FKIE_CVE-2026-72581
Vulnerability from fkie_nvd - Published: 2026-08-10 11:17 - Updated: 2026-08-28 18:51
Severity
Summary
A server-side request forgery (SSRF) vulnerability in duhow/xiaoai-patch through commit fb07049 allows a remote attacker to make the Xiaomi smart speaker perform HTTP requests to arbitrary internal or external URLs. The /auth endpoint in api/main.py uses the user-supplied url POST parameter to redirect to a Home Assistant instance without validating the destination URL, enabling internal network scanning and access to internal services.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unknown",
"product": "xiaoai-patch",
"vendor": "duhow",
"versions": [
{
"lessThanOrEqual": "fb07049",
"status": "affected",
"version": "0",
"versionType": "git"
}
]
}
],
"source": "309f9ea4-e3e9-4c6c-b79d-e8eb01244f2c"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A server-side request forgery (SSRF) vulnerability in duhow/xiaoai-patch through commit fb07049 allows a remote attacker to make the Xiaomi smart speaker perform HTTP requests to arbitrary internal or external URLs. The /auth endpoint in api/main.py uses the user-supplied url POST parameter to redirect to a Home Assistant instance without validating the destination URL, enabling internal network scanning and access to internal services."
}
],
"id": "CVE-2026-72581",
"lastModified": "2026-08-28T18:51:39.823",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.6,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 4.0,
"source": "309f9ea4-e3e9-4c6c-b79d-e8eb01244f2c",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-72581",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-10T13:16:51.559663Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-08-10T11:17:31.017",
"references": [
{
"source": "309f9ea4-e3e9-4c6c-b79d-e8eb01244f2c",
"url": "https://github.com/duhow/xiaoai-patch"
},
{
"source": "309f9ea4-e3e9-4c6c-b79d-e8eb01244f2c",
"url": "https://github.com/duhow/xiaoai-patch/blob/main/api/main.py"
}
],
"sourceIdentifier": "309f9ea4-e3e9-4c6c-b79d-e8eb01244f2c",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-918"
}
],
"source": "309f9ea4-e3e9-4c6c-b79d-e8eb01244f2c",
"type": "Secondary"
}
]
}
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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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.
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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.