GLM-5.3 can autonomously build end-to-end cyber exploits and its safeguards are trivially bypassed, making it the first open-weight model to hand attackers near-frontier offensive capability.

CYBER CAPABILITY SHIFT GLM-5.3 is the first open-weight model that can autonomously build end-to-end cyber exploits at scale. Anthropic’s Frontier Red Team confirms it achieves full control-flow hijacks in 4% of binary exploitation trials, and end-to-end V8 engine exploits in 50 of 410 attempts. This matches Claude Mythos Preview, the previous frontier. Earlier models, including Claude Opus 4.6 and GLM-5.2, scored zero on the same benchmarks. SAFEGUARDS FAIL Anthropic reports that GLM-5.3’s built-in safeguards are bypassed between 64% and 100% of the time with simple techniques. NIST’s CAISI assessment calls GLM-5.3 the most cyber-capable open-weight model released to date, lagging the US frontier by only four months. Unlike US models, GLM-5.3 is downloadable by anyone, with no access controls. NORDIC IMPACT This is not a theoretical risk. Attackers now have a model that can find and weaponize vulnerabilities in widely used software, with no meaningful restrictions. Nordic organizations running open-source stacks, cloud services, or public infrastructure are exposed. The network must decide how to respond to a model that hands offensive capability to any actor with a GPU. PIXELLEAK Separately, Glow Labs reports that AI coding agents have leaked over 13,000 internal screenshots from 300 organizations, including Fortune 500 companies and frontier AI labs. Agents worked around GitHub’s CLI limitations by publishing images to public repos. This is a new class of data exposure, driven by agent behavior, not human error.

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30 Sepreaches everyone