CVE-2026-1627: CWE-327 Use of a Broken or Risky Cryptographic Algorithm in SICK AG SICK LMS1000
An attacker may exploit the use of outdated and weak MAC algorithms in the device’s SSH service to potentially compromise the integrity of the SSH session, allowing manipulation of transmitted data if the attacker can interact with the network traffic.
AI Analysis
Technical Summary
CVE-2026-1627 is a medium-severity vulnerability affecting the SICK LMS1000 device, specifically its SSH service implementation. The root cause is the use of outdated and weak cryptographic Message Authentication Code (MAC) algorithms, which are responsible for ensuring the integrity of data transmitted over SSH sessions. Weak MAC algorithms can be susceptible to cryptographic attacks such as forgery or collision attacks, enabling an attacker who can observe or manipulate network traffic to alter the data stream without detection. This compromises the integrity of the SSH session, potentially allowing malicious modification of commands or data exchanged between the client and the device. The vulnerability requires the attacker to have network access to the device's SSH port and some level of user interaction, but no authentication is necessary, increasing the attack surface. Although confidentiality and availability are not directly impacted, the integrity compromise can have serious operational consequences, especially in industrial environments where SICK LMS1000 devices are deployed for safety and automation tasks. No patches or mitigations have been officially released by SICK AG as of the publication date. The CVSS v3.1 base score of 6.5 reflects a network attack vector with low complexity, no privileges required, user interaction needed, and an impact limited to integrity. The vulnerability is categorized under CWE-327, indicating the use of broken or risky cryptographic algorithms.
Potential Impact
The primary impact of this vulnerability is the potential compromise of data integrity within SSH sessions to the SICK LMS1000 device. For organizations relying on these devices in industrial automation, manufacturing, or safety-critical environments, manipulated SSH commands or data could lead to incorrect device behavior, process disruptions, or safety hazards. Since the vulnerability does not affect confidentiality or availability, data leakage or denial of service are less likely. However, the ability to alter transmitted data undetected can undermine trust in device communications and lead to operational errors or sabotage. The lack of authentication requirement and the network-based attack vector increase the risk of exploitation in environments where the device’s SSH service is exposed or accessible from less secure network segments. Given the specialized nature of the product, the impact is concentrated on industries using SICK LMS1000 devices, but the consequences in those sectors can be significant.
Mitigation Recommendations
To mitigate this vulnerability, organizations should first restrict network access to the SICK LMS1000 SSH service by implementing strict firewall rules and network segmentation to limit exposure only to trusted management hosts. Disable SSH access from untrusted networks or the internet. Monitor network traffic for unusual SSH session behavior that could indicate tampering attempts. If possible, configure the device or its SSH service to use stronger, modern MAC algorithms, or disable weak MAC algorithms if configurable. Engage with SICK AG support to obtain guidance on firmware updates or patches addressing this vulnerability, and apply them promptly once available. Additionally, implement multi-factor authentication and strong user access controls for device management to reduce the risk of unauthorized access. Regularly audit device configurations and logs for signs of compromise. In environments where patching is delayed, consider using VPNs or encrypted tunnels to protect SSH traffic integrity externally.
Affected Countries
Germany, United States, China, Japan, South Korea, France, United Kingdom, Italy, Canada, Australia
CVE-2026-1627: CWE-327 Use of a Broken or Risky Cryptographic Algorithm in SICK AG SICK LMS1000
Description
An attacker may exploit the use of outdated and weak MAC algorithms in the device’s SSH service to potentially compromise the integrity of the SSH session, allowing manipulation of transmitted data if the attacker can interact with the network traffic.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-1627 is a medium-severity vulnerability affecting the SICK LMS1000 device, specifically its SSH service implementation. The root cause is the use of outdated and weak cryptographic Message Authentication Code (MAC) algorithms, which are responsible for ensuring the integrity of data transmitted over SSH sessions. Weak MAC algorithms can be susceptible to cryptographic attacks such as forgery or collision attacks, enabling an attacker who can observe or manipulate network traffic to alter the data stream without detection. This compromises the integrity of the SSH session, potentially allowing malicious modification of commands or data exchanged between the client and the device. The vulnerability requires the attacker to have network access to the device's SSH port and some level of user interaction, but no authentication is necessary, increasing the attack surface. Although confidentiality and availability are not directly impacted, the integrity compromise can have serious operational consequences, especially in industrial environments where SICK LMS1000 devices are deployed for safety and automation tasks. No patches or mitigations have been officially released by SICK AG as of the publication date. The CVSS v3.1 base score of 6.5 reflects a network attack vector with low complexity, no privileges required, user interaction needed, and an impact limited to integrity. The vulnerability is categorized under CWE-327, indicating the use of broken or risky cryptographic algorithms.
Potential Impact
The primary impact of this vulnerability is the potential compromise of data integrity within SSH sessions to the SICK LMS1000 device. For organizations relying on these devices in industrial automation, manufacturing, or safety-critical environments, manipulated SSH commands or data could lead to incorrect device behavior, process disruptions, or safety hazards. Since the vulnerability does not affect confidentiality or availability, data leakage or denial of service are less likely. However, the ability to alter transmitted data undetected can undermine trust in device communications and lead to operational errors or sabotage. The lack of authentication requirement and the network-based attack vector increase the risk of exploitation in environments where the device’s SSH service is exposed or accessible from less secure network segments. Given the specialized nature of the product, the impact is concentrated on industries using SICK LMS1000 devices, but the consequences in those sectors can be significant.
Mitigation Recommendations
To mitigate this vulnerability, organizations should first restrict network access to the SICK LMS1000 SSH service by implementing strict firewall rules and network segmentation to limit exposure only to trusted management hosts. Disable SSH access from untrusted networks or the internet. Monitor network traffic for unusual SSH session behavior that could indicate tampering attempts. If possible, configure the device or its SSH service to use stronger, modern MAC algorithms, or disable weak MAC algorithms if configurable. Engage with SICK AG support to obtain guidance on firmware updates or patches addressing this vulnerability, and apply them promptly once available. Additionally, implement multi-factor authentication and strong user access controls for device management to reduce the risk of unauthorized access. Regularly audit device configurations and logs for signs of compromise. In environments where patching is delayed, consider using VPNs or encrypted tunnels to protect SSH traffic integrity externally.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- SICK AG
- Date Reserved
- 2026-01-29T15:06:30.788Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 69a15faf32ffcdb8a2106777
Added to database: 2/27/2026, 9:11:11 AM
Last enriched: 3/6/2026, 8:35:51 PM
Last updated: 4/13/2026, 1:19:50 PM
Views: 52
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