CVE-2025-33186 Overview
CVE-2025-33186 is a high-severity vulnerability in the authentication component (AuthN) of NVIDIA AIStore, a scalable object storage system used for AI and machine learning workloads. The flaw is categorized under [CWE-798: Use of Hard-coded Credentials], indicating that fixed authentication material is embedded in the AuthN service. A successful exploit can lead to privilege escalation, information disclosure, and data tampering against AIStore deployments. The issue carries a CVSS 3.1 score of 8.8 and is exploitable over the network with low attack complexity, though it requires user interaction to trigger.
Critical Impact
An attacker who exploits the AuthN weakness can escalate privileges within AIStore, read sensitive stored objects, and tamper with data used to train or serve AI models.
Affected Products
- NVIDIA AIStore (AuthN component)
- AI/ML data pipelines that rely on AIStore for object storage
- Deployments using AIStore's bundled authentication service
Discovery Timeline
- 2025-11-11 - CVE-2025-33186 published to NVD
- 2026-04-15 - Last updated in NVD database
Technical Details for CVE-2025-33186
Vulnerability Analysis
NVIDIA AIStore ships with an authentication service known as AuthN that issues and validates tokens used to gate access to buckets and objects. CVE-2025-33186 stems from a hard-coded credential weakness within this AuthN component, classified as [CWE-798]. Because the credential or signing material is embedded in the distributed software, every deployment that does not override the default shares the same secret. An attacker who learns the embedded value can authenticate as a privileged identity without compromising any individual operator's account.
The vulnerability affects all three pillars of the CIA triad. Confidentiality fails when the attacker reads stored datasets and model artifacts. Integrity fails when the attacker rewrites or deletes objects, including training data. Availability fails when the attacker removes buckets or revokes tokens for legitimate users.
Root Cause
The root cause is the presence of static, predictable authentication material inside the AuthN service rather than per-deployment secrets generated at install time. This design pattern collapses the trust boundary between the upstream vendor distribution and the operator's runtime environment.
Attack Vector
Exploitation occurs over the network against the AIStore AuthN endpoint. The CVSS vector indicates user interaction is required, suggesting the attacker may need an administrator or user to perform an action such as visiting a crafted URL, importing a malicious configuration, or initiating a client request that the attacker can intercept or influence. No privileges are required prior to exploitation. See the NVIDIA Support Answer for vendor-supplied technical context.
No public proof-of-concept code has been released, and no verified exploit examples are available for inclusion here.
Detection Methods for CVE-2025-33186
Indicators of Compromise
- Authentication events to the AIStore AuthN service from unexpected source IP addresses or geographies.
- Tokens issued for administrative roles outside of normal change windows or operator activity.
- Bulk read, write, or delete operations against buckets containing training data or model artifacts.
- Configuration changes to AuthN users, roles, or cluster registrations performed outside approved automation.
Detection Strategies
- Compare AuthN signing keys and bootstrap credentials against vendor defaults to confirm operators have rotated them.
- Alert on token issuance events that use default or factory identities still present in the deployment.
- Baseline normal AIStore client behavior and flag anomalous object enumeration or large-scale GET/PUT bursts.
Monitoring Recommendations
- Forward AIStore and AuthN access logs to a centralized SIEM such as Singularity Data Lake for correlation with identity telemetry.
- Monitor north-south traffic to AIStore endpoints for unauthenticated probes and credential reuse patterns.
- Track changes to AuthN configuration files and container images using file integrity monitoring.
How to Mitigate CVE-2025-33186
Immediate Actions Required
- Apply the fixed AIStore release as referenced in the NVIDIA Support Answer for CVE-2025-33186.
- Rotate any AuthN signing secrets, tokens, and administrative credentials that may have been generated under the vulnerable build.
- Restrict network access to the AIStore AuthN service to trusted management networks while patching is in progress.
- Review audit logs for token issuance and privileged operations during the exposure window.
Patch Information
NVIDIA has published remediation guidance in security bulletin NVIDIA Answer ID 5724. Operators should upgrade to the version specified in that advisory and follow vendor steps for regenerating authentication material. Additional metadata is available in the NVD entry for CVE-2025-33186 and the CVE.org record.
Workarounds
- Place AIStore behind a reverse proxy that enforces mutual TLS or an external identity provider until the patch is applied.
- Disable or firewall the AuthN service if the deployment can rely on an external authentication mechanism.
- Apply network segmentation so that only AI training and inference workloads can reach AIStore endpoints.
# Configuration example: restrict AIStore AuthN exposure with host firewall rules
# Allow only the trusted management subnet to reach the AuthN port (default 52001)
iptables -A INPUT -p tcp --dport 52001 -s 10.10.0.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 52001 -j DROP
# Rotate AuthN admin credentials after upgrading
ais auth user rm admin
ais auth user add admin --password "$(openssl rand -base64 32)"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
