Description
The credentials of the users stored in the system's local database can be used for the log in, making it possible for an attacker to gain unauthorized access. This could potentially affect the confidentiality of the application.
Affected products
sick: baggage analytics; sick: logistic diagnostic analytics; sick: package analytics; sick: tire analytics
References6
- sick.com/psirt Vendor Advisory
- www.sick.com/.well-known/csaf/white/2025/sca-2025-0010.json Vendor Advisory
- www.sick.com/.well-known/csaf/white/2025/sca-2025-0010.pdf Vendor Advisory
- www.cisa.gov/resources-tools/resources/ics-recommended-practices US Government Resource
- www.first.org/cvss/calculator/3.1 Not Applicable
- www.sick.com/media/docs/9/19/719/special_information_sick_opera… Product
Metrics
- CVSS 3.1
-
7.5
HIGH
Score source: NVD
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N - EPSS — exploit probability
- 0% percentile: 26 · as of 9 November 2026
- CWE
- CWE-288
Could this be exploited in your environment?
A patch closes the known hole. A penetration test shows what an attacker can still reach — with proof.