PatchSiren

PatchSiren cyber security CVE debrief

CVE-2026-0646 Rockwell Automation CVE debrief

CVE-2026-0646 is a HIGH-severity denial-of-service vulnerability in the 1794-AENTR adapter. The issue arises from improper memory handling of CIP protocol requests, which can cause the adapter to fault and lose connection to its associated I/O modules. A manual reset is required to recover from this vulnerability. The Common Vulnerability Scoring System (CVSS) score for this vulnerability is 8.7.

Vendor
Rockwell Automation
Product
FLEX I/O EtherNet/IP Adapters
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

Organizations using the 1794-AENTR adapter should prioritize patching this vulnerability to prevent potential denial-of-service attacks.

Technical summary

The vulnerability exists due to improper memory handling of CIP protocol requests in the 1794-AENTR adapter. This can result in the adapter faulting and losing connection to its associated I/O modules.

Defensive priority

HIGH

Recommended defensive actions

  • Apply the necessary patches or updates to the 1794-AENTR adapter as recommended by the vendor.
  • Review and implement secure configuration and operation practices for the adapter and its associated I/O modules.

Evidence notes

The CVE record and details were obtained from the official CVE.org and NVD sources.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-0646 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-0646

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

  • CVE-2026-0646 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-0646

    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.