FKIE_CVE-2026-97737
Vulnerability from fkie_nvd - Published: 2026-09-25 05:17 - Updated: 2026-09-25 05:17
Severity
Summary
In Wakapi before 2.17.6, the user caching service allows a lookup to be resolved in an unintended lookup context, leading to account takeover.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"modules": [
"user caching service (services/user.go)"
],
"packageURL": "pkg:golang/github.com/muety/wakapi",
"product": "Wakapi",
"programFiles": [
"services/user.go"
],
"repo": "https://github.com/muety/wakapi",
"vendor": "muety",
"versions": [
{
"lessThan": "2.17.6",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "cve@mitre.org"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "In Wakapi before 2.17.6, the user caching service allows a lookup to be resolved in an unintended lookup context, leading to account takeover."
}
],
"id": "CVE-2026-97737",
"lastModified": "2026-09-25T05:17:07.760",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.4,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.2,
"impactScore": 5.2,
"source": "cve@mitre.org",
"type": "Secondary"
}
]
},
"published": "2026-09-25T05:17:07.760",
"references": [
{
"source": "cve@mitre.org",
"url": "https://github.com/muety/wakapi/commit/ce91eac2c2d9b29a00873554d2ecef76f10b9087"
},
{
"source": "cve@mitre.org",
"url": "https://github.com/muety/wakapi/releases/tag/2.17.6"
},
{
"source": "cve@mitre.org",
"url": "https://github.com/muety/wakapi/security/advisories/GHSA-x48w-3rq3-w2pq"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-843"
}
],
"source": "cve@mitre.org",
"type": "Primary"
}
]
}
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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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