CVE-2026-104059 (GCVE-0-2026-104059)
Vulnerability from cvelistv5 – Published: 2026-10-01 18:17 – Updated: 2026-10-01 18:17 X_Open Source
VLAI
EPSS
VEX
Title
Lektor 3.3.14 CSRF via Admin API Endpoints
Summary
Lektor 3.3.14 and 3.4.0b15 contains a cross-site request forgery vulnerability in the admin API blueprint that allows unauthenticated attackers to perform state-changing actions by sending cross-origin requests without CSRF tokens, Origin/Referer validation, CORS configuration, or Host allowlisting. Attackers can exploit the newattachment, deleterecord, build, clean, and publish endpoints from a malicious web page to write arbitrary files, delete pages, wipe build output, trigger deployment publication, and via DNS rebinding reach read endpoints to disclose data.
Severity
CWE
- CWE-352 - Cross-Site Request Forgery (CSRF)
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://gist.github.com/mansurmavlankulov/c7683e3… | technical-description |
| https://www.vulncheck.com/advisories/lektor-csrf-… | third-party-advisory |
Impacted products
Date Public
2026-09-29 00:00
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{
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"packageURL": "pkg:github/akhilrex/podgrab",
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"repo": "https://github.com/lektor/lektor",
"vendor": "lektor",
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}
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"metrics": [
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"problemTypes": [
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"description": "Cross-Site Request Forgery (CSRF)",
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"providerMetadata": {
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},
{
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],
"url": "https://www.vulncheck.com/advisories/lektor-csrf-via-admin-api-endpoints"
}
],
"source": {
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},
"tags": [
"x_open-source"
],
"title": "Lektor 3.3.14 CSRF via Admin API Endpoints",
"x_generator": {
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}
},
"cveMetadata": {
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"cveId": "CVE-2026-104059",
"datePublished": "2026-10-01T18:17:39.168Z",
"dateReserved": "2026-10-01T18:02:50.081Z",
"dateUpdated": "2026-10-01T18:17:39.168Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
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{
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"packageURL": "pkg:github/akhilrex/podgrab",
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"versions": [
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},
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}
],
"id": "CVE-2026-104059",
"lastModified": "2026-10-01T19:17:19.480",
"metrics": {
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"Recovery": "NOT_DEFINED",
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"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
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}
}
}
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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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