AI Research Atlas

GLM-5.3 and the spread of advanced cyber capabilities

Anthropic · 29 September 2026

Anthropic finds open-weights GLM-5.3 hijacks control flow in 4% of trials vs 6% for Mythos Preview, and its safeguards fall 64-100% of the time.

Five months after Mythos Preview, an openly downloadable model can build end-to-end exploits, with full control-flow hijacks in 4% of trials vs 6% for Mythos Preview. A cover story, thinking prefill or abliteration defeated its safeguards 64%, 92% and 100% of the time, while safeguarded Claude models stayed at zero. CAISI (2026-09-17) called it the most cyber-capable open-weight model.

Date
Tuesday, 29 September 2026
Lab
Anthropic
Kind
paper
Access
paper only

Figures

MeasureValueMeasured by
Safeguard bypass rate for GLM-5.3 in simulated tests64% (cover story), 92% (thinking prefill), 100% (abliteration)
none succeeded against safeguarded Claude models
company
Full control-flow hijacks on 100 random OSS-Fuzz-style tasks4% GLM-5.3 vs 6% Mythos Preview
Anthropic run; earlier models such as Opus 4.6 had not managed this
company
Lag behind US frontier on CAISI cyber benchmarksabout 4 months
CAISI assessment published 2026-09-17
third-party

Competitor-measured by a US lab with a stake in safeguards; CAISI's separate figure is cited, not re-checked. Anthropic's CEO separately wrote (2026-07-27) that he does not support banning open-weights models.

Sources

  1. www.anthropic.com/research/glm-5-3-and-the-spread-of-advanced-cyber-capabilities

This record was checked against its sources on 6 October 2026. How we check

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