bmaltais kohya_ss up to 23.1.4 git_caption_gui.py command injection

CVSS Meta Temp Score
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CTI Interest Score
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8.6$0-$5k0.00

Summaryinfo

A vulnerability identified as critical has been detected in bmaltais kohya_ss up to 23.1.4. Affected is an unknown function of the file git_caption_gui.py. This manipulation causes command injection. This vulnerability is handled as CVE-2024-32026. The attack can be initiated remotely. There is not any exploit available. You should upgrade the affected component.

Detailsinfo

A vulnerability has been found in bmaltais kohya_ss up to 23.1.4 and classified as critical. Affected by this vulnerability is some unknown functionality of the file git_caption_gui.py. The manipulation with an unknown input leads to a command injection vulnerability. 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:

Kohya_ss is a GUI for Kohya's Stable Diffusion trainers. Kohya_ss is vulnerable to a command injection in `git_caption_gui.py`. This vulnerability is fixed in 23.1.5.

The advisory is shared at github.com. This vulnerability is known as CVE-2024-32026 since 04/09/2024. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1202 for this issue.

Upgrading to version 23.1.5 eliminates this vulnerability. Applying the patch 831af8babeb75faff62bcc6a8c6a4f80354f1ff1 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.

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.7
VulDB Meta Temp Score: 8.6

VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CNA Base Score: 9.1
CNA Vector (GitHub, Inc.): 🔍

CVSSv2info

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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: 🔍

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: kohya_ss 23.1.5
Patch: 831af8babeb75faff62bcc6a8c6a4f80354f1ff1

Timelineinfo

04/09/2024 🔍
04/16/2024 +7 days 🔍
04/16/2024 +0 days 🔍
09/08/2025 +510 days 🔍

Sourcesinfo

Product: github.com

Advisory: GHSA-v5cm-33w8-xrj6
Status: Confirmed

CVE: CVE-2024-32026 (🔍)
GCVE (CVE): GCVE-0-2024-32026
GCVE (VulDB): GCVE-100-260941

Entryinfo

Created: 04/16/2024 19:27
Updated: 09/08/2025 22:24
Changes: 04/16/2024 19:27 (67), 09/08/2025 22:24 (13)
Complete: 🔍
Cache ID: 216::103

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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