PyTorch 2.6.0+cu124 Tuple torch.ops.profiler._call_end_callbacks_on_jit_fut None memory corruption

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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5.8$0-$5k0.00

Summaryinfo

A vulnerability was found in PyTorch 2.6.0+cu124. It has been classified as critical. This affects the function torch.ops.profiler._call_end_callbacks_on_jit_fut of the component Tuple Handler. This manipulation of the argument None causes memory corruption. The identification of this vulnerability is CVE-2025-2148. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in PyTorch 2.6.0+cu124. It has been declared as critical. Affected by this vulnerability is the function torch.ops.profiler._call_end_callbacks_on_jit_fut of the component Tuple Handler. The manipulation of the argument None 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-2025-2148. The exploitation appears to be difficult. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 06/23/2025).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔍
CNA CVSS-BT Score: 🔍
CNA Vector: 🔍

CVSSv3info

VulDB Meta Base Score: 5.8
VulDB Meta Temp Score: 5.8

VulDB Base Score: 5.0
VulDB Temp Score: 4.8
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CNA Base Score: 5.0
CNA Vector: 🔍

CVSSv2info

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

Exploitinginfo

Class: Memory corruption
CWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

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

03/10/2025 🔍
03/10/2025 +0 days 🔍
06/23/2025 +105 days 🔍

Sourcesinfo

Product: github.com

Advisory: 147722
Status: Not defined

CVE: CVE-2025-2148 (🔍)
GCVE (CVE): GCVE-0-2025-2148
GCVE (VulDB): GCVE-100-299059

Entryinfo

Created: 03/10/2025 07:19
Updated: 06/23/2025 21:41
Changes: 03/10/2025 07:19 (53), 03/10/2025 13:20 (30), 06/23/2025 21:41 (12)
Complete: 🔍
Submitter: Default436352
Cache ID: 216::103

Submitinfo

Accepted

  • Submit #505959: pytorch 2.6.0+cu124 Segmentation fault (by Default436352)

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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