Vulnerability-Lookup

GHSA-GJ5F-73VH-WPF7

Vulnerability from github – Published: 2025-10-10 06:30 – Updated: 2025-10-20 17:49

Withdrawn 2025-10-20

Summary

Withdrawn Advisory: cross-zip is vulnerable to Directory Traversal through selective use of zip/unzip operations

Details

Withdrawn Advisory

This advisory has been withdrawn because it does not discuss a valid vulnerability. This link is maintained to preserve external references.

Original Description

All versions of the package cross-zip are vulnerable to Directory Traversal via consecutive usage of zipSync() and unzipSync () functions that allow arguments such as __dirname. An attacker can access system files by selectively doing zip/unzip operations.

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{
  "affected": [
    {
      "package": {
        "ecosystem": "npm",
        "name": "cross-zip"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "4.0.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2025-11569"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-22"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2025-10-10T23:49:44Z",
    "nvd_published_at": "2025-10-10T05:15:32Z",
    "severity": "LOW"
  },
  "details": "### Withdrawn Advisory\nThis advisory has been withdrawn because it does not discuss a valid vulnerability. This link is maintained to preserve external references.\n\n### Original Description\nAll versions of the package cross-zip are vulnerable to Directory Traversal via consecutive usage of zipSync() and unzipSync () functions that allow arguments such as __dirname. An attacker can access system files by selectively doing zip/unzip operations.",
  "id": "GHSA-gj5f-73vh-wpf7",
  "modified": "2025-10-20T17:49:01Z",
  "published": "2025-10-10T06:30:55Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-11569"
    },
    {
      "type": "WEB",
      "url": "https://gist.github.com/mcoimbra/9ab12a6187fac41d2fa7ba594ed535ac"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/feross/cross-zip"
    },
    {
      "type": "WEB",
      "url": "https://github.com/feross/cross-zip/blob/eba335474e6142468bd8904f6456208db906d40d/index.js%23L94"
    },
    {
      "type": "WEB",
      "url": "https://security.snyk.io/vuln/SNYK-JS-CROSSZIP-6105396"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [],
  "summary": "Withdrawn Advisory: cross-zip is vulnerable to Directory Traversal through selective use of zip/unzip operations",
  "withdrawn": "2025-10-20T17:49:01Z"
}

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 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.

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.

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