4501 matches found
PYSEC-2026-1734 Open WebUI stored cross-site scripting (XSS) vulnerability
A stored cross-site scripting XSS vulnerability exists in open-webui/open-webui version 0.3.8. The vulnerability is present in the /api/v1/models/add endpoint, where the model description field is improperly sanitized before being rendered in chat. This allows an attacker to inject malicious...
Open WebUI has SSRF in /openai/models
The /openai/models endpoint in open-webui/open-webui version 0.3.8 is vulnerable to Server-Side Request Forgery SSRF. An attacker can change the OpenAI URL to any URL without checks, causing the endpoint to send a request to the specified URL and return the output. This vulnerability allows the...
Open WebUI Allows Arbitrary File Write via the `/models/upload` Endpoint
In open-webui version 0.3.8, the endpoint /models/upload is vulnerable to arbitrary file write due to improper handling of user-supplied filenames. The vulnerability arises from the usage of filepath = f"UPLOADDIR/file.filename" without proper input validation or sanitization. An attacker can...
PYSEC-2026-1743 Open WebUI has SSRF in /openai/models
The /openai/models endpoint in open-webui/open-webui version 0.3.8 is vulnerable to Server-Side Request Forgery SSRF. An attacker can change the OpenAI URL to any URL without checks, causing the endpoint to send a request to the specified URL and return the output. This vulnerability allows the...
PYSEC-2026-1730 Open WebUI Allows Arbitrary File Write via the `/models/upload` Endpoint
In open-webui version 0.3.8, the endpoint /models/upload is vulnerable to arbitrary file write due to improper handling of user-supplied filenames. The vulnerability arises from the usage of filepath = f"UPLOADDIR/file.filename" without proper input validation or sanitization. An attacker can...
PYSEC-2026-1660 MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with...
PYSEC-2026-1663 MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.24.0 or newer, enabling a maliciously uploaded pmdarima model to run arbitrary code on an end user’s system when interacted with...
CVE-2026-55514
CVE-2026-55514 affects the vLLM library (inference/serving) from versions 0.12.0 through older than 0.24.0. Sending a pure prompt embeds payload in a /v1/completions request for a model using M-RoPE triggers an EngineCore assertion, causing a fatal crash that shuts down the entire server applicat...
CVE-2026-55514 vLLM denial of service via prompt embeds on M-RoPE models
vLLM is a library for LLM inference and serving. From 0.12.0 to before 0.24.0, sending a pure prompt embeds payload in a /v1/completions request with a model using M-RoPE causes EngineCore to fail an assertion and fatally crash, shutting down the entire server application. Any remote user who is...
CVE-2026-55646
vLLM is an inference and serving engine for large language models. From 0.22.0 to 0.23.0, the /v1/audio/transcriptions and /v1/audio/translations routes call request.file.read to fully materialize an uploaded audio file into memory before vLLM checks the documented VLLMMAXAUDIOCLIPFILESIZEMB...
PYSEC-2026-972 Core dump when loading TFLite models with quantization in TensorFlow
Impact Certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling...
EUVD-2025-210423
Picklescan before 0.0.33 fails to detect the numpy.f2py.crackfortran.getlincoef gadget in pickle reduce methods, allowing arbitrary code execution. Attackers can craft malicious pickle files that execute arbitrary Python code when loaded, bypassing Picklescan's safety checks and enabling...
CVE-2025-71342
picklescan before 0.0.30 fails to detect malicious pickle files using idlelib.run.Executive.runcode in reduce methods. Attackers can embed undetected code in pickle files that executes during pickle.load, enabling remote code execution in PyTorch models and supply chain attacks...
CVE-2025-71342 picklescan - Undetected Remote Code Execution via idlelib.run.Executive.runcode
picklescan before 0.0.30 fails to detect malicious pickle files using idlelib.run.Executive.runcode in reduce methods. Attackers can embed undetected code in pickle files that executes during pickle.load, enabling remote code execution in PyTorch models and supply chain attacks...
CVE-2026-12480
Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the H5IOStore.verifydataset and fileeditor.py methods, which fail to check the dataset.isvirtual property of HDF5 datasets. This allows ...
Important: Red Hat Security Advisory: Red Hat Enterprise Linux AI 3.4.1 enhancement update
Updated Red Hat Enterprise Linux AI 3.4.1 container images are now available. Red Hat® Enterprise Linux® AI is a foundation model platform to seamlessly develop, test, and run Granite family large language models LLMs for enterprise applications. This update provides the latest Red Hat Enterprise...
Important: Red Hat Security Advisory: Red Hat Enterprise Linux AI 3.4.1 enhancement update
Updated Red Hat Enterprise Linux AI 3.4.1 container disk images are now available. Red Hat® Enterprise Linux® AI is a foundation model platform to seamlessly develop, test, and run Granite family large language models LLMs for enterprise applications. This update provides the latest Red Hat...
MAL-2026-6648 Malicious code in @shopbop/api-models (npm)
--- -= Per source details. Do not edit below this line.=- Source: ghsa-malware b1e5f6c38f5d8b7befd57a2236e32bc2bc940467d300734af69b97f0b219cf2e Any computer that has this package installed or running should be considered fully compromised. All secrets and keys stored on that computer should be...
PYSEC-2026-406 mamba language model framework vulnerable to insecure deserialization when loading pre-trained models from HuggingFace Hub
The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization CWE-502 when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.frompretrained method uses torch.load to load the pytorchmodel.bin weight file without enabling the security-restrictive...