Dependency-Track is a Component Analysis platform that allows organizations to identify and reduce risk in the software supply chain. Performing a login request against the /api/v1/user/login endpoint with a username that exist in the system takes significantly longer than performing the same action with a username that is not known by the system. The observable difference in request duration can be leveraged by actors to enumerate valid names of managed users. LDAP and OpenID Connect users are not affected. The issue has been fixed in Dependency-Track 4.12.2.
This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 5.3, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction and does not require pre-existing privileges . The vulnerability impacts limited data confidentiality, for affected systems.
Reported in 2024, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.
2024-12-04T16:15:26.537
2026-04-15T00:35:42.020
Deferred
CVSSv3.1: 5.3 (MEDIUM)
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SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For affected software, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.