Grafana Git Sync server-side request forgery

CVSS Meta Temp Score
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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.
3.9$0-$5k0.00+

Summaryinfo

A vulnerability, which was classified as problematic, has been found in Grafana. The impacted element is an unknown function of the component Git Sync. Performing a manipulation results in server-side request forgery. This vulnerability is cataloged as CVE-2026-110289. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in Grafana (affected version unknown). It has been classified as problematic. This affects an unknown functionality of the component Git Sync. The manipulation with an unknown input leads to a server-side request forgery vulnerability. CWE is classifying the issue as CWE-918. The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. This is going to have an impact on confidentiality. The summary by CVE is:

A user with the Organization Admin role could point the server or token URL of a Git Sync connection at a loopback or internal address, and Grafana would then send the connection's OAuth client secret and tokens, or requests signed with the GitHub App private key, to that address (server-side request forgery).

The advisory is shared at grafana.com. This vulnerability is uniquely identified as CVE-2026-110289 since 10/13/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. Additional levels of successful authentication are needed for exploitation. It demands that the victim is doing some kind of user interaction. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 11/11/2026).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

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

Productinfo

Name

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.9
VulDB Meta Temp Score: 3.9

VulDB Base Score: 2.4
VulDB Temp Score: 2.4
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 5.5
CNA Vector (GRAFANA): 🔒

CVSSv2info

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

Exploitinginfo

Class: Server-side request forgery
CWE: CWE-918
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

10/13/2026 CVE reserved
11/11/2026 +29 days Advisory disclosed
11/11/2026 +0 days VulDB entry created
11/11/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: grafana.com
Status: Confirmed

CNA: GRAFANA
CVE: CVE-2026-110289 (🔒)

GCVE (CVE): GCVE-0-2026-110289
GCVE (VulDB): GCVE-100-435849

Entryinfo

Created: 11/11/2026 16:30
Changes: 11/11/2026 16:30 (59)
Complete: 🔍
Cache ID: 216::103

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

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