Anthropic 评估 GLM-5.3：可自主构建漏洞利用链Chinese only
Anthropic 的隔离环境测试显示，GLM-5.3 在 ExploitBench 的 410 次尝试中完成了 50 次端到端漏洞利用，与 Claude Mythos Preview 的 56 次接近。其模拟恶意请求测试中，简单方法让模型在 64% 至 100% 的情况下继续响应；这些结果不能直接等同于真实攻击表现。
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Anthropic report warns of GLM-5.3 cyber capabilities and safeguard risks
Anthropic’s report says GLM-5.3 succeeded in 50 of 410 ExploitBench attempts, compared with 56 for Claude Mythos Preview. It also says researchers got the model to continue with attacks in 92% of simulated tests by prefilling its reasoning, and calls for independent safety testing.
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Anthropic report warns of GLM-5.3 cyber capabilities and safeguard risks
Anthropic’s report says GLM-5.3 succeeded in 50 of 410 ExploitBench attempts, compared with 56 for Claude Mythos Preview. It also says researchers got the model to continue with attacks in 92% of simulated tests by prefilling its reasoning, and calls for independent safety testing.
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- Anthropic 研究成果
Anthropic assesses GLM-5.3’s ability to build exploits autonomously
In isolated tests, Anthropic found that GLM-5.3 completed end-to-end exploits in 50 of 410 ExploitBench attempts, compared with 56 for Claude Mythos Preview. In simulated tests involving malicious requests, simple techniques led the model to engage 64% to 100% of the time; the results do not directly establish how it would behave in real-world attacks.
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- 量子位 AI