InternLM has 9 CVEs on record between 2025 and 2026. Disclosure cadence is accelerating: 7 in the last 90 days against 1 in the 90 before. The busiest recent month was September 2026 with 5. The median CVSS is 8.8 (high), with 4 rated critical. None have a confirmed exploitation report. The most common weakness class is CWE-502 (4). Most affected products: lmdeploy (8), MindSearch (1).
CVEs per month
Last 12 months, by publish date
- Exploited share
- 0% vs 1% corpus
- Median CVSS
- 8.8
- Publish → KEV
- —
- Last 90 days
- 7 prev 1
Worst active — by depth score
CVE-2026-105135Critical· 10.0A vulnerability has been found in InternLM MindSearch 0.1.067CVE-2025-59953Critical· 9.8LMDeploy is a toolkit for compressing, deploying, and serving large language models66CVE-2026-76850Critical· 9.8LMDeploy deserializes disaggregated-serving peer messages with pickle66CVE-2026-33625High· 8.8LMDeploy is a toolkit for compressing, deploying, and serving large language models60CVE-2026-63764High· 8.6LMDeploy through 0.14.0, fixed in commit 03c3130, contains a server-side request forgery (SSRF) vulnerability in the _load_http_url function within the connection.py media handler, where the private-IP guard validates only the original U…59
InternLM vulnerabilities
CVEs affecting InternLM, newest first. Open any entry for full detail, references, and exploit status.
9 CVEsRSS
CVE-2026-105135Critical· 10.0PoCA vulnerability has been found in InternLM MindSearch 0.1.0
A vulnerability has been found in InternLM MindSearch 0.1.0. This issue affects the function ExecutionAction.run of the file mindsearch/agent/graph.py of the component Planner Agent. The manipulation of the argument inputs leads to code …
CVE-2025-66455Critical· 9.8LMDeploy is a toolkit for compressing, deploying, and serving large language models
LMDeploy is a toolkit for compressing, deploying, and serving large language models. Starting in version 0.9.2 and prior to version 0.16.0, LMDeploy's PyTorch DistServe/PD-disaggregation control plane used `recv_pyobj()` to deserialize m…
CVE-2026-33625High· 8.8PoCLMDeploy is a toolkit for compressing, deploying, and serving large language models
LMDeploy is a toolkit for compressing, deploying, and serving large language models. Versions 012.1 through 0.12.2 contain a code injection vulnerability in `lmdeploy/pytorch/config.py` line 620 that allows an attacker to execute arbitra…
CVE-2026-92983High· 7.5PoCInternLM 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
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…
CVE-2026-92971High· 7.5PoCInternLM 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
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 a…
CVE-2025-59953Critical· 9.8PoCLMDeploy is a toolkit for compressing, deploying, and serving large language models
LMDeploy is a toolkit for compressing, deploying, and serving large language models. Starting in version 0.9.1 and prior to version 0.10.2, the LMdeploy implements an rpc server (AsyncRPCServer in zmq_rpc.py) for supporting the RPC commu…
CVE-2026-76850Critical· 9.8PoCLMDeploy deserializes disaggregated-serving peer messages with pickle
LMDeploy deserializes disaggregated-serving peer messages with pickle. The handle_zmq_recv coroutine in lmdeploy/pytorch/disagg/conn/engine_conn.py reads peer-to-peer cache-free requests with recv_pyobj(), which deserializes the received…
CVE-2026-63764High· 8.6PoCLMDeploy through 0.14.0, fixed in commit 03c3130, contains a server-side request forgery (SSRF) vulnerability in the _load_http_url function within the connection.py media handler, where the private-IP guard validates only the original U…
LMDeploy through 0.14.0, fixed in commit 03c3130, contains a server-side request forgery (SSRF) vulnerability in the _load_http_url function within the connection.py media handler, where the private-IP guard validates only the original U…
CVE-2025-67729High· 8.8LMDeploy is a toolkit for compressing, deploying, and serving LLMs
LMDeploy is a toolkit for compressing, deploying, and serving LLMs. Prior to version 0.11.1, an insecure deserialization vulnerability exists in lmdeploy where torch.load() is called without the weights_only=True parameter when loading m…