| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.4 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in PyTorch up to 2.6.x. Affected by this vulnerability is the function torch.compile. Performing a manipulation results in an unknown weakness.
This vulnerability is known as CVE-2025-46150. No exploit is available.
It is suggested to upgrade the affected component.
Details
A vulnerability, which was classified as problematic, was found in PyTorch up to 2.6.x. This is going to have an impact on integrity. The summary by CVE is:
In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2025-46150 since 04/22/2025. Technical details of the vulnerability are known, but there is no available exploit.
The vulnerability scanner Nessus provides a plugin with the ID 266101 (Linux Distros Unpatched Vulnerability : CVE-2025-46150), which helps to determine the existence of the flaw in a target environment.
Upgrading to version 2.7.0 eliminates this vulnerability. Applying a patch is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
The vulnerability is also documented in the databases at Tenable (266101) and CERT Bund (WID-SEC-2025-2139). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Affected
- Open Source PyTorch
Product
Name
Version
Website
- Product: https://github.com/pytorch/pytorch/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 3.5VulDB Meta Temp Score: 3.4
VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: UnknownCWE: Unknown
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Partially
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Nessus ID: 266101
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2025-46150
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: PyTorch 2.7.0
Patch: github.com
Timeline
04/22/2025 CVE reserved09/25/2025 Advisory disclosed
09/25/2025 VulDB entry created
09/30/2025 VulDB entry last update
Sources
Product: github.comAdvisory: 141538
Status: Confirmed
CVE: CVE-2025-46150 (🔒)
GCVE (CVE): GCVE-0-2025-46150
GCVE (VulDB): GCVE-100-325875
CERT Bund: WID-SEC-2025-2139 - PyTorch: Mehrere Schwachstellen
Entry
Created: 09/25/2025 17:55Updated: 09/30/2025 10:11
Changes: 09/25/2025 17:55 (54), 09/27/2025 06:14 (7), 09/30/2025 10:11 (2)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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