AI & LLM Vulnerabilities

CVE-2025-31564 is a SQL injection vulnerability (a type of attack where an attacker inserts malicious database commands into user input) found in the Ai Auto Tool Content Writing Assistant WordPress plugin, versions up to 2.1.7. The vulnerability allows blind SQL injection (SQL attacks where the attacker cannot see direct results but can infer information through application behavior), potentially letting attackers access or manipulate the database.

Mesop is a Python-based UI framework for building web applications that has a class pollution vulnerability (a flaw allowing attackers to modify global variables and class attributes at runtime, similar to prototype pollution in JavaScript) in versions before 0.14.1. This vulnerability could cause denial of service attacks (making a service unavailable), identity confusion where attackers impersonate system roles, jailbreak attacks against LLMs (large language models, AI systems that generate text), or potentially remote code execution (running unauthorized commands on a server) depending on how the application is built.

A CSRF vulnerability (cross-site request forgery, where an attacker tricks a user into performing unwanted actions on a website) exists in the Signup feature of MLflow versions 2.17.0 to 2.20.1, allowing attackers to create unauthorized accounts. This could enable an attacker to perform malicious actions while appearing to be a legitimate user.

MLflow version 2.17.2 has a vulnerability in its `/graphql` endpoint (a web interface for querying data) that allows attackers to perform a denial of service attack (making a service unavailable) by sending large batches of repeated queries. This exhausts all the workers (processes handling requests) that MLflow has available, preventing the application from responding to legitimate requests.

Ollama (an AI model framework) versions 0.3.14 and earlier have a vulnerability where a malicious user can upload a specially crafted GGUF model file (a format for storing AI models) that causes a division by zero error (when code tries to divide a number by zero, crashing the program) in the ggufPadding function, crashing the server and making it unavailable (a Denial of Service attack).

A vulnerability in Ollama (an AI model software) version 0.3.14 and earlier allows an attacker to upload a specially crafted GGUF model file (a format for storing AI models) that tricks the server into using unlimited memory, causing a denial of service (DoS, a situation where a system becomes unavailable to users). The vulnerability stems from the server not properly limiting how much memory it allocates when processing model files.

CVE-2025-0312 is a vulnerability in Ollama (a tool for running AI models locally) versions 0.3.14 and earlier that allows an attacker to upload a malicious GGUF model file (a specific format for storing AI model weights). When the server processes this file, it crashes due to a null pointer dereference (trying to access memory that doesn't contain valid data), which can be exploited remotely to cause a denial of service attack (making the service unavailable to legitimate users).

CVE-2024-9070 is a deserialization vulnerability (a security flaw where untrusted data is converted back into executable code) in BentoML versions 1.3.4.post1 and earlier that affects the runner server component. An attacker can exploit this by setting specific parameters to execute arbitrary code (any commands they choose) on the affected server, causing severe damage.

CVE-2024-8966 is a vulnerability in Gradio version @gradio/video@0.10.2 that allows attackers to cause a Denial of Service (DoS, when a system becomes unavailable to users) by uploading files with extremely long multipart boundaries (the separators in file upload data). The attack forces the system to continuously process characters and issue warnings, making Gradio inaccessible for extended periods.