BREW-FLEXGET-CVE-2021-32838 (GHSA-3Q6G-VF58-7M4G)
Vulnerability from osv_homebrew – Published: 2026-08-13 16:47 – Updated: 2026-09-09 23:58 – Source website
VLAI
Summary
Regular Expression Denial of Service in flask-restx
Details
Flask RESTX contains a regular expression that is vulnerable to ReDoS (Regular Expression Denial of Service) in email_regex.
Severity
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "flask-restx",
"resource_purl": "pkg:pypi/flask-restx@1.3.2",
"upstream_fixed_in": "0.5.1"
},
"package": {
"ecosystem": "Homebrew",
"name": "flexget",
"purl": "pkg:brew/flexget"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "3.20.4"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/flask-restx@1.3.2",
"name": "flask-restx",
"resource": "flask-restx",
"strategy": "registry",
"subject_version": "1.3.2"
}
]
},
"details": "Flask RESTX contains a regular expression that is vulnerable to [ReDoS](https://owasp.org/www-community/attacks/Regular_expression_Denial_of_Service_-_ReDoS) (Regular Expression Denial of Service) in `email_regex`.\n",
"id": "BREW-flexget-CVE-2021-32838",
"modified": "2026-09-09T23:58:04Z",
"published": "2026-08-13T16:47:29Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/python-restx/flask-restx/security/advisories/GHSA-3q6g-vf58-7m4g"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-32838"
},
{
"type": "WEB",
"url": "https://github.com/python-restx/flask-restx/issues/372"
},
{
"type": "WEB",
"url": "https://github.com/python-restx/flask-restx/commit/bab31e085f355dd73858fd3715f7ed71849656da"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-3q6g-vf58-7m4g"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/flask-restx/PYSEC-2021-325.yaml"
},
{
"type": "PACKAGE",
"url": "https://github.com/python-restx/flask-restx"
},
{
"type": "WEB",
"url": "https://github.com/python-restx/flask-restx/blob/fd99fe11a88531f5f3441a278f7020589f9d2cc0/flask_restx/inputs.py#L51"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/5UCTFVDU3677B5OBGK4EF5NMUPJLL6SQ"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/QUD6SWZLX52AAZUHDETJ2CDMQGEPGFL3"
},
{
"type": "WEB",
"url": "https://pypi.org/project/flask-restx"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Regular Expression Denial of Service in flask-restx",
"upstream": [
"GHSA-3q6g-vf58-7m4g",
"CVE-2021-32838",
"PYSEC-2021-325"
]
}
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.
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.
Loading…
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.
Loading…