Harnessing LLMs for Automating BOLA Detection
Unit 42's BOLABuster methodology uses LLMs to automate detection of broken object-level authorization vulnerabilities, uncovering flaws in Grafana, Harbor, and Easy!Appointments.
45
Incorrect user permission validation in Harbor <v2.9.5 and Harbor <v2.10.3 allows authenticated users to modify configurations.
Unit 42's BOLABuster methodology uses LLMs to automate detection of broken object-level authorization vulnerabilities, uncovering flaws in Grafana, Harbor, and Easy!Appointments.
Unit 42 found a BOLA flaw, CVE-2024-22278 (CVSS 6.4), letting Maintainers improperly alter Harbor project metadata; fixed in versions 2.9.5, 2.10.3, and 2.11.0.
Today 1.4K readers · 2.3K views · 1.8K reads · all time 160K views