LLM02 Sensitive Information Disclosure — How LLMs Leak PII, Credentials & System Data | AI LLM Hacking Course Day 6
The article discusses how large language models (LLMs) can inadvertently disclose sensitive information such as PII, credentials, and system data through vulnerabilities like prompt injection. It emphasizes that such disclosures often follow successful LLM01 or LLM07 attacks and can elevate a high-severity finding to critical due to the sensitivity of exposed data. The piece outlines four mechanisms of data leakage in LLMs and provides guidance on identifying, validating, and assessing the impact of these disclosures.
- ▪Sensitive information in LLMs, such as AWS keys and PII, can be exposed through system prompt leakage.
- ▪LLM02 Sensitive Information Disclosure often follows successful prompt injection attacks (LLM01 or indirect injection from LLM07).
- ▪Four main disclosure mechanisms include system prompt leakage, training data memorization, RAG and context window exposure, and cross-session data leakage.
- ▪Exposure of credentials or PII through LLMs can trigger regulatory requirements like GDPR breach notifications.
- ▪The article is part of a 90-day AI/LLM hacking course focused on red team techniques with an emphasis on authorized testing only.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3874393) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Mr Elite Posted on May 2 • Originally published at securityelites.com LLM02 Sensitive Information Disclosure — How LLMs Leak PII, Credentials & System Data | AI LLM Hacking Course Day 6 #llmdataleakage #llm02owasp #piileakagellm #sensitivedatallm 📰 Originally published on Securityelites — AI Red Team Education — the canonical, fully-updated version of this article.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
Discussion
0 commentsMore from DEV.to (Top)
