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Cyber toolkits for LLMs

ID: 943b49b0-b4b9-471b-861f-1a53e65f6998

STIX ID: report--943b49b0-b4b9-471b-861f-1a53e65f6998

Threat Score

20/100

Uploaded: 2026-08-03

Published Date: 2025-06-13

Last Modified Date: 2026-08-04

Created by: dogesec

TLP:CLEAR
ADMIRALTY:B2
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Anthropic and Carnegie Mellon researchers demonstrate that general-purpose LLMs, when paired with a purpose-built toolkit called Incalmo, can autonomously plan and execute multistage attacks (initial access, lateral movement, data exfiltration) against simulated business-scale networks of 25–50 hosts; Incalmo materially improved success (full compromise in 5/10 networks, partial in 4) compared to unaided models, though tests used known vulnerabilities and networks without active defenses, and the paper highlights defensive research and ethical implications.