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Measuring LLMs' impact on N-day exploits

ID: 40f01eda-95b8-4444-ac01-675aa320b4c0

STIX ID: report--40f01eda-95b8-4444-ac01-675aa320b4c0

Threat Score

75/100

Uploaded: 2026-08-03

Published Date: 2026-06-08

Last Modified Date: 2026-08-04

Created by: dogesec

TLP:CLEAR
ADMIRALTY:B2
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Executive summary: Anthropic's Frontier Red Team evaluated how advanced large language models accelerate 'N-day' exploit development by turning public patches into working proof-of-concept crashes and full exploits for Firefox (SpiderMonkey) and Windows kernel vulnerabilities. Across their tests, Mythos Preview produced multiple PoCs and eight distinct end-to-end privilege-escalation exploits within hours and at costs of a few thousand dollars, demonstrating that LLMs can dramatically shorten the time and lower the cost to weaponize disclosed patches and thereby increase real-world risk during the patch gap.