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CVE-2025-53818

NVDCIRCLENISA

EUVD-2025-21393 · Published Jul 15, 2025

GitHub Kanban MCP Server vulnerable to Command Injection

The MCP Server at https://github.com/Sunwood-ai-labs/github-kanban-mcp-server/ is written in a way that is vulnerable to command injection vulnerability attacks as part of some of its MCP Server tool definition and implementation.

Vulnerable tool

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.

Data flows from the tool definition here which takes in args.issue_number and calls handleAddComment() in this definitino that uses exec in an insecure way.

Vulnerable line of code: https://github.com/Sunwood-ai-labs/github-kanban-mcp-server/blob/main/src/handlers/comment-handlers.ts#L8-L23

export async function handleAddComment(args: {
  repo: string;
  issue_number: string;
  body: string;
  state?: 'open' | 'closed';
}): Promise<ToolResponse> {
  const tempFile = 'comment_body.md';

  try {
    // ステータスの変更が指定されている場合は先に処理
    if (args.state) {
      try {
        const command = args.state === 'closed' ? 'close' : 'reopen';
        await execAsync(
          `gh issue ${command} ${args.issue_number} --repo ${args.repo}`
        );

Exploitation Proof of Concept

When LLMs are tricked through prompt injection (and other techniques and attack vectors) to call the tool with input that uses special shell characters such as ; rm -rf /tmp;# (be careful actually executing this payload) and other payload variations, the full command-line text will be interepted by the shell and result in other commands except of ps executing on the host running the MCP Server.

Reference example from prior security research on this topic, demonstrating how a similarly vulnerable MCP Server connected to Cursor is abused with prompt injection to bypass the developer's intended command:

Cursor defined MCP Server vulnerable to command injection

Impact

User initiated and remote command injection on a running MCP Server.

Recommendation

  • Don't use exec. Use execFile instead, which pins the command and provides the arguments as array elements.
  • If the user input is not a command-line flag, use the -- notation to terminate command and command-line flag, and indicate that the text after the -- double dash notation is benign value.

References and Prior work

  1. Exploiting MCP Servers Vulnerable to Command Injection
  2. Liran's Node.js Secure Coding: Defending Against Command Injection Vulnerabilities

Credit

Disclosed by Liran Tal

Technologies

Sunwood-Ai-Labs Github-Kanban-Mcp-Server

Weaknesses

CWE-78

References

Potentially impacted assets

See if this affects your attack surface

Latest trending attack

Criticalyesterday

Google Brotli decoder - Remote Code Execution via compressed requests (Exploitation Check)

This control is the second step of the Patrowl response to CVE-2026-111497 (Node2Shell). It complements the first control of 22 October 2026, which focused on the Node.js runtime, and does not replace it. Why a second control CVE-2026-111497 is an out-of-bounds write in the Google Brotli decoder, the library that decompresses Brotli ("br") data. It was first published as a Node.js vulnerability, because Node.js bundles this decoder. Later publications showed that the flaw is in the library itself. Every product that embeds an affected version of the decoder is concerned, whatever its language or vendor. A public proof of concept demonstrates code execution. Any server that decompresses request bodies sent with "Content-Encoding: br" exposes the decoder to unauthenticated attackers. Known cases include Express 5 and NestJS 11 on Node.js, Koa and Fastify setups, Bun, Envoy and Istio with request decompression enabled, and any application or reverse proxy that decodes Brotli request bodies with an affected library. The flaw also works in the other direction. A malicious server can compromise an unpatched client that decodes a Brotli response, for example Node.js fetch(), Python clients (requests, httpx, aiohttp, Scrapy) with the Brotli or brotlicffi package, or libcurl builds with Brotli support. What this control checks Patrowl sends small, valid Brotli-compressed requests to each asset and observes whether the server decodes them. The check does not depend on the technology: it detects the behaviour, whatever the stack behind it. These requests are what any legitimate client could send. They never reach the vulnerable code path and cannot affect the availability of the service. How to read the result Potentially impacted means the asset decodes Brotli request bodies: the attack surface is exposed. It does not confirm that the asset is vulnerable. The version of the Brotli decoder in use is not visible from the outside. This check covers applications that parse request bodies on their root path. A Not impacted result does not rule out exposure on other routes, nor on the client side. Checking the versions on the servers remains the only exhaustive verification. Affected and fixed versions Google Brotli 1.0.3 to 1.2.0 are affected, fixed in 1.0.10, 1.1.1 and 1.2.1. Fixed releases of the main products embedding it: Node.js 22.23.4, 24.22.1 and 26.12.1 (end-of-life lines 20.x and older and 25.x receive no fix), Bun 1.4.4, Envoy 1.37.8, 1.38.6, 1.39.3 and 1.40.0, Istio 1.29.9, 1.30.6 and 1.31.2, Python Brotli 1.2.1 and brotlicffi 1.2.1.0. Products that link against the system library depend on the Brotli package of the Linux distribution. Recommendations Update every component that embeds the Brotli decoder (only real fix). Start with the assets flagged by this control. Restart the processes after the update. Rebuild containers, single-executable applications and appliances that bundle an affected runtime or library. Reduce the exposure until the update is deployed. Reject requests with "Content-Encoding: br" at the reverse proxy, load balancer or WAF, case-insensitively and including lists such as "gzip, br". On Envoy and Istio, disable request decompression for Brotli. Review outbound calls. List the features that fetch content from servers you do not control, and patch the services that host them first.

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