CVE-2026-24220: NVIDIA TensorRT-LLM RCE Vulnerability

CVE-2026-24220 Overview

CVE-2026-24220 is an insecure deserialization vulnerability [CWE-502] in NVIDIA TensorRT-LLM affecting the visual generation server component. The flaw stems from unauthorized ZeroMQ (ZMQ) message deserialization, allowing an attacker with local access and high privileges to submit crafted serialized objects. Successful exploitation may lead to arbitrary code execution in the context of the vulnerable process. The issue affects TensorRT-LLM deployments across all supported platforms.

Critical Impact
Exploitation can result in code execution on hosts running the TensorRT-LLM visual generation server, potentially compromising AI inference pipelines and adjacent workloads.

Affected Products

NVIDIA TensorRT-LLM (visual gen server component)
All supported platforms per the vendor advisory
Specific fixed versions: refer to the NVIDIA security bulletin

Discovery Timeline

2026-07-14 - CVE-2026-24220 published to NVD
2026-07-15 - Last updated in NVD database

Technical Details for CVE-2026-24220

Vulnerability Analysis

The vulnerability resides in the visual generation server of NVIDIA TensorRT-LLM, which uses ZeroMQ for inter-process messaging. The server deserializes inbound ZMQ payloads without authenticating the sender or validating the object graph. An attacker who can reach the ZMQ endpoint may submit a malicious serialized object that, when reconstructed, triggers execution of attacker-controlled logic.

Insecure deserialization flaws typically enable gadget-chain execution during object reconstruction. Because TensorRT-LLM inference servers frequently run with access to GPU resources, model weights, and adjacent service credentials, code execution in this context can expose sensitive intellectual property and pivot points into broader ML infrastructure.

Root Cause

The root cause is missing authentication and unsafe object reconstruction on the ZMQ interface exposed by the visual gen server. The server accepts serialized payloads from any local peer able to connect to the socket and passes them to a deserialization routine that instantiates arbitrary types.

Attack Vector

The attack vector is local, requiring the attacker to hold high privileges and reach the ZMQ endpoint used by the visual gen server. No user interaction is required. Attack complexity is high, reflecting the need to craft a payload compatible with the server's deserialization pipeline. See the NVD entry for CVE-2026-24220 and the CVE.org record for authoritative details.

No public proof-of-concept has been published at this time, and the vulnerability is not listed in the CISA Known Exploited Vulnerabilities catalog.

Detection Methods for CVE-2026-24220

Indicators of Compromise

Unexpected child processes spawned by the TensorRT-LLM visual gen server process.
Anomalous ZMQ traffic patterns on sockets bound by the visual gen server, particularly from unexpected local peers.
New or modified files in model, cache, or temporary directories used by the inference service.

Detection Strategies

Monitor process lineage for the visual gen server and alert on shell interpreters, compilers, or network utilities being launched as child processes.
Baseline the set of local processes that connect to the ZMQ endpoint and flag deviations.
Inspect audit logs for privileged users interacting with TensorRT-LLM sockets outside of expected orchestration workflows.

Monitoring Recommendations

Enable process, file, and network telemetry on hosts running TensorRT-LLM and forward events to a centralized analytics platform.
Track outbound network connections from the inference server process to detect post-exploitation staging or exfiltration.
Correlate GPU workload anomalies with process creation events to surface unauthorized model or code execution.

How to Mitigate CVE-2026-24220

Immediate Actions Required

Update NVIDIA TensorRT-LLM to the fixed version identified in the vendor security bulletin as soon as it becomes available.
Restrict access to the visual gen server host to trusted administrators and inference operators only.
Bind the ZMQ endpoint to a loopback interface or Unix domain socket protected by strict file permissions.

Patch Information

Refer to the NVIDIA product security advisory for CVE-2026-24220 for the authoritative list of fixed releases and upgrade guidance. Cross-check the NVD CVE-2026-24220 entry for updated references as they are published.

Workarounds

Disable the visual gen server component if it is not required for your deployment.
Enforce ZMQ CURVE authentication or place the socket behind an authenticated proxy that validates client identity.
Run the TensorRT-LLM server under a dedicated low-privilege account and apply mandatory access controls to limit blast radius if code execution occurs.

bash

# Configuration example: restrict ZMQ socket to local root-owned Unix domain socket
# Replace default TCP bind with an ipc:// endpoint and lock down permissions
export TRTLLM_VISUAL_ZMQ_ENDPOINT="ipc:///var/run/trtllm/visual.sock"
install -d -m 0750 -o trtllm -g trtllm /var/run/trtllm
chmod 0600 /var/run/trtllm/visual.sock