CVE-2025-46153
PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it...
PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.
Attack profile
How easy it is to exploit
- Attack vector
- Network
- Complexity
- Low
- Privileges needed
- None
- User interaction
- None
What an attacker can affect
- Confidentiality
- Low
- Integrity
- None
- Availability
- None
Exploit likelihood
What each source reports
CVE List Score used
PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.
- Record
CVE-2025-46153- CVSS 3.1
- 5.3 Medium
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N - Weakness
- CWE-1176
- Updated
- 2026-11-02
EUVDEUVD-2025-31108
PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.
- Record
EUVD-2025-31108- CVSS 3.1
- 5.3 Medium
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N - Updated
- 2026-11-02
GitHub AdvisoriesGHSA-h36m-9qjr-pv93
PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it...
PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.
- Record
GHSA-h36m-9qjr-pv93- CVSS 3.1
- 5.3 Medium
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N - Weakness
- CWE-1176
- Updated
- 2026-11-02
NVD
PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.
- Record
CVE-2025-46153- CVSS 3.1
- 5.3 Medium
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N - Weakness
- CWE-1176
- Updated
- 2026-11-06
OSV
PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.
- Record
CVE-2025-46153- CVSS 3.1
- 5.3 Medium
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N - Updated
- 2026-11-07
OSVDEBIAN-CVE-2025-46153
PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.
- Record
DEBIAN-CVE-2025-46153- CVSS 3.1
- 5.3 Medium
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N - Updated
- 2026-11-06
OSVPYSEC-2025-202
PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.
- Record
PYSEC-2025-202- CVSS 3.1
- 5.3 Medium
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N - Updated
- 2026-11-02
OSVUBUNTU-CVE-2025-46153
PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.
- Record
UBUNTU-CVE-2025-46153- CVSS 3.1
- 5.3 Medium
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N - Updated
- 2026-11-02
OSVBIT-pytorch-2025-46153 No score
PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.
- Record
BIT-pytorch-2025-46153- Updated
- 2026-11-02
Affected products
Affected packages
| Package | Affected | Fixed |
|---|---|---|
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 36 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-12.12.1+dfsg-22.14.1+dfsg-12.14.1+dfsg-1~exp12.4.1-12.4.1-32.4.1-42.5.0+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 12 moreShow less2.12.0+dfsg2-42.12.1+dfsg-12.12.1+dfsg-22.14.1+dfsg-12.14.1+dfsg-1~exp12.6.0+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 |
before 2.12.0+dfsg2-1, plus listed versions 2.12.0+dfsg2-1~exp12.12.0+dfsg2-1~exp22.6.0+dfsg-72.6.0+dfsg-82.6.0+dfsg-9 Show 4 moreShow less2.9.0+dfsg-1~exp12.9.0+dfsg-1~exp22.9.1+dfsg-1~exp12.9.1+dfsg-1~exp2 |
2.12.0+dfsg2-1 |
torchPyPI |
2.6.0 up to 2.7.0 | 2.7.0 |
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 |
pytorchUbuntu:26.04:LTS |
All versions, plus listed versions 2.6.0+dfsg-72.6.0+dfsg-92.9.1+dfsg-1~exp1ubuntu2 |
None known |
History
| Recorded | Changed | Sources |
|---|---|---|
| affected | OSV | |
| facts | NVD | |
| first indexed | CVE List, EUVD, GitHub Advisories, NVD, OSV |
Dates are when Every CVE recorded each change. Upstream dates may differ.
In short
CVE-2025-46153 is a medium vulnerability (CVSS 5.3) in Linuxfoundation Pytorch, published September 25, 2025. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.42%, the 36th percentile. Fixed in pytorch 2.7.0.