VDB-307394 · CVE-2025-4287 · Issue 150836

PyTorch 2.6.0+cu124 torch/cuda/nccl.py torch.cuda.nccl.reduce denial of service

CVSS Meta Temp Score CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.	Current Exploit Price (≈) Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.	CTI Interest Score Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
3.0	$0-$5k	0.28

Summaryinfo

A vulnerability labeled as problematic has been found in PyTorch 2.6.0+cu124. Affected is the function torch.cuda.nccl.reduce of the file torch/cuda/nccl.py. Such manipulation leads to denial of service. This vulnerability is traded as CVE-2025-4287. An attack has to be approached locally. Furthermore, there is an exploit available. A patch should be applied to remediate this issue.

Detailsinfo

A vulnerability was found in PyTorch 2.6.0+cu124. It has been rated as problematic. Affected by this issue is the function torch.cuda.nccl.reduce of the file torch/cuda/nccl.py. The manipulation with an unknown input leads to a denial of service vulnerability. Using CWE to declare the problem leads to CWE-404. The product does not release or incorrectly releases a resource before it is made available for re-use. Impacted is availability.

The advisory is available at github.com. This vulnerability is handled as CVE-2025-4287. The exploitation is known to be easy. Local access is required to approach this attack. Technical details as well as a public exploit are known.

The exploit is available at github.com. It is declared as proof-of-concept.

Applying the patch 5827d2061dcb4acd05ac5f8e65d8693a481ba0f5 is able to eliminate this problem. The bugfix is ready for download at github.com.

If you want to get best quality of vulnerability data, you may have to visit VulDB.

Productinfo

Name

PyTorch

Version

2.6.0+cu124

License

open-source

Website

Product: https://github.com/pytorch/pytorch/

CPE 2.3info

🔒

CPE 2.2info

🔒

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.3
VulDB Meta Temp Score: 3.0

VulDB Base Score: 3.3
VulDB Temp Score: 3.0
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

AV	AC	Au	C	I	A
💳	💳	💳	💳	💳	💳
💳	💳	💳	💳	💳	💳
💳	💳	💳	💳	💳	💳

Vector	Complexity	Authentication	Confidentiality	Integrity	Availability
Unlock	Unlock	Unlock	Unlock	Unlock	Unlock
Unlock	Unlock	Unlock	Unlock	Unlock	Unlock
Unlock	Unlock	Unlock	Unlock	Unlock	Unlock

VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Denial of service
CWE: 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
Today	Unlock	Unlock	Unlock	Unlock

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Patch
Status: 🔍

0-Day Time: 🔒

Patch: 5827d2061dcb4acd05ac5f8e65d8693a481ba0f5

Timelineinfo

05/05/2025 Advisory disclosed
05/05/2025 +0 days VulDB entry created
05/05/2025 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: 150836
Status: Confirmed
Confirmation: 🔒

CVE: CVE-2025-4287 (🔒)
GCVE (CVE): GCVE-0-2025-4287
GCVE (VulDB): GCVE-100-307394
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 05/05/2025 13:58
Changes: 05/05/2025 13:58 (59)
Complete: 🔍
Submitter: Default436352
Cache ID: 216:033:103

Submitinfo

Accepted

Submit #553644: pytorch pytorch (in torch.cuda.nccl.reduce) 2.6.0 Denial of Service (by Default436352)