FKIE_CVE-2026-71236
Vulnerability from fkie_nvd - Published: 2026-08-05 11:16 - Updated: 2026-08-10 12:17
Severity
Summary
Grocy's API request-body parser (controllers/Api/BaseApiController.php, GetParsedAndFilteredRequestBody) purifies incoming field values with HTMLPurifier, then manually reverses HTML-entity encoding of the resulting output by replacing &lt;, &gt;, and &amp; back to <, >, and & immediately after purification.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unknown",
"product": "grocy",
"programFiles": [
"controllers/Api/BaseApiController.php"
],
"vendor": "grocy",
"versions": [
{
"status": "affected",
"version": "0"
}
]
}
],
"source": "309f9ea4-e3e9-4c6c-b79d-e8eb01244f2c"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Grocy\u0027s API request-body parser (controllers/Api/BaseApiController.php, GetParsedAndFilteredRequestBody) purifies incoming field values with HTMLPurifier, then manually reverses HTML-entity encoding of the resulting output by replacing \u0026amp;lt;, \u0026amp;gt;, and \u0026amp;amp; back to \u003c, \u003e, and \u0026 immediately after purification."
}
],
"id": "CVE-2026-71236",
"lastModified": "2026-08-10T12:17:26.090",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.7,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.3,
"impactScore": 5.8,
"source": "309f9ea4-e3e9-4c6c-b79d-e8eb01244f2c",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-71236",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-05T12:48:19.387893Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-08-05T11:16:26.377",
"references": [
{
"source": "309f9ea4-e3e9-4c6c-b79d-e8eb01244f2c",
"url": "https://github.com/grocy/grocy"
}
],
"sourceIdentifier": "309f9ea4-e3e9-4c6c-b79d-e8eb01244f2c",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"source": "309f9ea4-e3e9-4c6c-b79d-e8eb01244f2c",
"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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