Offensive Security with Large Language Models (2)
theori.io | research | #ai-security | #prompt-injection | #offensive-security | #sast | #llm | #static-analysis | #codeql
Summary
Part two of Xint’s LLM offensive-security series: how LLMs assist static analysis where CodeQL falls short on third-party taint specs, plus injection risks in LLM-integrated web apps.
- Published
- Collected
--- id: 4658 title: "Offensive Security with Large Language Models (2)" source_domain: theori.io source_url: "https://theori.io/blog/offensive-security-with-large-language-models-2-48547" published_at: "2024-09-30 09:00" tags: ["ai-security", "prompt-injection", "offensive-security", "sast", "llm", "static-analysis", "codeql"] phying_url: "https://phying.com/item/4658" lang: en --- # Offensive Security with Large Language Models (2) ## Summary Part two of Xint’s LLM offensive-security series: how LLMs assist static analysis where CodeQL falls short on third-party taint specs, plus injection risks in LLM-integrated web apps. ## Intelligence Metadata - **Sources:** theori.io - **Published:** 2024-09-30 09:00 - **Original:** https://theori.io/blog/offensive-security-with-large-language-models-2-48547 - **Phying News:** https://phying.com/item/4658