FKIE_CVE-2026-73566
Vulnerability from fkie_nvd - Published: 2026-08-13 18:18 - Updated: 2026-08-13 18:18
Severity
Summary
node-tar is a tar archive manipulation library for Node.js. Prior to 7.5.21, node-tar's filesFilter in src/list.ts uses the recursive mapHas helper to walk an archive entry path upward with path.dirname() and no segment cap when tar.t(...) or tar.x(...) receives a non-empty member-selection list. A crafted GNU L or PAX x long-path header with thousands of slash-separated segments reaches this.filter(entry.path, entry) in Parser[CONSUMEHEADER] in src/parse.ts before Unpack[CHECKPATH] applies maxDepth, causing an uncatchable RangeError stack overflow that terminates asynchronous and streaming Node.js consumers. This issue is fixed in version 7.5.21.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "node-tar",
"vendor": "isaacs",
"versions": [
{
"status": "affected",
"version": "\u003c 7.5.21"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "node-tar is a tar archive manipulation library for Node.js. Prior to 7.5.21, node-tar\u0027s filesFilter in src/list.ts uses the recursive mapHas helper to walk an archive entry path upward with path.dirname() and no segment cap when tar.t(...) or tar.x(...) receives a non-empty member-selection list. A crafted GNU L or PAX x long-path header with thousands of slash-separated segments reaches this.filter(entry.path, entry) in Parser[CONSUMEHEADER] in src/parse.ts before Unpack[CHECKPATH] applies maxDepth, causing an uncatchable RangeError stack overflow that terminates asynchronous and streaming Node.js consumers. This issue is fixed in version 7.5.21."
}
],
"id": "CVE-2026-73566",
"lastModified": "2026-08-13T18:18:19.250",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
},
"published": "2026-08-13T18:18:19.250",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/isaacs/node-tar/commit/631ae59121bf8fc8a22bbae35f074cb9b789cd4a"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/isaacs/node-tar/security/advisories/GHSA-r292-9mhp-454m"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-400"
},
{
"lang": "en",
"value": "CWE-674"
}
],
"source": "security-advisories@github.com",
"type": "Primary"
}
]
}
Loading…
Loading…
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
- 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.
Loading…
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.
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.
Loading…
Loading…