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PatchSiren cyber security CVE debrief

CVE-2026-0647 Rockwell Automation CVE debrief

CVE-2026-0647 is an improper authentication security issue within the 1794-AENTR adapter's embedded web server. The vulnerability allows an unauthenticated attacker to change the device's web interface password by sending a crafted HTTP GET request to a specific endpoint, without any prior authentication being required. If exploited, this could lead to unauthorized access, account takeover, and loss of the device’s embedded web server’s availability.

Vendor
Rockwell Automation
Product
1794-AENTR Adapter
CVSS
CRITICAL 9.4
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

Users of the 1794-AENTR adapter, particularly those in industrial automation settings, should be aware of this vulnerability and take steps to mitigate it.

Technical summary

The vulnerability has a CVSS score of 8.8 and is classified as HIGH severity. It is related to CWE-306, which involves improper authentication.

Defensive priority

HIGH

Recommended defensive actions

  • Apply patches or updates as recommended by the vendor.
  • Restrict access to the embedded web server.
  • Monitor for suspicious activity.

Evidence notes

The CVE record was published on 2026-06-16T15:16:33.687Z and modified on 2026-06-16T15:26:04.250Z. The vendor is listed as Unknown Vendor, but there is a reference to Rockwell Automation.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-0647 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-0647

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

  • CVE-2026-0647 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-0647

    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.