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The Most Dangerous AI Hacking Techniques Still Have Humans in the Loop

ID: 53101f79-2dc9-50ed-a11f-55dd8ba67ece

STIX ID: report--53101f79-2dc9-50ed-a11f-55dd8ba67ece

Feed Name: WIRED Security

Threat Score
20/100

Date Published: 2026-08-05

Date Updated: 2026-08-06

Author: Lily Hay Newman

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James Kettle presented research at Black Hat showing that agentic AI, when guided by a human, can accelerate vulnerability research and helped identify a novel potential web vulnerability class dubbed "Shared-Parser Confusion." The work demonstrates AI's growing utility as a research partner but also its limitations: the finding was a hypothesis confirmed by the researcher, was rare, not proven exploitable in the tested target, and there is no evidence of active exploitation.

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