MEDIUM 5.9

CVE-2026-24266: NVIDIA Triton Inference Server Use-After-Free DoS Vulnerability

NVIDIA's Triton Inference Server for Linux contains a use-after-free vulnerability that allows attackers to disrupt service availability. The flaw exists in memory management logic, where freed memory is accessed again, potentially causing the application to crash. While the attack requires specific network conditions to exploit reliably, the impact is limited to denial of service rather than data theft or system compromise.

Source data · NVD / CISA · public domain

CVSS
3.1 · 5.9 MEDIUM · CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
Weaknesses (CWE)
CWE-416
Affected products
2 configuration(s)
Published / Modified
2026-07-01 / 2026-07-06

NVD description (verbatim)

NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker can cause a use-after-free issue. A successful exploit of this vulnerability might lead to denial of service.

3 reference(s) · View on NVD →

SEC.co analysis · AI-assisted, reviewed against source

Technical summary

CVE-2026-24266 is a use-after-free condition (CWE-416) in NVIDIA Triton Inference Server running on Linux systems. The vulnerability arises from improper memory lifecycle management in which a pointer to previously freed memory is dereferenced, leading to undefined behavior. The CVSS 3.1 score of 5.9 (MEDIUM) reflects network accessibility but high complexity—the attack vector is network-based, requires no authentication, yet demands specific timing or environmental conditions to trigger reliably. The impact vector is limited to availability, with no confidentiality or integrity compromise.

Business impact

Service disruption represents the primary business risk. Organizations relying on Triton Inference Server for real-time model serving—such as those running recommendation engines, computer vision pipelines, or LLM inference endpoints—face potential downtime if the server crashes. The recoverable nature of the DoS (restart restores function) limits financial exposure, but repeated exploitation could degrade user experience and SLA compliance. Affected deployments in production environments should prioritize remediation to maintain inference availability.

Affected systems

NVIDIA Triton Inference Server on Linux platforms is the primary target. The vulnerability also references the Linux kernel in the affected products list; verify vendor advisories to determine whether the kernel reference indicates a dependency issue or a separate related flaw. Any deployment running Triton Inference Server should be inventoried and assessed regardless of version until patching guidance is available.

Exploitability

Exploitation requires network access but no authentication, making it accessible from untrusted networks. However, the high complexity condition (AC:H) indicates the attack is not trivial—the attacker must satisfy specific runtime or environmental conditions to trigger the use-after-free. This likely means the vulnerability is not exploitable in all configurations or may require race conditions or specific input sequences. Public exploit code is not widely available, and practical weaponization is constrained by these factors.

Remediation

Apply security updates from NVIDIA as soon as they become available. Organizations should prioritize Triton Inference Server instances accessible from untrusted networks or handling mission-critical inference workloads. If patches are unavailable, implement network segmentation to limit Triton exposure to trusted clients, and establish monitoring to detect abnormal terminations. Maintain recent backups and automated recovery procedures to minimize downtime impact.

Patch guidance

Monitor NVIDIA's security advisories and product release notes for patched versions of Triton Inference Server. Verify patch availability against the official NVIDIA security portal before deploying. Test patches in non-production environments to ensure compatibility with your inference models and client applications. Stagger deployment across your infrastructure to minimize service disruption during the patching window.

Detection guidance

Monitor Triton Inference Server logs for unexpected crashes or restarts, particularly following network requests with unusual payloads or timing patterns. Application performance monitoring (APM) tools can flag sudden loss of inference service availability. If you maintain kernel instrumentation, monitor for memory access violations (SEGFAULT signals) tied to Triton processes. Establish baseline logs to distinguish normal restarts from potential exploitation attempts.

Why prioritize this

While the CVSS score is MEDIUM, the vulnerability merits prompt attention for production Triton deployments due to its availability impact and network accessibility. Organizations with SLA commitments around inference service uptime should treat this as higher priority than the numerical score alone suggests. Non-critical or air-gapped Triton instances can defer patching pending patch availability confirmation.

Risk score, explained

The CVSS 3.1 score of 5.9 reflects the balance between two factors: broad network accessibility and the absence of authentication requirements elevate risk, but the high attack complexity—requiring specific conditions to trigger—and the limited impact scope (availability only) prevent a higher rating. The score appropriately captures that this is a real risk requiring remediation without overstating the immediate exploitability risk.

Frequently asked questions

Does this vulnerability affect all versions of Triton Inference Server?

The CVE description does not specify version ranges. Check NVIDIA's official advisory to determine which versions are vulnerable and which patches resolve the issue. All Triton deployments should be reviewed until version-specific guidance is published.

Can this vulnerability be exploited without network access?

No. The attack vector is network-based (AV:N), meaning the attacker must reach the Triton server over the network. Air-gapped or internal-only Triton instances have reduced risk, though the vulnerability should still be patched when feasible.

What's the difference between this and a critical availability issue?

This is a denial-of-service vulnerability limited to application-level crashes; it does not grant code execution, data access, or persistent system compromise. The Triton process restarts and resumes operation, whereas a critical flaw might cause permanent damage or unauthorized access.

If we use Triton in a containerized environment, do we need to patch the underlying Linux kernel?

The Linux kernel appears in the affected products list. Verify NVIDIA's advisory to clarify whether this indicates a kernel dependency issue or a separate kernel vulnerability. Container runtime kernels should be kept current regardless, but confirm the advisory's intent before making kernel patching decisions.

This analysis is based on publicly available CVE data and CVSS scoring as of the publication date. Patch availability, version ranges, and vendor guidance may have been updated since publication; always consult NVIDIA's official security advisories for the authoritative affected versions and patch availability. No proof-of-concept or exploit code is provided. Organizations should conduct their own risk assessment and testing before deploying patches in production environments. Source: NVD (public-domain), retrieved 2026-08-10. Analysis generated by SEC.co (claude-haiku-4-5).