High 7.5Published Oct 15, 2026

CVE-2026-111160LightLLM through 1.2.0 Unauthenticated DoS via pd_kv_trans_params Deserialization

Updated under an hour ago (2026-10-19 10:23 UTC)

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It affects ModelTC LightLLM. Add what you run to find out whether that includes you.

EPSS puts the chance of exploitation in the next 30 days at 0.42%, higher than 35% of scored CVEs.

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Exploited in the last 30 days

LightLLM through 1.2.0 contains a denial of service vulnerability that allows unauthenticated attackers to crash the inference worker by supplying the internal pd_kv_trans_params field to the /generate endpoint. Attackers can send a single request whose parameters cause pickle.loads to fail in InferSamplingParams, killing the inference thread while /health stays up and all later requests hang until restart.

CVSS: 7.5 HIGH (v3.1, CNA)CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Weakness (CWE): CWE-502
Known exploited: Not in CISA's KEV catalog
EPSS (exploitation in the next 30 days): 0.42% (percentile 35)
Assigned by: VulnCheck
NVD analysis: Deferred
Record last updated: Oct 15, 2026
First seen by InfoSec Signals: Oct 15, 2026

Affected products

Affected products

ModelTC LightLLM modeltc:lightllm (from the name)	through 1.2.0	CNA record

References

https://github.com/ModelTC/LightLLM/issues/1629issue-tracking, exploit
https://github.com/ModelTC/lightllm/blob/v1.2.0/lightllm/server/api_lightllm.py#L37-L43technical-description
https://github.com/ModelTC/lightllm/blob/v1.2.0/lightllm/server/core/objs/sampling_params.py#L356-L357technical-description
https://github.com/ModelTC/lightllm/blob/v1.2.0/lightllm/server/router/model_infer/infer_batch.py#L484-L485technical-description
https://github.com/ModelTC/LightLLMproduct
https://www.vulncheck.com/advisories/lightllm-through-1.2.0-unauthenticated-dos-via-pd-kv-trans-params-deserializationthird-party-advisory

The CVE record on cve.org NVD's entry

The CVE record is authoritative. Products marked “from the name” were identified from the CNA's free-text names, not a CPE, and are matched less certainly. This product uses the NVD API but is not endorsed or certified by the NVD.