CVE-2026-1626: CWE-327 Use of a Broken or Risky Cryptographic Algorithm in SICK AG SICK LMS1000
An attacker may exploit the use of weak CBC-based cipher suites in the device’s SSH service to potentially observe or manipulate parts of the encrypted SSH communication, if they are able to intercept or interact with the network traffic.
AI Analysis
Technical Summary
CVE-2026-1626 identifies a cryptographic vulnerability in the SICK AG LMS1000 device's SSH service, specifically due to the use of weak Cipher Block Chaining (CBC)-based cipher suites. CBC mode, while historically common, is known to be susceptible to certain cryptographic attacks such as padding oracle attacks, which can allow attackers to decrypt or manipulate encrypted data under certain conditions. In this case, an attacker capable of intercepting or interacting with the network traffic can exploit these weak cipher suites to observe or alter parts of the SSH communication. The vulnerability does not require prior authentication but does require user interaction, such as initiating an SSH session to the device. The CVSS score of 6.5 (medium) reflects a network attack vector with low attack complexity and no privileges required, but user interaction is necessary. The impact primarily affects confidentiality, as attackers may gain access to sensitive information transmitted over SSH, but integrity and availability remain unaffected. No patches or exploits are currently known, but the risk remains due to the cryptographic weakness. The vulnerability is categorized under CWE-327, which covers the use of broken or risky cryptographic algorithms. Given the critical role of SICK LMS1000 devices in industrial automation and safety systems, this vulnerability could have serious implications if exploited.
Potential Impact
The primary impact of CVE-2026-1626 is the potential compromise of confidentiality in SSH communications with the SICK LMS1000 device. Attackers able to intercept network traffic could decrypt or manipulate SSH sessions, potentially exposing sensitive operational data or credentials. Although integrity and availability are not directly impacted, the exposure of confidential information could lead to further attacks or unauthorized access. Industrial environments relying on LMS1000 devices for safety and automation could face increased risk of espionage, data leakage, or indirect operational disruptions if attackers leverage this vulnerability to gain footholds or gather intelligence. The requirement for user interaction and network access limits the ease of exploitation but does not eliminate risk, especially in environments with insufficient network segmentation or monitoring. Organizations worldwide using these devices in critical infrastructure, manufacturing, or logistics could face operational and reputational damage if this vulnerability is exploited.
Mitigation Recommendations
To mitigate CVE-2026-1626, organizations should first verify if their SICK LMS1000 devices are running vulnerable versions and disable all CBC-based cipher suites in the SSH configuration to prevent use of weak cryptography. Network administrators should enforce the use of strong, modern cipher suites such as those based on AES-GCM or ChaCha20-Poly1305. If available, apply firmware updates or patches from SICK AG that address this vulnerability. In the absence of patches, consider isolating LMS1000 devices on segmented networks with strict access controls to limit exposure to untrusted users. Implement network monitoring to detect anomalous SSH traffic or interception attempts. Educate users to minimize unnecessary SSH sessions to these devices and employ multi-factor authentication where possible to reduce risk. Regularly review cryptographic configurations on all industrial devices to ensure compliance with current best practices. Finally, coordinate with SICK AG support channels for updates and advisories related to this vulnerability.
Affected Countries
Germany, United States, China, Japan, South Korea, France, Italy, United Kingdom, Canada, Australia
CVE-2026-1626: CWE-327 Use of a Broken or Risky Cryptographic Algorithm in SICK AG SICK LMS1000
Description
An attacker may exploit the use of weak CBC-based cipher suites in the device’s SSH service to potentially observe or manipulate parts of the encrypted SSH communication, if they are able to intercept or interact with the network traffic.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-1626 identifies a cryptographic vulnerability in the SICK AG LMS1000 device's SSH service, specifically due to the use of weak Cipher Block Chaining (CBC)-based cipher suites. CBC mode, while historically common, is known to be susceptible to certain cryptographic attacks such as padding oracle attacks, which can allow attackers to decrypt or manipulate encrypted data under certain conditions. In this case, an attacker capable of intercepting or interacting with the network traffic can exploit these weak cipher suites to observe or alter parts of the SSH communication. The vulnerability does not require prior authentication but does require user interaction, such as initiating an SSH session to the device. The CVSS score of 6.5 (medium) reflects a network attack vector with low attack complexity and no privileges required, but user interaction is necessary. The impact primarily affects confidentiality, as attackers may gain access to sensitive information transmitted over SSH, but integrity and availability remain unaffected. No patches or exploits are currently known, but the risk remains due to the cryptographic weakness. The vulnerability is categorized under CWE-327, which covers the use of broken or risky cryptographic algorithms. Given the critical role of SICK LMS1000 devices in industrial automation and safety systems, this vulnerability could have serious implications if exploited.
Potential Impact
The primary impact of CVE-2026-1626 is the potential compromise of confidentiality in SSH communications with the SICK LMS1000 device. Attackers able to intercept network traffic could decrypt or manipulate SSH sessions, potentially exposing sensitive operational data or credentials. Although integrity and availability are not directly impacted, the exposure of confidential information could lead to further attacks or unauthorized access. Industrial environments relying on LMS1000 devices for safety and automation could face increased risk of espionage, data leakage, or indirect operational disruptions if attackers leverage this vulnerability to gain footholds or gather intelligence. The requirement for user interaction and network access limits the ease of exploitation but does not eliminate risk, especially in environments with insufficient network segmentation or monitoring. Organizations worldwide using these devices in critical infrastructure, manufacturing, or logistics could face operational and reputational damage if this vulnerability is exploited.
Mitigation Recommendations
To mitigate CVE-2026-1626, organizations should first verify if their SICK LMS1000 devices are running vulnerable versions and disable all CBC-based cipher suites in the SSH configuration to prevent use of weak cryptography. Network administrators should enforce the use of strong, modern cipher suites such as those based on AES-GCM or ChaCha20-Poly1305. If available, apply firmware updates or patches from SICK AG that address this vulnerability. In the absence of patches, consider isolating LMS1000 devices on segmented networks with strict access controls to limit exposure to untrusted users. Implement network monitoring to detect anomalous SSH traffic or interception attempts. Educate users to minimize unnecessary SSH sessions to these devices and employ multi-factor authentication where possible to reduce risk. Regularly review cryptographic configurations on all industrial devices to ensure compliance with current best practices. Finally, coordinate with SICK AG support channels for updates and advisories related to this vulnerability.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- SICK AG
- Date Reserved
- 2026-01-29T15:06:29.934Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 69a15faf32ffcdb8a210676f
Added to database: 2/27/2026, 9:11:11 AM
Last enriched: 3/6/2026, 8:35:41 PM
Last updated: 4/13/2026, 1:31:09 PM
Views: 125
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.