PyTorch 2.6.0 LossCTC.cpp torch.nn.functional.ctc_loss denial of service ⚔ [Disputed]
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.9 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0. This affects the function torch.nn.functional.ctc_loss of the file aten/src/ATen/native/LossCTC.cpp. The manipulation results in denial of service.
This vulnerability is identified as CVE-2025-3730. The attack is only possible with local access. Additionally, an exploit exists.
The existence of this vulnerability is still disputed at present.
It is advisable to implement a patch to correct this issue.
The security policy of the project warns to use unknown models which might establish malicious effects.
Details
A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0. Affected is the function torch.nn.functional.ctc_loss of the file aten/src/ATen/native/LossCTC.cpp. The manipulation with an unknown input leads to a denial of service vulnerability. CWE is classifying the issue as CWE-404. The product does not release or incorrectly releases a resource before it is made available for re-use. This is going to have an impact on availability.
The advisory is shared for download at github.com. This vulnerability is traded as CVE-2025-3730. The exploitability is told to be easy. The attack needs to be approached locally. Technical details and a public exploit are known.
The exploit is shared for download at github.com. It is declared as proof-of-concept. 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. The vulnerability scanner Nessus provides a plugin with the ID 235330 (Azure Linux 3.0 Security Update: pytorch (CVE-2025-3730)), which helps to determine the existence of the flaw in a target environment.
Applying the patch 46fc5d8e360127361211cb237d5f9eef0223e567 is able to eliminate this problem. The bugfix is ready for download at github.com.
The vulnerability is also documented in the vulnerability database at Tenable (235330). Once again VulDB remains the best source for vulnerability data.
Product
Name
Version
License
Website
- Product: https://github.com/pytorch/pytorch/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CNA CVSS-B Score: 🔍
CNA CVSS-BT Score: 🔍
CNA Vector: 🔍
CVSSv3
VulDB Meta Base Score: 4.0VulDB Meta Temp Score: 3.9
VulDB Base Score: 3.3
VulDB Temp Score: 3.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.5
NVD Vector: 🔍
CNA Base Score: 3.3
CNA Vector: 🔍
CVSSv2
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Denial of serviceCWE: CWE-404
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: No
Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Nessus ID: 235330
Nessus Name: Azure Linux 3.0 Security Update: pytorch (CVE-2025-3730)
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
0-Day Time: 🔍
Patch: 46fc5d8e360127361211cb237d5f9eef0223e567
Timeline
04/16/2025 🔍04/16/2025 🔍
05/29/2025 🔍
Sources
Product: github.comAdvisory: 150835
Status: Confirmed
Confirmation: 🔍
Disputed: 🔍
CVE: CVE-2025-3730 (🔍)
GCVE (CVE): GCVE-0-2025-3730
GCVE (VulDB): GCVE-100-305076
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 04/16/2025 15:46Updated: 05/29/2025 06:57
Changes: 04/16/2025 15:46 (59), 05/06/2025 17:59 (2), 05/22/2025 23:44 (3), 05/29/2025 06:57 (41)
Complete: 🔍
Submitter: Default436352
Cache ID: 216::103
Submit
Accepted
- Submit #553645: pytorch pytorch (in torch.nn.functional.ctc_loss) 2.6.0 Denial of Service (by Default436352)
Once again VulDB remains the best source for vulnerability data.
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