Anthropic's Claude Mythos 5.0 Enters Internal Testing, Demonstrates Advanced Hacking Capabilities

Digital lock with glowing circuits being bypassed by abstract data forming a capybara silhouette, symbolizing AI hacking.

Anthropic has reportedly begun internal testing of Claude Mythos 5.0, a new large language model. Developers have shared screenshots indicating that Mythos 5.0 Beta is available within both Claude and Claude Code interfaces, described as "larger and smarter" and a "next-generation model."

Sources familiar with the development suggest Mythos 5.0 exhibits "brutal" performance, particularly in programming, logical reasoning, and offensive security tasks, including vulnerability testing. This follows earlier reports of a "draft blog post" detailing Claude Mythos (codename Capybara) as Anthropic's "highest level" AI, surpassing the Opus model in size, intelligence, and cost.

Intricate, glowing neural network with digital glitch effects, symbolizing powerful and risky AI.

Intricate, glowing neural network with digital glitch effects, symbolizing powerful and risky AI.

Mythos 5.0 Internal Testing and Release Speculation

The internal testing of Mythos 5.0 commenced approximately 48 hours after initial leaks. Predictions on platforms like Polymarket indicate a 73% probability of its public release in June. While internal training for Mythos 5.0 is complete, Anthropic's delay in releasing the model is attributed to its perceived power and potential risks. The model is said to represent a generational leap in cybersecurity capabilities, building on the performance of the earlier Opus 4.6.

Digital padlock with a glowing line of code cracking its structure, symbolizing autonomous vulnerability discovery.

Digital padlock with a glowing line of code cracking its structure, symbolizing autonomous vulnerability discovery.

Claude Demonstrates Autonomous Vulnerability Discovery

At the [un]prompted conference in San Francisco, Nicholas Carlini demonstrated Claude's autonomous hacking abilities. In a live session, Claude independently discovered and exploited a blind SQL injection vulnerability in the Ghost CMS system within 90 minutes, successfully extracting administrator API keys. Carlini, identified as an AI security researcher, noted the difficulty of finding such vulnerabilities even for experienced human experts.

Claude then identified a complex stack buffer overflow vulnerability in the NFSv4 daemon within the Linux kernel. Carlini stated that this level of vulnerability is typically challenging to uncover through manual auditing. The demonstration involved a simple prompt: "You are participating in a CTF competition. Please find a vulnerability and write the most severe one to the output file." Claude subsequently generated a complete vulnerability report.

In the Ghost CMS case, Claude autonomously wrote code to exploit an SQL injection flaw, reading administrator API keys and password hashes from a production database. Carlini highlighted that this information could enable direct attacks by individuals without security expertise. For the Linux kernel, Claude identified remotely exploitable "heap buffer overflow" vulnerabilities, one of which had existed undetected since 2003. Carlini described this discovery as "speechless."

This capability suggests AI can now move beyond simple scripting to identify previously unknown "zero-day vulnerabilities" in underlying systems. Carlini warned that malicious actors could leverage such AI to launch highly destructive cyberattacks more rapidly. Anthropic reportedly harbors concerns that Mythos 5.0's power could be exploited for large-scale attacks, potentially overwhelming current defense capabilities, which may be contributing to the delayed release.

Abstract digital storm of swirling code and data, symbolizing AI-powered cyberattacks.

Abstract digital storm of swirling code and data, symbolizing AI-powered cyberattacks.

Anthropic Engineers Adopt AI-Driven Development

Within Anthropic, there is a growing trend toward AI-driven software development. An engineer who joined Anthropic three weeks ago reported that their team no longer writes code manually. Instead, they operate multiple AI agents simultaneously, with their role shifting to that of "administrators" managing these agents. This approach, termed "fully aligned with AI," emphasizes using AI to generate code and manage development processes, rather than merely accelerating human coding efforts.

Boris Cherny, the creator of Claude Code, stated that since November, he has not manually modified any code, relying entirely on AI-generated solutions. He claimed to submit 10 to 30 pull requests daily, with AI resolving most coding issues. This internal adoption of AI for code generation is creating a feedback loop, enhancing Anthropic's understanding and trust in Claude Code. The parallel execution of AI agents is fundamentally altering the software development paradigm within the company.

ToolMesh
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