GHSA-XC68-RRQC-QGQ3
Vulnerability from github – Published: 2026-03-03 21:31 – Updated: 2026-03-04 21:15A vulnerability was detected in PhialsBasement nmap-mcp-server up to bee6d23547d57ae02460022f7c78ac0893092e38. Affected by this issue is the function child_process.exec of the file src/index.ts of the component Nmap CLI Command Handler. The manipulation results in command injection. The attack may be performed from remote. This product utilizes a rolling release system for continuous delivery, and as such, version information for affected or updated releases is not disclosed. The patch is identified as 30a6b9e1c7fa6146f51e28d6ab83a2568d9a3488. It is best practice to apply a patch to resolve this issue.
{
"affected": [
{
"package": {
"ecosystem": "npm",
"name": "mcp-nmap-server"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "1.0.1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-3484"
],
"database_specific": {
"cwe_ids": [
"CWE-74",
"CWE-77"
],
"github_reviewed": true,
"github_reviewed_at": "2026-03-04T21:15:13Z",
"nvd_published_at": "2026-03-03T20:16:50Z",
"severity": "MODERATE"
},
"details": "A vulnerability was detected in PhialsBasement nmap-mcp-server up to bee6d23547d57ae02460022f7c78ac0893092e38. Affected by this issue is the function child_process.exec of the file src/index.ts of the component Nmap CLI Command Handler. The manipulation results in command injection. The attack may be performed from remote. This product utilizes a rolling release system for continuous delivery, and as such, version information for affected or updated releases is not disclosed. The patch is identified as 30a6b9e1c7fa6146f51e28d6ab83a2568d9a3488. It is best practice to apply a patch to resolve this issue.",
"id": "GHSA-xc68-rrqc-qgq3",
"modified": "2026-03-04T21:15:13Z",
"published": "2026-03-03T21:31:16Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-3484"
},
{
"type": "WEB",
"url": "https://github.com/PhialsBasement/nmap-mcp-server/issues/7"
},
{
"type": "WEB",
"url": "https://github.com/PhialsBasement/nmap-mcp-server/issues/7#issuecomment-3814382570"
},
{
"type": "WEB",
"url": "https://github.com/PhialsBasement/nmap-mcp-server/commit/30a6b9e1c7fa6146f51e28d6ab83a2568d9a3488"
},
{
"type": "PACKAGE",
"url": "https://github.com/PhialsBasement/nmap-mcp-server"
},
{
"type": "WEB",
"url": "https://vuldb.com/?ctiid.348559"
},
{
"type": "WEB",
"url": "https://vuldb.com/?id.348559"
},
{
"type": "WEB",
"url": "https://vuldb.com/?submit.763773"
},
{
"type": "WEB",
"url": "https://vuldb.com/?submit.763777"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "MCP NMAP Server has an Injection vulnerability"
}
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.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- 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.
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.
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.