BREW-AIDER-CVE-2021-27291 (GHSA-PQ64-V7F5-GQH8)
Vulnerability from osv_homebrew – Published: 2026-08-13 16:35 – Updated: 2026-09-09 23:40 – Source website
VLAI
Summary
Pygments vulnerable to Regular Expression Denial of Service (ReDoS)
Details
In pygments 1.1+, fixed in 2.7.4, the lexers used to parse programming languages rely heavily on regular expressions. Some of the regular expressions have exponential or cubic worst-case complexity and are vulnerable to ReDoS. By crafting malicious input, an attacker can cause a denial of service.
Severity
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "pygments",
"resource_purl": "pkg:pypi/pygments@2.19.2",
"upstream_fixed_in": "2.7.4"
},
"package": {
"ecosystem": "Homebrew",
"name": "aider",
"purl": "pkg:brew/aider"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.86.2"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/pygments@2.19.2",
"name": "pygments",
"resource": "pygments",
"strategy": "registry",
"subject_version": "2.19.2"
}
]
},
"details": "In pygments 1.1+, fixed in 2.7.4, the lexers used to parse programming languages rely heavily on regular expressions. Some of the regular expressions have exponential or cubic worst-case complexity and are vulnerable to ReDoS. By crafting malicious input, an attacker can cause a denial of service.",
"id": "BREW-aider-CVE-2021-27291",
"modified": "2026-09-09T23:40:56Z",
"published": "2026-08-13T16:35:12Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-27291"
},
{
"type": "WEB",
"url": "https://github.com/pygments/pygments/commit/2e7e8c4a7b318f4032493773732754e418279a14"
},
{
"type": "WEB",
"url": "https://gist.github.com/b-c-ds/b1a2cc0c68a35c57188575eb496de5ce"
},
{
"type": "PACKAGE",
"url": "https://github.com/pygments/pygments"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/pygments/PYSEC-2021-141.yaml"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2021/03/msg00024.html"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2021/05/msg00003.html"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2021/05/msg00006.html"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/GSJRFHALQ7E3UV4FFMFU2YQ6LUDHAI55"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/WSLD67LFGXOX2K5YNESSWAS4AGZIJTUQ"
},
{
"type": "WEB",
"url": "https://www.debian.org/security/2021/dsa-4878"
},
{
"type": "WEB",
"url": "https://www.debian.org/security/2021/dsa-4889"
}
],
"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": "Pygments vulnerable to Regular Expression Denial of Service (ReDoS)",
"upstream": [
"GHSA-pq64-v7f5-gqh8",
"CVE-2021-27291",
"PYSEC-2021-141"
]
}
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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 |
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Nomenclature
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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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