GHSA-HCHQ-288F-9HJC
Vulnerability from github – Published: 2026-08-05 12:31 – Updated: 2026-08-05 12:31
VLAI
Details
IOTSmartHome's gui/login.php checkCookie() function builds an authentication query as SELECT * FROM users WHERE ID='' after base64-decoding the client-supplied lastLogin cookie via safe_decode(), which performs URL-safe base64 decoding with no sanitization of the decoded value before it is concatenated into the SQL string. An unauthenticated attacker can set a lastLogin cookie containing a base64-encoded SQL injection payload (e.g. base64("' OR '1'='1")) to bypass authentication and, via UNION-based injection, extract arbitrary data including user credentials.
Severity
9.8 (Critical)
{
"affected": [],
"aliases": [
"CVE-2026-71231"
],
"database_specific": {
"cwe_ids": [
"CWE-89"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-05T11:16:25Z",
"severity": "CRITICAL"
},
"details": "IOTSmartHome\u0027s gui/login.php checkCookie() function builds an authentication query as SELECT * FROM users WHERE ID=\u0027\u003cdecoded lastLogin cookie\u003e\u0027 after base64-decoding the client-supplied lastLogin cookie via safe_decode(), which performs URL-safe base64 decoding with no sanitization of the decoded value before it is concatenated into the SQL string. An unauthenticated attacker can set a lastLogin cookie containing a base64-encoded SQL injection payload (e.g. base64(\"\u0027 OR \u00271\u0027=\u00271\")) to bypass authentication and, via UNION-based injection, extract arbitrary data including user credentials.",
"id": "GHSA-hchq-288f-9hjc",
"modified": "2026-08-05T12:31:30Z",
"published": "2026-08-05T12:31:30Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-71231"
},
{
"type": "WEB",
"url": "https://github.com/thebradleysanders/IOTSmartHome"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
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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.
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