AI & LLM Vulnerabilities

CVE-2025-62356 is a path traversal vulnerability (a flaw that lets attackers access files outside intended directories) in all versions of Qodo Gen IDE that allows attackers to read any local files on a user's computer, both inside and outside their projects. The vulnerability can be exploited directly or through indirect prompt injection (tricking the AI by hiding malicious instructions in its input).

A Server-Side Request Forgery (SSRF) vulnerability, a weakness that lets attackers trick a server into making unwanted requests to internal resources, exists in the MediaConnector class of the vLLM project's multimodal feature set. The vulnerability occurs in the load_from_url and load_from_url_async methods, which fetch media from user-provided URLs without properly checking which hosts are allowed, potentially allowing attackers to access internal network resources through the vLLM server.

LLaMA-Factory, a library for customizing large language models, has a vulnerability in versions before 0.9.4 that allows authenticated users to exploit SSRF (server-side request forgery, where the server is tricked into making requests to unintended destinations) and LFI (local file inclusion, where attackers can read files directly from the server) by providing malicious URLs to the chat API. The vulnerability exists because the code doesn't validate URLs before making HTTP requests, allowing attackers to access sensitive internal services or read arbitrary files from the server.

vLLM, a system for running and serving large language models, had a security weakness in how it checked API keys (secret codes that authenticate users) before version 0.11.0rc2. The validation used a basic string comparison that took longer to complete the more correct characters an attacker guessed, allowing them to figure out the key one character at a time through a timing attack (analyzing how long the system takes to respond). This weakness could let attackers bypass authentication and gain unauthorized access.

The HTMLSectionSplitter class in langchain-text-splitters version 0.3.8 has a vulnerability where it unsafely parses XSLT stylesheets (instructions that transform XML data), allowing attackers to read sensitive files like SSH keys or environment configurations without needing special access. This XXE (XML External Entity, a type of injection attack that exploits how XML parsers handle external files) attack works by default in older versions of the underlying lxml library and can still work in newer versions unless specific security controls are added.

Flowise version 3.0.7 has a file upload vulnerability that lets authenticated users (people with login access) upload any file type without proper checks. Attackers can upload malicious Node.js web shells (programs that let someone run commands on a server remotely), which stay on the server and could lead to RCE (remote code execution, where an attacker runs commands on a system they don't own) if activated through admin mistakes or other vulnerabilities.

Cursor is a code editor designed for programming with AI help. Versions 1.6.23 and below have a security flaw where they use case-sensitive checks (checking uppercase and lowercase letters as different) to protect sensitive files, which allows attackers to use prompt injection (tricking the AI with hidden instructions) to modify these files and gain remote code execution (the ability to run commands on the victim's computer) on case-insensitive filesystems (systems that treat uppercase and lowercase letters the same).