Heap‑Based Buffer Overflow in NVIDIA TensorRT ONNX Parsing Enables Remote Code Execution (CVE‑2026‑24272)
What It Is – A heap‑based buffer overflow resides in the ONNX model parser of NVIDIA TensorRT. An attacker who convinces a user to open a malicious ONNX file (or visit a page that loads one) can overwrite memory and execute arbitrary code in the context of the TensorRT process.
Exploitability – CVSS 7.8 (High). The vulnerability is locally exploitable with required user interaction (malicious file/page). No public exploits have been observed, but the low attack complexity and high impact make it a prime target for opportunistic actors.
Affected Products – NVIDIA TensorRT (all versions prior to the August 2026 security update).
Why It Matters for Compliance & Audit Readiness
- Control Mapping – The flaw highlights a gap in secure‑development and code‑validation controls (SOC 2 CC6.1 System Operations, CC7.1 Change Management). Mapping this to your control framework demonstrates due diligence.
- Continuous Evidence – Applying NVIDIA’s patch and capturing patch‑deployment logs provides immutable audit evidence of risk mitigation, a key requirement for SOC 2 readiness.
- Enterprise Buyer Expectations – Prospective customers increasingly request proof that critical AI/ML components are patched and monitored; a documented remediation workflow satisfies that demand.
Recommended Actions
- Inventory all servers and containers running TensorRT; flag any that lack the August 2026 patch.
- Deploy NVIDIA’s security update immediately and verify version compliance via automated tooling.
- Map the vulnerability to SOC 2 controls (CC6.1, CC7.1) in your compliance matrix; record remediation steps as evidence.
- Integrate continuous monitoring (e.g., SBOM checks, vulnerability scanners) to detect future library‑level flaws.