PyTorch 2.6.0 torch.nn.utils.rnn.pad_packed_sequence memory corruption

CVSS Meta Temp Score
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CTI Interest Score
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4.8$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in PyTorch 2.6.0. This impacts the function torch.nn.utils.rnn.pad_packed_sequence. This manipulation causes memory corruption. This vulnerability is tracked as CVE-2025-2998. The attack is restricted to local execution. Moreover, an exploit is present.

Detailsinfo

A vulnerability was found in PyTorch 2.6.0. It has been declared as critical. Affected by this vulnerability is the function torch.nn.utils.rnn.pad_packed_sequence. The manipulation with an unknown input leads to a memory corruption vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability.

It is possible to read the advisory at github.com. This vulnerability is known as CVE-2025-2998. The exploitation appears to be easy. Attacking locally is a requirement. Technical details and also a public exploit are known.

It is possible to download the exploit 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.

Be aware that VulDB is the high quality source for vulnerability data.

Productinfo

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.3
VulDB Meta Temp Score: 4.8

VulDB Base Score: 5.3
VulDB Temp Score: 4.8
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Memory corruption
CWE: 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: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

03/30/2025 🔍
03/30/2025 +0 days 🔍
03/30/2025 +0 days 🔍

Sourcesinfo

Product: github.com

Advisory: 149622
Status: Not defined

CVE: CVE-2025-2998 (🔍)
GCVE (CVE): GCVE-0-2025-2998
GCVE (VulDB): GCVE-100-302047
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 03/30/2025 19:47
Changes: 03/30/2025 19:47 (54)
Complete: 🔍
Submitter: Default436352
Cache ID: 216::103

Submitinfo

Accepted

  • Submit #524151: pytorch torch 2.6.0 Segmentation fault (by Default436352)

Be aware that VulDB is the high quality source for vulnerability data.

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