CVE-2019-19986
Last modified
CVE-2019-19986 is a high-severity vulnerability rated 7.5/10 on the CVSS scale. An issue was discovered in Selesta Visual Access Manager (VAM) 4.15.0 through 4.29. An attacker without authentication is able to execute arbitrary SQL SELECT statements by injecting the HTTP (POST or GET) parameter persoid into /tools/VamPersonPhoto.php. EPSS estimates a 1.33% chance of exploitation in the next 30 days.
Description
An issue was discovered in Selesta Visual Access Manager (VAM) 4.15.0 through 4.29. An attacker without authentication is able to execute arbitrary SQL SELECT statements by injecting the HTTP (POST or GET) parameter persoid into /tools/VamPersonPhoto.php. The SQL Injection type is Error-based (this means that relies on error messages thrown by the database server to obtain information about the structure of the database).
Metrics
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Weakness Enumeration
Affected Software
| Vendor | Product | Versions |
|---|---|---|
| Seling | Visual Access Manager | >= 4.15.0, <= 4.29.0 |
References
- https://www.seling.it/Product
- https://www.seling.it/product/vam/Product, Vendor Advisory
- https://www.telecomitalia.com/tit/it/innovazione/cybersecurity/red-team.htmlExploit, Third Party Advisory
- https://www.seling.it/Product
- https://www.seling.it/product/vam/Product, Vendor Advisory
- https://www.telecomitalia.com/tit/it/innovazione/cybersecurity/red-team.htmlExploit, Third Party Advisory
Timeline
- Published
- Last Modified
- Status
- Modified
Frequently Asked Questions
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How Strix Helps
- How Strix found a critical auth bypass in etcdStrix autonomously discovered a critical authentication bypass in etcd, later designated CVE-2026-33413.
- Autonomous PentestingAI agents that find and validate exploitable vulnerabilities like this one across your applications.
- PR ReviewsPentest every pull request so vulnerable code is caught before it ships to production.
- AI Penetration TestingHow AI-driven penetration testing continuously covers your attack surface.
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