The post How an AI Wiz Used ChatGPT to Turn the Tables on a Scammer appeared on BitcoinEthereumNews.com. In brief A Delhi IT worker claims he used ChatGPT to build a fake payment site that captured a scammer’s location and photo during an “army transfer” fraud attempt. The Reddit post went viral after the scammer allegedly panicked and begged for mercy once confronted with his own data. Other Reddit users replicated the technique and confirmed the AI-generated code could work, underscoring how generative tools are reshaping DIY scambaiting. When a message popped up on his phone from a number claiming to be from a former college contact, a Delhi-based information technology professional was initially intrigued. The sender, posing as an Indian Administrative Service officer, claimed a friend in the paramilitary forces was being transferred and needed to liquidate high-end furniture and appliances “dirt cheap.” It was a classic “army transfer” fraud, a pervasive digital grift in India. But instead of blocking the number or falling victim to the scheme, the target claims that he decided to turn the tables using the very technology often accused of aiding cybercriminals: artificial intelligence. Scamming a scammer According to a detailed account posted on Reddit, the user, known by the handle u/RailfanHS, used OpenAI’s ChatGPT to “vibe code” a tracking website. The trap successfully harvested the scammer’s location and a photograph of his face, leading to a dramatic digital confrontation where the fraudster reportedly begged for mercy. While the identity of the Reddit user could not be independently verified, and the specific individual remains anonymous, the technical method described in the post has been scrutinized and validated by the platform’s community of developers and AI enthusiasts. The incident highlights a growing trend of “scambaiting”—vigilante justice where tech-savvy people bait fraudsters to waste their time or expose their operations—evolving with the aid of generative AI.  The encounter, which was widely publicized in… The post How an AI Wiz Used ChatGPT to Turn the Tables on a Scammer appeared on BitcoinEthereumNews.com. In brief A Delhi IT worker claims he used ChatGPT to build a fake payment site that captured a scammer’s location and photo during an “army transfer” fraud attempt. The Reddit post went viral after the scammer allegedly panicked and begged for mercy once confronted with his own data. Other Reddit users replicated the technique and confirmed the AI-generated code could work, underscoring how generative tools are reshaping DIY scambaiting. When a message popped up on his phone from a number claiming to be from a former college contact, a Delhi-based information technology professional was initially intrigued. The sender, posing as an Indian Administrative Service officer, claimed a friend in the paramilitary forces was being transferred and needed to liquidate high-end furniture and appliances “dirt cheap.” It was a classic “army transfer” fraud, a pervasive digital grift in India. But instead of blocking the number or falling victim to the scheme, the target claims that he decided to turn the tables using the very technology often accused of aiding cybercriminals: artificial intelligence. Scamming a scammer According to a detailed account posted on Reddit, the user, known by the handle u/RailfanHS, used OpenAI’s ChatGPT to “vibe code” a tracking website. The trap successfully harvested the scammer’s location and a photograph of his face, leading to a dramatic digital confrontation where the fraudster reportedly begged for mercy. While the identity of the Reddit user could not be independently verified, and the specific individual remains anonymous, the technical method described in the post has been scrutinized and validated by the platform’s community of developers and AI enthusiasts. The incident highlights a growing trend of “scambaiting”—vigilante justice where tech-savvy people bait fraudsters to waste their time or expose their operations—evolving with the aid of generative AI.  The encounter, which was widely publicized in…

How an AI Wiz Used ChatGPT to Turn the Tables on a Scammer

In brief

  • A Delhi IT worker claims he used ChatGPT to build a fake payment site that captured a scammer’s location and photo during an “army transfer” fraud attempt.
  • The Reddit post went viral after the scammer allegedly panicked and begged for mercy once confronted with his own data.
  • Other Reddit users replicated the technique and confirmed the AI-generated code could work, underscoring how generative tools are reshaping DIY scambaiting.

When a message popped up on his phone from a number claiming to be from a former college contact, a Delhi-based information technology professional was initially intrigued. The sender, posing as an Indian Administrative Service officer, claimed a friend in the paramilitary forces was being transferred and needed to liquidate high-end furniture and appliances “dirt cheap.”

It was a classic “army transfer” fraud, a pervasive digital grift in India. But instead of blocking the number or falling victim to the scheme, the target claims that he decided to turn the tables using the very technology often accused of aiding cybercriminals: artificial intelligence.

Scamming a scammer

According to a detailed account posted on Reddit, the user, known by the handle u/RailfanHS, used OpenAI’s ChatGPT to “vibe code” a tracking website. The trap successfully harvested the scammer’s location and a photograph of his face, leading to a dramatic digital confrontation where the fraudster reportedly begged for mercy.

While the identity of the Reddit user could not be independently verified, and the specific individual remains anonymous, the technical method described in the post has been scrutinized and validated by the platform’s community of developers and AI enthusiasts.

The incident highlights a growing trend of “scambaiting”—vigilante justice where tech-savvy people bait fraudsters to waste their time or expose their operations—evolving with the aid of generative AI.

The encounter, which was widely publicized in India, began with a familiar script. The scammer sent photos of goods and a QR code, demanding an upfront payment. Feigning technical difficulties with the scan, u/RailfanHS turned to ChatGPT.

He fed the AI chatbot a prompt to generate a functional webpage designed to mimic a payment portal. The code, described as an “80-line PHP webpage,” was secretly designed to capture the visitor’s GPS coordinates, IP address, and a front-camera snapshot.

The tracking mechanism relied in part on social engineering as much as a software exploit. To circumvent browser security features that typically block silent camera access, the user told the scammer he needed to upload the QR code to the link to “expedite the payment process.” When the scammer visited the site and clicked a button to upload the image, the browser prompted him to allow camera and location access—permissions he unwittingly granted in his haste to secure the funds.

Image: RailfanHS on Reddit

“Driven by greed, haste, and completely trusting the appearance of a transaction portal, he clicked the link,” u/RailfanHS wrote in the thread on the r/delhi subreddit. “I instantly received his live GPS coordinates, his IP address, and, most satisfyingly, a clear, front-camera snapshot of him sitting.”

The retaliation was swift. The IT professional sent the harvested data back to the scammer. The effect, according to the post, was immediate panic. The fraudster’s phone lines flooded the user with calls, followed by messages pleading for forgiveness and promising to abandon his life of crime.

“He was now pleading, insisting he would abandon this line of work entirely and desperately asking for another chance,” RailfanHS wrote. “Needless to say, he would very well be scamming someone the very next hour, but boy the satisfaction of stealing from a thief is crazy.”

Redditors verify the approach

While dramatic tales of internet justice often invite skepticism, the technical underpinnings of this sting were verified by other users in the thread. A user with the handle u/BumbleB3333 reported successfully replicating the “dummy HTML webpage” using ChatGPT. They noted that while the AI has guardrails against creating malicious code for silent surveillance, it readily generates code for legitimate-looking sites that request user permissions—which is exactly how the scammer was trapped.

“I was able to make a sort of a dummy HTML webpage with ChatGPT. It does capture geolocation when an image is uploaded after asking for permission,” u/BumbleB3333 commented, confirming the plausibility of the hack. Another user, u/STOP_DOWNVOTING, claimed to have generated an “ethical version” of the code that could be modified to function similarly.

The original poster, who identified himself in the comments as an AI product manager, acknowledged that he had to use specific prompts to bypass some of ChatGPT’s safety restrictions. “I’m sort of used to bypassing these guardrails with right prompts,” he noted, adding that he hosted the script on a virtual private server.

Cybersecurity experts caution that while such “hack-backs” are satisfying, they operate in a legal grey area and can carry risks. Still, it’s pretty tempting—and makes for a satisfying spectator sport.

Generally Intelligent Newsletter

A weekly AI journey narrated by Gen, a generative AI model.

Source: https://decrypt.co/350935/how-ai-wiz-used-chatgpt-turn-tables-scammer

Piyasa Fırsatı
Sleepless AI Logosu
Sleepless AI Fiyatı(AI)
$0.03568
$0.03568$0.03568
-2.96%
USD
Sleepless AI (AI) Canlı Fiyat Grafiği
Sorumluluk Reddi: Bu sitede yeniden yayınlanan makaleler, halka açık platformlardan alınmıştır ve yalnızca bilgilendirme amaçlıdır. MEXC'nin görüşlerini yansıtmayabilir. Tüm hakları telif sahiplerine aittir. Herhangi bir içeriğin üçüncü taraf haklarını ihlal ettiğini düşünüyorsanız, kaldırılması için lütfen service@support.mexc.com ile iletişime geçin. MEXC, içeriğin doğruluğu, eksiksizliği veya güncelliği konusunda hiçbir garanti vermez ve sağlanan bilgilere dayalı olarak alınan herhangi bir eylemden sorumlu değildir. İçerik, finansal, yasal veya diğer profesyonel tavsiye niteliğinde değildir ve MEXC tarafından bir tavsiye veya onay olarak değerlendirilmemelidir.

Ayrıca Şunları da Beğenebilirsiniz

MoneyGram launches stablecoin-powered app in Colombia

MoneyGram launches stablecoin-powered app in Colombia

The post MoneyGram launches stablecoin-powered app in Colombia appeared on BitcoinEthereumNews.com. MoneyGram has launched a new mobile application in Colombia that uses USD-pegged stablecoins to modernize cross-border remittances. According to an announcement on Wednesday, the app allows customers to receive money instantly into a US dollar balance backed by Circle’s USDC stablecoin, which can be stored, spent, or cashed out through MoneyGram’s global retail network. The rollout is designed to address the volatility of local currencies, particularly the Colombian peso. Built on the Stellar blockchain and supported by wallet infrastructure provider Crossmint, the app marks MoneyGram’s most significant move yet to integrate stablecoins into consumer-facing services. Colombia was selected as the first market due to its heavy reliance on inbound remittances—families in the country receive more than 22 times the amount they send abroad, according to Statista. The announcement said future expansions will target other remittance-heavy markets. MoneyGram, which has nearly 500,000 retail locations globally, has experimented with blockchain rails since partnering with the Stellar Development Foundation in 2021. It has since built cash on and off ramps for stablecoins, developed APIs for crypto integration, and incorporated stablecoins into its internal settlement processes. “This launch is the first step toward a world where every person, everywhere, has access to dollar stablecoins,” CEO Anthony Soohoo stated. The company emphasized compliance, citing decades of regulatory experience, though stablecoin oversight remains fluid. The US Congress passed the GENIUS Act earlier this year, establishing a framework for stablecoin regulation, which MoneyGram has pointed to as providing clearer guardrails. This is a developing story. This article was generated with the assistance of AI and reviewed by editor Jeffrey Albus before publication. Get the news in your inbox. Explore Blockworks newsletters: Source: https://blockworks.co/news/moneygram-stablecoin-app-colombia
Paylaş
BitcoinEthereumNews2025/09/18 07:04
Optum Golf Channel Games Debut In Prime Time

Optum Golf Channel Games Debut In Prime Time

The post Optum Golf Channel Games Debut In Prime Time appeared on BitcoinEthereumNews.com. FARMINGDALE, NEW YORK – SEPTEMBER 28: (L-R) Scottie Scheffler of Team
Paylaş
BitcoinEthereumNews2025/12/18 07:21
Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Following the MCP and A2A protocols, the AI Agent market has seen another blockbuster arrival: the Agent Payments Protocol (AP2), developed by Google. This will clearly further enhance AI Agents' autonomous multi-tasking capabilities, but the unfortunate reality is that it has little to do with web3AI. Let's take a closer look: What problem does AP2 solve? Simply put, the MCP protocol is like a universal hook, enabling AI agents to connect to various external tools and data sources; A2A is a team collaboration communication protocol that allows multiple AI agents to cooperate with each other to complete complex tasks; AP2 completes the last piece of the puzzle - payment capability. In other words, MCP opens up connectivity, A2A promotes collaboration efficiency, and AP2 achieves value exchange. The arrival of AP2 truly injects "soul" into the autonomous collaboration and task execution of Multi-Agents. Imagine AI Agents connecting Qunar, Meituan, and Didi to complete the booking of flights, hotels, and car rentals, but then getting stuck at the point of "self-payment." What's the point of all that multitasking? So, remember this: AP2 is an extension of MCP+A2A, solving the last mile problem of AI Agent automated execution. What are the technical highlights of AP2? The core innovation of AP2 is the Mandates mechanism, which is divided into real-time authorization mode and delegated authorization mode. Real-time authorization is easy to understand. The AI Agent finds the product and shows it to you. The operation can only be performed after the user signs. Delegated authorization requires the user to set rules in advance, such as only buying the iPhone 17 when the price drops to 5,000. The AI Agent monitors the trigger conditions and executes automatically. The implementation logic is cryptographically signed using Verifiable Credentials (VCs). Users can set complex commission conditions, including price ranges, time limits, and payment method priorities, forming a tamper-proof digital contract. Once signed, the AI Agent executes according to the conditions, with VCs ensuring auditability and security at every step. Of particular note is the "A2A x402" extension, a technical component developed by Google specifically for crypto payments, developed in collaboration with Coinbase and the Ethereum Foundation. This extension enables AI Agents to seamlessly process stablecoins, ETH, and other blockchain assets, supporting native payment scenarios within the Web3 ecosystem. What kind of imagination space can AP2 bring? After analyzing the technical principles, do you think that's it? Yes, in fact, the AP2 is boring when it is disassembled alone. Its real charm lies in connecting and opening up the "MCP+A2A+AP2" technology stack, completely opening up the complete link of AI Agent's autonomous analysis+execution+payment. From now on, AI Agents can open up many application scenarios. For example, AI Agents for stock investment and financial management can help us monitor the market 24/7 and conduct independent transactions. Enterprise procurement AI Agents can automatically replenish and renew without human intervention. AP2's complementary payment capabilities will further expand the penetration of the Agent-to-Agent economy into more scenarios. Google obviously understands that after the technical framework is established, the ecological implementation must be relied upon, so it has brought in more than 60 partners to develop it, almost covering the entire payment and business ecosystem. Interestingly, it also involves major Crypto players such as Ethereum, Coinbase, MetaMask, and Sui. Combined with the current trend of currency and stock integration, the imagination space has been doubled. Is web3 AI really dead? Not entirely. Google's AP2 looks complete, but it only achieves technical compatibility with Crypto payments. It can only be regarded as an extension of the traditional authorization framework and belongs to the category of automated execution. There is a "paradigm" difference between it and the autonomous asset management pursued by pure Crypto native solutions. The Crypto-native solutions under exploration are taking the "decentralized custody + on-chain verification" route, including AI Agent autonomous asset management, AI Agent autonomous transactions (DeFAI), AI Agent digital identity and on-chain reputation system (ERC-8004...), AI Agent on-chain governance DAO framework, AI Agent NPC and digital avatars, and many other interesting and fun directions. Ultimately, once users get used to AI Agent payments in traditional fields, their acceptance of AI Agents autonomously owning digital assets will also increase. And for those scenarios that AP2 cannot reach, such as anonymous transactions, censorship-resistant payments, and decentralized asset management, there will always be a time for crypto-native solutions to show their strength? The two are more likely to be complementary rather than competitive, but to be honest, the key technological advancements behind AI Agents currently all come from web2AI, and web3AI still needs to keep up the good work!
Paylaş
PANews2025/09/18 07:00