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VulnerabilityPublished

CVE-2025-7773: Rockwell Automation 5032-CFGB16M12P5DR · Incorrect Authorization

Affects Rockwell Automation 5032-CFGB16M12P5DRSource CVE Database V5

0

Not known to be exploited · CVSS 8.8 High.

Data as of 26 Oct 2026, 10:12 UTC

CVSS 4.0 base score
8.8High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 34% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:H/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 14 Aug 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
Rockwell Automation 5032-CFGB16M12P5DRAffected
  • =1.011
Fixed in–

AI-suggested

To mitigate this vulnerability, European organizations should implement the following specific measures: 1) Immediately assess and inventory all Rockwell Automation 5032-CFGB16M12P5DR modules running version 1.011 to identify affected devices. 3) Implement strict network segmentation to isolate industrial control systems from general IT networks and restrict access to the affected modules’ web interfaces to trusted management networks only. 4) Deploy network-level access controls such as firewalls and intrusion detection/prevention systems configured to monitor and block suspicious session-related traffic patterns. 5) Use VPNs or secure tunnels for remote access to the devices to add an additional authentication layer. 6) Monitor logs and network traffic for anomalous session activity indicative of session prediction or hijacking attempts. 7) Consider implementing compensating controls such as multi-factor authentication on management interfaces if supported. 8) Conduct regular security audits and penetration testing focused on session management and authorization mechanisms within industrial control systems.

Description

A security issue exists within the 5032 16pt Digital Configurable module’s web server. The web server’s session number increments at an interval that correlates to the last two consecutive sign in session interval, making it predictable.

References

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