GHSA-W423-2PCR-P665
Vulnerability from github – Published: 2026-06-30 15:30 – Updated: 2026-06-30 15:30
VLAI
Details
KTM System e-BOK is vulnerable to Cross‑Site Request Forgery (CSRF) in both the email-change and password-change functionalities. An attacker can craft a malicious website that, when visited by an authenticated user, automatically sends a forged POST request to the application. This allows the attacker to trigger an unauthorized email or password change on behalf of the victim without their knowledge or interaction.
This issue was fixed in the patch published in June 2026.
Severity
{
"affected": [],
"aliases": [
"CVE-2026-35096"
],
"database_specific": {
"cwe_ids": [
"CWE-352"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-06-30T14:16:26Z",
"severity": "MODERATE"
},
"details": "KTM System e-BOK is vulnerable to Cross\u2011Site Request Forgery (CSRF) in both the email-change and password-change functionalities. An attacker can craft a malicious website\u00a0that, when visited by an authenticated user, automatically sends a forged POST request to the application. This allows the attacker to trigger an unauthorized email or password change on behalf of the victim without their knowledge or interaction.\n\nThis issue was fixed in the patch published in June 2026.",
"id": "GHSA-w423-2pcr-p665",
"modified": "2026-06-30T15:30:46Z",
"published": "2026-06-30T15:30:46Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-35096"
},
{
"type": "WEB",
"url": "https://cert.pl/posts/2026/06/CVE-2026-35095"
},
{
"type": "WEB",
"url": "https://ktmsystem.pl/internetowe-biuro-obslugi-klienta"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"type": "CVSS_V4"
}
]
}
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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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