CVE-2026-31238

The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization CWE-502 in its model serving component. When starting a model server with the ludwig serve command, the framework loads model weight files using torch.load without enabling the security-restrictive weightsonly=True...

MalwarePT: A Binary-Level Foundation Model for Malware Analysis

Automated malware analysis increasingly relies on machine learning, yet most existing methods remain task-specific and depend on handcrafted features or narrowly scoped models. Recent developments in binary-level foundation models suggest a path toward reusable program representations, but their...

CVE-2026-44562: Missing Authorization

Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline. Prior to 0.9.0, the POST /api/v1/models/import endpoint allows users with the workspace.modelsimport permission to overwrite any existing model in the database, regardless of ownership. When an...

Open WebUI Access Control Vulnerability

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted WebUI under open source. Prior to Open WebUI 0.9.0, there was an access control vulnerability. This vulnerability stemmed from the /responses endpoint in the OpenAI router, which accepted any authenticated user and directly...

Open WebUI security vulnerabilities

Open WebUI is an open-source, scalable, feature-rich, and user-friendly self-hosted WebUI. Versions of Open WebUI prior to 0.9.0 contained security vulnerabilities. These vulnerabilities stemmed from the POST /api/v1/models/import endpoint, which allowed users with the workspace.models.import...

Open WebUI Cross-Site Script Vulnerability

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted WebUI under open source. Versions of Open WebUI prior to 0.9.0 contained a cross-site scripting vulnerability. This vulnerability stemmed from stored-xss attacks, which could allow users with model creation permissions to...

Open WebUI Information Leakage Vulnerability

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted WebUI under open source. Versions of Open WebUI prior to 0.9.5 had a vulnerability related to information leakage. This vulnerability occurred when group members were granted read access to model settings, allowing them to...

CVE-2026-45365: Improper Authorization

Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline. Prior to 0.8.11, an internal-only bypassfilter parameter is exposed on the /openai/chat/completions and /ollama/api/chat HTTP endpoints via FastAPI query string binding, allowing any authenticated...

CVE-2026-45345: Improper Authorization

Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline. Prior to 0.5.7, a user can modify another user's model even if its visibility is set to Private. By changing the access permissions during editing, unauthorized access can be gained. This...

CVE-2026-45387: Exposure of Sensitive Information to an Unauthorized Actor

Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline. Prior to 0.9.5, when setting model permissions so that a group has read access to it, intending for other users to use it, those users also can read the model's system prompt. However users may...

CVE-2026-44555: Missing Authorization

Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline. Prior to 0.9.0, Open WebUI supports model composition via basemodelid: a user-defined model e.g., "Cheap Assistant" can reference an existing base model e.g., "gpt-4-turbo-restricted" that provides...

DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models

While vision and multimodal foundation models underpin critical tasks from perception to complex reasoning, they remain highly vulnerable to adversarial attacks. However, traditional adversarial attacks are typically limited to single, predefined objectives, tightly coupling each attack to a...

Open WebUI Information Leakage Vulnerability

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted WebUI under open source. Versions of Open WebUI prior to 0.8.9 contained a vulnerability related to information leakage. This vulnerability occurred when non-administrator users logged in, causing the application to send...

MINI-QM33-3MGW-PP9V

Bulletin has no description...

MINI-2MW8-876P-RM68

Bulletin has no description...

Insertion of Sensitive Information Into Sent Data

Overview open-webui is an Open WebUI Affected versions of this package are vulnerable to Insertion of Sensitive Information Into Sent Data through the getmodelbyid handler in routers/models.py. An attacker can read the admin-curated system prompt and other model behavior settings by sending a GET...

GHSA-H2CW-7QW9-56XR Open WebUI: Sharing models for others to use (read permission) also exposes model details (system prompt leakage)

Summary When setting model permissions so that a group has read access to it, intending for other users to use it, those users also can read the model's system prompt. However users may consider their system prompt confidential, so we consider this a security issue. Compare...

Open WebUI: Sharing models for others to use (read permission) also exposes model details (system prompt leakage)

Summary When setting model permissions so that a group has read access to it, intending for other users to use it, those users also can read the model's system prompt. However users may consider their system prompt confidential, so we consider this a security issue. Compare...

GHSA-V6QF-75PR-P96M Open WebUI: Authenticated users can bypass model access control via exposed query parameter [AI-ASSISTED]

Summary An internal-only bypassfilter parameter is exposed on the /openai/chat/completions and /ollama/api/chat HTTP endpoints via FastAPI query string binding, allowing any authenticated user to append ?bypassfilter=true and bypass model access control checks to invoke admin-restricted models...

Open WebUI: Authenticated users can bypass model access control via exposed query parameter [AI-ASSISTED]

Summary An internal-only bypassfilter parameter is exposed on the /openai/chat/completions and /ollama/api/chat HTTP endpoints via FastAPI query string binding, allowing any authenticated user to append ?bypassfilter=true and bypass model access control checks to invoke admin-restricted models...