🤖 Proof of Concept: Carding With AI Agents 🤖

[d0ctrine]

Proof of Concept: Carding With AI Agents

If youve been reading most of my guides youd know by now that I like to be at the bleeding edge of technology. I always try to discover new ways to bypass new shit or break even newer shit up. Having this approach to technology is the only way to keep up with advances in payment and site security.

​

And whats more bleeding edge than AI agents? Today we'll dive into what AI agents are their possible relationship with carding and how we might exploit them for more profit.

AI Agents ​

AI agents are autonomous software systems that can operate independently to perform tasks online. Unlike traditional bots that follow fixed scripts, these fuckers can actually think make decisions and navigate websites just like a human would.

​

Picture this: an AI agent is basically a digital ghost that possesses a web browser. It can click buttons fill forms, navigate menus and complete transactions without human intervention. Platforms like OpenAIs ChatGPT Operator Chinas Manus AI and Replits agent framework are leading this charge.

​

What makes these agents interesting for our purposes is that they don't just follow predefined paths—they adapt, troubleshoot and execute complex tasks like a human would. Want to book a flight? Find a hotel? Buy some shit online? These agents can handle it all.

The technical shit works like this: The system takes screenshots of the browser feeds them to an AI vision model that identifies whats on screen then the AI decides what action to take next. "See that Add to Cart button? Click there." The browser executes the command, takes another screenshot and the cycle repeats. All this happens in milliseconds creating a feedback loop that mimics human browsing behavior.

​

The promise? In the future you could potentially feed your agent a list of cards and have it card a bunch of sites while you kick back with a beer. That's not fantasy—thats where this tech is headed.

Architecture and Antifraud ​

What really keeps payment companies awake at night isnt just the idea that carders can get an AI slave to do transactions. Hell, you could pay some random dude on Fiverr to do that. No whats making them shit bricks is that the infrastructure of these AI platforms fundamentally undermines all the tools their antifraud systems use to block transactions.

Let's break down a typical AI agent platform like ChatGPT Operator:

See these platforms run on cloud-based Linux servers with automated Chrome browsers. Every agent session launches from the same data center IPs owned by companies like OpenAI or Manus. When you use Operator your request isnt coming from your home IP—its coming from OpenAIs servers in some AWS data center in Virginia.

​

These browsers are identical across sessions. Same version of Chrome, same OS same configurations same fucking everything. Where your personal browser has unique fingerprints—installed extensions fonts, screen resolution etc.—these cloud browsers are like mass-produced clones. They're either running headless (invisible) or in a virtual display to fake being a real browser.

Anti-fraud systems typically flag suspicious activity based on:

• IP reputation (data center IPs are suspicious)
• Device fingerprinting (identical fingerprints across multiple users scream fraud)
• Behavioral patterns (humans dont fill forms in 0.5 seconds)

​

But when legitimate AI agents create this exact pattern at scale fraud systems face a dilemma: block the AI traffic and lose legitimate business or allow it through and potentially open the floodgates to fraud.

[THANKS}

To view the content, you need to Sign In or Register.

[/THANKS]

Its like a prison where all the inmates and guards suddenly wear identical uniforms. How the fuck do you tell whos who?

The Upcoming Golden Age of Agentic Carding ​

"But d0c, if that's true then I can just grab a plan of an AI agent and hit Booking and all other hard-to-hit sites?" Not so fast homie. Theres still a huge factor making this impossible right now: there simply arent enough people using AI agents yet.

Currently this tech is janky and costly, and only tech enthusiasts give a shit about it. Unless OpenAI forces them to companies have no incentive to whitelist and approve transactions made using AI agents. Ive tried it myself multiple times and most transactions still get rejected.

​

The golden age we're anticipating is the sweet spot where:

• Enough normal people are using AI agents that companies are forced to accept their transactions
• Antifraud systems havent yet caught up with ways to fingerprint and distinguish between legitimate and fraudulent agent use

This window of opportunity is coming—maybe within a year. When companies start losing millions by declining legitimate AI agent transactions theyll have to adapt. Theyll start whitelisting known agent IPs and browser fingerprints creating a massive vulnerability we can exploit.



Think of it like this: If banks suddenly decided that everyone wearing a blue shirt must be trustworthy, what would criminals do? They'd all start wearing fucking blue shirts.

The true vulnerability isnt just that agents can automate carding—its that legitimate agent traffic creates cover for fraudulent agent traffic because they look identical to antifraud systems.

Where The Rubber Meets The Road ​

Im not a fortune teller so I don't know exactly how this will play out. Maybe there are already sites that have struck deals with OpenAI to pre-approve agent transactions—thats for you to discover through testing.

What I do know is that as these agents become more mainstream fraud prevention will need to shift from "human vs. bot" detection to "good intent vs. bad intent" detection. Theyll need to look beyond the technical fingerprints to patterns in behavior and context.

For now agent platforms are still too new and untrusted to be reliable carding tools. But watch this space closely—when mainstream adoption forces companies to accept agent-initiated transactions, there will be a window of opportunity before security catches up.

The uniformity of agent infrastructure creates the perfect storm: legitimate transactions that look identical to fraudulent ones forcing companies to lower their security standards to avoid false positives.

When that day comes, I'll be here saying I told you so. The only question is whether you'll be ready to capitalize on it.

d0ctrine out.

 

[allinred]

thanks

 

[huhauhas]

ty

 

[chevygirl3588]

 

[hoangying1]

Nice

 

[luci123]

View attachment 8447 Proof of Concept: Carding With AI Agents

If youve been reading most of my guides youd know by now that I like to be at the bleeding edge of technology. I always try to discover new ways to bypass new shit or break even newer shit up. Having this approach to technology is the only way to keep up with advances in payment and site security.

View attachment 8451​

And whats more bleeding edge than AI agents? Today we'll dive into what AI agents are their possible relationship with carding and how we might exploit them for more profit.

AI Agents ​

AI agents are autonomous software systems that can operate independently to perform tasks online. Unlike traditional bots that follow fixed scripts, these fuckers can actually think make decisions and navigate websites just like a human would.

View attachment 8452​

Picture this: an AI agent is basically a digital ghost that possesses a web browser. It can click buttons fill forms, navigate menus and complete transactions without human intervention. Platforms like OpenAIs ChatGPT Operator Chinas Manus AI and Replits agent framework are leading this charge.

View attachment 8453​

What makes these agents interesting for our purposes is that they don't just follow predefined paths—they adapt, troubleshoot and execute complex tasks like a human would. Want to book a flight? Find a hotel? Buy some shit online? These agents can handle it all.

The technical shit works like this: The system takes screenshots of the browser feeds them to an AI vision model that identifies whats on screen then the AI decides what action to take next. "See that Add to Cart button? Click there." The browser executes the command, takes another screenshot and the cycle repeats. All this happens in milliseconds creating a feedback loop that mimics human browsing behavior.

View attachment 8448
​

The promise? In the future you could potentially feed your agent a list of cards and have it card a bunch of sites while you kick back with a beer. That's not fantasy—thats where this tech is headed.

Architecture and Antifraud ​

What really keeps payment companies awake at night isnt just the idea that carders can get an AI slave to do transactions. Hell, you could pay some random dude on Fiverr to do that. No whats making them shit bricks is that the infrastructure of these AI platforms fundamentally undermines all the tools their antifraud systems use to block transactions.

Let's break down a typical AI agent platform like ChatGPT Operator:

See these platforms run on cloud-based Linux servers with automated Chrome browsers. Every agent session launches from the same data center IPs owned by companies like OpenAI or Manus. When you use Operator your request isnt coming from your home IP—its coming from OpenAIs servers in some AWS data center in Virginia.

View attachment 8456​

Estos navegadores son idénticos en todas las sesiones. Misma versión de Chrome , mismo sistema operativo, mismas configuraciones, todo igual. Mientras que tu navegador personal tiene características únicas (extensiones instaladas, fuentes, resolución de pantalla, etc.), estos navegadores en la nube son como clones producidos en masa. Se ejecutan de forma autónoma (invisible) o en una pantalla virtual para simular ser un navegador real.

Los sistemas antifraude generalmente detectan actividades sospechosas basándose en lo siguiente:

• Reputación de IP (las IP del centro de datos son sospechosas)
• Toma de huellas dactilares del dispositivo (huellas dactilares idénticas en varios usuarios indican fraude)
• Patrones de comportamiento (los humanos no completan formularios en 0,5 segundos)

View attachment 8457​

Pero cuando los agentes legítimos de IA crean este patrón exacto a gran escala, los sistemas fraudulentos enfrentan un dilema: bloquear el tráfico de IA y perder negocios legítimos o permitirlo y potencialmente abrir las compuertas al fraude .

[GRACIAS}
Texto oculto: no se puede citar.

[/GRACIAS]

Es como una prisión donde todos los presos y guardias de repente llevan uniformes idénticos. ¿Cómo demonios se sabe quién es quién?

La próxima era dorada del cardado agente ​

"Pero, d0c, si eso es cierto, ¿puedo simplemente conseguir un plan con un agente de IA y acceder a Booking y a todos los demás sitios difíciles de acceder?" No tan rápido, colega. Hay un factor importante que lo hace imposible ahora mismo: simplemente no hay suficientes personas usando agentes de IA todavía.

Actualmente, esta tecnología es deficiente y costosa, y solo a los entusiastas de la tecnología les importa. A menos que OpenAI las obligue, las empresas no tienen ningún incentivo para incluir en la lista blanca y aprobar las transacciones realizadas con agentes de IA . Lo he probado varias veces y la mayoría de las transacciones siguen siendo rechazadas.

View attachment 8458​

La edad de oro que anticipamos es el punto ideal donde:

• Hay suficientes personas normales que utilizan agentes de IA como para que las empresas se vean obligadas a aceptar sus transacciones.
• Los sistemas antifraude aún no se han puesto al día con las formas de identificar y distinguir entre el uso legítimo y fraudulento de agentes.

Esta oportunidad se avecina, quizás dentro de un año. Cuando las empresas empiecen a perder millones al rechazar transacciones legítimas con agentes de IA, tendrán que adaptarse. Empezarán a incluir en listas blancas las IP de agentes y las huellas digitales de navegadores conocidas, lo que creará una vulnerabilidad masiva que podremos explotar.

View attachment 8455

Piénsalo así: si los bancos decidieran de repente que todos los que visten camisa azul deben ser confiables, ¿qué harían los delincuentes? Todos empezarían a usar camisas azules, malditas.

La verdadera vulnerabilidad no es sólo que los agentes puedan automatizar el carding , sino que el tráfico de agentes legítimos crea una cobertura para el tráfico de agentes fraudulentos porque parecen idénticos a los sistemas antifraude.

Donde la teoría se pone en práctica ​

No soy adivino, así que no sé exactamente cómo resultará esto. Quizás ya haya sitios que hayan llegado a acuerdos con OpenAI para preaprobar las transacciones de los agentes; eso lo descubrirás mediante pruebas.

Lo que sí sé es que, a medida que estos agentes se generalicen, la prevención del fraude deberá pasar de la detección de "humanos vs. bots" a la detección de "buenas vs. malas intenciones". Deberán mirar más allá de las huellas técnicas y buscar patrones de comportamiento y contexto.

Por ahora, las plataformas de agentes son demasiado nuevas y poco fiables para ser herramientas de carding fiables . Pero hay que estar atentos: cuando la adopción generalizada obligue a las empresas a aceptar transacciones iniciadas por agentes, habrá una ventana de oportunidad antes de que la seguridad se ponga al día.

La uniformidad de la infraestructura de los agentes crea la tormenta perfecta: transacciones legítimas que parecen idénticas a las fraudulentas , lo que obliga a las empresas a reducir sus estándares de seguridad para evitar falsos positivos.

Cuando llegue ese día, estaré aquí diciéndote que te lo dije. La única pregunta es si estarás listo para aprovecharlo.

d0ctrina fuera.

Thanx

 

[RealEnzo]

View attachment 8447 Proof of Concept: Carding With AI Agents

If youve been reading most of my guides youd know by now that I like to be at the bleeding edge of technology. I always try to discover new ways to bypass new shit or break even newer shit up. Having this approach to technology is the only way to keep up with advances in payment and site security.

View attachment 8451​

And whats more bleeding edge than AI agents? Today we'll dive into what AI agents are their possible relationship with carding and how we might exploit them for more profit.

AI Agents ​

AI agents are autonomous software systems that can operate independently to perform tasks online. Unlike traditional bots that follow fixed scripts, these fuckers can actually think make decisions and navigate websites just like a human would.

View attachment 8452​

Picture this: an AI agent is basically a digital ghost that possesses a web browser. It can click buttons fill forms, navigate menus and complete transactions without human intervention. Platforms like OpenAIs ChatGPT Operator Chinas Manus AI and Replits agent framework are leading this charge.

View attachment 8453​

What makes these agents interesting for our purposes is that they don't just follow predefined paths—they adapt, troubleshoot and execute complex tasks like a human would. Want to book a flight? Find a hotel? Buy some shit online? These agents can handle it all.

The technical shit works like this: The system takes screenshots of the browser feeds them to an AI vision model that identifies whats on screen then the AI decides what action to take next. "See that Add to Cart button? Click there." The browser executes the command, takes another screenshot and the cycle repeats. All this happens in milliseconds creating a feedback loop that mimics human browsing behavior.

View attachment 8448
​

The promise? In the future you could potentially feed your agent a list of cards and have it card a bunch of sites while you kick back with a beer. That's not fantasy—thats where this tech is headed.

Architecture and Antifraud ​

What really keeps payment companies awake at night isnt just the idea that carders can get an AI slave to do transactions. Hell, you could pay some random dude on Fiverr to do that. No whats making them shit bricks is that the infrastructure of these AI platforms fundamentally undermines all the tools their antifraud systems use to block transactions.

Let's break down a typical AI agent platform like ChatGPT Operator:

See these platforms run on cloud-based Linux servers with automated Chrome browsers. Every agent session launches from the same data center IPs owned by companies like OpenAI or Manus. When you use Operator your request isnt coming from your home IP—its coming from OpenAIs servers in some AWS data center in Virginia.

View attachment 8456​

These browsers are identical across sessions. Same version of Chrome, same OS same configurations same fucking everything. Where your personal browser has unique fingerprints—installed extensions fonts, screen resolution etc.—these cloud browsers are like mass-produced clones. They're either running headless (invisible) or in a virtual display to fake being a real browser.

Anti-fraud systems typically flag suspicious activity based on:

• IP reputation (data center IPs are suspicious)
• Device fingerprinting (identical fingerprints across multiple users scream fraud)
• Behavioral patterns (humans dont fill forms in 0.5 seconds)

View attachment 8457​

But when legitimate AI agents create this exact pattern at scale fraud systems face a dilemma: block the AI traffic and lose legitimate business or allow it through and potentially open the floodgates to fraud.

[THANKS}
* Hidden text: cannot be quoted. *

[/THANKS]

Its like a prison where all the inmates and guards suddenly wear identical uniforms. How the fuck do you tell whos who?

The Upcoming Golden Age of Agentic Carding ​

"But d0c, if that's true then I can just grab a plan of an AI agent and hit Booking and all other hard-to-hit sites?" Not so fast homie. Theres still a huge factor making this impossible right now: there simply arent enough people using AI agents yet.

Currently this tech is janky and costly, and only tech enthusiasts give a shit about it. Unless OpenAI forces them to companies have no incentive to whitelist and approve transactions made using AI agents. Ive tried it myself multiple times and most transactions still get rejected.

View attachment 8458​

The golden age we're anticipating is the sweet spot where:

• Enough normal people are using AI agents that companies are forced to accept their transactions
• Antifraud systems havent yet caught up with ways to fingerprint and distinguish between legitimate and fraudulent agent use

This window of opportunity is coming—maybe within a year. When companies start losing millions by declining legitimate AI agent transactions theyll have to adapt. Theyll start whitelisting known agent IPs and browser fingerprints creating a massive vulnerability we can exploit.

View attachment 8455

Think of it like this: If banks suddenly decided that everyone wearing a blue shirt must be trustworthy, what would criminals do? They'd all start wearing fucking blue shirts.

The true vulnerability isnt just that agents can automate carding—its that legitimate agent traffic creates cover for fraudulent agent traffic because they look identical to antifraud systems.

Where The Rubber Meets The Road ​

Im not a fortune teller so I don't know exactly how this will play out. Maybe there are already sites that have struck deals with OpenAI to pre-approve agent transactions—thats for you to discover through testing.

What I do know is that as these agents become more mainstream fraud prevention will need to shift from "human vs. bot" detection to "good intent vs. bad intent" detection. Theyll need to look beyond the technical fingerprints to patterns in behavior and context.

For now agent platforms are still too new and untrusted to be reliable carding tools. But watch this space closely—when mainstream adoption forces companies to accept agent-initiated transactions, there will be a window of opportunity before security catches up.

The uniformity of agent infrastructure creates the perfect storm: legitimate transactions that look identical to fraudulent ones forcing companies to lower their security standards to avoid false positives.

When that day comes, I'll be here saying I told you so. The only question is whether you'll be ready to capitalize on it.

d0ctrine out.

YO

 

[Drawable]

View attachment 8447 Proof of Concept: Carding With AI Agents

If youve been reading most of my guides youd know by now that I like to be at the bleeding edge of technology. I always try to discover new ways to bypass new shit or break even newer shit up. Having this approach to technology is the only way to keep up with advances in payment and site security.

View attachment 8451​

And whats more bleeding edge than AI agents? Today we'll dive into what AI agents are their possible relationship with carding and how we might exploit them for more profit.

AI Agents ​

AI agents are autonomous software systems that can operate independently to perform tasks online. Unlike traditional bots that follow fixed scripts, these fuckers can actually think make decisions and navigate websites just like a human would.

View attachment 8452​

Picture this: an AI agent is basically a digital ghost that possesses a web browser. It can click buttons fill forms, navigate menus and complete transactions without human intervention. Platforms like OpenAIs ChatGPT Operator Chinas Manus AI and Replits agent framework are leading this charge.

View attachment 8453​

What makes these agents interesting for our purposes is that they don't just follow predefined paths—they adapt, troubleshoot and execute complex tasks like a human would. Want to book a flight? Find a hotel? Buy some shit online? These agents can handle it all.

The technical shit works like this: The system takes screenshots of the browser feeds them to an AI vision model that identifies whats on screen then the AI decides what action to take next. "See that Add to Cart button? Click there." The browser executes the command, takes another screenshot and the cycle repeats. All this happens in milliseconds creating a feedback loop that mimics human browsing behavior.

View attachment 8448
​

The promise? In the future you could potentially feed your agent a list of cards and have it card a bunch of sites while you kick back with a beer. That's not fantasy—thats where this tech is headed.

Architecture and Antifraud ​

What really keeps payment companies awake at night isnt just the idea that carders can get an AI slave to do transactions. Hell, you could pay some random dude on Fiverr to do that. No whats making them shit bricks is that the infrastructure of these AI platforms fundamentally undermines all the tools their antifraud systems use to block transactions.

Let's break down a typical AI agent platform like ChatGPT Operator:

See these platforms run on cloud-based Linux servers with automated Chrome browsers. Every agent session launches from the same data center IPs owned by companies like OpenAI or Manus. When you use Operator your request isnt coming from your home IP—its coming from OpenAIs servers in some AWS data center in Virginia.

View attachment 8456​

These browsers are identical across sessions. Same version of Chrome, same OS same configurations same fucking everything. Where your personal browser has unique fingerprints—installed extensions fonts, screen resolution etc.—these cloud browsers are like mass-produced clones. They're either running headless (invisible) or in a virtual display to fake being a real browser.

Anti-fraud systems typically flag suspicious activity based on:

• IP reputation (data center IPs are suspicious)
• Device fingerprinting (identical fingerprints across multiple users scream fraud)
• Behavioral patterns (humans dont fill forms in 0.5 seconds)

View attachment 8457​

But when legitimate AI agents create this exact pattern at scale fraud systems face a dilemma: block the AI traffic and lose legitimate business or allow it through and potentially open the floodgates to fraud.

[THANKS}
* Hidden text: cannot be quoted. *

[/THANKS]

Its like a prison where all the inmates and guards suddenly wear identical uniforms. How the fuck do you tell whos who?

The Upcoming Golden Age of Agentic Carding ​

"But d0c, if that's true then I can just grab a plan of an AI agent and hit Booking and all other hard-to-hit sites?" Not so fast homie. Theres still a huge factor making this impossible right now: there simply arent enough people using AI agents yet.

Currently this tech is janky and costly, and only tech enthusiasts give a shit about it. Unless OpenAI forces them to companies have no incentive to whitelist and approve transactions made using AI agents. Ive tried it myself multiple times and most transactions still get rejected.

View attachment 8458​

The golden age we're anticipating is the sweet spot where:

• Enough normal people are using AI agents that companies are forced to accept their transactions
• Antifraud systems havent yet caught up with ways to fingerprint and distinguish between legitimate and fraudulent agent use

This window of opportunity is coming—maybe within a year. When companies start losing millions by declining legitimate AI agent transactions theyll have to adapt. Theyll start whitelisting known agent IPs and browser fingerprints creating a massive vulnerability we can exploit.

View attachment 8455

Think of it like this: If banks suddenly decided that everyone wearing a blue shirt must be trustworthy, what would criminals do? They'd all start wearing fucking blue shirts.

The true vulnerability isnt just that agents can automate carding—its that legitimate agent traffic creates cover for fraudulent agent traffic because they look identical to antifraud systems.

Where The Rubber Meets The Road ​

Im not a fortune teller so I don't know exactly how this will play out. Maybe there are already sites that have struck deals with OpenAI to pre-approve agent transactions—thats for you to discover through testing.

What I do know is that as these agents become more mainstream fraud prevention will need to shift from "human vs. bot" detection to "good intent vs. bad intent" detection. Theyll need to look beyond the technical fingerprints to patterns in behavior and context.

For now agent platforms are still too new and untrusted to be reliable carding tools. But watch this space closely—when mainstream adoption forces companies to accept agent-initiated transactions, there will be a window of opportunity before security catches up.

The uniformity of agent infrastructure creates the perfect storm: legitimate transactions that look identical to fraudulent ones forcing companies to lower their security standards to avoid false positives.

When that day comes, I'll be here saying I told you so. The only question is whether you'll be ready to capitalize on it.

d0ctrine out.

this is soooo cool

 

[Drawable]

View attachment 8447 Proof of Concept: Carding With AI Agents

If youve been reading most of my guides youd know by now that I like to be at the bleeding edge of technology. I always try to discover new ways to bypass new shit or break even newer shit up. Having this approach to technology is the only way to keep up with advances in payment and site security.

View attachment 8451​

And whats more bleeding edge than AI agents? Today we'll dive into what AI agents are their possible relationship with carding and how we might exploit them for more profit.

AI Agents ​

AI agents are autonomous software systems that can operate independently to perform tasks online. Unlike traditional bots that follow fixed scripts, these fuckers can actually think make decisions and navigate websites just like a human would.

View attachment 8452​

Picture this: an AI agent is basically a digital ghost that possesses a web browser. It can click buttons fill forms, navigate menus and complete transactions without human intervention. Platforms like OpenAIs ChatGPT Operator Chinas Manus AI and Replits agent framework are leading this charge.

View attachment 8453​

What makes these agents interesting for our purposes is that they don't just follow predefined paths—they adapt, troubleshoot and execute complex tasks like a human would. Want to book a flight? Find a hotel? Buy some shit online? These agents can handle it all.

The technical shit works like this: The system takes screenshots of the browser feeds them to an AI vision model that identifies whats on screen then the AI decides what action to take next. "See that Add to Cart button? Click there." The browser executes the command, takes another screenshot and the cycle repeats. All this happens in milliseconds creating a feedback loop that mimics human browsing behavior.

View attachment 8448
​

The promise? In the future you could potentially feed your agent a list of cards and have it card a bunch of sites while you kick back with a beer. That's not fantasy—thats where this tech is headed.

Architecture and Antifraud ​

What really keeps payment companies awake at night isnt just the idea that carders can get an AI slave to do transactions. Hell, you could pay some random dude on Fiverr to do that. No whats making them shit bricks is that the infrastructure of these AI platforms fundamentally undermines all the tools their antifraud systems use to block transactions.

Let's break down a typical AI agent platform like ChatGPT Operator:

See these platforms run on cloud-based Linux servers with automated Chrome browsers. Every agent session launches from the same data center IPs owned by companies like OpenAI or Manus. When you use Operator your request isnt coming from your home IP—its coming from OpenAIs servers in some AWS data center in Virginia.

View attachment 8456​

These browsers are identical across sessions. Same version of Chrome, same OS same configurations same fucking everything. Where your personal browser has unique fingerprints—installed extensions fonts, screen resolution etc.—these cloud browsers are like mass-produced clones. They're either running headless (invisible) or in a virtual display to fake being a real browser.

Anti-fraud systems typically flag suspicious activity based on:

• IP reputation (data center IPs are suspicious)
• Device fingerprinting (identical fingerprints across multiple users scream fraud)
• Behavioral patterns (humans dont fill forms in 0.5 seconds)

View attachment 8457​

But when legitimate AI agents create this exact pattern at scale fraud systems face a dilemma: block the AI traffic and lose legitimate business or allow it through and potentially open the floodgates to fraud.

[THANKS}
* Hidden text: cannot be quoted. *

[/THANKS]

Its like a prison where all the inmates and guards suddenly wear identical uniforms. How the fuck do you tell whos who?

The Upcoming Golden Age of Agentic Carding ​

"But d0c, if that's true then I can just grab a plan of an AI agent and hit Booking and all other hard-to-hit sites?" Not so fast homie. Theres still a huge factor making this impossible right now: there simply arent enough people using AI agents yet.

Currently this tech is janky and costly, and only tech enthusiasts give a shit about it. Unless OpenAI forces them to companies have no incentive to whitelist and approve transactions made using AI agents. Ive tried it myself multiple times and most transactions still get rejected.

View attachment 8458​

The golden age we're anticipating is the sweet spot where:

• Enough normal people are using AI agents that companies are forced to accept their transactions
• Antifraud systems havent yet caught up with ways to fingerprint and distinguish between legitimate and fraudulent agent use

This window of opportunity is coming—maybe within a year. When companies start losing millions by declining legitimate AI agent transactions theyll have to adapt. Theyll start whitelisting known agent IPs and browser fingerprints creating a massive vulnerability we can exploit.

View attachment 8455

Think of it like this: If banks suddenly decided that everyone wearing a blue shirt must be trustworthy, what would criminals do? They'd all start wearing fucking blue shirts.

The true vulnerability isnt just that agents can automate carding—its that legitimate agent traffic creates cover for fraudulent agent traffic because they look identical to antifraud systems.

Where The Rubber Meets The Road ​

Im not a fortune teller so I don't know exactly how this will play out. Maybe there are already sites that have struck deals with OpenAI to pre-approve agent transactions—thats for you to discover through testing.

What I do know is that as these agents become more mainstream fraud prevention will need to shift from "human vs. bot" detection to "good intent vs. bad intent" detection. Theyll need to look beyond the technical fingerprints to patterns in behavior and context.

For now agent platforms are still too new and untrusted to be reliable carding tools. But watch this space closely—when mainstream adoption forces companies to accept agent-initiated transactions, there will be a window of opportunity before security catches up.

The uniformity of agent infrastructure creates the perfect storm: legitimate transactions that look identical to fraudulent ones forcing companies to lower their security standards to avoid false positives.

When that day comes, I'll be here saying I told you so. The only question is whether you'll be ready to capitalize on it.

d0ctrine out.

thanks d0c

 

[distantguy]

View attachment 8447 Proof of Concept: Carding With AI Agents

If youve been reading most of my guides youd know by now that I like to be at the bleeding edge of technology. I always try to discover new ways to bypass new shit or break even newer shit up. Having this approach to technology is the only way to keep up with advances in payment and site security.

View attachment 8451​

And whats more bleeding edge than AI agents? Today we'll dive into what AI agents are their possible relationship with carding and how we might exploit them for more profit.

AI Agents ​

AI agents are autonomous software systems that can operate independently to perform tasks online. Unlike traditional bots that follow fixed scripts, these fuckers can actually think make decisions and navigate websites just like a human would.

View attachment 8452​

Picture this: an AI agent is basically a digital ghost that possesses a web browser. It can click buttons fill forms, navigate menus and complete transactions without human intervention. Platforms like OpenAIs ChatGPT Operator Chinas Manus AI and Replits agent framework are leading this charge.

View attachment 8453​

What makes these agents interesting for our purposes is that they don't just follow predefined paths—they adapt, troubleshoot and execute complex tasks like a human would. Want to book a flight? Find a hotel? Buy some shit online? These agents can handle it all.

The technical shit works like this: The system takes screenshots of the browser feeds them to an AI vision model that identifies whats on screen then the AI decides what action to take next. "See that Add to Cart button? Click there." The browser executes the command, takes another screenshot and the cycle repeats. All this happens in milliseconds creating a feedback loop that mimics human browsing behavior.

View attachment 8448
​

The promise? In the future you could potentially feed your agent a list of cards and have it card a bunch of sites while you kick back with a beer. That's not fantasy—thats where this tech is headed.

Architecture and Antifraud ​

What really keeps payment companies awake at night isnt just the idea that carders can get an AI slave to do transactions. Hell, you could pay some random dude on Fiverr to do that. No whats making them shit bricks is that the infrastructure of these AI platforms fundamentally undermines all the tools their antifraud systems use to block transactions.

Let's break down a typical AI agent platform like ChatGPT Operator:

See these platforms run on cloud-based Linux servers with automated Chrome browsers. Every agent session launches from the same data center IPs owned by companies like OpenAI or Manus. When you use Operator your request isnt coming from your home IP—its coming from OpenAIs servers in some AWS data center in Virginia.

View attachment 8456​

These browsers are identical across sessions. Same version of Chrome, same OS same configurations same fucking everything. Where your personal browser has unique fingerprints—installed extensions fonts, screen resolution etc.—these cloud browsers are like mass-produced clones. They're either running headless (invisible) or in a virtual display to fake being a real browser.

Anti-fraud systems typically flag suspicious activity based on:

• IP reputation (data center IPs are suspicious)
• Device fingerprinting (identical fingerprints across multiple users scream fraud)
• Behavioral patterns (humans dont fill forms in 0.5 seconds)

View attachment 8457​

But when legitimate AI agents create this exact pattern at scale fraud systems face a dilemma: block the AI traffic and lose legitimate business or allow it through and potentially open the floodgates to fraud.

[THANKS}
* Hidden text: cannot be quoted. *

[/THANKS]

Its like a prison where all the inmates and guards suddenly wear identical uniforms. How the fuck do you tell whos who?

The Upcoming Golden Age of Agentic Carding ​

"Nhưng d0c, nếu điều đó đúng thì tôi có thể lấy một kế hoạch của một đặc vụ AI và truy cập Booking và tất cả các trang web khó truy cập khác?" homie không nhanh như vậy. Vẫn còn một yếu tố lớn khiến điều này trở nên bất khả thi ngay bây giờ: đơn giản là chưa có đủ người sử dụng các tác nhân AI.

Hiện tại công nghệ này đang giật và tốn kém, và chỉ những người đam mê công nghệ mới quan tâm đến nó. Trừ khi OpenAI buộc họ, các công ty không có động lực để đưa vào danh sách trắng và phê duyệt các giao dịch được thực hiện bằng các tác nhân AI. Tôi đã tự mình thử nhiều lần và hầu hết các giao dịch vẫn bị từ chối.

View attachment 8458​

Thời kỳ hoàng kim mà chúng tôi đang mong đợi là điểm ngọt ngào trong đó:

• Đủ người bình thường đang sử dụng các tác nhân AI mà các công ty buộc phải chấp nhận giao dịch của họ
• Các hệ thống chống gian lận vẫn chưa bắt kịp các cách để lấy dấu vân tay và phân biệt giữa việc sử dụng tác nhân hợp pháp và gian lận

Cửa sổ cơ hội này đang đến - có thể trong vòng một năm. Khi các công ty bắt đầu mất hàng triệu đô la bằng cách từ chối các giao dịch tác nhân AI hợp pháp, họ sẽ phải thích nghi. Họ sẽ bắt đầu đưa vào danh sách trắng các IP tác nhân đã biết và dấu vân tay trình duyệt, tạo ra một lỗ hổng lớn mà chúng ta có thể khai thác.

View attachment 8455

Hãy nghĩ về nó như thế này: Nếu các ngân hàng đột nhiên quyết định rằng tất cả mọi người mặc áo sơ mi xanh phải đáng tin cậy, tội phạm sẽ làm gì? Tất cả họ đều bắt đầu mặc áo sơ mi màu xanh chết tiệt.

Lỗ hổng thực sự không chỉ là các đại lý có thể tự động hóa việc phân loại mà còn là lưu lượng đại lý hợp pháp tạo ra vỏ bọc cho lưu lượng đại lý gian lận vì chúng trông giống với các hệ thống chống gian lận.

Nơi cao su gặp đường ​

Tôi không phải là thầy bói nên tôi không biết chính xác điều này sẽ diễn ra như thế nào. Có thể đã có các trang web đã đạt được thỏa thuận với OpenAI để phê duyệt trước các giao dịch đại lý — đó là để bạn khám phá thông qua thử nghiệm.

Những gì tôi biết là khi các tác nhân này trở nên phổ biến hơn, việc phòng chống gian lận sẽ cần phải chuyển từ phát hiện "con người so với bot" sang phát hiện "ý định tốt so với ý định xấu". Họ sẽ cần phải nhìn xa hơn dấu vân tay kỹ thuật đến các khuôn mẫu trong hành vi và bối cảnh.

Hiện tại, các nền tảng đại lý vẫn còn quá mới và không đáng tin cậy để trở thành công cụ chải thẻ đáng tin cậy. Nhưng hãy theo dõi chặt chẽ không gian này - khi việc áp dụng chính thống buộc các công ty phải chấp nhận các giao dịch do đại lý khởi xướng, sẽ có một cửa sổ cơ hội trước khi bảo mật bắt kịp.

Sự đồng nhất của cơ sở hạ tầng đại lý tạo ra cơn bão hoàn hảo: các giao dịch hợp pháp trông giống với các giao dịch gian lận buộc các công ty phải hạ thấp tiêu chuẩn bảo mật của họ để tránh dương tính giả.

Khi ngày đó đến, tôi sẽ ở đây nói rằng tôi đã nói với bạn như vậy. Câu hỏi duy nhất là liệu bạn có sẵn sàng tận dụng nó hay không.

d0ctrine ra.

thank you

 

[distantguy]

View attachment 8447 Proof of Concept: Carding With AI Agents

If youve been reading most of my guides youd know by now that I like to be at the bleeding edge of technology. I always try to discover new ways to bypass new shit or break even newer shit up. Having this approach to technology is the only way to keep up with advances in payment and site security.

View attachment 8451​

And whats more bleeding edge than AI agents? Today we'll dive into what AI agents are their possible relationship with carding and how we might exploit them for more profit.

AI Agents ​

AI agents are autonomous software systems that can operate independently to perform tasks online. Unlike traditional bots that follow fixed scripts, these fuckers can actually think make decisions and navigate websites just like a human would.

View attachment 8452​

Picture this: an AI agent is basically a digital ghost that possesses a web browser. It can click buttons fill forms, navigate menus and complete transactions without human intervention. Platforms like OpenAIs ChatGPT Operator Chinas Manus AI and Replits agent framework are leading this charge.

View attachment 8453​

What makes these agents interesting for our purposes is that they don't just follow predefined paths—they adapt, troubleshoot and execute complex tasks like a human would. Want to book a flight? Find a hotel? Buy some shit online? These agents can handle it all.

The technical shit works like this: The system takes screenshots of the browser feeds them to an AI vision model that identifies whats on screen then the AI decides what action to take next. "See that Add to Cart button? Click there." The browser executes the command, takes another screenshot and the cycle repeats. All this happens in milliseconds creating a feedback loop that mimics human browsing behavior.

View attachment 8448
​

The promise? In the future you could potentially feed your agent a list of cards and have it card a bunch of sites while you kick back with a beer. That's not fantasy—thats where this tech is headed.

Architecture and Antifraud ​

What really keeps payment companies awake at night isnt just the idea that carders can get an AI slave to do transactions. Hell, you could pay some random dude on Fiverr to do that. No whats making them shit bricks is that the infrastructure of these AI platforms fundamentally undermines all the tools their antifraud systems use to block transactions.

Let's break down a typical AI agent platform like ChatGPT Operator:

See these platforms run on cloud-based Linux servers with automated Chrome browsers. Every agent session launches from the same data center IPs owned by companies like OpenAI or Manus. When you use Operator your request isnt coming from your home IP—its coming from OpenAIs servers in some AWS data center in Virginia.

View attachment 8456​

These browsers are identical across sessions. Same version of Chrome, same OS same configurations same fucking everything. Where your personal browser has unique fingerprints—installed extensions fonts, screen resolution etc.—these cloud browsers are like mass-produced clones. They're either running headless (invisible) or in a virtual display to fake being a real browser.

Anti-fraud systems typically flag suspicious activity based on:

• IP reputation (data center IPs are suspicious)
• Device fingerprinting (identical fingerprints across multiple users scream fraud)
• Behavioral patterns (humans dont fill forms in 0.5 seconds)

View attachment 8457​

But when legitimate AI agents create this exact pattern at scale fraud systems face a dilemma: block the AI traffic and lose legitimate business or allow it through and potentially open the floodgates to fraud.

[THANKS}
* Hidden text: cannot be quoted. *

[/THANKS]

Its like a prison where all the inmates and guards suddenly wear identical uniforms. How the fuck do you tell whos who?

The Upcoming Golden Age of Agentic Carding ​

"But d0c, if that's true then I can just grab a plan of an AI agent and hit Booking and all other hard-to-hit sites?" Not so fast homie. Theres still a huge factor making this impossible right now: there simply arent enough people using AI agents yet.

Currently this tech is janky and costly, and only tech enthusiasts give a shit about it. Unless OpenAI forces them to companies have no incentive to whitelist and approve transactions made using AI agents. Ive tried it myself multiple times and most transactions still get rejected.

View attachment 8458​

The golden age we're anticipating is the sweet spot where:

• Enough normal people are using AI agents that companies are forced to accept their transactions
• Antifraud systems havent yet caught up with ways to fingerprint and distinguish between legitimate and fraudulent agent use

This window of opportunity is coming—maybe within a year. When companies start losing millions by declining legitimate AI agent transactions theyll have to adapt. Theyll start whitelisting known agent IPs and browser fingerprints creating a massive vulnerability we can exploit.

View attachment 8455

Think of it like this: If banks suddenly decided that everyone wearing a blue shirt must be trustworthy, what would criminals do? They'd all start wearing fucking blue shirts.

The true vulnerability isnt just that agents can automate carding—its that legitimate agent traffic creates cover for fraudulent agent traffic because they look identical to antifraud systems.

Where The Rubber Meets The Road ​

Im not a fortune teller so I don't know exactly how this will play out. Maybe there are already sites that have struck deals with OpenAI to pre-approve agent transactions—thats for you to discover through testing.

What I do know is that as these agents become more mainstream fraud prevention will need to shift from "human vs. bot" detection to "good intent vs. bad intent" detection. Theyll need to look beyond the technical fingerprints to patterns in behavior and context.

For now agent platforms are still too new and untrusted to be reliable carding tools. But watch this space closely—when mainstream adoption forces companies to accept agent-initiated transactions, there will be a window of opportunity before security catches up.

The uniformity of agent infrastructure creates the perfect storm: legitimate transactions that look identical to fraudulent ones forcing companies to lower their security standards to avoid false positives.

When that day comes, I'll be here saying I told you so. The only question is whether you'll be ready to capitalize on it.

d0ctrine out.

thank you

 

[CMEABQ]

Тnx bro

 

[dedmaroz]

Thank you kindly sire

 

[bigbadmarkis]

maybe the future is looking bright after all

 

[luisrosario]

1111111

 

[wangtxai]

thanks

 

[Fbsegvdtviurg]

View attachment 8447 Proof of Concept: Carding With AI Agents

If youve been reading most of my guides youd know by now that I like to be at the bleeding edge of technology. I always try to discover new ways to bypass new shit or break even newer shit up. Having this approach to technology is the only way to keep up with advances in payment and site security.

View attachment 8451​

And whats more bleeding edge than AI agents? Today we'll dive into what AI agents are their possible relationship with carding and how we might exploit them for more profit.

AI Agents ​

AI agents are autonomous software systems that can operate independently to perform tasks online. Unlike traditional bots that follow fixed scripts, these fuckers can actually think make decisions and navigate websites just like a human would.

View attachment 8452​

Picture this: an AI agent is basically a digital ghost that possesses a web browser. It can click buttons fill forms, navigate menus and complete transactions without human intervention. Platforms like OpenAIs ChatGPT Operator Chinas Manus AI and Replits agent framework are leading this charge.

View attachment 8453​

What makes these agents interesting for our purposes is that they don't just follow predefined paths—they adapt, troubleshoot and execute complex tasks like a human would. Want to book a flight? Find a hotel? Buy some shit online? These agents can handle it all.

The technical shit works like this: The system takes screenshots of the browser feeds them to an AI vision model that identifies whats on screen then the AI decides what action to take next. "See that Add to Cart button? Click there." The browser executes the command, takes another screenshot and the cycle repeats. All this happens in milliseconds creating a feedback loop that mimics human browsing behavior.

View attachment 8448
​

The promise? In the future you could potentially feed your agent a list of cards and have it card a bunch of sites while you kick back with a beer. That's not fantasy—thats where this tech is headed.

Architecture and Antifraud ​

What really keeps payment companies awake at night isnt just the idea that carders can get an AI slave to do transactions. Hell, you could pay some random dude on Fiverr to do that. No whats making them shit bricks is that the infrastructure of these AI platforms fundamentally undermines all the tools their antifraud systems use to block transactions.

Let's break down a typical AI agent platform like ChatGPT Operator:

See these platforms run on cloud-based Linux servers with automated Chrome browsers. Every agent session launches from the same data center IPs owned by companies like OpenAI or Manus. When you use Operator your request isnt coming from your home IP—its coming from OpenAIs servers in some AWS data center in Virginia.

View attachment 8456​

These browsers are identical across sessions. Same version of Chrome, same OS same configurations same fucking everything. Where your personal browser has unique fingerprints—installed extensions fonts, screen resolution etc.—these cloud browsers are like mass-produced clones. They're either running headless (invisible) or in a virtual display to fake being a real browser.

Anti-fraud systems typically flag suspicious activity based on:

• IP reputation (data center IPs are suspicious)
• Device fingerprinting (identical fingerprints across multiple users scream fraud)
• Behavioral patterns (humans dont fill forms in 0.5 seconds)

View attachment 8457​

But when legitimate AI agents create this exact pattern at scale fraud systems face a dilemma: block the AI traffic and lose legitimate business or allow it through and potentially open the floodgates to fraud.

[THANKS}
* Hidden text: cannot be quoted. *

[/THANKS]

Its like a prison where all the inmates and guards suddenly wear identical uniforms. How the fuck do you tell whos who?

The Upcoming Golden Age of Agentic Carding ​

"But d0c, if that's true then I can just grab a plan of an AI agent and hit Booking and all other hard-to-hit sites?" Not so fast homie. Theres still a huge factor making this impossible right now: there simply arent enough people using AI agents yet.

Currently this tech is janky and costly, and only tech enthusiasts give a shit about it. Unless OpenAI forces them to companies have no incentive to whitelist and approve transactions made using AI agents. Ive tried it myself multiple times and most transactions still get rejected.

View attachment 8458​

The golden age we're anticipating is the sweet spot where:

• Enough normal people are using AI agents that companies are forced to accept their transactions
• Antifraud systems havent yet caught up with ways to fingerprint and distinguish between legitimate and fraudulent agent use

This window of opportunity is coming—maybe within a year. When companies start losing millions by declining legitimate AI agent transactions theyll have to adapt. Theyll start whitelisting known agent IPs and browser fingerprints creating a massive vulnerability we can exploit.

View attachment 8455

Think of it like this: If banks suddenly decided that everyone wearing a blue shirt must be trustworthy, what would criminals do? They'd all start wearing fucking blue shirts.

The true vulnerability isnt just that agents can automate carding—its that legitimate agent traffic creates cover for fraudulent agent traffic because they look identical to antifraud systems.

Where The Rubber Meets The Road ​

Im not a fortune teller so I don't know exactly how this will play out. Maybe there are already sites that have struck deals with OpenAI to pre-approve agent transactions—thats for you to discover through testing.

What I do know is that as these agents become more mainstream fraud prevention will need to shift from "human vs. bot" detection to "good intent vs. bad intent" detection. Theyll need to look beyond the technical fingerprints to patterns in behavior and context.

Por ahora, las plataformas de agentes son demasiado nuevas y poco fiables para ser herramientas de carding fiables . Pero hay que estar atentos: cuando la adopción generalizada obligue a las empresas a aceptar transacciones iniciadas por agentes, habrá una ventana de oportunidad antes de que la seguridad se ponga al día.

La uniformidad de la infraestructura de los agentes crea la tormenta perfecta: transacciones legítimas que parecen idénticas a las fraudulentas , lo que obliga a las empresas a reducir sus estándares de seguridad para evitar falsos positivos.

Cuando llegue ese día, estaré aquí diciéndote que te lo dije. La única pregunta es si estarás listo para aprovecharlo.

d0ctrina fuera.

H

 

[Fbsegvdtviurg]

View attachment 8447 Proof of Concept: Carding With AI Agents

If youve been reading most of my guides youd know by now that I like to be at the bleeding edge of technology. I always try to discover new ways to bypass new shit or break even newer shit up. Having this approach to technology is the only way to keep up with advances in payment and site security.

View attachment 8451​

And whats more bleeding edge than AI agents? Today we'll dive into what AI agents are their possible relationship with carding and how we might exploit them for more profit.

AI Agents ​

AI agents are autonomous software systems that can operate independently to perform tasks online. Unlike traditional bots that follow fixed scripts, these fuckers can actually think make decisions and navigate websites just like a human would.

View attachment 8452​

Picture this: an AI agent is basically a digital ghost that possesses a web browser. It can click buttons fill forms, navigate menus and complete transactions without human intervention. Platforms like OpenAIs ChatGPT Operator Chinas Manus AI and Replits agent framework are leading this charge.

View attachment 8453​

What makes these agents interesting for our purposes is that they don't just follow predefined paths—they adapt, troubleshoot and execute complex tasks like a human would. Want to book a flight? Find a hotel? Buy some shit online? These agents can handle it all.

The technical shit works like this: The system takes screenshots of the browser feeds them to an AI vision model that identifies whats on screen then the AI decides what action to take next. "See that Add to Cart button? Click there." The browser executes the command, takes another screenshot and the cycle repeats. All this happens in milliseconds creating a feedback loop that mimics human browsing behavior.

View attachment 8448
​

The promise? In the future you could potentially feed your agent a list of cards and have it card a bunch of sites while you kick back with a beer. That's not fantasy—thats where this tech is headed.

Architecture and Antifraud ​

What really keeps payment companies awake at night isnt just the idea that carders can get an AI slave to do transactions. Hell, you could pay some random dude on Fiverr to do that. No whats making them shit bricks is that the infrastructure of these AI platforms fundamentally undermines all the tools their antifraud systems use to block transactions.

Let's break down a typical AI agent platform like ChatGPT Operator:

See these platforms run on cloud-based Linux servers with automated Chrome browsers. Every agent session launches from the same data center IPs owned by companies like OpenAI or Manus. When you use Operator your request isnt coming from your home IP—its coming from OpenAIs servers in some AWS data center in Virginia.

View attachment 8456​

Estos navegadores son idénticos en todas las sesiones. Misma versión de Chrome , mismo sistema operativo, mismas configuraciones, todo igual. Mientras que tu navegador personal tiene características únicas (extensiones instaladas, fuentes, resolución de pantalla, etc.), estos navegadores en la nube son como clones producidos en masa. Se ejecutan de forma autónoma (invisible) o en una pantalla virtual para simular ser un navegador real.

Los sistemas antifraude generalmente detectan actividades sospechosas basándose en lo siguiente:

• Reputación de IP (las IP del centro de datos son sospechosas)
• Toma de huellas dactilares del dispositivo (huellas dactilares idénticas en varios usuarios indican fraude)
• Patrones de comportamiento (los humanos no completan formularios en 0,5 segundos)

View attachment 8457​

Pero cuando los agentes legítimos de IA crean este patrón exacto a gran escala, los sistemas fraudulentos enfrentan un dilema: bloquear el tráfico de IA y perder negocios legítimos o permitirlo y potencialmente abrir las compuertas al fraude .

[GRACIAS}
Texto oculto: no se puede citar.

[/GRACIAS]

Es como una prisión donde todos los presos y guardias de repente llevan uniformes idénticos. ¿Cómo demonios se sabe quién es quién?

La próxima era dorada del cardado agente ​

"Pero, d0c, si eso es cierto, ¿puedo simplemente conseguir un plan con un agente de IA y acceder a Booking y a todos los demás sitios difíciles de acceder?" No tan rápido, colega. Hay un factor importante que lo hace imposible ahora mismo: simplemente no hay suficientes personas usando agentes de IA todavía.

Actualmente, esta tecnología es deficiente y costosa, y solo a los entusiastas de la tecnología les importa. A menos que OpenAI las obligue, las empresas no tienen ningún incentivo para incluir en la lista blanca y aprobar las transacciones realizadas con agentes de IA . Lo he probado varias veces y la mayoría de las transacciones siguen siendo rechazadas.

View attachment 8458​

La edad de oro que anticipamos es el punto ideal donde:

• Hay suficientes personas normales que utilizan agentes de IA como para que las empresas se vean obligadas a aceptar sus transacciones.
• Los sistemas antifraude aún no se han puesto al día con las formas de identificar y distinguir entre el uso legítimo y fraudulento de agentes.

Esta oportunidad se avecina, quizás dentro de un año. Cuando las empresas empiecen a perder millones al rechazar transacciones legítimas con agentes de IA, tendrán que adaptarse. Empezarán a incluir en listas blancas las IP de agentes y las huellas digitales de navegadores conocidas, lo que creará una vulnerabilidad masiva que podremos explotar.

View attachment 8455

Piénsalo así: si los bancos decidieran de repente que todos los que visten camisa azul deben ser confiables, ¿qué harían los delincuentes? Empezarían a usar camisas azules, carajo.

La verdadera vulnerabilidad no es sólo que los agentes puedan automatizar el carding , sino que el tráfico de agentes legítimos crea una cobertura para el tráfico de agentes fraudulentos porque parecen idénticos a los sistemas antifraude.

Donde la teoría se pone en práctica ​

No soy adivino, así que no sé exactamente cómo resultará esto. Quizás ya haya sitios que hayan llegado a acuerdos con OpenAI para preaprobar las transacciones de los agentes; eso lo descubrirás mediante pruebas.

Lo que sí sé es que, a medida que estos agentes se generalicen, la prevención del fraude deberá pasar de la detección de "humanos vs. bots" a la detección de "buenas vs. malas intenciones". Deberán mirar más allá de las huellas técnicas y buscar patrones de comportamiento y contexto.

Por ahora, las plataformas de agentes son demasiado nuevas y poco fiables para ser herramientas de carding fiables . Pero hay que estar atentos: cuando la adopción generalizada obligue a las empresas a aceptar transacciones iniciadas por agentes, habrá una ventana de oportunidad antes de que la seguridad se ponga al día.

La uniformidad de la infraestructura de los agentes crea la tormenta perfecta: transacciones legítimas que parecen idénticas a las fraudulentas , lo que obliga a las empresas a reducir sus estándares de seguridad para evitar falsos positivos.

Cuando llegue ese día, estaré aquí diciéndote que te lo dije. La única pregunta es si estarás listo para aprovecharlo.

d0ctrina fuera.

Hs

 

[slaveoflife]

View attachment 8447 Proof of Concept: Carding With AI Agents

If youve been reading most of my guides youd know by now that I like to be at the bleeding edge of technology. I always try to discover new ways to bypass new shit or break even newer shit up. Having this approach to technology is the only way to keep up with advances in payment and site security.

View attachment 8451​

And whats more bleeding edge than AI agents? Today we'll dive into what AI agents are their possible relationship with carding and how we might exploit them for more profit.

AI Agents ​

AI agents are autonomous software systems that can operate independently to perform tasks online. Unlike traditional bots that follow fixed scripts, these fuckers can actually think make decisions and navigate websites just like a human would.

View attachment 8452​

Picture this: an AI agent is basically a digital ghost that possesses a web browser. It can click buttons fill forms, navigate menus and complete transactions without human intervention. Platforms like OpenAIs ChatGPT Operator Chinas Manus AI and Replits agent framework are leading this charge.

View attachment 8453​

What makes these agents interesting for our purposes is that they don't just follow predefined paths—they adapt, troubleshoot and execute complex tasks like a human would. Want to book a flight? Find a hotel? Buy some shit online? These agents can handle it all.

The technical shit works like this: The system takes screenshots of the browser feeds them to an AI vision model that identifies whats on screen then the AI decides what action to take next. "See that Add to Cart button? Click there." The browser executes the command, takes another screenshot and the cycle repeats. All this happens in milliseconds creating a feedback loop that mimics human browsing behavior.

View attachment 8448
​

The promise? In the future you could potentially feed your agent a list of cards and have it card a bunch of sites while you kick back with a beer. That's not fantasy—thats where this tech is headed.

Architecture and Antifraud ​

What really keeps payment companies awake at night isnt just the idea that carders can get an AI slave to do transactions. Hell, you could pay some random dude on Fiverr to do that. No whats making them shit bricks is that the infrastructure of these AI platforms fundamentally undermines all the tools their antifraud systems use to block transactions.

Let's break down a typical AI agent platform like ChatGPT Operator:

See these platforms run on cloud-based Linux servers with automated Chrome browsers. Every agent session launches from the same data center IPs owned by companies like OpenAI or Manus. When you use Operator your request isnt coming from your home IP—its coming from OpenAIs servers in some AWS data center in Virginia.

View attachment 8456​

These browsers are identical across sessions. Same version of Chrome, same OS same configurations same fucking everything. Where your personal browser has unique fingerprints—installed extensions fonts, screen resolution etc.—these cloud browsers are like mass-produced clones. They're either running headless (invisible) or in a virtual display to fake being a real browser.

Anti-fraud systems typically flag suspicious activity based on:

• IP reputation (data center IPs are suspicious)
• Device fingerprinting (identical fingerprints across multiple users scream fraud)
• Behavioral patterns (humans dont fill forms in 0.5 seconds)

View attachment 8457​

But when legitimate AI agents create this exact pattern at scale fraud systems face a dilemma: block the AI traffic and lose legitimate business or allow it through and potentially open the floodgates to fraud.

[THANKS}
* Hidden text: cannot be quoted. *

[/THANKS]

Its like a prison where all the inmates and guards suddenly wear identical uniforms. How the fuck do you tell whos who?

The Upcoming Golden Age of Agentic Carding ​

"But d0c, if that's true then I can just grab a plan of an AI agent and hit Booking and all other hard-to-hit sites?" Not so fast homie. Theres still a huge factor making this impossible right now: there simply arent enough people using AI agents yet.

Currently this tech is janky and costly, and only tech enthusiasts give a shit about it. Unless OpenAI forces them to companies have no incentive to whitelist and approve transactions made using AI agents. Ive tried it myself multiple times and most transactions still get rejected.

View attachment 8458​

The golden age we're anticipating is the sweet spot where:

• Enough normal people are using AI agents that companies are forced to accept their transactions
• Antifraud systems havent yet caught up with ways to fingerprint and distinguish between legitimate and fraudulent agent use

This window of opportunity is coming—maybe within a year. When companies start losing millions by declining legitimate AI agent transactions theyll have to adapt. Theyll start whitelisting known agent IPs and browser fingerprints creating a massive vulnerability we can exploit.

View attachment 8455

Think of it like this: If banks suddenly decided that everyone wearing a blue shirt must be trustworthy, what would criminals do? They'd all start wearing fucking blue shirts.

The true vulnerability isnt just that agents can automate carding—its that legitimate agent traffic creates cover for fraudulent agent traffic because they look identical to antifraud systems.

Where The Rubber Meets The Road ​

Im not a fortune teller so I don't know exactly how this will play out. Maybe there are already sites that have struck deals with OpenAI to pre-approve agent transactions—thats for you to discover through testing.

What I do know is that as these agents become more mainstream fraud prevention will need to shift from "human vs. bot" detection to "good intent vs. bad intent" detection. Theyll need to look beyond the technical fingerprints to patterns in behavior and context.

For now agent platforms are still too new and untrusted to be reliable carding tools. But watch this space closely—when mainstream adoption forces companies to accept agent-initiated transactions, there will be a window of opportunity before security catches up.

The uniformity of agent infrastructure creates the perfect storm: legitimate transactions that look identical to fraudulent ones forcing companies to lower their security standards to avoid false positives.

When that day comes, I'll be here saying I told you so. The only question is whether you'll be ready to capitalize on it.

d0ctrine out.

 

[MoneyWho]

View attachment 8447 Proof of Concept: Carding With AI Agents

If youve been reading most of my guides youd know by now that I like to be at the bleeding edge of technology. I always try to discover new ways to bypass new shit or break even newer shit up. Having this approach to technology is the only way to keep up with advances in payment and site security.

View attachment 8451​

And whats more bleeding edge than AI agents? Today we'll dive into what AI agents are their possible relationship with carding and how we might exploit them for more profit.

AI Agents ​

AI agents are autonomous software systems that can operate independently to perform tasks online. Unlike traditional bots that follow fixed scripts, these fuckers can actually think make decisions and navigate websites just like a human would.

View attachment 8452​

Picture this: an AI agent is basically a digital ghost that possesses a web browser. It can click buttons fill forms, navigate menus and complete transactions without human intervention. Platforms like OpenAIs ChatGPT Operator Chinas Manus AI and Replits agent framework are leading this charge.

View attachment 8453​

What makes these agents interesting for our purposes is that they don't just follow predefined paths—they adapt, troubleshoot and execute complex tasks like a human would. Want to book a flight? Find a hotel? Buy some shit online? These agents can handle it all.

The technical shit works like this: The system takes screenshots of the browser feeds them to an AI vision model that identifies whats on screen then the AI decides what action to take next. "See that Add to Cart button? Click there." The browser executes the command, takes another screenshot and the cycle repeats. All this happens in milliseconds creating a feedback loop that mimics human browsing behavior.

View attachment 8448
​

The promise? In the future you could potentially feed your agent a list of cards and have it card a bunch of sites while you kick back with a beer. That's not fantasy—thats where this tech is headed.

Architecture and Antifraud ​

What really keeps payment companies awake at night isnt just the idea that carders can get an AI slave to do transactions. Hell, you could pay some random dude on Fiverr to do that. No whats making them shit bricks is that the infrastructure of these AI platforms fundamentally undermines all the tools their antifraud systems use to block transactions.

Let's break down a typical AI agent platform like ChatGPT Operator:

See these platforms run on cloud-based Linux servers with automated Chrome browsers. Every agent session launches from the same data center IPs owned by companies like OpenAI or Manus. When you use Operator your request isnt coming from your home IP—its coming from OpenAIs servers in some AWS data center in Virginia.

View attachment 8456​

These browsers are identical across sessions. Same version of Chrome, same OS same configurations same fucking everything. Where your personal browser has unique fingerprints—installed extensions fonts, screen resolution etc.—these cloud browsers are like mass-produced clones. They're either running headless (invisible) or in a virtual display to fake being a real browser.

Anti-fraud systems typically flag suspicious activity based on:

• IP reputation (data center IPs are suspicious)
• Device fingerprinting (identical fingerprints across multiple users scream fraud)
• Behavioral patterns (humans dont fill forms in 0.5 seconds)

View attachment 8457​

But when legitimate AI agents create this exact pattern at scale fraud systems face a dilemma: block the AI traffic and lose legitimate business or allow it through and potentially open the floodgates to fraud.

[THANKS}
* Hidden text: cannot be quoted. *

[/THANKS]

Its like a prison where all the inmates and guards suddenly wear identical uniforms. How the fuck do you tell whos who?

The Upcoming Golden Age of Agentic Carding ​

"But d0c, if that's true then I can just grab a plan of an AI agent and hit Booking and all other hard-to-hit sites?" Not so fast homie. Theres still a huge factor making this impossible right now: there simply arent enough people using AI agents yet.

Currently this tech is janky and costly, and only tech enthusiasts give a shit about it. Unless OpenAI forces them to companies have no incentive to whitelist and approve transactions made using AI agents. Ive tried it myself multiple times and most transactions still get rejected.

View attachment 8458​

The golden age we're anticipating is the sweet spot where:

• Enough normal people are using AI agents that companies are forced to accept their transactions
• Antifraud systems havent yet caught up with ways to fingerprint and distinguish between legitimate and fraudulent agent use

This window of opportunity is coming—maybe within a year. When companies start losing millions by declining legitimate AI agent transactions theyll have to adapt. Theyll start whitelisting known agent IPs and browser fingerprints creating a massive vulnerability we can exploit.

View attachment 8455

Think of it like this: If banks suddenly decided that everyone wearing a blue shirt must be trustworthy, what would criminals do? They'd all start wearing fucking blue shirts.

The true vulnerability isnt just that agents can automate carding—its that legitimate agent traffic creates cover for fraudulent agent traffic because they look identical to antifraud systems.

Where The Rubber Meets The Road ​

Im not a fortune teller so I don't know exactly how this will play out. Maybe there are already sites that have struck deals with OpenAI to pre-approve agent transactions—thats for you to discover through testing.

What I do know is that as these agents become more mainstream fraud prevention will need to shift from "human vs. bot" detection to "good intent vs. bad intent" detection. Theyll need to look beyond the technical fingerprints to patterns in behavior and context.

For now agent platforms are still too new and untrusted to be reliable carding tools. But watch this space closely—when mainstream adoption forces companies to accept agent-initiated transactions, there will be a window of opportunity before security catches up.

The uniformity of agent infrastructure creates the perfect storm: legitimate transactions that look identical to fraudulent ones forcing companies to lower their security standards to avoid false positives.

When that day comes, I'll be here saying I told you so. The only question is whether you'll be ready to capitalize on it.

d0ctrine out.