# GuardBreaker: Derailing AI-assisted malware analysis with a code comment

DevFeed: [GuardBreaker: Derailing AI-assisted malware analysis with a code comment](<https://devfeed.tech/articles/guardbreaker-derailing-ai-assisted-malware-analysis-with-a-code-comment-8333.md>)

Original publisher: [Read original article](<https://www.welivesecurity.com/en/business-security/guardbreaker-derailing-ai-assisted-malware-analysis-code-comment/>)

Author: Tomáš Foltýn

Published: 2026-09-10T09:00:00Z

Content type: article

Language: en

Sources: [WeLiveSecurity](<https://devfeed.tech/sources/welivesecurity.md>)

Topics: [Machine Learning, Security Attacks](<https://devfeed.tech/topics/machine-learning-security-attacks.md>), [Malware](<https://devfeed.tech/topics/malware.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Threat Research](<https://devfeed.tech/topics/threat-research.md>), [Code](<https://devfeed.tech/topics/code.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [analysis](<https://devfeed.tech/tags/analysis.md>), [attacks](<https://devfeed.tech/tags/attacks.md>), [business-security](<https://devfeed.tech/tags/business-security.md>), [llm](<https://devfeed.tech/tags/llm.md>), [malware](<https://devfeed.tech/tags/malware.md>), [security](<https://devfeed.tech/tags/security.md>)

## AI overview

The article describes GuardBreaker, a prompt-injection technique that hides a safety-triggering request in a VBScript comment to disrupt an LLM-powered malware code scanner. The comment does not affect runtime behavior, but may cause the model to stop analysis before reaching malicious code.

## Source excerpt

LLM-based code scanners won't help attackers build a nuclear weapon, but that refusal could work in their favor