CVE-2026-24155 Overview
CVE-2026-24155 is a code injection vulnerability [CWE-94] affecting the NVIDIA NeMo Framework across all supported platforms. NVIDIA NeMo is an end-to-end framework used to build, customize, and deploy generative AI models, including large language models and speech AI workloads. A local attacker holding low-level privileges can inject and execute arbitrary code within the context of the NeMo process. Successful exploitation can lead to code execution, privilege escalation, information disclosure, and data tampering on systems running vulnerable NeMo Framework versions.
Critical Impact
Local attackers with low privileges can execute arbitrary code, escalate privileges, and tamper with sensitive AI training and inference data inside the NVIDIA NeMo Framework.
Affected Products
- NVIDIA NeMo Framework (all platforms)
- Deployments running vulnerable NeMo versions across Linux and Windows
- Containerized NeMo workloads relying on the affected framework code paths
Discovery Timeline
- 2026-06-16 - CVE-2026-24155 published to the National Vulnerability Database (NVD)
- 2026-06-17 - Last updated in the NVD database
Technical Details for CVE-2026-24155
Vulnerability Analysis
The vulnerability is classified under [CWE-94] Improper Control of Generation of Code, commonly known as code injection. NVIDIA NeMo Framework processes input that is later interpreted or evaluated without adequate validation or sandboxing. An attacker who can supply crafted input to a vulnerable NeMo component can influence the code generation path. The framework then executes the attacker-controlled instructions within the privileges of the NeMo process.
Because NeMo is frequently deployed on GPU workstations and AI training clusters, the impacted process often holds access to model artifacts, training datasets, and credentials. Exploitation yields high confidentiality, integrity, and availability impact on the host. The attack vector is local, meaning the adversary needs prior access to the system, such as a foothold from a phishing payload or a low-privileged user account on a shared AI workbench.
Root Cause
The root cause is the framework's handling of attacker-influenced input that reaches a dynamic execution sink. Insufficient validation allows the input to be parsed as code rather than data. This permits arbitrary commands to run with the privileges of the NeMo runtime. Refer to the NVIDIA Support Answer for the authoritative technical breakdown.
Attack Vector
The attacker requires local access and low-level privileges on the target host. No user interaction is necessary once the malicious input is staged. Typical exploitation paths include supplying crafted configuration files, model definitions, or scripts processed by NeMo. See the NVD entry for CVE-2026-24155 for the official scoring metrics.
Detection Methods for CVE-2026-24155
Indicators of Compromise
- Unexpected child processes spawned by NeMo Python interpreters or training scripts
- Modifications to model checkpoints, tokenizer files, or configuration assets outside of scheduled training windows
- Outbound network connections from NeMo workloads to untrusted hosts during inference or training
- New or modified files in NeMo working directories not associated with legitimate jobs
Detection Strategies
- Monitor process lineage on AI workstations to flag NeMo processes that invoke shells, package managers, or compilers
- Apply behavioral analytics to identify deviations in CPU, GPU, and filesystem activity for NeMo training jobs
- Inspect NeMo configuration and recipe files for embedded executable expressions or dynamic eval constructs
Monitoring Recommendations
- Centralize NeMo host logs and GPU scheduler telemetry for retroactive hunting
- Alert on privilege changes for service accounts that own NeMo processes
- Track integrity of training datasets and model weights using cryptographic hashes
How to Mitigate CVE-2026-24155
Immediate Actions Required
- Apply the security update from the NVIDIA Support Answer 5839 to all NeMo Framework installations
- Inventory hosts and containers running NVIDIA NeMo and prioritize patching multi-tenant AI systems
- Restrict local access to NeMo workbenches and enforce least privilege on accounts that can submit jobs
- Validate the integrity of recent training artifacts and model checkpoints for signs of tampering
Patch Information
NVIDIA has published a security bulletin and fixed builds for the NeMo Framework. Administrators should consult the NVIDIA Support Answer for affected versions, fixed releases, and upgrade guidance. Cross-reference the CVE Record for CVE-2026-24155 for the authoritative advisory linkage.
Workarounds
- Run NeMo workloads inside isolated containers with read-only filesystems where feasible
- Disable or restrict use of dynamic code execution features within NeMo recipes until patches are applied
- Limit which users can submit NeMo configuration files or model definitions to trusted operators only
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
