Sunwood-ai-labs github-kanban-mcp-server 0.3.0/0.4.0 add_comment os command injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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9.8$0-$5k0.00

Summaryinfo

A vulnerability described as critical has been identified in Sunwood-ai-labs github-kanban-mcp-server 0.3.0/0.4.0. Affected is an unknown function of the component add_comment. Such manipulation leads to os command injection. This vulnerability is referenced as CVE-2025-53818. It is possible to launch the attack remotely. No exploit is available.

Detailsinfo

A vulnerability, which was classified as very critical, has been found in Sunwood-ai-labs github-kanban-mcp-server 0.3.0/0.4.0. Affected by this issue is an unknown code block of the component add_comment. The manipulation with an unknown input leads to a os command injection vulnerability. Using CWE to declare the problem leads to CWE-78. The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component. Impacted is confidentiality, integrity, and availability. CVE summarizes:

GitHub Kanban MCP Server is a Model Context Protocol (MCP) server for managing GitHub issues in Kanban board format and streamlining LLM task management. Versions 0.3.0 and 0.4.0 of the MCP Server are written in a way that is vulnerable to command injection vulnerability attacks as part of some of its MCP Server tool definition and implementation. The MCP Server exposes the tool `add_comment` which relies on Node.js child process API `exec` to execute the GitHub (`gh`) command, is an unsafe and vulnerable API if concatenated with untrusted user input. As of time of publication, no known patches are available.

The advisory is available at github.com. This vulnerability is handled as CVE-2025-53818 since 07/09/2025. The exploitation is known to be easy. The attack may be launched remotely. No form of authentication is required for exploitation. The technical details are unknown and an exploit is not available. The structure of the vulnerability defines a possible price range of USD $0-$5k at the moment (estimation calculated on 07/15/2025). This vulnerability is assigned to T1202 by the MITRE ATT&CK project.

It is declared as proof-of-concept.

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

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2025-21393). If you want to get best quality of vulnerability data, you may have to visit VulDB.

Productinfo

Type

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 9.8
VulDB Meta Temp Score: 9.8

VulDB Base Score: 9.8
VulDB Temp Score: 9.8
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

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

Exploitinginfo

Class: Os command injection
CWE: CWE-78 / CWE-77 / CWE-74
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Proof-of-Concept

EPSS Score: 🔒
EPSS Percentile: 🔒

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

07/09/2025 CVE reserved
07/14/2025 +5 days Advisory disclosed
07/14/2025 +0 days VulDB entry created
07/15/2025 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: github.com
Status: Confirmed

CVE: CVE-2025-53818 (🔒)
GCVE (CVE): GCVE-0-2025-53818
GCVE (VulDB): GCVE-100-316370
EUVD: 🔒

Entryinfo

Created: 07/14/2025 23:10
Updated: 07/15/2025 00:34
Changes: 07/14/2025 23:10 (67), 07/15/2025 00:34 (1)
Complete: 🔍
Cache ID: 216::103

If you want to get best quality of vulnerability data, you may have to visit VulDB.

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