CVE-2025-3289 Rockwell Automation CVE debrief

Who should care

Organizations running Rockwell Automation Arena, especially engineering, operator, and industrial automation teams that use Arena on Windows workstations or other user systems where DOE files may be opened.

Technical summary

The advisory describes a local code execution issue in Rockwell Automation Arena affecting version 16.20.08 and earlier. The flaw is attributed to improper validation of user-supplied data, resulting in a stack-based memory buffer overflow. Exploitation requires user interaction: a legitimate user must open a malicious DOE file. The stated impact is information disclosure and arbitrary code execution on the affected system.

Defensive priority

High — user interaction is required, but the impact includes arbitrary code execution on affected workstations; prioritize patching Arena installations and reducing exposure to untrusted DOE files.

Recommended defensive actions

• Upgrade Rockwell Automation Arena to version 16.20.09 or later as recommended by the vendor.
• Treat DOE files from untrusted or unverified sources as suspicious and limit who can open them.
• Apply least-privilege, application control, and workstation hardening on systems that run Arena.
• Follow Rockwell Automation security guidance and CISA ICS recommended practices for defensive depth and industrial system hygiene.
• Review affected engineering workstations for unexpected crashes, abnormal behavior, or unauthorized code execution attempts after opening DOE files.

Evidence notes

Primary evidence comes from the CISA CSAF advisory ICSA-25-100-07 for CVE-2025-3289, published 2025-04-10 and revised 2025-05-06 with typo-only changes. The advisory names Rockwell Automation Arena as the affected product, specifies the affected version range as <=16.20.08, and recommends upgrading to 16.20.09 or later. The supplied CVSS vector (AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H) supports a local, user-interaction-required exploitation path with high impact.

Sources and 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.