BREW-RECON-NG-CVE-2024-49766 (GHSA-F9VJ-2WH5-FJ8J)
Vulnerability from osv_homebrew – Published: 2026-08-13 17:32 – Updated: 2026-09-10 01:05 – Source website
VLAI
Summary
Werkzeug safe_join not safe on Windows
Details
On Python < 3.11 on Windows, os.path.isabs() does not catch UNC paths like //server/share. Werkzeug's safe_join() relies on this check, and so can produce a path that is not safe, potentially allowing unintended access to data. Applications using Python >= 3.11, or not using Windows, are not vulnerable.
Severity
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "werkzeug",
"resource_purl": "pkg:pypi/werkzeug@3.1.4",
"upstream_fixed_in": "3.0.6"
},
"package": {
"ecosystem": "Homebrew",
"name": "recon-ng",
"purl": "pkg:brew/recon-ng"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "5.1.2_3"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/werkzeug@3.1.4",
"name": "werkzeug",
"resource": "werkzeug",
"strategy": "registry",
"subject_version": "3.1.4"
}
]
},
"details": "On Python \u003c 3.11 on Windows, `os.path.isabs()` does not catch UNC paths like `//server/share`. Werkzeug\u0027s `safe_join()` relies on this check, and so can produce a path that is not safe, potentially allowing unintended access to data. Applications using Python \u003e= 3.11, or not using Windows, are not vulnerable.",
"id": "BREW-recon-ng-CVE-2024-49766",
"modified": "2026-09-10T01:05:54Z",
"published": "2026-08-13T17:32:25Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/pallets/werkzeug/security/advisories/GHSA-f9vj-2wh5-fj8j"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-49766"
},
{
"type": "WEB",
"url": "https://github.com/pallets/werkzeug/commit/2767bcb10a7dd1c297d812cc5e6d11a474c1f092"
},
{
"type": "PACKAGE",
"url": "https://github.com/pallets/werkzeug"
},
{
"type": "WEB",
"url": "https://github.com/pallets/werkzeug/releases/tag/3.0.6"
},
{
"type": "WEB",
"url": "https://security.netapp.com/advisory/ntap-20250131-0005"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Werkzeug safe_join not safe on Windows",
"upstream": [
"GHSA-f9vj-2wh5-fj8j",
"CVE-2024-49766",
"PYSEC-2026-2045"
]
}
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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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- 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
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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