{"action":"Upgrade tensorflow-gpu to 2.2.1 or later.","affected":[{"fixed":"2.2.1","introduced":"2.2.0"},{"fixed":"2.3.1","introduced":"2.3.0"}],"component":"tensorflow-gpu","cve_ids":["CVE-2020-15213"],"ecosystem":"PyPI","epss":0.0076,"exploited":false,"fixed_versions":["2.2.1","2.3.1"],"ghsa_id":"GHSA-hjmq-236j-8m87","id":"tcs_01M5KGAH4MZGSX5G22QN1SQWN2","modified_at":"2023-12-06T01:00:17.426912Z","published_at":"2020-09-25T19:15:00Z","references":["https://osv.dev/vulnerability/PYSEC-2020-328","https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hjmq-236j-8m87","https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1","https://github.com/tensorflow/tensorflow/commit/204945b19e44b57906c9344c0d00120eeeae178a"],"severity":{"label":"unknown"},"sources":[{"source":"osv","source_id":"PYSEC-2020-328","url":"https://osv.dev/vulnerability/PYSEC-2020-328"}],"summary":"In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a denial of service by causing an out of memory allocation in the implementation of segment sum. Since code use"}