VDB-214417 · CVE-2022-45907 · Issue 88868

PyTorch torch.jit.annotations.parse_type_line command injection

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.
7.6	$0-$5k	0.00

Summaryinfo

A vulnerability was found in PyTorch. It has been rated as problematic. Impacted is the function torch.jit.annotations.parse_type_line. This manipulation causes an unknown weakness. This vulnerability is tracked as CVE-2022-45907. No exploit exists. Upgrading the affected component is advised.

Detailsinfo

A vulnerability classified as problematic was found in PyTorch (version unknown). The CWE definition for the vulnerability is CWE-77. The product constructs all or part of a command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended command when it is sent to a downstream component. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

In PyTorch before trunk/89695, torch.jit.annotations.parse_type_line can cause arbitrary code execution because eval is used unsafely.

The weakness was disclosed 11/26/2022 as 88868. The advisory is shared at github.com. This vulnerability is known as CVE-2022-45907 since 11/26/2022. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1202 for this issue.

Upgrading eliminates this vulnerability. Applying the patch 767f6aa49fe20a2766b9843d01e3b7f7793df6a3 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2022-0340). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Name

PyTorch

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: 7.6
VulDB Meta Temp Score: 7.6

VulDB Base Score: 5.5
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CVSSv2info

AV	AC	Au	C	I	A
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💳	💳	💳	💳	💳	💳
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Vector	Complexity	Authentication	Confidentiality	Integrity	Availability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Command injection
CWE: CWE-77 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

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: 🔍

Patch: 767f6aa49fe20a2766b9843d01e3b7f7793df6a3

Timelineinfo

11/26/2022 🔍
11/26/2022 +0 days 🔍
11/26/2022 +0 days 🔍
03/09/2026 +1199 days 🔍

Sourcesinfo

Product: github.com

Advisory: 88868
Status: Confirmed

CVE: CVE-2022-45907 (🔍)
GCVE (CVE): GCVE-0-2022-45907
GCVE (VulDB): GCVE-100-214417
EUVD: 🔍

Entryinfo

Created: 11/26/2022 08:27
Updated: 03/09/2026 10:54
Changes: 11/26/2022 08:27 (38), 12/23/2022 14:47 (12), 04/26/2025 04:05 (16), 03/09/2026 10:54 (2)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.