GitLab Community Edition/Enterprise Edition up to 17.3.6/17.4.3/17.5.1 Analytics Dashboard cross site scripting

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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5.1$0-$5k0.00

Summaryinfo

A vulnerability marked as problematic has been reported in GitLab Community Edition and Enterprise Edition up to 17.3.6/17.4.3/17.5.1. This affects an unknown part of the component Analytics Dashboard. The manipulation leads to cross site scripting. This vulnerability is documented as CVE-2024-8648. The attack can be initiated remotely. There is not any exploit available. It is suggested to upgrade the affected component.

Detailsinfo

A vulnerability was found in GitLab Community Edition and Enterprise Edition up to 17.3.6/17.4.3/17.5.1. It has been rated as problematic. This issue affects an unknown code of the component Analytics Dashboard. The manipulation with an unknown input leads to a cross site scripting vulnerability. Using CWE to declare the problem leads to CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. Impacted is integrity. The summary by CVE is:

An issue has been discovered in GitLab CE/EE affecting all versions from 16 before 17.3.7, 17.4 before 17.4.4, and 17.5 before 17.5.2. The vulnerability could allow an attacker to inject malicious JavaScript code in Analytics Dashboards through a specially crafted URL.

The weakness was released by joaxcar as 486220. The advisory is shared at gitlab.com. The identification of this vulnerability is CVE-2024-8648 since 09/10/2024. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1059.007 for this issue.

The vulnerability scanner Nessus provides a plugin with the ID 211452 (GitLab 16.0 < 17.3.7 / 17.4 < 17.4.4 / 17.5 < 17.5.2 (CVE-2024-8648)), which helps to determine the existence of the flaw in a target environment.

Upgrading to version 17.3.7, 17.4.4 or 17.5.2 eliminates this vulnerability. The upgrade is hosted for download at about.gitlab.com.

The vulnerability is also documented in the vulnerability database at Tenable (211452). Several companies clearly confirm that VulDB is the primary source for best 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: 5.2
VulDB Meta Temp Score: 5.1

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

CNA Base Score: 6.1
CNA Vector (GitLab): 🔍

CVSSv2info

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

Exploitinginfo

Class: Cross site scripting
CWE: CWE-79 / CWE-94 / CWE-74
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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Nessus ID: 211452
Nessus Name: GitLab 16.0 < 17.3.7 / 17.4 < 17.4.4 / 17.5 < 17.5.2 (CVE-2024-8648)

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: Community Edition/Enterprise Edition 17.3.7/17.4.4/17.5.2

Timelineinfo

09/10/2024 🔍
11/14/2024 +65 days 🔍
11/14/2024 +0 days 🔍
02/26/2025 +104 days 🔍

Sourcesinfo

Vendor: gitlab.com

Advisory: 486220
Researcher: joaxcar
Status: Confirmed

CVE: CVE-2024-8648 (🔍)
GCVE (CVE): GCVE-0-2024-8648
GCVE (VulDB): GCVE-100-284561

Entryinfo

Created: 11/14/2024 14:27
Updated: 02/26/2025 22:23
Changes: 11/14/2024 14:27 (68), 11/15/2024 22:07 (2), 02/26/2025 22:23 (3)
Complete: 🔍
Cache ID: 216::103

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

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