GHSA-WH2J-Q9XP-X425
Vulnerability from github – Published: 2025-03-16 21:35 – Updated: 2025-03-16 21:35
VLAI
Details
A vulnerability, which was classified as very critical, was found in IROAD Dash Cam X5 and Dash Cam X6 up to 20250308. This affects an unknown part. The manipulation leads to improper authorization. It is possible to initiate the attack remotely. The vendor was contacted early about this disclosure but did not respond in any way.
Severity
9.8 (Critical)
{
"affected": [],
"aliases": [
"CVE-2025-2345"
],
"database_specific": {
"cwe_ids": [
"CWE-266"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-03-16T19:15:36Z",
"severity": "CRITICAL"
},
"details": "A vulnerability, which was classified as very critical, was found in IROAD Dash Cam X5 and Dash Cam X6 up to 20250308. This affects an unknown part. The manipulation leads to improper authorization. It is possible to initiate the attack remotely. The vendor was contacted early about this disclosure but did not respond in any way.",
"id": "GHSA-wh2j-q9xp-x425",
"modified": "2025-03-16T21:35:03Z",
"published": "2025-03-16T21:35:03Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-2345"
},
{
"type": "WEB",
"url": "https://github.com/geo-chen/IROAD/blob/main/README.md#finding-5-managing-settings-to-obtain-sensitive-data-and-sabotaging-car-battery"
},
{
"type": "WEB",
"url": "https://vuldb.com/?ctiid.299811"
},
{
"type": "WEB",
"url": "https://vuldb.com/?id.299811"
},
{
"type": "WEB",
"url": "https://vuldb.com/?submit.516883"
}
],
"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"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/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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