CVE-2026-24266: NVIDIA Triton Use-After-Free Vulnerability

CVE-2026-24266 Overview

CVE-2026-24266 is a use-after-free vulnerability [CWE-416] in NVIDIA Triton Inference Server for Linux. An attacker can trigger the flaw remotely over the network without authentication or user interaction. Successful exploitation can lead to denial of service against the inference server.

NVIDIA Triton is widely deployed to serve machine learning models in production environments. A denial of service against Triton disrupts model inference pipelines and downstream applications that depend on them. The attack complexity is high, which reduces the likelihood of reliable exploitation.

Critical Impact
Remote unauthenticated attackers can trigger a use-after-free condition in NVIDIA Triton Inference Server on Linux, causing denial of service and disruption of hosted ML inference workloads.

Affected Products

NVIDIA Triton Inference Server for Linux

Discovery Timeline

2026-07-01 - CVE-2026-24266 published to NVD
2026-07-01 - Last updated in NVD database

Technical Details for CVE-2026-24266

Vulnerability Analysis

The vulnerability is a use-after-free condition [CWE-416] within NVIDIA Triton Inference Server for Linux. Use-after-free flaws occur when a program continues to reference memory after it has been released back to the allocator. An attacker who controls the timing or content of subsequent allocations can influence what data occupies the freed region.

In this case, the attack vector is the network and no privileges or user interaction are required. However, the high attack complexity indicates the attacker must satisfy specific timing or state conditions to reach the vulnerable code path. The confirmed impact is limited to availability. Confidentiality and integrity are not affected according to the published CVSS metrics.

The EPSS probability is 0.538%, placing the CVE in the 41st percentile for near-term exploitation likelihood.

Root Cause

The root cause is improper memory lifetime management inside the Triton Inference Server process. An object or buffer is freed while an internal reference remains reachable. Subsequent operations dereference the stale pointer and access memory that may have been reallocated or scrubbed, resulting in undefined behavior and process crash.

Attack Vector

Exploitation is performed remotely by sending crafted requests to a network-exposed Triton endpoint. Triton commonly exposes HTTP and gRPC inference APIs on TCP ports. An attacker with network reachability to these interfaces can send request sequences designed to reach the vulnerable code path and trigger the dangling pointer dereference.

No verified public proof-of-concept code is available for CVE-2026-24266. Technical specifics are described in the NVIDIA product security advisory.

Detection Methods for CVE-2026-24266

Indicators of Compromise

Unexpected crashes, segmentation faults, or restarts of the tritonserver process on Linux hosts
Core dumps referencing freed heap regions or invalid pointer dereferences within Triton libraries
Abnormal spikes in malformed or oversized inference requests to Triton HTTP or gRPC endpoints
Bursts of connection resets or 5xx errors from Triton frontends followed by service unavailability

Detection Strategies

Monitor Triton process health and correlate crash events with inbound request patterns from the same source IP
Inspect application logs for exceptions originating from inference request parsing and model dispatch layers
Deploy network intrusion detection rules for anomalous gRPC or HTTP payloads targeting Triton ports
Track container or systemd restart counts for Triton workloads as a signal of repeated exploitation attempts

Monitoring Recommendations

Enable verbose Triton logging and forward events to a centralized log platform for anomaly review
Capture endpoint telemetry from Linux hosts running Triton, including process crashes and kernel dmesg output
Alert on repeated Triton service failures within short time windows to detect denial-of-service activity
Baseline normal inference request rates and payload sizes to surface deviations quickly

How to Mitigate CVE-2026-24266

Immediate Actions Required

Apply the fixed Triton Inference Server release identified in the NVIDIA product security advisory as soon as it is available in your environment
Restrict network exposure of Triton HTTP and gRPC endpoints to trusted clients only using firewalls or service mesh policies
Require authentication and mutual TLS at an ingress proxy in front of Triton where the server itself does not enforce it
Rate-limit inbound inference requests to reduce the impact of repeated crash attempts

Patch Information

Refer to the NVIDIA product-security repository entry for bulletin 5848 for the authoritative list of fixed versions and remediation guidance. Additional record details are available at the NVD entry for CVE-2026-24266 and the CVE.org record.

Workarounds

Place Triton behind an authenticated reverse proxy that filters and validates inference requests before they reach the server
Segment Triton hosts on isolated network zones with strict allowlists for client IP ranges
Run Triton under a process supervisor that automatically restarts the service after a crash to reduce downtime while patches are staged
Disable unused Triton protocol endpoints (HTTP or gRPC) to reduce the reachable attack surface

bash

# Example: restrict Triton HTTP (8000) and gRPC (8001) to a trusted CIDR using iptables
iptables -A INPUT -p tcp --dport 8000 -s 10.0.0.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 8001 -s 10.0.0.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 8000 -j DROP
iptables -A INPUT -p tcp --dport 8001 -j DROP