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PatchSiren cyber security CVE debrief

CVE-2025-11694 Rockwell Automation CVE debrief

CVE-2025-11694 is a HIGH severity vulnerability with a CVSS score of 8.7. The vulnerability exists within 1769 CompactLogix controllers due to the missing validation of sequence numbers and source IP addresses in the CIP protocol. This allows an attacker to abuse the exposed Connection ID's visible on the web interface to perform denial-of-service attacks, resulting in a minor fault.

Vendor
Rockwell Automation
Product
CompactLogix 5370
CVSS
HIGH 7.5
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-16
Original CVE updated
2026-06-16
Advisory published
2026-06-16
Advisory updated
2026-06-16

Who should care

Administrators and users of 1769 CompactLogix controllers should be aware of this vulnerability and take necessary actions to mitigate the risk.

Technical summary

The vulnerability is caused by the missing validation of sequence numbers and source IP addresses in the CIP protocol. This allows an attacker to perform denial-of-service attacks.

Defensive priority

HIGH

Recommended defensive actions

  • Apply patches or updates from the vendor as soon as they are available.
  • Restrict access to the web interface of the 1769 CompactLogix controllers.
  • Monitor the system for any suspicious activity.

Evidence notes

The vendor is Rockwell Automation, as indicated by the evidence in the vendor section.

Sources and references

Verified primary and authoritative sources

  • CVE-2025-11694 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2025-11694

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2025-11694 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2025-11694

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.