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CVE-2026-22639

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VulnerabilityCVE-2026-22639cvecve-2026-22639
Published: Thu Jan 15 2026 (01/15/2026, 13:12:03 UTC)
Source: CVE Database V5
Vendor/Project: SICK AG
Product: Incoming Goods Suite

AI-Powered Analysis

AILast updated: 01/22/2026, 19:18:15 UTC

Technical Analysis

CVE-2026-22639 is a vulnerability identified in the Incoming Goods Suite product by SICK AG, a company known for industrial sensor solutions and automation products. The vulnerability is characterized by a CVSS 3.1 vector of AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N, indicating that it can be exploited remotely over the network with low attack complexity, requires low-level privileges, and does not require user interaction. The scope is unchanged, and the impact is limited to confidentiality, with no effect on integrity or availability. This suggests an information disclosure vulnerability, potentially allowing an attacker with some authenticated access to remotely extract sensitive information from the system. The lack of known exploits in the wild and absence of published patches indicate the vulnerability is newly disclosed and may not yet be actively exploited. The Incoming Goods Suite is likely used in industrial and logistics environments to manage and track incoming shipments and goods, meaning the vulnerability could expose sensitive operational data or business information. The technical details are sparse, but the vulnerability's nature implies a need for careful access control and monitoring to prevent unauthorized data access. The vulnerability's presence in a specialized industrial product highlights the importance of securing supply chain and manufacturing IT environments.

Potential Impact

For European organizations, particularly those in manufacturing, logistics, and supply chain management, this vulnerability poses a risk of limited information disclosure. Confidentiality breaches could expose sensitive operational data, shipment details, or proprietary business information, potentially leading to competitive disadvantage or regulatory compliance issues under GDPR if personal data is involved. Although the vulnerability does not affect system integrity or availability, the leakage of confidential data could facilitate further attacks or espionage. The remote exploitability and low attack complexity increase the risk of exploitation, especially if attackers gain low-level credentials through phishing or insider threats. The absence of user interaction requirements means automated attacks are feasible once access is obtained. Organizations relying on SICK AG's Incoming Goods Suite for critical supply chain operations could face operational disruptions indirectly if sensitive information is leaked or used maliciously. The impact is thus primarily on confidentiality with potential secondary effects on business continuity and compliance.

Mitigation Recommendations

1. Implement strict network segmentation to isolate the Incoming Goods Suite from general corporate networks and the internet, limiting remote access only to trusted hosts and administrators. 2. Enforce strong authentication and access controls to ensure only authorized personnel with necessary privileges can access the system, reducing the risk of credential compromise. 3. Monitor network traffic and system logs for unusual access patterns or data exfiltration attempts, employing intrusion detection systems tailored for industrial environments. 4. Engage with SICK AG for timely updates and patches; apply security updates as soon as they become available to remediate the vulnerability. 5. Conduct regular security audits and vulnerability assessments of the Incoming Goods Suite and related infrastructure to identify and address potential weaknesses. 6. Train staff on security best practices, particularly regarding credential management and recognizing phishing attempts that could lead to privilege escalation. 7. Consider deploying application-layer firewalls or proxies to filter and control traffic to the Incoming Goods Suite, adding an additional security layer.

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Technical Details

Data Version
5.2
Assigner Short Name
SICK AG
Date Reserved
2026-01-08T09:59:06.198Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 6968ec9a4c611209ad10acf1

Added to database: 1/15/2026, 1:33:14 PM

Last enriched: 1/22/2026, 7:18:15 PM

Last updated: 2/7/2026, 5:31:25 AM

Views: 56

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