BREW-GLANCES-CVE-2016-7036 (GHSA-W799-PRG3-CX77)
Vulnerability from osv_homebrew – Published: 2026-08-13 16:51 – Updated: 2026-09-10 19:18 – Source website
VLAI
Summary
python-jose failure to use a constant time comparison for HMAC keys
Details
python-jose before 1.3.2 allows attackers to have unspecified impact by leveraging failure to use a constant time comparison for HMAC keys.
Severity
9.8 (Critical)
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "python-jose",
"resource_purl": "pkg:pypi/python-jose@3.5.0",
"upstream_fixed_in": "1.3.2"
},
"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 before 1.3.2 allows attackers to have unspecified impact by leveraging failure to use a constant time comparison for HMAC keys.",
"id": "BREW-glances-CVE-2016-7036",
"modified": "2026-09-10T19:18:35Z",
"published": "2026-08-13T16:51:23Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2016-7036"
},
{
"type": "WEB",
"url": "https://github.com/mpdavis/python-jose/pull/35/commits/89b46353b9f611e9da38de3d2fedf52331167b93"
},
{
"type": "WEB",
"url": "https://github.com/mpdavis/python-jose/commit/73007d6887a7517ac07c6e755e494baee49ef513"
},
{
"type": "PACKAGE",
"url": "https://github.com/mpdavis/python-jose"
},
{
"type": "WEB",
"url": "https://github.com/mpdavis/python-jose/releases/tag/1.3.2"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/python-jose/PYSEC-2017-28.yaml"
},
{
"type": "WEB",
"url": "https://web.archive.org/web/20210123221523/http://www.securityfocus.com/bid/95845"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "python-jose failure to use a constant time comparison for HMAC keys",
"upstream": [
"GHSA-w799-prg3-cx77",
"CVE-2016-7036",
"PYSEC-2017-28"
]
}
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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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- 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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