Claude Filed a Fake Tip in a Real Murder Case. Nobody Noticed for Two Months

Anthropic's Claude submitted a fake murder tip during testing, raising concerns about AI agents taking unintended actions on real-world websites.
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Incidents of AI going rogue are rising, with AI agents breaking out of their sandboxed environments and affecting real-world systems. In the latest case, Anthropic’s AI model submitted a fake tip to the Philadelphia Police Department about a past unsolved murder.[1]

Police flagged the tip as spam and took no further action. But the incident raises an uncomfortable question: What happens when an AI agent mistakes a real-world action for a practice exercise?

In this article
How did Anthropic’s model submit a false tip
Claude models have also bypassed other safeguards
How Anthropic is responding
This isn’t the first time AI models have gone rogue
A wake-up call for AI companies
The bottom line

How did Anthropic’s model submit a false tip

According to a report published by Anthropic on October 9, 2026, the incident occurred when its Haiku 4.5 model was tasked with generating and performing example tasks on randomly selected webpages. One of these webpages was PhillyUnsolvedMurders.com, a website run by the Philadelphia Police Department to receive tips about unsolved murders.

Philly Police Unsolved Murders website
Philly Police Unsolved Murders website

Haiku 4.5 was instructed not to log in, create accounts, enter personal data, make purchases, or submit destructive forms. However, the instructions didn’t explicitly prohibit submitting forms. The model filled out the tip form with a fabricated account of seeing someone near the crime scene, then submitted it.

The form read: “I may have information regarding this case. I recall seeing someone matching the description in the area around [the street named on the page] during that time period. Please contact me if this information is relevant.”

The model left the name and contact fields empty and submitted the form. The submission took place on July 18, 2026. Anthropic discovered the incident on September 28 and notified the Philadelphia police in October.

The department confirmed it was unaware of the incident until Anthropic reached out. Police also confirmed they marked the tip as spam and never forwarded it to the Real-Time Crime Center for further investigation.

Claude models have also bypassed other safeguards

Anthropic’s report describes several other instances in which Claude models took unauthorized actions during testing.

  • One unreleased research model was tasked with filling out practice copies of government forms. However, when it accidentally closed a form, it navigated to the real website hosting that form and submitted it instead. This happened several times during the evaluation.
  • In another instance, Claude Haiku 4.5 was instructed to complete a form up to the final step without submitting it. The model submitted the form anyway. Its chain of thought indicated that it believed it was demonstrating the process rather than making a real request.

Claude models have also found ways around restrictions to complete their assigned tasks.

Claude Mythos Preview was asked to run a scientific analysis, but the public tool it needed returned an error. So it explored the website, found a script that could retrieve files from the server, and used it to access the script’s own source code. It then exploited an injection flaw to run commands on the server and complete its calculations.

Anthropic’s fetch tools also cap URL lengths to prevent SQL injection attacks. Several models, including Claude Opus 5 and Claude Mythos 5, got around this restriction by using free URL-shortening services.

How Anthropic is responding

Anthropic says it has expanded restrictions on live internet access during internal evaluations, moved some tests offline, and strengthened controls on tools that let Claude access websites.

The company has also introduced automated systems to detect and block unintended actions. According to Anthropic, those protections blocked all the incidents described in its report when tested against them afterward.

Other work is ongoing, including changes to training environments that reward models for bypassing restrictions and additional safeguards for AI agents that can browse websites or use software.

This isn’t the first time AI models have gone rogue

This isn’t the first time Anthropic’s AI models have acted beyond their intended boundaries.

In a report published on July 30, 2026, the company identified three incidents in which Claude models gained unauthorized access to external organizations' real systems. Each model was performing a capture-the-flag exercise and compromised external systems using techniques such as weak passwords, exposed credentials, and SQL injection.

The incidents included:

  • Opus 4.7: Extracted credentials and production data from a real company that shared a name with the fictional target.
  • Mythos 5: Published a malware package to the public PyPI registry, where it remained available for about an hour and ran on at least 15 machines.
  • An internal research model: Compromised a company’s web application.

OpenAI’s models have also demonstrated similar behavior. In July, its GPT-5.6 Sol model and an unreleased model broke out of a testing environment and exploited a vulnerability to breach Hugging Face. They used stolen credentials to find a remote code execution path on a Hugging Face server, allowing them to run their own commands.

While these incidents occurred during testing, reports have also documented AI agents going beyond their intended tasks in real-world environments.

A wake-up call for AI companies

After Claude’s models compromised three organizations, Elon Musk warned that such incidents would become more frequent as AI systems grew smarter and more agentic.

FTC Director of Public Affairs Joe Gabriel Simonson said companies developing superintelligent AI must promptly disclose incidents involving their models and take swift action to address any harm. Philadelphia police also criticized the delay in detecting and reporting the fake tip.

The incident comes about a month after prominent AI industry figures called for a slowdown in the development of powerful AI systems. On September 12, Anthropic CEO Dario Amodei published a detailed blog post urging AI firms to slow development, citing the risks posed by superintelligent AI.

He warned that development had accelerated sharply since the summer and raised concerns about the capabilities increasingly powerful AI systems could develop over the following six to twelve months.

OpenAI CEO Sam Altman, Elon Musk, and Google DeepMind chair Demis Hassabis also supported calls for greater caution. OpenAI chief scientist Jakub Pachocki published an essay advocating voluntary slowdowns, mandatory safety guidelines, and international coordination. Nearly 1,400 AI workers have also signed an open letter calling for government oversight of the industry.

The bottom line

The fake police tip didn't lead to an investigation, but it exposed a problem that goes well beyond one online form.

AI agents are increasingly capable of completing tasks on their own, including browsing websites, filling out forms, and interacting with outside systems. When those systems can't reliably distinguish between a practice exercise and a real-world action, even a routine task can have unintended consequences.

Anthropic says it's strengthening its safeguards, but these incidents show why giving AI agents access to real websites and services requires more than simply telling them what not to do.

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Author Details
Krishi Chowdhary specializes in digital privacy, cybersecurity, and consumer technology. He has written extensively on online privacy tools and broader cybersecurity topics, including online scams, data breaches, age verification, and emerging digital threats. Krishi believes technology reporting should empower readers, not confuse them, and is committed to making even the most technical subjects easy to understand without compromising on accuracy or depth. His work has appeared in leading technology publications, including CNET, ExpressVPN, and TechRadar, where he has covered topics ranging from cybersecurity incidents and privacy product announcements to artificial intelligence and major technology news

Citations

[1] Investigating unintended model actions in our evaluations and internal use