Technology · PyPI
torch (PyPI) vulnerabilities
Updated . Rebuilt every hour.
Junglewise Threat Intelligence has tracked 32 vulnerabilities in torch (PyPI): 0 in the last 7 days and 0 in the last 90 days, 0 of them critical and 0 exploited in the wild. The most recent, CVE-2025-3730, was published on 7 July 2026.
- Last 7 days
- 0
- Last 90 days
- 0
- Critical, all time
- 0
- Exploited in the wild
- 0
About torch (PyPI)
An open-source machine learning framework that provides a wide range of algorithms and tools for deep learning.
Latest torch (PyPI) vulnerabilities
- CVE-2025-3730: PYSEC-2026-1970 - PyTorch Improper Resource Shutdown or Release vulnerabilitylowCVSS 3.1EPSS 0.3%
- CVE-2026-4538: PYSEC-2026-139 - A vulnerability was identified in PyTorch 2.10.0. The affected element is an unknown function of the…lowCVSS 3.1EPSS 0.4%
- CVE-2026-24747: PyTorch arbitrary code execution in weights_only unpicklerhighCVSS 8.8EPSS 0.8%
- CVE-2025-63396: PyTorch denial of service in torch.profiler.profilelowCVSS 3.3EPSS 0.1%
- CVE-2025-55560: PYSEC-2025-209 - An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of…lowCVSS 3.1EPSS 0.4%
- CVE-2025-55558: PYSEC-2025-208 - A buffer overflow occurs in pytorch v2.7.0 when a PyTorch model consists of torch.nn.Conv2d…lowCVSS 3.1EPSS 0.4%
- CVE-2025-55557: PYSEC-2025-207 - A Name Error occurs in pytorch v2.7.0 when a PyTorch model consists of torch.cummin and is compiled…lowCVSS 3.1EPSS 0.4%
- CVE-2025-55554: PYSEC-2025-206 - pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long().lowCVSS 3.1EPSS 0.3%
- CVE-2025-55553: PYSEC-2025-205 - A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of…lowCVSS 3.1EPSS 0.4%
- CVE-2025-55552: PYSEC-2025-204 - pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and…lowCVSS 3.1EPSS 0.4%
- CVE-2025-55551: PYSEC-2025-203 - An issue in the component torch.linalg.lu of pytorch v2.8.0 allows attackers to cause a Denial of…lowCVSS 3.1EPSS 0.4%
- CVE-2025-46153: PYSEC-2025-202 - PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks…lowCVSS 3.1EPSS 0.4%
- CVE-2025-46152: PYSEC-2025-201 - In PyTorch before 2.7.0, bitwise_right_shift produces incorrect output for certain out-of-bounds values…lowCVSS 3.1EPSS 0.4%
- CVE-2025-46150: PYSEC-2025-200 - In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.lowCVSS 3.1EPSS 0.4%
- CVE-2025-46149: PYSEC-2025-199 - In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error.lowCVSS 3.1EPSS 0.4%
- CVE-2025-46148: PYSEC-2025-198 - In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistance(p=2) produces incorrect results.lowCVSS 3.1EPSS 0.4%
- CVE-2025-32434: PyTorch: `torch.load` with `weights_only=True` leads to remote code executionmediumCVSS 4EPSS 2.2%
- CVE-2025-3136: PYSEC-2025-197 - A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0. This issue…mediumCVSS 4EPSS 0.3%
- CVE-2025-3121: PYSEC-2025-196 - A vulnerability classified as problematic has been found in PyTorch 2.6.0. Affected is the function…lowCVSS 3.1EPSS 0.3%
- CVE-2025-3001: PyTorch memory corruption in torch.lstm_cellmediumCVSS 5.3EPSS 0.2%
- CVE-2025-3000: PyTorch memory corruption in torch.jit.scriptmediumCVSS 5.3EPSS 0.2%
- CVE-2025-2998: PyTorch memory corruption in pad_packed_sequencemediumCVSS 5.3EPSS 0.2%
- CVE-2025-2999: PyTorch memory corruption in unpack_sequence and pad_packed_sequencemediumCVSS 5.3EPSS 0.2%
- CVE-2025-2953: PyTorch denial of service in torch.mkldnn_max_pool2dlowCVSS 3.3EPSS 0.3%
- CVE-2024-7804: Withdrawn Advisory: PyTorch deserialization vulnerabilitylowCVSS 3
Most severe torch (PyPI) vulnerabilities
Exploited in the wild first, then by severity and CVSS score.
- CVE-2026-24747: PyTorch arbitrary code execution in weights_only unpicklerhighCVSS 8.8EPSS 0.8%
- CVE-2025-3001: PyTorch memory corruption in torch.lstm_cellmediumCVSS 5.3EPSS 0.2%
- CVE-2025-2999: PyTorch memory corruption in unpack_sequence and pad_packed_sequencemediumCVSS 5.3EPSS 0.2%
- CVE-2025-2998: PyTorch memory corruption in pad_packed_sequencemediumCVSS 5.3EPSS 0.2%
- CVE-2025-3000: PyTorch memory corruption in torch.jit.scriptmediumCVSS 5.3EPSS 0.2%
- CVE-2025-2148: PyTorch memory corruption in profiler Tuple HandlermediumCVSS 5EPSS 0.4%
- CVE-2025-32434: PyTorch: `torch.load` with `weights_only=True` leads to remote code executionmediumCVSS 4EPSS 2.2%
- CVE-2025-3136: PYSEC-2025-197 - A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0. This issue…mediumCVSS 4EPSS 0.3%
- CVE-2025-2149: PyTorch improper initialization in Quantized Sigmoid ModulemediumCVSS 4EPSS 0.3%
- CVE-2025-2953: PyTorch denial of service in torch.mkldnn_max_pool2dlowCVSS 3.3EPSS 0.3%
Vulnerabilities per week
Nothing was published in the last eight weeks. The last 13 weeks, by the week each vulnerability was published.
| Week of | Bar | Vulns | Critical |
|---|---|---|---|
| 17 Aug 2026 | 0 | 0 | |
| 24 Aug 2026 | 0 | 0 | |
| 31 Aug 2026 | 0 | 0 | |
| 7 Sep 2026 | 0 | 0 | |
| 14 Sep 2026 | 0 | 0 | |
| 21 Sep 2026 | 0 | 0 | |
| 28 Sep 2026 | 0 | 0 | |
| 5 Oct 2026 | 0 | 0 | |
| 12 Oct 2026 | 0 | 0 | |
| 19 Oct 2026 | 0 | 0 | |
| 26 Oct 2026 | 0 | 0 | |
| 2 Nov 2026 | 0 | 0 | |
| 9 Nov 2026 | 0 | 0 |
Embed a badge
A live badge for a README, a status page or an internal wiki: how many torch (PyPI) vulnerabilities were published in the last 7 days and how many of them are critical, refreshed hourly.
[](https://junglewise.ai/threats/technologies/torch)<a href="https://junglewise.ai/threats/technologies/torch"><img src="https://junglewise.ai/threats/technologies/torch/badge.svg" alt="torch (PyPI) vulnerabilities" /></a>How this is built
Junglewise Threat Intelligence collects vulnerabilities from NVD, GitHub Security Advisories, OSV, the CISA Known Exploited Vulnerabilities catalog, FIRST EPSS and vendor advisories, and matches each one to the technologies and vendors it affects. Dates are the date a vulnerability was published, in UTC.
The pages are rebuilt from the database every hour. Frozen weekly and monthly reports never change once published, so they can be cited.
Use this data
The same data is at https://junglewise.ai/threats/technologies/torch.json, and this page as text at https://junglewise.ai/threats/technologies/torch.md, for scripts and language models. It is free to reuse under CC BY 4.0 with a link back to this page.
Cite as: Junglewise Threat Intelligence, "torch (PyPI) vulnerabilities", https://junglewise.ai/threats/technologies/torch, 13 November 2026.