# llm-apps
標記為「llm-apps」的 8 篇文章
Defense-in-Depth for LLM Applications
Implementing layered defense architectures for production LLM applications.
Authentication & Session Attacks
Methodology for bypassing authentication, extracting API keys, manipulating session state, exploiting cross-session data leakage, and escalating privileges in LLM-powered applications.
AI Application Security
Methodology for exploiting LLM application vulnerabilities: output handling injection (XSS, SQLi, RCE), authentication bypass, session manipulation, and integration-layer attacks.
Output Handling Exploits
Deep dive into XSS, SQL injection, command injection, SSTI, and path traversal attacks that weaponize LLM output as an injection vector against downstream systems.
防禦-in-Depth for LLM Applications
Implementing layered defense architectures for production LLM applications.
身分驗證與會話攻擊
繞過身分驗證、提取 API 金鑰、操弄會話狀態、利用跨會話資料洩漏，與於 LLM 驅動應用升級特權之方法論。
AI 應用安全
利用 LLM 應用漏洞之方法論：輸出處理注入（XSS、SQLi、RCE）、驗證繞過、會話操弄，以及整合層攻擊。
Output Handling 利用s
Deep dive into XSS, SQL injection, command injection, SSTI, and path traversal attacks that weaponize LLM output as an injection vector against downstream systems.