{"action":"Upgrade vllm to 0.19.0 or later.","affected":[{"fixed":"0.19.0","introduced":"0.7.0"}],"component":"vllm","cve_ids":["CVE-2026-34755"],"ecosystem":"PyPI","epss":0.00464,"exploited":false,"fixed_versions":["0.19.0"],"ghsa_id":"GHSA-pq5c-rjhq-qp7p","id":"tcs_01M5KGSM95NS0BCCXMZYR719XF","modified_at":"2026-05-20T09:19:21.539785Z","published_at":"2026-04-06T16:16:36.463Z","references":["https://osv.dev/vulnerability/PYSEC-2026-144","https://github.com/vllm-project/vllm/security/advisories/GHSA-pq5c-rjhq-qp7p"],"severity":{"label":"medium","score":6.5},"sources":[{"source":"osv","source_id":"PYSEC-2026-144","url":"https://osv.dev/vulnerability/PYSEC-2026-144"}],"summary":"vLLM is an inference and serving engine for large language models (LLMs). From 0.7.0 to before 0.19.0, the VideoMediaIO.load_base64() method at vllm/multimodal/media/video.py splits video/jpeg data UR"}