1759 matches found
CVE-2026-7301 CVE-2026-7301
SGLangs multimodal generation runtime scheduler's ROUTER socket binds to 0.0.0.0 by default and contains a sink that calls pickle.loads on incoming messages, enabling RCE when exposed to the internet...
CVE-2026-7301 CVE-2026-7301
SGLangs multimodal generation runtime scheduler's ROUTER socket binds to 0.0.0.0 by default and contains a sink that calls pickle.loads on incoming messages, enabling RCE when exposed to the internet...
CVE-2026-7301 CVE-2026-7301
SGLangs multimodal generation runtime scheduler's ROUTER socket binds to 0.0.0.0 by default and contains a sink that calls pickle.loads on incoming messages, enabling RCE when exposed to the internet...
sglang 代码问题漏洞
SGLang is a programming language and runtime system developed by SGL-project, aimed at accelerating large model inference. SGLang has code vulnerabilities; one of these vulnerabilities stems from the fact that the ROUTER socket, which handles multi-modal generation during runtime scheduling, is...
PT-2026-41668
Name of the Vulnerable Software and Affected Versions SGLangs affected versions not specified Description The multimodal generation runtime scheduler's ROUTER socket binds to 0.0.0.0 by default. It contains a sink that calls the pickle.loads function on incoming messages, which can lead to remote...
CVE-2026-31222
The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability CWE-502 in the Trainer.load method of the Trainer class. The method loads model checkpoint files using torch.load without enabling the security-restrictive weightsonly=True parameter. This default behavior allows...
CVE-2026-31219
The loadmodel function in the neuralmagictraining.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f 2024-07-21 is vulnerable to insecure deserialization CWE-502. When a user provides a single model file path e.g., .pt or .pth via the --model command-line argumen...
CVE-2026-31223
The snorkel library thru v0.10.0 contains a critical insecure deserialization vulnerability CWE-502 in the BaseLabeler.load method of the BaseLabeler class. The method loads serialized labeler models using the unsafe pickle.load function on user-supplied file paths without any validation or...
CVE-2026-31237
The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization CWE-502 through its predict method. When a user provides a dataset file path to the predict method, the framework automatically determines the file format. If the file is a pickle .pkl file, it is loaded using...
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...
CVE-2026-31235
The imgaug library thru 0.4.0 contains an insecure deserialization vulnerability in its BackgroundAugmenter class within the multicore.py module. The class uses Python's pickle module to deserialize data received via a multiprocessing queue in the augmentimagesworker method without any safety...
CVE-2026-8597
Missing integrity verification in the Triton inference handler in Amazon SageMaker Python SDK v2 before v2.257.2 and v3 before v3.8.0 might allow a remote authenticated actor to achieve code execution in inference containers via replacement of model artifacts in S3 with a specially crafted pickle...
CVE-2026-8597 Missing integrity verification in Triton inference handler in Amazon SageMaker Python SDK
Missing integrity verification in the Triton inference handler in Amazon SageMaker Python SDK v2 before v2.257.2 and v3 before v3.8.0 might allow a remote authenticated actor to achieve code execution in inference containers via replacement of model artifacts in S3 with a specially crafted pickle...
Amazon SageMaker Python SDK 安全漏洞
Amazon SageMaker Python SDK is a development toolkit provided by Amazon, Inc., for building, training, and deploying machine learning models. Versions of the Amazon SageMaker Python SDK prior to v2.257.2 and v3.8.0 contained security vulnerabilities. These vulnerabilities stemmed from a lack of...
PickleFuzzer: A Case Study in Fuzzing for Discrepancies between Python Pickle Implementations
Python's native serialization protocol, pickle, is a powerful but insecure format for transferring untrusted data. It is frequently used, especially for saving machine learning models, despite known security challenges. While developers sometimes mitigate this risk by restricting imports during...
PT-2026-41118
Name of the Vulnerable Software and Affected Versions Amazon SageMaker Python SDK versions prior to 2.257.2 Amazon SageMaker Python SDK versions prior to 3.8.0 Description Missing integrity verification in the Triton inference handler allows a remote authenticated actor with S3 write access to th...
CVE-2026-31214
The torch-checkpoint-shrink.py script in the ml-engineering project in commit 0099885db36a8f06556efe1faf552518852cb1e0 2025-20-27 contains an insecure deserialization vulnerability CWE-502. The script uses torch.load to process PyTorch checkpoint files .pt without enabling the security-restrictiv...
CVE-2026-31251
CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e 2025-30-21 contains an insecure deserialization vulnerability CWE-502 in its gRPC server component. When the server starts, it loads the speech synthesis model from a user-specified directory using torch.load without enabling the...
CVE-2026-31249
CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e 2025-30-21 contains an insecure deserialization vulnerability CWE-502 in its makeparquetlist.py data processing tool. The script loads PyTorch .pt files utterance embeddings, speaker embeddings, speech tokens using torch.load without...
CVE-2026-31250
CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e 2025-30-21 contains an insecure deserialization vulnerability CWE-502 in its averagemodel.py model averaging tool. The script loads PyTorch checkpoint files epoch.pt for model averaging using torch.load without enabling the...