CVE-2026-34022
Overview
CVE-2026-34022 is a known-severity vulnerability. It was published on June 15, 2026.
Technical Description
The Wertheim SafeController Family 65000, Controller 65000 - AssemblyVersion 6.11.8130.22319, uses weak custom cryptographic algorithms with hard-coded cryptographic keys to protect communication. An attacker in an adversary-in-the-middle position can decrypt the data traffic. During reassessment, it was possible to break the encryption/decryption routine and decrypt messages without knowledge of the encryption key. It was also possible to gain knowledge about the encryption key by intercepting enough messages.
Remediation
Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Frequently Asked Questions
What is CVE-2026-34022?
CVE-2026-34022 is a known-severity vulnerability. It was published on June 15, 2026.
How severe is CVE-2026-34022?
CVSS score information is not yet available for this vulnerability. Check back as the CVE record is updated by NVD analysts.
How do I fix or remediate CVE-2026-34022?
Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2026-34022?
CyberStrike's AI-powered security agents can automatically detect CVE-2026-34022 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
AI-driven PR review catches vulnerable dependencies before they ship.
Browser-based exploitation validates findings with real proof-of-concept.