GitLab Community Edition/Enterprise Edition up to 17.0.4/17.1.2/17.2.0 information disclosure

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 (≈)
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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.
4.2$0-$5k0.00

Summaryinfo

A vulnerability classified as problematic has been found in GitLab Community Edition and Enterprise Edition up to 17.0.4/17.1.2/17.2.0. The impacted element is an unknown function. The manipulation leads to information disclosure. This vulnerability is documented as CVE-2024-7091. The attack can be initiated remotely. There is not any exploit available. It is recommended to upgrade the affected component.

Detailsinfo

A vulnerability was found in GitLab Community Edition and Enterprise Edition up to 17.0.4/17.1.2/17.2.0. It has been rated as problematic. This issue affects some unknown processing. The manipulation with an unknown input leads to a information disclosure vulnerability. Using CWE to declare the problem leads to CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. Impacted is confidentiality. The summary by CVE is:

An issue was discovered in GitLab CE/EE affecting all versions starting from 15.6 prior to 17.0.5, starting from 17.1 prior to 17.1.3, and starting from 17.2 prior to 17.2.1 where it was possible to disclose limited information of an exported group or project to another user.

The weakness was released by James Nutt as 408469. It is possible to read the advisory at gitlab.com. The identification of this vulnerability is CVE-2024-7091 since 07/24/2024. The exploitation is known to be easy. The attack may be initiated remotely. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.

Upgrading to version 17.0.5, 17.1.3 or 17.2.1 eliminates this vulnerability.

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

Productinfo

Type

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.2
VulDB Meta Temp Score: 4.2

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

NVD Base Score: 5.0
NVD Vector: 🔍

CNA Base Score: 4.1
CNA Vector (GitLab): 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Information disclosure
CWE: CWE-200 / CWE-284 / CWE-266
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: Community Edition/Enterprise Edition 17.0.5/17.1.3/17.2.1

Timelineinfo

07/24/2024 🔍
07/25/2024 +1 days 🔍
07/25/2024 +0 days 🔍
03/16/2025 +234 days 🔍

Sourcesinfo

Vendor: gitlab.com

Advisory: 408469
Researcher: James Nutt
Status: Confirmed

CVE: CVE-2024-7091 (🔍)
GCVE (CVE): GCVE-0-2024-7091
GCVE (VulDB): GCVE-100-272411

Entryinfo

Created: 07/25/2024 06:44
Updated: 03/16/2025 20:52
Changes: 07/25/2024 06:44 (66), 07/26/2024 14:03 (1), 09/06/2024 04:29 (12), 03/16/2025 20:52 (3)
Complete: 🔍
Cache ID: 216::103

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

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