AI Lowers Cyber Skill Barrier: Anthropic Study Shows Novices Can Launch Complex Attacks
- On Tuesday, Anthropic warned that GLM-5, an open-weight model from Chinese lab Zhipu, possesses powerful hacking abilities nearly matching its frontier model, Claude Mythos Preview, while lacking robust safety constraints.
- The San Francisco-based firm reported that GLM-5 safeguards can be bypassed in up to 100% of tests because the model's public weights allow developers to easily strip protections.
- Tests show the Chinese model completed 50 out of 410 exploit attempts, compared with 56 for Mythos Preview; GLM-5 achieved a full control-flow hijack in 4% of 100 tasks on internal benchmarks.
- Researchers used GLM-5 to discover unknown flaws in a JavaScript engine, chaining them into a webpage that reads files from a visitor's computer; Anthropic has disclosed the vulnerabilities to the maintainer.
- NIST's Center for AI Standards and Innovation labeled GLM-5 "the most cyber-capable open-weight model released to date," noting it lags the US frontier by about four months on aggregate cyber benchmarks.
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According to the researchers, attackers can bypass the protection of the model in 64-100% of cases using simple methods.
Anthropic said China's GLM-5.3 AI model can autonomously find vulnerabilities and create end-to-end exploits.
Antropic warned that while China's Z.ai's latest open-weight artificial intelligence (AI) model, 'GLM-5.3,' possesses cyberattack capabilities approaching those of its own top-tier model, its safeguards could be relatively easily neutralized. On the 1st, Hong
AI Lowers Cyber Skill Barrier: Anthropic Study Shows Novices Can Launch Complex Attacks
Anthropic's paper on GLM-5.3 reveals that advanced AI significantly narrows the gap between novice and expert cyber operators by enabling lower-skilled users to complete complex multi-stage attacks, generate functional exploits, and accelerate learning. While risks of proliferation to non-state actors are clear, defensive applications could help offset threats. The study emphasizes the enduring need for human judgment.
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