CVE-2025-3730
mediumPriorität · verfolgen · 22EPSS 0.003 · 26. PerzentilDEEUUSEPSS · bewertet 2026-10-27
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 real existence of this vulnerability is still doubted at the moment. The name of the patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue. The security policy of the project warns to use unknown models which might establish malicious effects.
cvss
Technischer Schweregrad, 0–10. Eine Zeile je Quelle.
Basiswert 0–10 · höher = schwerwiegender · Vektor überfahren zum Auflösen⚠ Quellen uneinig · low–medium · 1.1–5.5
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betroffene Produkte (8)
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Hersteller- und Ökosystem-Meldungen dazu.
- WID-SEC-W-2025-0839PyTorch: Schwachstelle ermöglicht Denial of ServiceDeutsch2025-04-16csaf · cert_bundDE
Ein lokaler Angreifer kann eine Schwachstelle in PyTorch ausnutzen, um einen Denial of Service Angriff durchzuführen.
- GHSA-887c-mr87-cxwpPyTorch Improper Resource Shutdown or Release vulnerability2025-04-16ghsa · osvUS
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.
- BIT-pytorch-2025-3730PyTorch LossCTC.cpp torch.nn.functional.ctc_loss denial of service2025-05-29vendor · osvUS
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 real existence of this vulnerability is still doubted at the moment. The name of the patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue. The security policy of the project warns to use unknown models which might establish malicious effects.
- PYSEC-2026-1970PyTorch Improper Resource Shutdown or Release vulnerability2026-07-07vendor · osvUS
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.
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Referenzen (21)
Externe Belege — Patches, Meldungen, Analysen.
- https://github.com/pytorch/pytorch/issues/150835#issue-2979082232cnnvd
- https://github.com/pytorch/pytorch/pull/150981cnnvd
- https://github.com/timocafe/tewart-pytorch/commit/46fc5d8e360127361211cb237d5f9eef0223e567cnnvd
- https://pytorch.org/Patchcnnvd
- https://vuldb.com/?ctiid.305076cnnvd
- https://vuldb.com/?id.305076cnnvd
- https://vuldb.com/?submit.553645cnnvd
- https://github.com/pytorch/pytorch/issues/150835enisa_euvd
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