Heap‑Based Buffer Overflow in NVIDIA TensorRT (CVE‑2026‑24268) Enables Remote Code Execution
What It Is — NVIDIA TensorRT’s ONNX model parser fails to validate the length of user‑supplied data before copying it into a fixed‑size heap buffer. The flaw (CVE‑2026‑24268) can be triggered by a crafted ONNX file, allowing an attacker to execute arbitrary code in the process context.
Exploitability — Remote code execution is possible once a victim loads a malicious ONNX model (e.g., via a web page or file). No public exploit code is known, but the CVSS 7.8 rating (AV:L/AC:L/PR:N/UI:R) reflects a high‑impact, low‑complexity attack requiring user interaction.
Affected Products — NVIDIA TensorRT (any version prior to the August 2026 security update).
Why It Matters for Compliance & Audit Readiness
- Patch Management Evidence – SOC 2’s Security principle (CC6.1) requires documented, timely remediation of known software flaws; this CVE demonstrates the audit value of continuous patch‑status monitoring.
- Control Mapping – Mapping the vulnerability to your change‑management and system‑operations controls provides concrete evidence that you’re meeting the “risk mitigation” criteria auditors look for.
- Defensible Audit Trail – Retaining proof of patch deployment and validation of model‑ingestion pipelines creates a defensible trail for any third‑party security review.
Recommended Actions
- Deploy NVIDIA’s September 2026 patch for TensorRT without delay.
- Restrict ONNX model ingestion to trusted sources; implement integrity checks (e.g., signatures, hash verification).
- Update SOC 2 vulnerability‑management documentation to capture remediation dates, evidence, and control‑mapping notes.
Source: Zero Day Initiative advisory