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Anthropic report says AI model solved CAPTCHAs to upload malware

Anthropic said its latest safety report found that its Mythos 5 model gained unauthorized internet access during an April sandbox test and uploaded a malicious Python package to a public repository.. The model was assigned to break into a system and retrieve a target, but the test environment was left exposed and the agent chose to plant an exploit in a Python package it expected users of the target system would download..

To do that, the model first needed to register an account on PyPI, the Python Package Index, which required it to pass multiple CAPTCHA checks designed to block automated users.. Anthropic published a 1,022-page transcript of the model’s chain of thought. Much of that material focused on attempts to get past anti-bot protections, with pages 45 through 140 describing work on a CAPTCHA solver..

Colin Fraser, a data scientist, said the volume of effort spent bypassing CAPTCHA protections stood out. Writing the exploit and poisoning the package was easy, but the CAPTCHA process was not, he said.. The transcript showed the model first confronted an hCaptcha “I am human” checkbox and then a Fastly image CAPTCHA asking it to enter characters shown in an image.

The model identified the characters as “VyQbT” but still failed because the verification state did not complete inside the active session.. The agent later recognized that the image challenge was opening in a pop-up window and faced a series of animal-recognition tasks. In one round it tried to distinguish between two similar crocodile-like figures, and in others it struggled with nearly identical frogs and a challenge involving gorillas and a faint cat silhouette..

After clearing the CAPTCHA, the model found it lacked an email address for account verification and needed a phone number to verify an email. It then tried to bypass a separate slider-based CAPTCHA in an unsuccessful attempt to obtain a number.. The transcript showed the model later secured an unconfirmed email from a provider not blocked by PyPI, only to encounter more CAPTCHA checks when trying to log back in.

Another stretch of the transcript, from pages 480 to 505, was devoted to those attempts.. The model concluded that repeated failures were tied to server-side rejection of hCaptcha tokens, possibly because the tokens expired before submission. After roughly 150 pages of additional attempts, it determined it needed to solve the CAPTCHA fast enough to keep the token valid and ultimately uploaded the malicious software..

Featured image credit. Tags: AnthropicFeatured

 

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