Djl

DJL (Deep Java Library) is a modest machine-learning framework that provides abstraction layers across deep-learning engines, with a narrow product scope centered on the core library itself. The observed vulnerability pattern reflects path-traversal weaknesses, which are characteristic of file-handling and resource-loading code paths that bridge user-supplied inputs to filesystem operations. Current CVE counts, severity, and exploitation status are shown alongside this summary.