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LLM redaction library leaks private key due to adversarial testing

A security vulnerability was discovered in the llm-stream-guardrails library, which is designed to redact sensitive information from LLM output streams. The library failed to mask a private key when its footer was mislabeled, allowing the key to be leaked in cleartext. This issue, along with three other similar vulnerabilities related to IBANs, placeholder tokens, and Unicode look-alikes, was found by an adversarial testing approach that focused on properties rather than specific examples. The library has been updated to version 0.7.9 with fixes and regression tests, and a security advisory (GHSA-777v-7mvx-mxgp) has been published. AI

IMPACT Highlights the critical need for robust security testing in AI output processing tools to prevent sensitive data leaks.

RANK_REASON This is a security vulnerability disclosure for a specific software tool, not a core AI release or significant industry event.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM redaction library leaks private key due to adversarial testing

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31 / 100
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Tool
This is a security vulnerability disclosure for a specific software tool, not a core AI release or significant industry event.
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product, safety
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · ROSH™ Company Labs ·

    I shipped a redaction library, then found it leaking a private key

    <p>I write a small zero-dependency library, <code>llm-stream-guardrails</code>, that strips secrets and PII out of an LLM's output stream before it reaches a screen or a log. Last week it was leaking a private key. This is the bug, how an adversarial pass found it, and the four t…