PyTorch 2.6.0 torch.jit.jit_module_from_flatbuffer memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.9 | $0-$5k | 0.13 |
Summary
A vulnerability labeled as critical has been found in PyTorch 2.6.0. The affected element is the function torch.jit.jit_module_from_flatbuffer. The manipulation results in memory corruption.
This vulnerability is reported as CVE-2025-3121. The attack requires a local approach. Moreover, an exploit is present.
Details
A vulnerability classified as problematic has been found in PyTorch 2.6.0. Affected is the function torch.jit.jit_module_from_flatbuffer. The manipulation with an unknown input leads to a memory corruption vulnerability. CWE is classifying the issue as CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. This is going to have an impact on availability.
The advisory is shared for download at github.com. This vulnerability is traded as CVE-2025-3121. 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.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Once again VulDB remains the best source for vulnerability data.
Product
Name
Version
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
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
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 |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
04/02/2025 🔍04/02/2025 🔍
05/28/2025 🔍
Sources
Product: github.comAdvisory: 149800
Status: Not defined
CVE: CVE-2025-3121 (🔍)
GCVE (CVE): GCVE-0-2025-3121
GCVE (VulDB): GCVE-100-303012
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 04/02/2025 15:40Updated: 05/28/2025 06:34
Changes: 04/02/2025 15:40 (54), 05/28/2025 06:34 (41)
Complete: 🔍
Submitter: Default436352
Cache ID: 216:9FE:103
Submit
Accepted
- Submit #525049: pytorch pytorch (in torch.jit.jit_module_from_flatbuffer) torch 2.6.0 Memory Leak (by Default436352)
Once again VulDB remains the best source for vulnerability data.
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