FKIE_CVE-2026-54546
Vulnerability from fkie_nvd - Published: 2026-09-17 18:16 - Updated: 2026-09-17 18:16
Severity
Summary
CloudTAK is a browser-based Common Operating Picture and situational awareness tool compatible with TAK. Prior to 13.22.1, the authenticated PUT /api/basemap endpoint passes an attacker-controlled URL through importBasemapURL() in api/routes/basemap.ts to fetch(url) without resolved-address classification or redirect revalidation. BasemapProtocol.isValidURL in api/lib/interface-basemap.ts checks only the HTTP or HTTPS scheme and is not applied on the vulnerable import path. Direct internal addresses, alternate IP encodings, and redirects to internal addresses can reach cloud metadata, loopback, private, and CGNAT HTTP services. The OptionalTileJSON response reflects fields including name, attribution, and tiles[0] to the caller, making the request forgery full-read rather than blind and enabling cloud credential theft and internal service disclosure. This issue is fixed in version 13.22.1.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "CloudTAK",
"vendor": "dfpc-coe",
"versions": [
{
"status": "affected",
"version": "\u003c 13.22.1"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "CloudTAK is a browser-based Common Operating Picture and situational awareness tool compatible with TAK. Prior to 13.22.1, the authenticated PUT /api/basemap endpoint passes an attacker-controlled URL through importBasemapURL() in api/routes/basemap.ts to fetch(url) without resolved-address classification or redirect revalidation. BasemapProtocol.isValidURL in api/lib/interface-basemap.ts checks only the HTTP or HTTPS scheme and is not applied on the vulnerable import path. Direct internal addresses, alternate IP encodings, and redirects to internal addresses can reach cloud metadata, loopback, private, and CGNAT HTTP services. The OptionalTileJSON response reflects fields including name, attribution, and tiles[0] to the caller, making the request forgery full-read rather than blind and enabling cloud credential theft and internal service disclosure. This issue is fixed in version 13.22.1."
}
],
"id": "CVE-2026-54546",
"lastModified": "2026-09-17T18:16:46.207",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.1,
"impactScore": 1.4,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-54546",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-17T17:42:26.242465Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-17T18:16:46.207",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/dfpc-coe/CloudTAK/commit/1e0f6e65977c86fbc0aa15e308c43cbcaee23a7c"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/dfpc-coe/CloudTAK/commit/556b35632877802c7e9c818db44aef7a2c3abebf"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/dfpc-coe/CloudTAK/pull/1513"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/dfpc-coe/CloudTAK/releases/tag/v13.22.1"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/dfpc-coe/CloudTAK/security/advisories/GHSA-vqrw-qphh-p34v"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://github.com/dfpc-coe/CloudTAK/security/advisories/GHSA-vqrw-qphh-p34v"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-918"
}
],
"source": "security-advisories@github.com",
"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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