CVE-2025-24899 | reNgine is an automated reconnaissance framework for web applications. A vulnerability was discovered in reNgine, where **an insider attacker with any role** (such as Auditor, Penetration Tester, or Sys Admin) **can extract sensitive information from other reNgine users.** After running a scan and obtaining vulnerabilities from a target, the attacker can retrieve details such as `username`, `password`, `email`, `role`, `first name`, `last name`, `status`, and
reNgine is an automated reconnaissance framework for web applications. A vulnerability was discovered in reNgine, where **an insider attacker with any role** (such as Auditor, Penetration Tester, or Sys Admin) **can extract sensitive information from other reNgine users.** After running a scan and obtaining vulnerabilities from a target, the attacker can retrieve details such as `username`, `password`, `email`, `role`, `first name`, `last name`, `status`, and `activity information` by making a GET request to `/api/listVulnerability/`. This issue has been addressed in version 2.2.0 and all users are advised to upgrade. There are no known workarounds for this vulnerability.
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📊 Historien-Charts — Criticals-Trend · Vendors · EPSS-Verteilung
| Tier | 2026-08-30 | 2026-09-18 |
|---|---|---|
| ≥90 % | 0 | 0 |
| ≥50 % | 0 | 0 |
| ≥10 % | 0 | 0 |
| <10 % | 300 | 300 |
CVE-2025-24899 | reNgine is an automated reconnaissance framework for web applications. A vulnerability was discovered in reNgine, where **an insider attacker with any role** (such as Auditor, Penetration Tester, or Sys Admin) **can extract sensitive information from other reNgine users.** After running a scan and obtaining vulnerabilities from a target, the attacker can retrieve details such as `username`, `password`, `email`, `role`, `first name`, `last name`, `status`, and
reNgine is an automated reconnaissance framework for web applications. A vulnerability was discovered in reNgine, where **an insider attacker with any role** (such as Auditor, Penetration Tester, or Sys Admin) **can extract sensitive inform