CVE-2025-27458
Last modified
CVE-2025-27458 is a high-severity vulnerability rated 7.5/10 on the CVSS scale. The VNC authentication mechanism bases on a challenge-response system where both server and client use the same password for encryption. The challenge is sent from the server to the client, is encrypted by the client and sent back. EPSS estimates a 0.17% chance of exploitation in the next 30 days.
Description
The VNC authentication mechanism bases on a challenge-response system where both server and client use the same password for encryption. The challenge is sent from the server to the client, is encrypted by the client and sent back. The server does the same encryption locally and if the responses match it is prooven that the client knows the correct password. Since all VNC communication is unencrypted, an attacker can obtain the challenge and response and try to derive the password from this information.
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 |
|---|---|---|
| Endress | Meac300-Fnade4 Firmware | All versions |
References
- https://sick.com/psirtVendor Advisory
- https://sick.com/psirtVendor Advisory
- https://sick.com/psirtVendor Advisory
- https://sick.com/psirtVendor Advisory
- https://www.cisa.gov/resources-tools/resources/ics-recommended-practicesUS Government Resource
- https://www.endress.comProduct
- https://www.first.org/cvss/calculator/3.1Not Applicable
Timeline
- Published
- Last Modified
- Status
- Analyzed
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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