GHSA-H849-WC5H-67MG
Vulnerability from github – Published: 2025-09-22 21:30 – Updated: 2025-09-22 21:30
VLAI
Details
Accela Automation Platform 22.2.3.0.230103 contains multiple vulnerabilities in the Test Script feature. An authenticated administrative user can execute arbitrary Java code on the server, resulting in remote code execution. In addition, improper input validation allows for arbitrary file write and server-side request forgery (SSRF), enabling interaction with internal or external systems. Successful exploitation can lead to full server compromise, unauthorized access to sensitive data, and further network exploitation.
Severity
9.1 (Critical)
{
"affected": [],
"aliases": [
"CVE-2025-57644"
],
"database_specific": {
"cwe_ids": [
"CWE-20"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-09-19T16:15:46Z",
"severity": "CRITICAL"
},
"details": "Accela Automation Platform 22.2.3.0.230103 contains multiple vulnerabilities in the Test Script feature. An authenticated administrative user can execute arbitrary Java code on the server, resulting in remote code execution. In addition, improper input validation allows for arbitrary file write and server-side request forgery (SSRF), enabling interaction with internal or external systems. Successful exploitation can lead to full server compromise, unauthorized access to sensitive data, and further network exploitation.",
"id": "GHSA-h849-wc5h-67mg",
"modified": "2025-09-22T21:30:18Z",
"published": "2025-09-22T21:30:18Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-57644"
},
{
"type": "WEB",
"url": "https://medium.com/@anvarkh/cve-2025-57644-remote-code-execution-ssrf-in-accela-eedc6bc4adfb"
},
{
"type": "WEB",
"url": "https://www.accela.com"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/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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