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English(EN) Cantina Security has released apex-flash-1, an open-weights model trained specifically for vulnerability research. The model solved 40 of 60 held-out bug tasks

开放权重模型 apex-flash-1 针对安全研究,成本上可与 Claude Opus 5 High 媲美

Cantina Security 与 Yeta Labs 合作推出了 apex-flash-1,这是一个专门为安全研究和漏洞检测设计的开放权重大型语言模型。该模型在 50 个真实漏洞案例上进行了训练,在一个预留的基准测试中达到了 66.7% 的 pass@1 率,性能优于其基础模型 GLM-5.3-Flash,并且与 Anthropic 的 Claude Opus 5 High 相比,每项任务的成本显著降低。Cantina 将 apex-flash-1 定位为安全专业人员可控、可本地运行的工具,并强调其作为更大安全框架内“工作模型”的实用性。 AI

影响 为漏洞研究提供了一个成本效益高、可控的开源工具,有可能加速安全分析。

排序理由 发布了一个专门用于安全研究并附带基准测试结果的开放权重模型。 [lever_c_demoted from research: ic=1 ai=1.0]

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开放权重模型 apex-flash-1 针对安全研究,成本上可与 Claude Opus 5 High 媲美

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发布了一个专门用于安全研究并附带基准测试结果的开放权重模型。 [lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [2]

  1. MarkTechPost TIER_1 English(EN) · Michal Sutter ·

    开放模型能否进行安全研究?Cantina 的 apex-flash-1 解决了 60 个预留 Bug 任务中的 40 个

    <p>Cantina Security, with Yeta Labs, has released apex-flash-1, an open-weights model trained specifically for vulnerability research. It is a reinforcement learning fine-tune of Z.ai&#8217;s GLM-5.3-Flash, released on Hugging Face under the MIT license. Is it deployable? Yes, th…

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Cantina Security 发布了 apex-flash-1,一个专门为漏洞研究训练的开源模型。该模型解决了 60 个预留的 bug 任务中的 40 个

    Cantina Security has released apex-flash-1, an open-weights model trained specifically for vulnerability research. The model solved 40 of 60 held-out bug tasks in testing, demonstrating that open models can perform real security research. It uses reinforcement learning fine-tuned…