CVE-2025-14027 Overview
Multiple denial-of-service vulnerabilities exist in Rockwell Automation products. These issues can be triggered through various crafted inputs, including malformed Class 3 messages, memory leak conditions, and other resource exhaustion scenarios. Exploitation may cause the device to become unresponsive and, in some cases, result in a major nonrecoverable fault. Recovery may require a restart.
Critical Impact
Network-accessible industrial control devices may become completely unresponsive when exploited, potentially causing major nonrecoverable faults that require physical device restarts to recover.
Affected Products
- Rockwell Automation industrial control products (refer to Rockwell Automation Security Advisory SD1769 for specific product details)
Discovery Timeline
- 2026-01-20 - CVE CVE-2025-14027 published to NVD
- 2026-01-20 - Last updated in NVD database
Technical Details for CVE-2025-14027
Vulnerability Analysis
This vulnerability is classified under CWE-401 (Missing Release of Memory after Effective Lifetime), commonly known as a memory leak vulnerability. The affected Rockwell Automation products fail to properly release allocated memory resources under certain conditions, leading to progressive memory exhaustion that can render devices unresponsive.
The vulnerability can be exploited remotely over the network without requiring authentication or user interaction. An attacker can send specially crafted network packets, including malformed Class 3 messages (commonly used in industrial protocols like EtherNet/IP), to trigger the memory leak condition. As memory resources become depleted, the device's ability to process legitimate requests degrades until it becomes completely unresponsive.
In severe cases, exploitation leads to a major nonrecoverable fault condition, which is particularly concerning in industrial control system (ICS) environments where device availability is critical for operational continuity and safety.
Root Cause
The root cause is improper memory management characterized by CWE-401 (Missing Release of Memory after Effective Lifetime). The affected software allocates memory to process incoming network requests but fails to release this memory under certain error conditions or when processing malformed inputs. This creates a memory leak that accumulates over time or can be rapidly triggered through sustained malicious input.
Attack Vector
The vulnerability is exploitable via network access without requiring any authentication credentials or user interaction. An attacker positioned on the same network segment as the vulnerable device can send crafted network packets to trigger the denial-of-service condition. The attack specifically leverages:
- Malformed Class 3 messages that trigger error handling paths where memory is not properly released
- Sustained input sequences designed to rapidly exhaust available memory resources
- Crafted packets that cause the device to enter fault states requiring physical intervention
The attack can be performed remotely, making it particularly dangerous for internet-exposed industrial control systems or environments where network segmentation is insufficient.
Detection Methods for CVE-2025-14027
Indicators of Compromise
- Abnormal memory utilization patterns on affected Rockwell Automation devices showing progressive increase without corresponding workload changes
- Increased frequency of device unresponsiveness or unexpected restarts
- Unusual network traffic patterns with high volumes of malformed or atypical Class 3 messages targeting industrial control systems
- Device logs showing memory allocation failures or resource exhaustion warnings
Detection Strategies
- Deploy network intrusion detection systems (IDS) configured to detect malformed industrial protocol messages, particularly anomalous Class 3 message patterns
- Implement network traffic analysis to identify unusual volumes of requests targeting affected devices
- Configure SIEM rules to correlate device availability issues with network traffic anomalies
- Establish baseline memory usage profiles for affected devices and alert on significant deviations
Monitoring Recommendations
- Enable detailed logging on affected Rockwell Automation devices and forward logs to centralized security monitoring
- Implement continuous availability monitoring with automated alerts for device unresponsiveness
- Monitor network traffic at ICS network boundaries for suspicious patterns
- Track and trend device restart frequency to identify potential exploitation attempts
How to Mitigate CVE-2025-14027
Immediate Actions Required
- Review the Rockwell Automation Security Advisory SD1769 for specific affected products and available patches
- Implement network segmentation to isolate affected industrial control devices from untrusted networks
- Apply firewall rules to restrict network access to affected devices to only authorized systems and users
- Ensure affected devices are not directly accessible from the internet
Patch Information
Rockwell Automation has published security advisory SD1769 addressing this vulnerability. Organizations should consult the official security advisory for specific patch availability, affected firmware versions, and detailed remediation guidance. Apply vendor-provided patches as soon as they become available after appropriate testing in non-production environments.
Workarounds
- Implement strict network segmentation following ICS security best practices to isolate vulnerable devices
- Deploy application-layer firewalls or industrial protocol-aware security appliances to filter malformed messages before they reach vulnerable devices
- Establish rate limiting on network traffic to affected devices to mitigate resource exhaustion attacks
- Enable any available device-level resource monitoring and configure automatic restart capabilities as a last resort recovery mechanism
- Consider placing affected devices behind VPN connections to limit network exposure
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

