FKIE_CVE-2026-55164
Vulnerability from fkie_nvd - Published: 2026-08-18 19:16 - Updated: 2026-08-18 20:17
Severity
Summary
Lemur manages TLS certificate creation. Prior to 1.9.2, lemur.users.service.update assigned a replacement password directly to users.password, while lemur/users/models.py registered User.hash_password only for the before_insert event. Because no before_update listener ran, administrator-initiated password changes through PUT /api/1/users/ were committed as plaintext. The affected user could no longer authenticate normally because bcrypt verification received an unhashed value. A database, backup, replica, query-log, or administrative read compromise exposed immediately usable credentials without offline cracking. The fix registers hashing for before_update and avoids rehashing values that already have a bcrypt prefix. This issue is fixed in version 1.9.2.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "lemur",
"vendor": "Netflix",
"versions": [
{
"status": "affected",
"version": "\u003c 1.9.2"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Lemur manages TLS certificate creation. Prior to 1.9.2, lemur.users.service.update assigned a replacement password directly to users.password, while lemur/users/models.py registered User.hash_password only for the before_insert event. Because no before_update listener ran, administrator-initiated password changes through PUT /api/1/users/ were committed as plaintext. The affected user could no longer authenticate normally because bcrypt verification received an unhashed value. A database, backup, replica, query-log, or administrative read compromise exposed immediately usable credentials without offline cracking. The fix registers hashing for before_update and avoids rehashing values that already have a bcrypt prefix. This issue is fixed in version 1.9.2."
}
],
"id": "CVE-2026-55164",
"lastModified": "2026-08-18T20:17:18.843",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.9,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.2,
"impactScore": 3.6,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-55164",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-18T19:15:04.584664Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-08-18T19:16:58.493",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/Netflix/lemur/commit/221c6d7275ac667bb8898ab48d2b96926a89c1c4"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/Netflix/lemur/releases/tag/v1.9.2"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/Netflix/lemur/security/advisories/GHSA-q437-g7fv-2jvv"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://github.com/Netflix/lemur/security/advisories/GHSA-q437-g7fv-2jvv"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-256"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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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.
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.
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