Severity by source
AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Local attacker with low-privileged shell on a NeMo host supplies a crafted artifact NeMo evaluates, yielding code execution with full CIA impact under the NeMo process; no UI or scope change.
Primary rating from Vendor (nvidia).
CVSS VectorVendor: nvidia
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Lifecycle Timeline
1DescriptionCVE.org
NVIDIA NeMo Framework for all platforms contains a code injection vulnerability. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.
AnalysisAI
Code injection in NVIDIA NeMo Framework across all supported platforms allows a local attacker with low privileges to execute arbitrary code, escalate privileges, disclose sensitive information, and tamper with data. The flaw carries a CVSS 3.1 score of 7.8 with high impact across confidentiality, integrity, and availability, though no public exploit identified at time of analysis and the issue is not listed in CISA KEV.
Technical ContextAI
NVIDIA NeMo Framework is an end-to-end, cloud-native toolkit used by researchers and enterprises to build, customize, and deploy generative AI and large language models, often executed in Python-based training and inference pipelines on GPU-equipped hosts. The CPE 'cpe:2.3:a:nvidia:nemo_framework:*' indicates all versions are in scope pending vendor clarification. The root cause is CWE-94 (Improper Control of Generation of Code, 'Code Injection'), meaning attacker-controlled input is incorporated into something the framework subsequently evaluates or executes - typical patterns in ML frameworks include unsafe deserialization of model artifacts, dynamic import/eval of configuration files (e.g., Hydra/OmegaConf, YAML, pickle), or template expansion in training recipes.
RemediationAI
Patch available per vendor advisory - consult the NVIDIA security bulletin at https://nvidia.custhelp.com/app/answers/detail/a_id/5839 for the exact fixed NeMo Framework version and upgrade all training, fine-tuning, and inference environments accordingly; the NVD record at https://nvd.nist.gov/vuln/detail/CVE-2026-24155 should be monitored for additional CPE/version metadata. Until upgraded, treat NeMo as an untrusted code execution surface: restrict who can submit configs, recipes, and model artifacts to NeMo pipelines, run NeMo workloads under dedicated non-privileged service accounts with minimal filesystem and network egress, and avoid loading model checkpoints, YAML/Hydra configs, or pickled artifacts from untrusted sources (the trade-off is operational friction for data scientists who routinely pull community models from hubs). Adding mandatory provenance and integrity checks (signatures or hash allowlists) on ingested model and config files reduces exposure but requires pipeline changes.
More in Nemo Framework
View allOS command injection in NVIDIA NeMo for Linux allows a local authenticated attacker to execute arbitrary commands, leadi
Local code execution in NVIDIA NeMo Framework on Linux allows an authenticated low-privileged attacker to abuse unsafe d
Same weakness CWE-94 – Code Injection
View allSame technique Code Injection
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External POC / Exploit Code
Leaving vuln.today
EUVD-2026-37129
GHSA-xp23-6mrm-wqh3