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There is a release checker in [issue #89855](https://github.com/pytorch/pytorch/issues/89855).","origin":"UNSPECIFIED","severity":"CRITICAL","published_at":"2022-11-26T03:30:27.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":9.3,"cvss_vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N","references":["https://nvd.nist.gov/vuln/detail/CVE-2022-45907","https://github.com/pytorch/pytorch/issues/88868","https://github.com/pytorch/pytorch/commit/767f6aa49fe20a2766b9843d01e3b7f7793df6a3","https://github.com/pytorch/pytorch/issues/89855","https://github.com/pytorch/pytorch/pull/89189","https://github.com/pytorch/pytorch/releases/tag/v1.13.1","https://github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2022-43015.yaml","https://github.com/advisories/GHSA-47fc-vmwq-366v"],"source_kind":"github","identifiers":["GHSA-47fc-vmwq-366v","CVE-2022-45907"],"repository_url":"https://github.com/pytorch/pytorch","blast_radius":46.1655529042499,"created_at":"2022-12-21T16:11:47.386Z","updated_at":"2024-11-13T22:52:23.000Z","epss_percentage":0.00285,"epss_percentile":0.51501,"packages":[{"ecosystem":"pypi","package_name":"torch","versions":[{"first_patched_version":"1.13.1","vulnerable_version_range":"\u003c= 1.13.0"}],"purl":"pkg:pypi/torch","statistics":{"dependent_packages_count":6944,"dependent_repos_count":92053,"downloads":63628452,"downloads_period":"last-month"},"affected_versions":["1.0.0","1.0.1","1.1.0","1.2.0","1.3.0","1.3.1","1.4.0","1.5.0","1.5.1","1.6.0","1.7.0","1.7.1","1.8.0","1.8.1","1.9.0","1.9.1","1.10.0","1.10.1","1.10.2","1.11.0","1.12.0","1.12.1","1.13.0"],"unaffected_versions":["1.13.1","2.0.0","2.0.1","2.1.0","2.1.1","2.1.2","2.2.0","2.2.1","2.2.2","2.3.0","2.3.1","2.4.0","2.4.1","2.5.0","2.5.1","2.6.0","2.7.0","2.7.1","2.8.0"]}]},{"uuid":"GSA_kwCzR0hTQS1wZzdoLTVxeDMtd2pyM84AA7KD","url":"https://github.com/advisories/GHSA-pg7h-5qx3-wjr3","title":"Pytorch use-after-free vulnerability","description":"Pytorch before version v2.2.0 was discovered to contain a use-after-free vulnerability in torch/csrc/jit/mobile/interpreter.cpp.","origin":"UNSPECIFIED","severity":"HIGH","published_at":"2024-04-17T21:30:48.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":0.0,"cvss_vector":null,"references":["https://nvd.nist.gov/vuln/detail/CVE-2024-31583","https://github.com/pytorch/pytorch/commit/9c7071b0e324f9fb68ab881283d6b8d388a4bcd2","https://gist.github.com/1047524396/43e19a41f2b36503a4a228c32cdbc176","https://github.com/pytorch/pytorch/blob/v2.1.2/torch/csrc/jit/mobile/interpreter.cpp#L132","https://security.snyk.io/vuln/SNYK-PYTHON-TORCH-6619806","https://github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2024-251.yaml","https://github.com/advisories/GHSA-pg7h-5qx3-wjr3"],"source_kind":"github","identifiers":["GHSA-pg7h-5qx3-wjr3","CVE-2024-31583"],"repository_url":"https://github.com/pytorch/pytorch","blast_radius":0.0,"created_at":"2024-07-25T11:05:47.154Z","updated_at":"2025-06-10T14:52:03.000Z","epss_percentage":0.00059,"epss_percentile":0.18485,"packages":[{"ecosystem":"pypi","package_name":"torch","versions":[{"first_patched_version":"2.2.0","vulnerable_version_range":"\u003c 2.2.0"}],"purl":"pkg:pypi/torch","statistics":{"dependent_packages_count":6944,"dependent_repos_count":92053,"downloads":63628452,"downloads_period":"last-month"},"affected_versions":["1.0.0","1.0.1","1.1.0","1.2.0","1.3.0","1.3.1","1.4.0","1.5.0","1.5.1","1.6.0","1.7.0","1.7.1","1.8.0","1.8.1","1.9.0","1.9.1","1.10.0","1.10.1","1.10.2","1.11.0","1.12.0","1.12.1","1.13.0","1.13.1","2.0.0","2.0.1","2.1.0","2.1.1","2.1.2"],"unaffected_versions":["2.2.0","2.2.1","2.2.2","2.3.0","2.3.1","2.4.0","2.4.1","2.5.0","2.5.1","2.6.0","2.7.0","2.7.1","2.8.0"]}]},{"uuid":"GSA_kwCzR0hTQS04ODdjLW1yODctY3h3cM4ABG67","url":"https://github.com/advisories/GHSA-887c-mr87-cxwp","title":"PyTorch Improper Resource Shutdown or Release vulnerability","description":"A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0. Affected is the function torch.nn.functional.ctc_loss of the file aten/src/ATen/native/LossCTC.cpp. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed to the public and may be used. The name of the patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue.","origin":"UNSPECIFIED","severity":"MODERATE","published_at":"2025-04-16T21:30:59.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":4.8,"cvss_vector":"CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N","references":["https://nvd.nist.gov/vuln/detail/CVE-2025-3730","https://github.com/pytorch/pytorch/issues/150835","https://github.com/pytorch/pytorch/pull/150981","https://vuldb.com/?ctiid.305076","https://vuldb.com/?id.305076","https://vuldb.com/?submit.553645","https://github.com/pytorch/pytorch/commit/01f226bfb8f2c343f5c614a6bbf685d91160f3af","https://github.com/timocafe/tewart-pytorch/commit/46fc5d8e360127361211cb237d5f9eef0223e567","https://github.com/advisories/GHSA-887c-mr87-cxwp"],"source_kind":"github","identifiers":["GHSA-887c-mr87-cxwp","CVE-2025-3730"],"repository_url":"https://github.com/pytorch/pytorch","blast_radius":23.82738214412898,"created_at":"2025-04-16T22:08:12.557Z","updated_at":"2025-09-02T15:23:02.000Z","epss_percentage":0.0006,"epss_percentile":0.18936,"packages":[{"ecosystem":"pypi","package_name":"torch","versions":[{"first_patched_version":"2.8.0","vulnerable_version_range":"\u003c= 2.7.1"}],"purl":"pkg:pypi/torch","statistics":{"dependent_packages_count":6944,"dependent_repos_count":92053,"downloads":63628452,"downloads_period":"last-month"},"affected_versions":["1.0.0","1.0.1","1.1.0","1.2.0","1.3.0","1.3.1","1.4.0","1.5.0","1.5.1","1.6.0","1.7.0","1.7.1","1.8.0","1.8.1","1.9.0","1.9.1","1.10.0","1.10.1","1.10.2","1.11.0","1.12.0","1.12.1","1.13.0","1.13.1","2.0.0","2.0.1","2.1.0","2.1.1","2.1.2","2.2.0","2.2.1","2.2.2","2.3.0","2.3.1","2.4.0","2.4.1","2.5.0","2.5.1","2.6.0","2.7.0","2.7.1"],"unaffected_versions":["2.8.0"]}]},{"uuid":"GSA_kwCzR0hTQS00dm1nLXJ3OGYtOTJmOc4ABFuI","url":"https://github.com/advisories/GHSA-4vmg-rw8f-92f9","title":"Withdrawn Advisory: PyTorch deserialization vulnerability","description":"## Withdrawn Advisory\nThis advisory has been withdrawn because it describes known functionality of PyTorch. This link is maintained to preserve external references.\n\n## Original Description\nA deserialization vulnerability exists in the Pytorch RPC framework (torch.distributed.rpc) in pytorch/pytorch versions \u003c=2.3.1. The vulnerability arises from the lack of security verification during the deserialization process of PythonUDF objects in pytorch/torch/distributed/rpc/internal.py. This flaw allows an attacker to execute arbitrary code remotely by sending a malicious serialized PythonUDF object, leading to remote code execution (RCE) on the master node.","origin":"UNSPECIFIED","severity":"CRITICAL","published_at":"2025-03-20T12:32:46.000Z","withdrawn_at":"2025-04-02T13:31:15.000Z","classification":"GENERAL","cvss_score":0.0,"cvss_vector":null,"references":["https://nvd.nist.gov/vuln/detail/CVE-2024-7804","https://huntr.com/bounties/0e870eeb-f924-4054-8fac-d926b1fb7259","https://github.com/pytorch/pytorch/blob/27a14405d3b996d572ba18339410e29ec005c775/torch/distributed/rpc/internal.py#L162","https://github.com/advisories/GHSA-4vmg-rw8f-92f9"],"source_kind":"github","identifiers":["GHSA-4vmg-rw8f-92f9","CVE-2024-7804"],"repository_url":"https://github.com/pytorch/pytorch","blast_radius":0.0,"created_at":"2025-03-21T22:08:08.352Z","updated_at":"2025-04-02T13:31:16.000Z","epss_percentage":0.00277,"epss_percentile":0.48178,"packages":[{"ecosystem":"pypi","package_name":"torch","versions":[{"first_patched_version":null,"vulnerable_version_range":"\u003c= 2.3.1"}],"purl":"pkg:pypi/torch","statistics":{"dependent_packages_count":6944,"dependent_repos_count":92053,"downloads":63628452,"downloads_period":"last-month"},"affected_versions":["1.0.0","1.0.1","1.1.0","1.2.0","1.3.0","1.3.1","1.4.0","1.5.0","1.5.1","1.6.0","1.7.0","1.7.1","1.8.0","1.8.1","1.9.0","1.9.1","1.10.0","1.10.1","1.10.2","1.11.0","1.12.0","1.12.1","1.13.0","1.13.1","2.0.0","2.0.1","2.1.0","2.1.1","2.1.2","2.2.0","2.2.1","2.2.2","2.3.0","2.3.1"],"unaffected_versions":["2.4.0","2.4.1","2.5.0","2.5.1","2.6.0","2.7.0","2.7.1","2.8.0"]}]},{"uuid":"GSA_kwCzR0hTQS01cGNtLWh4M3EtaG05NM4AA7KE","url":"https://github.com/advisories/GHSA-5pcm-hx3q-hm94","title":"PyTorch heap buffer overflow vulnerability","description":"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 (DoS) via a crafted input.","origin":"UNSPECIFIED","severity":"HIGH","published_at":"2024-04-17T21:30:48.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":8.7,"cvss_vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N","references":["https://nvd.nist.gov/vuln/detail/CVE-2024-31580","https://github.com/pytorch/pytorch/commit/b5c3a17c2c207ebefcb85043f0cf94be9b2fef81","https://gist.github.com/1047524396/038c78f2f007345e6f497698ace2aa3d","https://security.snyk.io/vuln/SNYK-PYTHON-TORCH-6649934","https://github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2024-252.yaml","https://github.com/advisories/GHSA-5pcm-hx3q-hm94"],"source_kind":"github","identifiers":["GHSA-5pcm-hx3q-hm94","CVE-2024-31580"],"repository_url":"https://github.com/pytorch/pytorch","blast_radius":43.18713013623377,"created_at":"2024-07-25T11:05:46.696Z","updated_at":"2025-06-11T13:39:31.000Z","epss_percentage":0.00029,"epss_percentile":0.06277,"packages":[{"ecosystem":"pypi","package_name":"torch","versions":[{"first_patched_version":"2.2.0","vulnerable_version_range":"\u003c 2.2.0"}],"purl":"pkg:pypi/torch","statistics":{"dependent_packages_count":6944,"dependent_repos_count":92053,"downloads":63628452,"downloads_period":"last-month"},"affected_versions":["1.0.0","1.0.1","1.1.0","1.2.0","1.3.0","1.3.1","1.4.0","1.5.0","1.5.1","1.6.0","1.7.0","1.7.1","1.8.0","1.8.1","1.9.0","1.9.1","1.10.0","1.10.1","1.10.2","1.11.0","1.12.0","1.12.1","1.13.0","1.13.1","2.0.0","2.0.1","2.1.0","2.1.1","2.1.2"],"unaffected_versions":["2.2.0","2.2.1","2.2.2","2.3.0","2.3.1","2.4.0","2.4.1","2.5.0","2.5.1","2.6.0","2.7.0","2.7.1","2.8.0"]}]},{"uuid":"GSA_kwCzR0hTQS01M3E5LXIzcG0tNnBxNs4ABHBV","url":"https://github.com/advisories/GHSA-53q9-r3pm-6pq6","title":"PyTorch: `torch.load` with `weights_only=True` leads to remote code execution","description":"# Description\nI found a Remote Command Execution (RCE) vulnerability in PyTorch. When loading model using torch.load with weights_only=True, it can still achieve RCE.  \n\n# Background knowledge\nhttps://github.com/pytorch/pytorch/security \n As you can see, the PyTorch official documentation considers using `torch.load()` with `weights_only=True` to be safe.\n![image](https://github.com/user-attachments/assets/fdaa8520-d66a-473a-ab1f-163d793de298)\nSince everyone knows that weights_only=False is unsafe, so they will use the  weights_only=True to mitigate the seucirty issue.\nBut now, I just proved that even if you use weights_only=True, it can still achieve RCE.\n\n# Credit\nThis vulnerability was found by Ji'an Zhou.","origin":"UNSPECIFIED","severity":"CRITICAL","published_at":"2025-04-18T15:19:28.000Z","withdrawn_at":null,"classification":"GENERAL","cvss_score":9.3,"cvss_vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N","references":["https://github.com/pytorch/pytorch/security/advisories/GHSA-53q9-r3pm-6pq6","https://github.com/pytorch/pytorch/commit/8d4b8a920a2172523deb95bf20e8e52d50649c04","https://nvd.nist.gov/vuln/detail/CVE-2025-32434","https://github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2025-41.yaml","https://github.com/advisories/GHSA-53q9-r3pm-6pq6"],"source_kind":"github","identifiers":["GHSA-53q9-r3pm-6pq6","CVE-2025-32434"],"repository_url":"https://github.com/pytorch/pytorch","blast_radius":46.1655529042499,"created_at":"2025-04-18T16:08:09.166Z","updated_at":"2025-08-29T19:45:47.000Z","epss_percentage":0.00432,"epss_percentile":0.6177,"packages":[{"ecosystem":"pypi","package_name":"torch","versions":[{"first_patched_version":"2.6.0","vulnerable_version_range":"\u003c 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