BREW-KIMI-CLI-CVE-2025-62801 (GHSA-RJ5C-58RQ-J5G5)
Vulnerability from osv_homebrew – Published: 2026-08-13 17:01 – Updated: 2026-09-17 20:03 – Source website
VLAI
Summary
FastMCP vulnerable to windows command injection in FastMCP Cursor installer via server_name
Details
Summary
A command-injection vulnerability lets any attacker who can influence the server_name field of an MCP execute arbitrary OS commands on Windows hosts that run fastmcp install cursor
Details
- generate_cursor_deeplink(server_name, …) embeds server_name verbatim in a cursor://…?name= query string.
- open_deeplink() is invoked with shell=True only on Windows. That calls cmd.exe /c start .
- Any cmd metacharacter inside server_name (&, |, >, ^, …) escapes the start command and spawns an attacker-chosen process.
PoC
server.py
import random
from fastmcp import FastMCP
mcp = FastMCP(name="test&calc")
@mcp.tool
def roll_dice(n_dice: int) -> list[int]:
"""Roll `n_dice` 6-sided dice and return the results."""
return [random.randint(1, 6) for _ in range(n_dice)]
if __name__ == "__main__":
mcp.run()
then run in the terminal:
fastmcp install cursor server.py
Impact
OS Command / Shell Injection (CWE-78) Every Windows host that runs fastmcp install cursor is at risk. Developers on their local workstations, CI/CD agents and corporate build machines alike.
Severity
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "fastmcp",
"resource_purl": "pkg:pypi/fastmcp@3.2.4",
"upstream_fixed_in": "2.13.0"
},
"package": {
"ecosystem": "Homebrew",
"name": "kimi-cli",
"purl": "pkg:brew/kimi-cli"
},
"ranges": [
{
"events": [
{
"introduced": "0.42_1"
},
{
"fixed": "1.44.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/fastmcp@3.2.4",
"name": "fastmcp",
"resource": "fastmcp",
"strategy": "registry",
"subject_version": "3.2.4"
}
]
},
"details": "### Summary\nA command-injection vulnerability lets any attacker who can influence the server_name field of an MCP execute arbitrary OS commands on Windows hosts that run fastmcp install cursor\n\n### Details\n1. generate_cursor_deeplink(server_name, \u2026) embeds server_name verbatim in a cursor://\u2026?name= query string.\n2. open_deeplink() is invoked with shell=True only on Windows. That calls cmd.exe /c start \u003cdeeplink\u003e.\n3. Any cmd metacharacter inside server_name (\u0026, |, \u003e, ^, \u2026) escapes the start command and spawns an attacker-chosen process.\n\n### PoC\nserver.py \n```\n\nimport random\nfrom fastmcp import FastMCP\n\nmcp = FastMCP(name=\"test\u0026calc\")\n\n@mcp.tool\ndef roll_dice(n_dice: int) -\u003e list[int]:\n \"\"\"Roll `n_dice` 6-sided dice and return the results.\"\"\"\n return [random.randint(1, 6) for _ in range(n_dice)]\n\nif __name__ == \"__main__\":\n mcp.run()\n```\n\nthen run in the terminal:\n`fastmcp install cursor server.py`\n\n### Impact\nOS Command / Shell Injection (CWE-78)\nEvery Windows host that runs fastmcp install cursor is at risk. Developers on their local workstations, CI/CD agents and corporate build machines alike.",
"id": "BREW-kimi-cli-CVE-2025-62801",
"modified": "2026-09-17T20:03:16Z",
"published": "2026-08-13T17:01:40Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/jlowin/fastmcp/security/advisories/GHSA-rj5c-58rq-j5g5"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-62801"
},
{
"type": "PACKAGE",
"url": "https://github.com/jlowin/fastmcp"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "FastMCP vulnerable to windows command injection in FastMCP Cursor installer via server_name",
"upstream": [
"GHSA-rj5c-58rq-j5g5",
"CVE-2025-62801",
"PYSEC-2026-1365"
]
}
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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
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