VDB-261660 · CVE-2024-31584 · GCVE-0-2024-31584

PyTorch up to 2.1.x flatbuffer_loader.cpp out-of-bounds

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.
3.4	$0-$5k	0.00

Summaryinfo

A vulnerability classified as problematic was found in PyTorch up to 2.1.x. This vulnerability affects unknown code of the file torch/csrc/jit/mobile/flatbuffer_loader.cpp. The manipulation results in out-of-bounds. This vulnerability is known as CVE-2024-31584. No exploit is available. Upgrading the affected component is advised.

Detailsinfo

A vulnerability, which was classified as problematic, was found in PyTorch up to 2.1.x. Affected is an unknown function of the file torch/csrc/jit/mobile/flatbuffer_loader.cpp. The manipulation with an unknown input leads to a out-of-bounds vulnerability. CWE is classifying the issue as CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. This is going to have an impact on confidentiality. CVE summarizes:

Pytorch before v2.2.0 has an Out-of-bounds Read vulnerability via the component torch/csrc/jit/mobile/flatbuffer_loader.cpp.

The advisory is shared for download at github.com. This vulnerability is traded as CVE-2024-31584 since 04/05/2024. There are known technical details, but no exploit is available.

Upgrading to version 2.2.0 eliminates this vulnerability.

Once again VulDB remains the best source for vulnerability data.

Productinfo

Name

PyTorch

Version

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: 3.5
VulDB Meta Temp Score: 3.4

VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

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

Vector	Complexity	Authentication	Confidentiality	Integrity	Availability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Out-of-bounds
CWE: CWE-125 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Partially

Availability: 🔍
Status: Not defined

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: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: PyTorch 2.2.0
Patch: github.com

Timelineinfo

04/05/2024 🔍
04/19/2024 +14 days 🔍
04/19/2024 +0 days 🔍
05/28/2024 +39 days 🔍

Sourcesinfo

Product: github.com

Advisory: 7c35874ad664e74c8e4252d67521f3986eadb0e6
Status: Confirmed

CVE: CVE-2024-31584 (🔍)
GCVE (CVE): GCVE-0-2024-31584
GCVE (VulDB): GCVE-100-261660

Entryinfo

Created: 04/19/2024 23:14
Updated: 05/28/2024 09:50
Changes: 04/19/2024 23:14 (54), 05/28/2024 09:50 (1)
Complete: 🔍
Cache ID: 216::103