External risk intelligence

NVIDIA AIStore Authentication Bypass Vulnerability

CVE advisorySeverity: CRITICAL (CVSS 9.8)

CVE-2026-24270

NVIDIA AIStore is a data orchestration framework designed for AI and machine learning workloads. Such platforms typically provide web-based interfaces, APIs, and gateway services to manage, access, and distribute large-scale datasets across distributed clusters, making them common targets for network-facing deployments.

Information Disclosure

Halo Surface Signal: 4 out of 5 — likely to be public-facing.

External exposure likelihood

Horizon Alert

Summary of the vulnerability and why it matters

This advisory addresses a critical vulnerability within NVIDIA's AIStore framework, which could allow unauthorized access and potentially lead to service disruptions, unauthorized data access or modification, and privilege escalation. Given the potential for broad impact, it is important to confirm if your organization utilizes this specific NVIDIA technology and assess any associated exposure.

  • Authentication bypass in AIStore.
  • Potential for unauthorized access and control.
  • Confirm usage and assess risk.

Attack Path

How an attacker could exploit the issue

An attacker could gain unauthorized access to the NVIDIA AIStore framework over the network without needing any credentials. This bypass of authentication mechanisms could then allow the attacker to perform malicious actions.

  • Network exposure required.
  • Bypass authentication to trigger.
  • Leads to DoS, privilege escalation, info disclosure, or data tampering.

Live Threat

Current exploitation, exposure, and threat context

This vulnerability in the NVIDIA AIStore framework could allow an unauthenticated attacker to bypass security controls. If exploited, this could impact service availability, potentially leading to unauthorized access, modification, or disclosure of data managed by the AIStore.

  • System data and service availability.
  • Unauthenticated network access.
  • Service disruption and data compromise.

Operational Fix

Recommended remediation, mitigation, and detection steps

This vulnerability in the NVIDIA AIStore framework requires immediate attention from teams managing AI and machine learning infrastructure. The first step is to identify all instances of the AIStore framework, confirm their exposure to the network, assess their business criticality, and determine the accountable owner. This information will inform a prioritized remediation plan.

  • Identify AIStore owners and assets.
  • Verify network exposure and criticality.
  • Plan phased remediation by risk.

Supplementary metadata

Validate whether this threat affects your internet-facing exposure.

Halo Threat Intelligence helps prioritize remediation with Halo Surface Signal and H/A/L/O context. Start exposure validation with a free external attack surface trial.

Frequently asked questions

What is the NVIDIA AIStore framework?

NVIDIA AIStore is a software framework built to orchestrate and manage massive datasets for AI and machine learning workflows. It operates by providing distributed clusters that use web-based interfaces and APIs to move, access, and distribute large-scale data efficiently across computing environments.

How does CVE-2026-24270 work?

This vulnerability is classified as an authentication bypass, specifically under CWE-290. In simple terms, it means the security gate intended to verify a user's identity before granting access can be skipped entirely. By bypassing these checks, an unauthorized person can interact with the system as if they were an authenticated user.

Do I need to be logged in to trigger CVE-2026-24270?

No, you do not need credentials to trigger this issue. The vulnerability allows an attacker to bypass authentication mechanisms from the network. It does not require any prior legitimate session or authorized access to initiate, as the defect exists within the framework's own authentication logic.

Is my AIStore instance at risk?

According to Halo Surface Signal, AIStore is typically deployed with network-facing components like web interfaces and gateway services to support distributed data access. Because the attack vector is network-based, any instance reachable over the network is considered to have external exposure, increasing the likelihood that it could be targeted.

How should I respond to this advisory?

Start by identifying every instance of AIStore running in your environment and confirming who is responsible for each asset. Once you have an inventory, evaluate whether these systems are connected to a network and determine how critical they are to your business operations to guide your next steps.

References