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API keys, passwords or tokens committed into the repo.
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Packages you depend on that have known security holes (CVEs).
CVE-2025-32434 PyTorch is a Python package that provides tensor computation with stro ...CVE-2023-6730 transformers has a Deserialization of Untrusted Data vulnerabilityCVE-2023-6730 transformers has a Deserialization of Untrusted Data vulnerabilityCVE-2024-43497 DeepSpeed Remote Code Execution VulnerabilityCVE-2024-31580 PyTorch before v2.2.0 was discovered to contain a heap buffer overflow ...CVE-2024-31583 Pytorch before version v2.2.0 was discovered to contain a use-after-fr ...CVE-2025-2999 A vulnerability was found in PyTorch 2.6.0. It has been rated as criti ...CVE-2025-3730 A vulnerability, which was classified as problematic, was found in PyT ...CVE-2023-7018 transformers has a Deserialization of Untrusted Data vulnerabilityCVE-2024-11392 transformers: Hugging Face Transformers MobileViTV2 Deserialization of Untrusted Data Remote Code Execution VulnerabilityCVE-2024-11393 transformers: Hugging Face Transformers MaskFormer Model Deserialization of Untrusted Data Remote Code Execution VulnerabilityCVE-2024-11394 transformers: Hugging Face Transformers Trax Model Deserialization of Untrusted Data Remote Code Execution VulnerabilityCVE-2026-4372 HuggingFace transformers vulnerable to remote code executionCVE-2026-5241 python-transformers: python-transformers: Arbitrary code execution due to overridden trust_remote_code settingCVE-2024-12720 Transformers Regular Expression Denial of Service (ReDoS) vulnerabilityCVE-2025-1194 Transformers Regular Expression Denial of Service (ReDoS) vulnerabilityCVE-2025-2099 transformers: Regular Expression Denial of Service (ReDoS) in huggingface/transformersCVE-2025-3263 transformers: Regular Expression Denial of Service (ReDoS) in huggingface/transformersCVE-2025-3264 transformers: Regular Expression Denial of Service (ReDoS) in huggingface/transformersCVE-2025-3933 transformers: Regular Expression Denial of Service (ReDoS) in huggingface/transformersCVE-2025-5197 transformers: Transformers ReDoS VulnerabilityCVE-2025-6051 transformers: Regular Expression Denial of Service (ReDoS) in huggingface/transformersCVE-2025-6638 transformers: Regular Expression Denial of Service (ReDoS) in huggingface/transformersCVE-2025-6921 transformers: Regular Expression Denial of Service (ReDoS) in huggingface/transformersCVE-2026-1839 transformers: HuggingFace Transformers: Arbitrary code execution via malicious checkpoint fileYour dependencies cross-checked against the OSV vulnerability database.
PYSEC-2024-259 In PyTorch <=2.4.1, the RemoteModule has Deserialization RCE. NOTE: this is disputed by multiple parties because this is intended behavior in PyTorch distributed computing.PYSEC-2025-41 PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command EPYSEC-2023-300 Deserialization of Untrusted Data in GitHub repository huggingface/transformers prior to 4.36.PYSEC-2026-2290 A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an attacker-controlled model repository to execute arbitrary code during model initialization. The PYSEC-2026-2102 AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Prior to version 3.13.4, the C parser (the default for most installs) accepted null bytes and control characters in respPYSEC-2023-238 Deserialization of untrusted data in IPC and Parquet readers in PyArrow versions 0.14.0 to 14.0.0 allows arbitrary code execution. An application is vulnerable if it reads Arrow IPC, Feather or ParquePYSEC-2024-259 In PyTorch <=2.4.1, the RemoteModule has Deserialization RCE. NOTE: this is disputed by multiple parties because this is intended behavior in PyTorch distributed computing.PYSEC-2025-41 PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command EPYSEC-2023-300 Deserialization of Untrusted Data in GitHub repository huggingface/transformers prior to 4.36.PYSEC-2026-2290 A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an attacker-controlled model repository to execute arbitrary code during model initialization. The PYSEC-2024-109 DeepSpeed Remote Code Execution VulnerabilityPYSEC-2024-251 Pytorch before version v2.2.0 was discovered to contain a use-after-free vulnerability in torch/csrc/jit/mobile/interpreter.cpp.PYSEC-2024-252 PyTorch before v2.2.0 was discovered to contain a heap buffer overflow vulnerability in the component /runtime/vararg_functions.cpp. This vulnerability allows attackers to cause a Denial of Service (DPYSEC-2025-191 A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0+cu124. Affected by this issue is the function torch.mkldnn_max_pool2d. The manipulation leads to denial of servicePYSEC-2025-198 In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results.PYSEC-2025-203 An issue in the component torch.linalg.lu of pytorch v2.8.0 allows attackers to cause a Denial of Service (DoS) when performing a slice operation.PYSEC-2025-204 pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together.PYSEC-2025-205 A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS).PYSEC-2025-206 pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long().PYSEC-2025-207 A Name Error occurs in pytorch v2.7.0 when a PyTorch model consists of torch.cummin and is compiled by Inductor, leading to a Denial of Service (DoS).PYSEC-2025-208 A buffer overflow occurs in pytorch v2.7.0 when a PyTorch model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv() and is compiled by Inductor, leading to a PYSEC-2025-209 An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor.PYSEC-2026-139 A vulnerability was identified in PyTorch 2.10.0. The affected element is an unknown function of the component pt2 Loading Handler. The manipulation leads to deserialization. The attack can only be pePYSEC-2026-1970 PyTorch Improper Resource Shutdown or Release vulnerabilityPYSEC-2026-2286 PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch's `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.Code that can be exploited: injection, hardcoded credentials and similar.
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Packages that look intentionally malicious: typosquats, sneaky install scripts.
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A signal about how the project is maintained — not a vulnerability in your code. It doesn’t affect the verdict above.
Maintenance & supply-chain hygiene. A signal about the project, not a vulnerability in your code.
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