CVE-2025-2953
PyTorch torch.mkldnn_max_pool2d denial of service
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 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 security policy of the project warns to use unknown models which might establish malicious effects.
Attack profile
How easy it is to exploit
- Attack vector
- Local
- Complexity
- Low
- Privileges needed
- Low
- User interaction
- None
What an attacker can affect
- Confidentiality
- None
- Integrity
- None
- Availability
- Low
Exploit likelihood
What each source reports
CVE List Score used
PyTorch torch.mkldnn_max_pool2d denial of service
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 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 security policy of the project warns to use unknown models which might establish malicious effects.
- Record
CVE-2025-2953- CVSS 4.0
- 4.8 Medium
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 - CVSS 3.1
- 3.3 Low
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L - CVSS 3.0
- 3.3 Low
CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L - CVSS 2.0
- 1.7
AV:L/AC:L/Au:S/C:N/I:N/A:P - Weakness
- CWE-404
- Updated
- 2026-11-02
EUVDEUVD-2025-8684
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 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 security policy of the project warns to use unknown models which might establish malicious effects.
- Record
EUVD-2025-8684- CVSS 4.0
- 4.8 Medium
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 - Updated
- 2026-11-02
GitHub AdvisoriesGHSA-3749-ghw9-m3mg
PyTorch susceptible to local Denial of Service
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 service. An attack has to be approached locally. The exploit has been disclosed to the public and may be used.
- Record
GHSA-3749-ghw9-m3mg- CVSS 4.0
- 1.9 Low
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/E:P - CVSS 3.1
- 3.3 Low
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L - Weakness
- CWE-404
- Updated
- 2026-11-02
NVD
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 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 security policy of the project warns to use unknown models which might establish malicious effects.
- Record
CVE-2025-2953- CVSS 4.0
- 4.8 Medium
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/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X - CVSS 3.1
- 3.3 Low
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L - CVSS 3.1
- 5.5 Medium
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H - CVSS 2.0
- 1.7 Low
AV:L/AC:L/Au:S/C:N/I:N/A:P - Weakness
- CWE-404
- Updated
- 2026-11-02
OSVAZL-60913
CVE-2025-2953 affecting package pytorch for versions less than 2.2.2-7
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 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 security policy of the project warns to use unknown models which might establish malicious effects.
- Record
AZL-60913- CVSS 3.1
- 5.5 Medium
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H - Updated
- 2026-11-05
OSVAZL-60931
CVE-2025-2953 affecting package pytorch for versions less than 2.0.0-9
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 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 security policy of the project warns to use unknown models which might establish malicious effects.
- Record
AZL-60931- CVSS 3.1
- 5.5 Medium
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H - Updated
- 2026-11-02
Show 6 moreShow less
OSV
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 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 security policy of the project warns to use unknown models which might establish malicious effects.
- Record
CVE-2025-2953- CVSS 3.1
- 5.5 Medium
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H - Updated
- 2026-11-02
OSVDEBIAN-CVE-2025-2953
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 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 security policy of the project warns to use unknown models which might establish malicious effects.
- Record
DEBIAN-CVE-2025-2953- CVSS 3.1
- 5.5 Medium
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H - Updated
- 2026-11-02
OSVGHSA-3749-ghw9-m3mg
PyTorch susceptible to local Denial of Service
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 service. An attack has to be approached locally. The exploit has been disclosed to the public and may be used.
- Record
GHSA-3749-ghw9-m3mg- CVSS 4.0
- 1.9 Low
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/E:P - CVSS 3.1
- 3.3 Low
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L - Weakness
- CWE-404
- Updated
- 2026-11-02
OSVPYSEC-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 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 security policy of the project warns to use unknown models which might establish malicious effects.
- Record
PYSEC-2025-191- CVSS 3.1
- 5.5 Medium
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H - Updated
- 2026-11-02
OSVUBUNTU-CVE-2025-2953
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 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 security policy of the project warns to use unknown models which might establish malicious effects.
- Record
UBUNTU-CVE-2025-2953- CVSS 4.0
- 4.8 Medium
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 - CVSS 3.1
- 5.5 Medium
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H - CVSS 3.1
- 3.3 Low
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L - Updated
- 2026-11-06
OSVBIT-pytorch-2025-2953 No score
PyTorch torch.mkldnn_max_pool2d denial of service
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 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 security policy of the project warns to use unknown models which might establish malicious effects.
- Record
BIT-pytorch-2025-2953- Updated
- 2026-11-02
Affected products
Affected packages
| Package | Affected | Fixed |
|---|---|---|
torchPyPI |
before 2.7.1-rc1 | 2.7.1-rc1 |
pytorchAzure Linux:3 |
before 2.2.2-7 | 2.2.2-7 |
pytorchAzure Linux:2 |
before 2.0.0-9 | 2.0.0-9 |
pytorchBitnami |
2.6.0 up to 2.7.0 | 2.7.0 |
pytorchDebian:12 |
All versions, plus listed versions 1.13.1+dfsg-41.13.1+dfsg-52.0.1+dfsg-12.0.1+dfsg-1~exp12.0.1+dfsg-2 Show 33 moreShow less2.0.1+dfsg-42.0.1+dfsg-52.1.2+dfsg-12.1.2+dfsg-22.1.2+dfsg-42.12.0+dfsg2-12.12.0+dfsg2-1~exp12.12.0+dfsg2-1~exp22.12.0+dfsg2-22.12.0+dfsg2-32.12.0+dfsg2-42.12.1+dfsg-12.4.1-12.4.1-32.4.1-42.5.0+dfsg-12.5.1+dfsg-12.5.1+dfsg-32.5.1+dfsg-42.6.0+dfsg-12.6.0+dfsg-1~exp12.6.0+dfsg-22.6.0+dfsg-32.6.0+dfsg-42.6.0+dfsg-52.6.0+dfsg-72.6.0+dfsg-82.6.0+dfsg-92.6.0~rc9+dfsg-1~exp12.9.0+dfsg-1~exp12.9.0+dfsg-1~exp22.9.1+dfsg-1~exp12.9.1+dfsg-1~exp2 |
None known |
pytorchDebian:13 |
All versions, plus listed versions 2.12.0+dfsg2-12.12.0+dfsg2-1~exp12.12.0+dfsg2-1~exp22.12.0+dfsg2-22.12.0+dfsg2-3 Show 9 moreShow less2.12.0+dfsg2-42.12.1+dfsg-12.6.0+dfsg-72.6.0+dfsg-82.6.0+dfsg-92.9.0+dfsg-1~exp12.9.0+dfsg-1~exp22.9.1+dfsg-1~exp12.9.1+dfsg-1~exp2 |
None known |
pytorchDebian:14 |
All versions, plus listed versions 2.12.0+dfsg2-12.12.0+dfsg2-1~exp12.12.0+dfsg2-1~exp22.12.0+dfsg2-22.12.0+dfsg2-3 Show 9 moreShow less2.12.0+dfsg2-42.12.1+dfsg-12.6.0+dfsg-72.6.0+dfsg-82.6.0+dfsg-92.9.0+dfsg-1~exp12.9.0+dfsg-1~exp22.9.1+dfsg-1~exp12.9.1+dfsg-1~exp2 |
None known |
torchPyPI |
before 2.7.1-rc1, plus listed versions 1.0.01.0.11.1.01.10.01.10.1 Show 35 moreShow less1.10.21.11.01.12.01.12.11.13.01.13.11.2.01.3.01.3.11.4.01.5.01.5.11.6.01.7.01.7.11.8.01.8.11.9.01.9.12.0.02.0.12.1.02.1.12.1.22.2.02.2.12.2.22.3.02.3.12.4.02.4.12.5.02.5.12.6.02.7.0 |
2.7.1-rc1 |
torchPyPI |
through 2.6.0+cu124, plus listed versions 1.0.01.0.11.1.01.10.01.10.1 Show 34 moreShow less1.10.21.11.01.12.01.12.11.13.01.13.11.2.01.3.01.3.11.4.01.5.01.5.11.6.01.7.01.7.11.8.01.8.11.9.01.9.12.0.02.0.12.1.02.1.12.1.22.2.02.2.12.2.22.3.02.3.12.4.02.4.12.5.02.5.12.6.0 |
None known |
pytorchUbuntu:22.04:LTS |
All versions, plus listed versions 1.7.1-71.8.1-4 |
None known |
pytorchUbuntu:25.10 |
All versions, plus listed versions 2.6.0+dfsg-5build12.6.0+dfsg-7 |
None known |
pytorchUbuntu:26.10 |
All versions, plus listed versions 2.9.1+dfsg-1~exp1ubuntu22.12.1+dfsg-1 |
None known |
History
| Recorded | Changed | Sources |
|---|---|---|
| affected | OSV | |
| facts | OSV | |
| first indexed | CVE List, EUVD, GitHub Advisories, NVD, OSV |
Dates are when Every CVE recorded each change. Upstream dates may differ.
In short
CVE-2025-2953 is a medium vulnerability (CVSS 4.8) in Linuxfoundation Pytorch, published March 30, 2025. Its validity is disputed. EPSS puts the chance of exploitation in the next 30 days at 0.26%, the 17th percentile. Fixed in torch 2.7.1-rc1.