CVE-2026-24270 Overview
CVE-2026-24270 is an authentication bypass vulnerability in the NVIDIA AIStore framework, an open-source, lightweight object storage system designed for AI and machine learning workloads. The flaw allows a remote, unauthenticated attacker to bypass authentication controls over the network. Successful exploitation can lead to denial of service, privilege escalation, information disclosure, and data tampering within affected AIStore deployments. The vulnerability is categorized under CWE-290: Authentication Bypass by Spoofing.
Critical Impact
Unauthenticated attackers with network access to AIStore can compromise confidentiality, integrity, and availability of stored AI/ML data assets without user interaction.
Affected Products
- NVIDIA AIStore framework (see the NVIDIA Product Security advisory for affected versions)
Discovery Timeline
- 2026-07-01 - CVE-2026-24270 published to NVD
- 2026-07-01 - Last updated in NVD database
Technical Details for CVE-2026-24270
Vulnerability Analysis
NVIDIA AIStore is a distributed object store used to serve large datasets to AI and machine learning training clusters. CVE-2026-24270 exists in the authentication layer of the framework, where identity verification can be bypassed by a remote attacker. Because AIStore commonly holds training corpora, model artifacts, and inference data, an authentication bypass exposes core assets of AI pipelines.
The vulnerability is exploitable over the network with low attack complexity and requires no privileges or user interaction. An attacker who reaches the AIStore endpoints can invoke privileged operations as if they were an authenticated principal. This yields four distinct impact classes: denial of service, privilege escalation, information disclosure, and data tampering.
Data tampering is particularly consequential in AI environments. Modified training data or model weights can silently degrade model accuracy or introduce backdoors that survive downstream deployment.
Root Cause
The root cause is an authentication bypass classified as [CWE-290]. Authentication decisions rely on identity data that an attacker can spoof or omit, allowing requests to be treated as trusted without valid credentials. Consult the NVIDIA Product Security advisory for authoritative technical details.
Attack Vector
The attack vector is network-based. An attacker sends crafted requests to an exposed AIStore proxy or target endpoint and obtains access without presenting valid credentials. From there, the attacker can enumerate buckets, exfiltrate objects, overwrite or delete data, and disrupt service availability. No verified public exploit code is available at the time of publication, and the vulnerability is not listed in the CISA Known Exploited Vulnerabilities catalog.
Detection Methods for CVE-2026-24270
Indicators of Compromise
- Unauthenticated or anomalous HTTP requests to AIStore proxy and target endpoints originating from unexpected source IPs.
- Unexpected object create, overwrite, or delete operations on AIStore buckets outside of scheduled training pipelines.
- Administrative or cluster-management API calls issued without a preceding successful authentication event in audit logs.
- Sudden spikes in AIStore request volume or error rates that correlate with data exfiltration patterns.
Detection Strategies
- Enable and centralize AIStore access and audit logs, then alert on requests to sensitive endpoints that lack corresponding authentication tokens or sessions.
- Baseline normal client behavior per bucket and flag deviations in object access patterns, geographies, or user agents.
- Correlate network flow data with AIStore process telemetry to identify north-south traffic from untrusted networks reaching storage endpoints.
Monitoring Recommendations
- Forward AIStore, reverse proxy, and Kubernetes ingress logs into a centralized analytics platform for retention and correlation.
- Monitor host-level telemetry on AIStore nodes for unauthorized process execution, credential access, or lateral movement.
- Track configuration drift on AIStore authentication settings and alert when authentication is disabled or downgraded.
How to Mitigate CVE-2026-24270
Immediate Actions Required
- Apply the fixed AIStore release referenced in the NVIDIA Product Security advisory as soon as it is available in your environment.
- Restrict network exposure of AIStore proxy and target endpoints so they are reachable only from trusted training and inference networks.
- Audit AIStore buckets for unauthorized modifications, unexpected object versions, and unknown access keys created during the exposure window.
- Rotate any authentication tokens, access keys, or shared secrets used by AIStore clients and administrators.
Patch Information
Refer to the NVIDIA Product Security advisory for bulletin 5849 for the authoritative list of fixed versions and upgrade guidance. Additional metadata is available in the NVD entry for CVE-2026-24270 and the CVE.org record.
Workarounds
- Place AIStore behind an authenticating reverse proxy or service mesh that enforces mutual TLS and rejects unauthenticated requests.
- Apply network segmentation and firewall rules so that only known training clusters and administrative hosts can reach AIStore ports.
- Disable any unused AIStore APIs and administrative endpoints to reduce the reachable attack surface until a patch is applied.
# Configuration example: restrict AIStore proxy exposure with host-level firewalling
# Allow only the trusted training subnet to reach the AIStore proxy port
iptables -A INPUT -p tcp --dport 51080 -s 10.20.0.0/16 -j ACCEPT
iptables -A INPUT -p tcp --dport 51080 -j DROP
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
