295 matches found
CVE-2026-31252
CosyVoice Web UI vulnerability (CVE-2026-31252) arises from insecure deserialization (CWE-502) in the model loading component. The framework loads model weight files (e.g., llm.pt, flow.pt, hift.pt) with torch.load() without enabling weights_only=True, permitting arbitrary Python object deseriali...
CosyVoice 安全漏洞
CosyVoice is an open-source voice generation and AI voice cloning platform developed by FunAudioLLM. There was a security vulnerability in the previous version of CosyVoice. This vulnerability stemmed from the model loading component using torch.load to load model weight files without enabling th...
PT-2026-39637
CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e 2025-30-21 contains an insecure deserialization vulnerability CWE-502 in its model loading component. The framework uses torch.load to load model weight files e.g., llm.pt, flow.pt, hift.pt without enabling the security-restrictive...
CVE-2026-31252
CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e 2025-30-21 contains an insecure deserialization vulnerability CWE-502 in its model loading component. The framework uses torch.load to load model weight files e.g., llm.pt, flow.pt, hift.pt without enabling the security-restrictive...
CVE-2026-6859 Instructlab: instructlab: arbitrary code execution due to hardcoded `trust_remote_code=true`
A flaw was found in InstructLab. The linuxtrain.py script hardcodes trustremotecode=True when loading models from HuggingFace. This allows a remote attacker to achieve arbitrary Python code execution by convincing a user to run ilab train/download/generate with a specially crafted malicious model...
EUVD-2026-24629
Missing bounds validation for operator could allow out of range operator-code lookup during model loading Affected version is prior to commit 1.30.0...
CVE-2026-6840
Missing bounds validation for operator could allow out of range operator-code lookup during model loading Affected version is prior to commit 1.30.0...
CVE-2026-6840
CVE-2026-6840 describes missing bounds validation for an operator during model loading, enabling a out-of-range operator-code lookup. Affected versions are those prior to commit 1.30.0. The CVSS 3.1 base score is 5.5 (Medium) with Local attack vector, Low attack complexity, No privileges required...
CVE-2026-6840
Missing bounds validation for operator could allow out of range operator-code lookup during model loading Affected version is prior to commit 1.30.0...
CVE-2026-6840
Missing bounds validation for operator could allow out of range operator-code lookup during model loading Affected version is prior to commit 1.30.0...
CVE-2026-6840
Missing bounds validation for operator could allow out of range operator-code lookup during model loading Affected version is prior to commit 1.30.0...
ONE 输入验证错误漏洞
ONE is a high-performance edge-side neural network inference framework developed by Samsung. Versions of ONE prior to 1.30.0 contained a vulnerability related to input validation errors. This vulnerability stemmed from a lack of operator boundary validation, which could lead to out-of-bounds code...
PT-2026-34263
CVE-2026-6840 Missing bounds validation for operator could allow out of range operator-code lookup during model loading Affected version is prior to commit 1.30.0. https://t.co/DGJUzFs4hC...
Rembg has a Path Traversal via Custom Model Loading
Summary A path traversal vulnerability in the rembg HTTP server allows unauthenticated remote attackers to read arbitrary files from the server's filesystem. By sending a crafted request with a malicious modelpath parameter, an attacker can force the server to attempt loading any file as an ONNX...
CVE-2026-40086
Rembg: Path traversal in the HTTP server allows unauthenticated remote attackers to read arbitrary files via a crafted model_path parameter. Affected versions are prior to 2.0.75; the issue can reveal file existence, permissions, and potentially contents through error messages. The vulnerability ...
Security Bulletin: Arbitrary File Read, SSRF, and Code Execution Vulnerabilities in TensorFlow Keras Model Loading (v2.13) affects watsonx.data
Summary A vulnerability in TensorFlow Keras v2.13 allows malicious .keras model files to trigger arbitrary local file reads, Server-Side Request Forgery SSRF, and potential code execution during model loading—even when safemode=True is enabled. The issue arises from improper handling of external...
CVE-2026-34446
A flaw was found in Open Neural Network Exchange ONNX, an open standard for machine learning interoperability. The onnx.load function, which is used to load machine learning models, does not correctly handle hardlinks. This vulnerability could allow an attacker to create a specially crafted ONNX...
PYSEC-2026-103
Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load due to improper logic in the repository trust verification mechanism. While the function is designed to warn users...
UBUNTU-CVE-2026-28500
Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load due to improper logic in the repository trust verification mechanism. While the function is designed to warn users...
CVE-2026-28500 ONNX Untrusted Model Repository Warnings Suppressed by silent=True in onnx.hub.load() — Silent Supply-Chain Attack
Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load due to improper logic in the repository trust verification mechanism. While the function is designed to warn users...