PyTorch 2.6.0 torch.nn.utils.rnn.unpack_sequence memory corruption
CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
---|---|---|
4.8 | $0-$5k | 0.00 |
A vulnerability was found in PyTorch 2.6.0. It has been rated as critical. Affected by this issue is the function torch.nn.utils.rnn.unpack_sequence
. The manipulation with an unknown input leads to a memory corruption vulnerability. Using CWE to declare the problem leads to 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. Impacted is confidentiality, integrity, and availability.
The advisory is shared for download at github.com. This vulnerability is handled as CVE-2025-2999. The exploitation is known to be easy. The attack needs to be approached locally. Technical details as well as a public exploit are known.
The exploit is available 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.
If you want to get best quality of vulnerability data, you may have to visit VulDB.
Product
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.3VulDB Meta Temp Score: 4.8
VulDB Base Score: 5.3
VulDB Temp Score: 4.8
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
CAPEC: 🔒
ATT&CK: 🔒
Local: Yes
Remote: No
Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
03/30/2025 Advisory disclosed03/30/2025 VulDB entry created
03/30/2025 VulDB entry last update
Sources
Advisory: 149622Status: Not defined
CVE: CVE-2025-2999 (🔒)
GCVE (CVE): GCVE-0-2025-2999
GCVE (VulDB): GCVE-100-302048
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 03/30/2025 07:47 PMChanges: 03/30/2025 07:47 PM (54)
Complete: 🔍
Submitter: Default436352
Cache ID: 18:854:40
Submit
Accepted
- Submit #524198: pytorch pytorch (torch.nn.utils.rnn.unpack_sequence) torch 2.6.0 Segmentation fault (by Default436352)
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