# Pytorch vulnerabilities

Source: https://junglewise.ai/threats/technologies/pytorch  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Updated: 9 November 2026, 03:07 UTC. Rebuilt every hour.  
Data: https://junglewise.ai/threats/technologies/pytorch.json  
License: CC BY 4.0 with a link back

Junglewise Threat Intelligence has tracked 8 vulnerabilities in Pytorch: 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-2026-24747, was published on 27 January 2026.

## Counts

- Last 7 days: 0
- Last 30 days: 0
- Last 90 days: 0
- All time: 8 (0 critical, 0 exploited in the wild)

## About Pytorch

An open source machine learning framework that accelerates the path from research prototyping to production deployment.

## Latest Pytorch vulnerabilities

- [CVE-2026-24747: PyTorch arbitrary code execution in weights_only unpickler](https://junglewise.ai/threats/cve-2026-24747-pytorch-arbitrary-code-execution-in-weights-only-unpickler) (high, CVSS 8.8, published 27 Jan 2026)
- [CVE-2025-3001: PyTorch memory corruption in torch.lstm_cell](https://junglewise.ai/threats/cve-2025-3001-pytorch-memory-corruption-in-torch-lstm-cell) (medium, CVSS 5.3, published 31 Mar 2025)
- [CVE-2025-2998: PyTorch memory corruption in pad_packed_sequence](https://junglewise.ai/threats/cve-2025-2998-pytorch-memory-corruption-in-pad-packed-sequence) (medium, CVSS 5.3, published 31 Mar 2025)
- [CVE-2025-3000: PyTorch memory corruption in torch.jit.script](https://junglewise.ai/threats/cve-2025-3000-pytorch-memory-corruption-in-torch-jit-script) (medium, CVSS 5.3, published 31 Mar 2025)
- [CVE-2025-2999: PyTorch memory corruption in unpack_sequence and pad_packed_sequence](https://junglewise.ai/threats/cve-2025-2999-pytorch-memory-corruption-in-unpack-sequence-and-pad-packed) (medium, CVSS 5.3, published 31 Mar 2025)
- [CVE-2025-2953: PyTorch denial of service in torch.mkldnn_max_pool2d](https://junglewise.ai/threats/cve-2025-2953-pytorch-denial-of-service-in-torch-mkldnn-max-pool2d) (low, CVSS 3.3, published 30 Mar 2025)
- [CVE-2025-2149: PyTorch improper initialization in Quantized Sigmoid Module](https://junglewise.ai/threats/cve-2025-2149-pytorch-improper-initialization-in-quantized-sigmoid-module) (medium, CVSS 4, published 10 Mar 2025)
- [CVE-2025-2148: PyTorch memory corruption in profiler Tuple Handler](https://junglewise.ai/threats/cve-2025-2148-pytorch-memory-corruption-in-profiler-tuple-handler) (medium, CVSS 5, published 10 Mar 2025)

## Most severe Pytorch vulnerabilities

- [CVE-2026-24747: PyTorch arbitrary code execution in weights_only unpickler](https://junglewise.ai/threats/cve-2026-24747-pytorch-arbitrary-code-execution-in-weights-only-unpickler) (high, CVSS 8.8, published 27 Jan 2026)
- [CVE-2025-3001: PyTorch memory corruption in torch.lstm_cell](https://junglewise.ai/threats/cve-2025-3001-pytorch-memory-corruption-in-torch-lstm-cell) (medium, CVSS 5.3, published 31 Mar 2025)
- [CVE-2025-2998: PyTorch memory corruption in pad_packed_sequence](https://junglewise.ai/threats/cve-2025-2998-pytorch-memory-corruption-in-pad-packed-sequence) (medium, CVSS 5.3, published 31 Mar 2025)
- [CVE-2025-3000: PyTorch memory corruption in torch.jit.script](https://junglewise.ai/threats/cve-2025-3000-pytorch-memory-corruption-in-torch-jit-script) (medium, CVSS 5.3, published 31 Mar 2025)
- [CVE-2025-2999: PyTorch memory corruption in unpack_sequence and pad_packed_sequence](https://junglewise.ai/threats/cve-2025-2999-pytorch-memory-corruption-in-unpack-sequence-and-pad-packed) (medium, CVSS 5.3, published 31 Mar 2025)
- [CVE-2025-2148: PyTorch memory corruption in profiler Tuple Handler](https://junglewise.ai/threats/cve-2025-2148-pytorch-memory-corruption-in-profiler-tuple-handler) (medium, CVSS 5, published 10 Mar 2025)
- [CVE-2025-2149: PyTorch improper initialization in Quantized Sigmoid Module](https://junglewise.ai/threats/cve-2025-2149-pytorch-improper-initialization-in-quantized-sigmoid-module) (medium, CVSS 4, published 10 Mar 2025)
- [CVE-2025-2953: PyTorch denial of service in torch.mkldnn_max_pool2d](https://junglewise.ai/threats/cve-2025-2953-pytorch-denial-of-service-in-torch-mkldnn-max-pool2d) (low, CVSS 3.3, published 30 Mar 2025)

## Vulnerabilities per week

Nothing was published in the last eight weeks.

| Week of | Vulns | Critical | Exploited |
| --- | --- | --- | --- |
| 17 Aug 2026 | 0 | 0 | 0 |
| 24 Aug 2026 | 0 | 0 | 0 |
| 31 Aug 2026 | 0 | 0 | 0 |
| 7 Sep 2026 | 0 | 0 | 0 |
| 14 Sep 2026 | 0 | 0 | 0 |
| 21 Sep 2026 | 0 | 0 | 0 |
| 28 Sep 2026 | 0 | 0 | 0 |
| 5 Oct 2026 | 0 | 0 | 0 |
| 12 Oct 2026 | 0 | 0 | 0 |
| 19 Oct 2026 | 0 | 0 | 0 |
| 26 Oct 2026 | 0 | 0 | 0 |
| 2 Nov 2026 | 0 | 0 | 0 |
| 9 Nov 2026 | 0 | 0 | 0 |

## Sources

NVD, GitHub Security Advisories, OSV, the CISA Known Exploited Vulnerabilities catalog, FIRST EPSS and vendor advisories. Rebuilt every hour. Cite as: Junglewise Threat Intelligence, "Pytorch vulnerabilities", https://junglewise.ai/threats/technologies/pytorch, 9 November 2026.