{"id":"CVE-2026-92983","title":"InternLM LMDeploy through 0.17.0 in DistServe prefill/decode disaggregation mode fails to release scheduler sessions because the proxy uses user-facing session IDs instead of internal scheduler keys","summary":"InternLM LMDeploy through 0.17.0 in DistServe prefill/decode disaggregation mode fails to release scheduler sessions because the proxy uses user-facing session IDs instead of internal scheduler keys. Unauthenticated attackers can send co…","severity":"high","cvss":7.5,"cvssVector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","cwe":["CWE-772"],"vendor":"InternLM","product":"lmdeploy","affected":["lmdeploy <= 0.17.0"],"published":"2026-09-17","updated":"2026-09-18","sourceUpdated":"2026-09-18T20:17:31.500","source":"NVD","sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-92983","references":[{"url":"https://github.com/InternLM/lmdeploy","label":"disclosure@vulncheck.com"},{"url":"https://github.com/InternLM/lmdeploy/blob/v0.17.0/lmdeploy/pytorch/disagg/conn/engine_conn.py#L93-L99","label":"disclosure@vulncheck.com"},{"url":"https://github.com/InternLM/lmdeploy/issues/4967","label":"disclosure@vulncheck.com"},{"url":"https://www.vulncheck.com/advisories/internlm-lmdeploy-through-0.17.0-memory-exhaustion-via-session-id-mismatch","label":"disclosure@vulncheck.com"},{"url":"https://github.com/InternLM/lmdeploy/issues/4967","label":"134c704f-9b21-4f2e-91b3-4a467353bcc0"}],"tags":["nvd","cve.org","exploit-available"],"epss":0.00366,"epssPercentile":0.30328,"exploitAvailable":true,"ssvc":{"exploitation":"poc","automatable":"yes","technicalImpact":"partial","timestamp":"2026-09-18T19:18:23.473849Z"},"ingestedAt":"2026-09-17T15:20:39.002Z","slug":"CVE-2026-92983","body":"## Overview\n\nInternLM LMDeploy through 0.17.0 in DistServe prefill/decode disaggregation mode fails to release scheduler sessions because the proxy uses user-facing session IDs instead of internal scheduler keys. Unauthenticated attackers can send completion requests to the proxy endpoint that accumulate unreleased scheduler metadata and memory until the prefill worker is out-of-memory killed.\n\n## Remediation\n\nRefer to the linked advisories for vendor-supplied fixes and affected version ranges.","depth":"midnight","depthScore":53,"depthScoreParts":{"impact":41.3,"likelihood":0.1,"exploitation":12,"ransomware":0},"changes":[{"seq":207479,"id":"CVE-2026-92983","ts":1789761069538,"field":"exploit_available","old":"false","new":"true"}]}