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We Are Still Unable to Secure LLMs from Malicious Inputs

ID: c8555b5b-0622-5e78-9527-1d6d3196232a

STIX ID: report--c8555b5b-0622-5e78-9527-1d6d3196232a

Feed Name: Schneier on Security

Threat Score
55/100

Date Published: 2025-08-27

Date Updated: 2026-04-19

Author: Bruce Schneier

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The article describes a proof-of-concept prompt-injection attack in which a poisoned Google Drive document contains hidden instructions that cause an LLM to search the victim’s files for API keys and exfiltrate them via a crafted URL, illustrating a class of vulnerabilities and the broader risk that current LLM systems are unable to reliably defend against malicious inputs.

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