GHSA-PF9G-3VW7-VGQF
Vulnerability from github – Published: 2026-08-05 12:31 – Updated: 2026-08-05 12:31
VLAI
Details
299Ko's public contact form (plugin/contact/controllers/ContactController.php, home()) sets raw POST field values (name, firstname, email, message) into the page template with no sanitization. The template engine's variable output function (common/Template.php, _show_var()) echoes values with no htmlspecialchars() call, and the sink template (contact.tpl) outputs these values unescaped into an HTML attribute and a textarea. An unauthenticated attacker can submit a payload such as name=">alert(document.domain) to achieve reflected XSS against any visitor who submits or is tricked into auto-submitting the form, including a targeted administrator, enabling session token theft.
Severity
6.1 (Medium)
{
"affected": [],
"aliases": [
"CVE-2026-71249"
],
"database_specific": {
"cwe_ids": [
"CWE-79"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-05T11:16:27Z",
"severity": "MODERATE"
},
"details": "299Ko\u0027s public contact form (plugin/contact/controllers/ContactController.php, home()) sets raw POST field values (name, firstname, email, message) into the page template with no sanitization. The template engine\u0027s variable output function (common/Template.php, _show_var()) echoes values with no htmlspecialchars() call, and the sink template (contact.tpl) outputs these values unescaped into an HTML attribute and a textarea. An unauthenticated attacker can submit a payload such as name=\"\u003e\u003cscript\u003ealert(document.domain)\u003c/script\u003e to achieve reflected XSS against any visitor who submits or is tricked into auto-submitting the form, including a targeted administrator, enabling session token theft.",
"id": "GHSA-pf9g-3vw7-vgqf",
"modified": "2026-08-05T12:31:32Z",
"published": "2026-08-05T12:31:32Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-71249"
},
{
"type": "WEB",
"url": "https://github.com/search?q=299ko\u0026type=repositories"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"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.
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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