GitLab Community Edition/Enterprise Edition up to 15.3.4/15.4.3/15.5.1 GFM Reference 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 identified as problematic has been detected in GitLab Community Edition and Enterprise Edition up to 15.3.4/15.4.3/15.5.1. Affected is an unknown function of the component GFM Reference Handler. This manipulation causes information disclosure. This vulnerability is registered as CVE-2022-2761. Remote exploitation of the attack is possible. No exploit is available. You should upgrade the affected component.

Detailsinfo

A vulnerability classified as problematic was found in GitLab Community Edition and Enterprise Edition up to 15.3.4/15.4.3/15.5.1 (Bug Tracking Software). Affected by this vulnerability is some unknown functionality of the component GFM Reference Handler. The manipulation with an unknown input leads to a information disclosure vulnerability. The CWE definition for the vulnerability is CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. As an impact it is known to affect confidentiality. The summary by CVE is:

An information disclosure issue in GitLab CE/EE affecting all versions from 14.4 prior to 15.3.5, 15.4 prior to 15.4.4, and 15.5 prior to 15.5.2 allows an attacker to use GitLab Flavored Markdown (GFM) references in a Jira issue to disclose the names of resources they don't have access to.

The weakness was published 11/10/2022 as 370458. It is possible to read the advisory at gitlab.com. This vulnerability is known as CVE-2022-2761 since 08/11/2022. 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 15.3.5, 15.4.4 or 15.5.2 eliminates this vulnerability.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2022-35003). 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: 4.3
VulDB Meta Temp Score: 4.2

VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 4.3
CNA Vector (GitLab Inc.): 🔍

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 15.3.5/15.4.4/15.5.2

Timelineinfo

08/11/2022 🔍
11/10/2022 +91 days 🔍
11/10/2022 +0 days 🔍
05/27/2026 +1293 days 🔍

Sourcesinfo

Vendor: gitlab.com

Advisory: 370458
Status: Confirmed
Confirmation: 🔍

CVE: CVE-2022-2761 (🔍)
GCVE (CVE): GCVE-0-2022-2761
GCVE (VulDB): GCVE-100-213355
EUVD: 🔍

Entryinfo

Created: 11/10/2022 07:29
Updated: 05/27/2026 01:08
Changes: 11/10/2022 07:29 (53), 05/27/2026 01:08 (15)
Complete: 🔍
Cache ID: 216::103

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

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