CVE-2025-23294: NVIDIA WebDataset Privilege Escalation

CVE-2025-23294 Overview

CVE-2025-23294 is a local code execution vulnerability affecting NVIDIA WebDataset across all supported platforms. NVIDIA WebDataset is a Python library used to build high-performance data pipelines for large-scale machine learning training workloads. The flaw is categorized under [CWE-78] as improper neutralization of special elements used in an operating system command. An authenticated local attacker with low privileges can execute arbitrary code with elevated permissions. Successful exploitation can lead to privilege escalation, data tampering, information disclosure, and denial of service. NVIDIA has published guidance and a fix through its security advisory.

Critical Impact
A local attacker with low privileges can execute arbitrary OS commands through NVIDIA WebDataset, resulting in privilege escalation and full compromise of confidentiality, integrity, and availability on the affected host.

Affected Products

NVIDIA WebDataset (all platforms)
Python-based ML data pipelines that ingest untrusted .tar shards or URLs via WebDataset
Training and inference environments incorporating vulnerable WebDataset releases

Discovery Timeline

2025-08-13 - CVE-2025-23294 published to NVD
2026-06-17 - Last updated in NVD database

Technical Details for CVE-2025-23294

Vulnerability Analysis

CVE-2025-23294 is an OS command injection issue [CWE-78] in NVIDIA WebDataset. WebDataset ingests dataset shards, typically .tar archives, and constructs shell pipelines to stream and decode them. When input strings such as URLs, filenames, or shard descriptors reach a shell interpreter without proper neutralization, an attacker-controlled value can break out of the intended argument context. The result is arbitrary command execution under the identity of the process invoking WebDataset.

Exploitation requires local access and low privileges, but no user interaction. In typical machine learning environments, WebDataset runs inside training jobs that hold elevated data or GPU access, so a successful exploit inherits those privileges. Consequences include tampering with model artifacts, exfiltrating training data, or disrupting scheduled training pipelines.

Root Cause

The root cause is improper neutralization of shell metacharacters in input passed to an operating system command. WebDataset composes shell commands from user-controllable strings, allowing characters such as ;, |, `, $(...), and redirection operators to be interpreted by the shell rather than treated as literal data. Any code path that forwards untrusted dataset descriptors to a shell without argument-safe execution or strict validation is exploitable.

Attack Vector

The attack vector is local. An attacker who can influence the dataset URL, shard path, or pipeline argument consumed by a WebDataset loader can inject shell syntax that executes alongside the intended command. Realistic delivery paths include a shared multi-tenant training host, a lower-privileged user submitting a job specification, or a malicious dataset manifest placed on a mounted filesystem. Because the injection executes in the WebDataset process, it runs with the permissions of the ML workload.

No verified public proof-of-concept code is available for CVE-2025-23294. See the NVIDIA Support Response and the NVD CVE-2025-23294 Detail for authoritative technical references.

Detection Methods for CVE-2025-23294

Indicators of Compromise

Unexpected child processes such as /bin/sh, bash, curl, wget, or nc spawned by Python interpreters running WebDataset
Dataset URLs or shard names containing shell metacharacters (;, |, `, $(), >, <) in job manifests or training logs
New or modified files in ML working directories, model registries, or SSH authorized_keys under the training account

Detection Strategies

Hunt for process trees where a Python process invoking webdataset spawns shell utilities or network clients that are not part of the normal training pipeline.
Inspect training orchestration logs (Kubernetes, Slurm, Airflow) for dataset arguments that include shell metacharacters or URL-encoded shell payloads.
Correlate outbound network connections from GPU nodes against expected dataset endpoints and block anomalies destined for attacker-controlled hosts.

Monitoring Recommendations

Enable auditd or eBPF-based process monitoring on training hosts to capture execve calls made by Python processes.
Forward container and job scheduler logs to a centralized data lake and alert on shell metacharacter patterns in dataset URIs.
Baseline normal WebDataset child-process behavior and alert on deviations such as reverse shells, package installers, or cryptominer binaries.

How to Mitigate CVE-2025-23294

Immediate Actions Required

Upgrade NVIDIA WebDataset to the fixed version identified in the NVIDIA Support Response.
Inventory all training and inference environments, containers, and Python virtual environments that install webdataset, and prioritize multi-tenant and internet-facing hosts.
Restrict which users and service accounts can submit dataset URLs or shard paths to WebDataset-based pipelines.

Patch Information

NVIDIA has released updated WebDataset packages that address the OS command injection flaw. Consult the NVIDIA Support Response for the specific fixed versions and update instructions. Rebuild container images and retrain job templates against the patched release, and revoke any images that still bundle vulnerable versions.

Workarounds

Run WebDataset-based jobs under dedicated, least-privileged service accounts with no access to production secrets or model registries.
Validate dataset URLs and shard paths against a strict allowlist and reject inputs containing shell metacharacters before they reach WebDataset.
Execute training workloads inside hardened containers with read-only filesystems, seccomp profiles, and egress network restrictions to constrain post-exploitation activity.

bash

# Configuration example: upgrade WebDataset and enforce input validation
pip install --upgrade webdataset

# Example allowlist check before invoking WebDataset
python - <<'EOF'
import re, sys
url = sys.argv[1]
if not re.fullmatch(r'https://datasets\.internal/[A-Za-z0-9_\-./]+\.tar', url):
    raise SystemExit('Rejected: untrusted dataset URI')
EOF