InternLM LMDeploy through 0.17.0 contains a reachable assertion vulnerability in the DistServe decode migration loop that allows unauthenticated attackers to terminate the inference engine. Attackers can submit a migration_request with an empty remote_block_ids list to trigger an AssertionError that crashes the engine loop and causes subsequent inference requests to fail.
CVE-2026-92971
Score 7.5 from GitHub Security Advisory (severity: HIGH) published 2026-09-17. a secondary CVSS source baseline 7.5; sources differ by 0.0.
- High severity, but no confirmed exploitation yet
No vendor fix yet — apply a workaround or compensating control (WAF / firewall / segmentation) and watch for a patch.
- CVSS v3
- 7.5
- EG Score
- 7.5(high)
- EG Risk
- 65(Attend)EG Risk 65/100SSVC: Attend
EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).
How it’s computedSeverity75% × 45%Exploitation40% × 40%Automatability100% × 15%Action: Remediate soon — notable exploitation risk. - EPSS PROB
- 0%
- EPSS %ILE
- 41%
- KEV
- Not listed
Published
September 17, 2026
Last Modified
September 17, 2026
Advisory Details (6)
Auto-updated Sep 17, 2026InternLM LMDeploy through 0.17.0 Assertion Denial of Service | Advisories | VulnCheck
https://www.vulncheck.com/advisories/internlm-lmdeploy-through-0.17.0-assertion-denial-of-serviceGitHub - InternLM/lmdeploy: LMDeploy is a toolkit for compressing, deploying, and serving LLMs. · GitHub
https://github.com/InternLM/lmdeploylmdeploy/lmdeploy/pytorch/utils.py at v0.17.0 · InternLM/lmdeploy · GitHub
https://github.com/InternLM/lmdeploy/blob/v0.17.0/lmdeploy/pytorch/utils.py#L187-L214lmdeploy/lmdeploy/serve/openai/endpoints/completions.py at v0.17.0 · InternLM/lmdeploy · GitHub
https://github.com/InternLM/lmdeploy/blob/v0.17.0/lmdeploy/serve/openai/endpoints/completions.py#L130-L136lmdeploy/lmdeploy/pytorch/engine/engine_loop.py at v0.17.0 · InternLM/lmdeploy · GitHub
https://github.com/InternLM/lmdeploy/blob/v0.17.0/lmdeploy/pytorch/engine/engine_loop.py#L560-L564[Bug] Untrusted `migration_request` can terminate the DistServe Decode EngineLoop and cause persistent denial of service · Issue #4965 · InternLM/lmdeploy · GitHub
https://github.com/InternLM/lmdeploy/issues/4965Vendor Advisories for CVE-2026-92971(1)
These vendors published their own advisory mentioning this CVE — often with vendor-specific remediation steps + affected product lists not in NVD.
Weakness Classification(1)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 13× in last 7d / 13× in last 30d)
Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.
- 2026-09-19 19:12 UTCEG score recompute
- 2026-09-19 19:12 UTCGHSA enrichment
- 2026-09-19 06:13 UTCEG score recompute
- 2026-09-19 06:13 UTCGHSA enrichment
- 2026-09-18 19:28 UTCEPSS rescore
- 2026-09-18 17:17 UTCGHSA enrichment
- 2026-09-18 04:20 UTCEG score recompute
- 2026-09-18 04:20 UTCGHSA enrichment
- 2026-09-17 15:23 UTCEG score recompute
- 2026-09-17 14:35 UTCEG score recompute
- 2026-09-17 14:23 UTCEG score recompute
- 2026-09-17 13:51 UTCEG score recompute
- 2026-09-17 13:49 UTCMITRE cvelistV5first tracked
Related CVEs(same CWE)
Same CWE
10 shownCWE-617
- CVE-2006-5779NVD 7.5EG 8.7EPSS p100HIGH
- CVE-2018-5740NVD 7.5EG 8.3EPSS p99HIGH
- CVE-2018-19963EG 7.8HIGH
- CVE-2017-7605EG 7.8HIGH
- CVE-2018-12543NVD 7.5EG 7.7EPSS p98HIGH
- CVE-2016-8864NVD 7.5EG 7.7EPSS p99HIGH
- CVE-2019-14022EG 7.5HIGH
- CVE-2015-8012EG 7.5HIGH
- CVE-2011-3596EG 7.5EPSS p96HIGH
- CVE-2018-5742EG 7.5HIGH
Frequently asked(5)
What is CVE-2026-92971?
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Dependency Blast Radius
Explore the affected products and dependency analysis for CVE-2026-92971
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