BREW-GLANCES-CVE-2024-33664 (GHSA-CJWG-QFPM-7377)
Vulnerability from osv_homebrew – Published: 2026-08-13 16:51 – Updated: 2026-09-10 19:18 – Source website
VLAI
Summary
python-jose denial of service via compressed JWE content
Details
python-jose through 3.3.0 allows attackers to cause a denial of service (resource consumption) during a decode via a crafted JSON Web Encryption (JWE) token with a high compression ratio, aka a "JWT bomb." This is similar to CVE-2024-21319.
Severity
5.3 (Medium)
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "python-jose",
"resource_purl": "pkg:pypi/python-jose@3.5.0",
"upstream_fixed_in": "3.4.0"
},
"package": {
"ecosystem": "Homebrew",
"name": "glances",
"purl": "pkg:brew/glances"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "4.5.6"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/python-jose@3.5.0",
"name": "python-jose",
"resource": "python-jose",
"strategy": "registry",
"subject_version": "3.5.0"
}
]
},
"details": "python-jose through 3.3.0 allows attackers to cause a denial of service (resource consumption) during a decode via a crafted JSON Web Encryption (JWE) token with a high compression ratio, aka a \"JWT bomb.\" This is similar to CVE-2024-21319.",
"id": "BREW-glances-CVE-2024-33664",
"modified": "2026-09-10T19:18:35Z",
"published": "2026-08-13T16:51:23Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-33664"
},
{
"type": "WEB",
"url": "https://github.com/mpdavis/python-jose/issues/344"
},
{
"type": "WEB",
"url": "https://github.com/mpdavis/python-jose/pull/345"
},
{
"type": "PACKAGE",
"url": "https://github.com/mpdavis/python-jose"
},
{
"type": "WEB",
"url": "https://github.com/mpdavis/python-jose/releases/tag/3.4.0"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/python-jose/PYSEC-2024-233.yaml"
},
{
"type": "WEB",
"url": "https://www.vicarius.io/vsociety/posts/jwt-bomb-in-python-jose-cve-2024-33664"
}
],
"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:L",
"type": "CVSS_V3"
}
],
"summary": "python-jose denial of service via compressed JWE content",
"upstream": [
"GHSA-cjwg-qfpm-7377",
"CVE-2024-33664",
"PYSEC-2024-233"
]
}
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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.
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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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