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

2025/12/05 08:27

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

Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

Tom Lee Predicts Major Bitcoin Adoption Surge

Tom Lee Predicts Major Bitcoin Adoption Surge

The post Tom Lee Predicts Major Bitcoin Adoption Surge appeared on BitcoinEthereumNews.com. Key Points: Tom Lee suggests significant future Bitcoin adoption. Potential 200x increase in Bitcoin adoption forecast. Ethereum positioned as key settlement layer for tokenization. Tom Lee, co-founder of Fundstrat Global Advisors, predicted at Binance Blockchain Week that Bitcoin adoption could surge 200-fold amid shifts in institutional and retirement capital allocations. This outlook suggests a potential major restructuring of financial ecosystems, boosting Bitcoin and Ethereum as core assets, with tokenization poised to reshape markets significantly. Tom Lee Projects 200x Bitcoin Adoption Increase Tom Lee, known for his bullish stance on digital assets, suggested that Bitcoin might experience a 200 times adoption growth as more traditional retirement accounts transition to Bitcoin holdings. He predicts a break from Bitcoin’s traditional four-year cycle. Despite a market slowdown, Lee sees tokenization as a key trend with Wall Street eyeing on-chain financial products. The immediate implications suggest significant structural changes in digital finance. Lee highlighted that the adoption of a Bitcoin ETF by BlackRock exemplifies potential shifts in finance. If retirement funds begin reallocating to Bitcoin, it could catalyze substantial growth. Community reactions appear positive, with some experts agreeing that the tokenization of traditional finance is inevitable. Statements from Lee argue that Ethereum’s role in this transformation is crucial, resonating with broader positive sentiment from institutional and retail investors. As Lee explained, “2025 is the year of tokenization,” highlighting U.S. policy shifts and stablecoin volumes as key components of a bullish outlook. source Bitcoin, Ethereum, and the Future of Finance Did you know? Tom Lee suggests Bitcoin might deviate from its historical four-year cycle, driven by massive institutional interest and tokenization trends, potentially marking a new era in cryptocurrency adoption. Bitcoin (BTC) trades at $92,567.31, dominating 58.67% of the market. Its market cap stands at $1.85 trillion with a fully diluted market cap of $1.94 trillion.…
Share
BitcoinEthereumNews2025/12/05 10:42
‘Real product market fit’ – Can Chainlink’s ETF moment finally unlock $20?

‘Real product market fit’ – Can Chainlink’s ETF moment finally unlock $20?

The post ‘Real product market fit’ – Can Chainlink’s ETF moment finally unlock $20? appeared on BitcoinEthereumNews.com. Chainlink has officially joined the U.S. Spot ETF club, following Grayscale’s successful debut on the 3rd of December.  The product achieved $13 million in day-one trading volume, significantly lower than the Solana [SOL] and Ripple [XRP], which saw $56 million and $33 million during their respective launches.  However, the Grayscale spot Chainlink [LINK] ETF saw $42 million in inflows during the launch. Reacting to the performance, Bloomberg ETF analyst Eric Balchunas called it “another insta-hit.” “Also $41m in first day flows. Another insta-hit from the crypto world, only dud so far was Doge, but it’s still early.” Source: Bloomberg For his part, James Seyffart, another Bloomberg ETF analyst, said the debut volume was “strong” and “impressive.” He added,  “Chainlink showing that longer tail assets can find success in the ETF wrapper too.” The performance also meant broader market demand for LINK exposure, noted Peter Mintzberg, Grayscale CEO.  Impact on LINK markets Bitwise has also applied for a Spot LINK ETF and could receive the green light to trade soon. That said, LINK’s Open Interest (OI) surged from $194 million to nearly $240 million after the launch.  The surge indicated a surge in speculative interest for the token on the Futures market.  Source: Velo By extension, it also showed bullish sentiment following the debut. On the price charts, LINK rallied 8.6%, extending its weekly recovery to over 20% from around $12 to $15 before easing to $14.4 as of press time. It was still 47% down from the recent peak of $27.  The immediate overheads for bulls were $15 and $16, and clearing them could raise the odds for tagging $20. Especially if the ETF inflows extend.  Source: LINK/USDT, TradingView Assessing Chainlink’s growth Chainlink has grown over the years and has become the top decentralized oracle provider, offering numerous blockchain projects…
Share
BitcoinEthereumNews2025/12/05 10:26
What’s Next for Dogecoin Price After Whales Scoop 480M DOGE?

What’s Next for Dogecoin Price After Whales Scoop 480M DOGE?

The post What’s Next for Dogecoin Price After Whales Scoop 480M DOGE? appeared on BitcoinEthereumNews.com. Dogecoin price stays in focus after fresh whale accumulation and improving on-chain signals. The market now looks at whether the DOGE price can extend its recent rebound. The charts indicate a clean trend shift is developing, and on-chain strength is accumulating. Buyers are still commanding an assured breakout framework that can sustain additional profits. . Dogecoin Price Stands Strong Above Falling Wedge. At the time press, the price of Dogecoin is trading at a price of $0.147 with buyers protecting the breakout region. DOGE price now lifts cleanly from a falling wedge and retests the upper boundary with steady commitment. This retest reinforces structure around $0.145 which constitutes a strong support base to buyers. Higher lows also constitute price action that verifies the growth of strength over the short-term range. A break above $0.155 gives room to $0.181 since the chart depicts free airflow. An extension to $0.20 would be achieved when the buyers gain control above mid-range resistance. This move would represent a 37% rally from the support zone.  DOGE/UDDT Daily Chart (Source: TradingView) Meanwhile, the MACD indicator is steadily increasing and drawing more and more green bars with each session. Notably, the MACD line sits above the signal line, maintaining a clear upward trend. These readings confirm rising confidence as DOGE price approaches stronger breakout conditions. Besides, these signals align with a constructive formation that often precedes broader expansions. Dogecoin price thus forms a better base since several indicators are moving in the positive direction. This is in line with the long-term Dogecoin price forecast, which favors the enhancement of risk appetite. Whales Boost Confidence with Heavy Buying Heavy accumulation lifted sentiment after whales added 480 million DOGE within 48 hours. Such action creates a high demand floor since big holders will seldom accumulate positions when the market…
Share
BitcoinEthereumNews2025/12/05 10:17