FKIE_CVE-2026-14681
Vulnerability from fkie_nvd - Published: 2026-08-13 13:17 - Updated: 2026-08-13 16:17
Severity
Summary
Improper enforcement of message integrity in PostgreSQL GSSAPI support allows a user to negotiate GSSAPI contrary to pg_hba.conf rules, via initial direct TLS connection. Despite a pg_hba.conf that appears to require GSSAPI, the connection may exchange data over TLS encryption alone. If the TLS settings are more permissive than the GSS settings, the connection may continue with lesser protection. Within major versions 17-18, minor versions before PostgreSQL 18.5 and 17.11 are affected. Versions before PostgreSQL 17 are unaffected.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "PostgreSQL",
"vendor": "n/a",
"versions": [
{
"lessThan": "18.5",
"status": "affected",
"version": "18",
"versionType": "rpm"
},
{
"lessThan": "17.11",
"status": "affected",
"version": "17",
"versionType": "rpm"
}
]
}
],
"source": "f86ef6dc-4d3a-42ad-8f28-e6d5547a5007"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Improper enforcement of message integrity in PostgreSQL GSSAPI support allows a user to negotiate GSSAPI contrary to pg_hba.conf rules, via initial direct TLS connection. Despite a pg_hba.conf that appears to require GSSAPI, the connection may exchange data over TLS encryption alone. If the TLS settings are more permissive than the GSS settings, the connection may continue with lesser protection. Within major versions 17-18, minor versions before PostgreSQL 18.5 and 17.11 are affected. Versions before PostgreSQL 17 are unaffected."
}
],
"id": "CVE-2026-14681",
"lastModified": "2026-08-13T16:17:57.253",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.2,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.6,
"impactScore": 2.5,
"source": "f86ef6dc-4d3a-42ad-8f28-e6d5547a5007",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-14681",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-13T14:38:14.009555Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-08-13T13:17:45.523",
"references": [
{
"source": "f86ef6dc-4d3a-42ad-8f28-e6d5547a5007",
"url": "https://www.postgresql.org/support/security/CVE-2026-14681/"
}
],
"sourceIdentifier": "f86ef6dc-4d3a-42ad-8f28-e6d5547a5007",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-924"
}
],
"source": "f86ef6dc-4d3a-42ad-8f28-e6d5547a5007",
"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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