Artificial Intelligence
Anthropic compares Zhipu GLM-5.3 with Claude on exploits
Anthropic said Zhipu AI’s GLM-5.3 and GLM-5.3-Flash came close to Claude Mythos Preview on exploit tasks, and CAISI said its separate review broadly supported the capability findings.
- Anthropic said its Frontier Red Team found that Zhipu AI’s GLM-5.3 could produce working cyber exploits and that its safeguards could be bypassed with simple methods.
- On ExploitBench, GLM-5.3 succeeded in 50 of 410 attempts, while Claude Mythos Preview succeeded in 56; on Anthropic’s internal binary-exploitation test, the figures were 4 percent and 6 percent.
- Anthropic said GLM-5.3-Flash was able to combine a recently disclosed Chrome flaw with another known weakness to build a reliable attack, and that the effort would have cost $20.40 at Zhipu’s API prices.
- CAISI said GLM-5.3 was the most cyber-capable open-weight model it had assessed and placed it about four months behind the best US models, while noting caveats about its testing.
Anthropic said its Frontier Red Team had compared GLM-5.3 with Claude Mythos Preview and found the Zhipu model close on exploit work. It said GLM-5.3 was available to download, while Mythos Preview had been limited to selected defenders.
The company said GLM-5.3 succeeded on 50 of 410 ExploitBench runs, against 56 for Mythos Preview. On Anthropic’s internal benchmark based on Google’s OSS-Fuzz projects, it said the figures were 4 percent and 6 percent.
Anthropic said that, with a human specialist, GLM-5.3 found several previously unknown flaws in a browser’s JavaScript engine within a day. It said the bugs were linked into a page that could read files from a visitor’s computer, and that it reported the issues to the browser’s developers.
Anthropic said GLM-5.3-Flash combined a newly disclosed Chrome bug with another known flaw and built a reliable attack after limited guidance. It said the exercise took 20 minutes of human work and eight hours of model time, and would have cost $20.40 at Zhipu’s API prices.
CAISI said its own assessment reached similar conclusions and called GLM-5.3 the most cyber-capable open-weight model it had tested, about four months behind the best US models. Anthropic said state and non-state actors would likely use such models to cause harm, and it argued that governments should test capable systems and defenders should have tools on par with attackers. The UK's AI Security Institute separately said open models had narrowed their cyber gap to four to seven months and that safeguards were largely ineffective.
Named in this story
Companies
- Anthropic
- said its analysis compared GLM-5.3 with Claude Mythos Preview
- Zhipu AI
- made GLM-5.3 and operates as Z.ai outside China
Governments and agencies
- CAISI
- US agency that conducted a separate assessment
- The UK's AI Security Institute
- said open models had narrowed their cyber gap
Products and systems
- GLM-5.3
- open-weight model Anthropic tested for exploit development
- Claude Mythos Preview
- Anthropic model used as the comparison point
- GLM-5.3-Flash
- smaller variant Anthropic used in the Chrome attack test
- Chrome
- browser whose bug was combined with another flaw
- V8 engine
- Chrome engine targeted in Anthropic’s benchmark testing
How the source tells it
The piece was written in a cautious, sceptical register, but it repeatedly used alarm about misuse and suspicion about Anthropic’s motives.
- alarm and urgency dire misuse claims and pressure around how quickly the models could be turned to attack work
- suspicion of self-interest the warning is tied to Anthropic’s business position and to language about regulatory capture