External risk intelligence

Lablup BackendAI Registration Missing Authentication Allows Unauthorized Account Creation

CVE advisorySeverity: CRITICAL (CVSS 9.8)

CVE-2025-49652

BackendAI is a platform designed to manage and orchestrate AI/ML workloads. Registration and user management interfaces are typically exposed to the network to allow developers and data scientists to access the platform, making this authentication vulnerability likely to be reachable via public-facing or externally accessible deployments of the backend service.

Missing Authentication

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 details a critical security flaw in Lablup's BackendAI, a platform used for managing AI and machine learning operations. The vulnerability permits unauthorized individuals to create accounts and access private data, even if new account creation is supposedly disabled. This could potentially expose sensitive information and compromise the integrity of AI/ML workloads.

  • Uncontrolled user creation grants access to private data.
  • Critical flaw risks unauthorized access to AI/ML platforms.
  • Confirm if BackendAI is in use and assess exposure.

Attack Path

How an attacker could exploit the issue

An unauthenticated attacker could exploit this vulnerability by accessing the registration feature of Lablup's BackendAI. Even if new user sign-ups are supposedly turned off, the flaw allows anyone to create an account. Once an account is created, the attacker can then access private data.

  • No prior access needed.
  • Registration feature.
  • Unauthorized access to private data.

Live Threat

Current exploitation, exposure, and threat context

Missing authentication in the registration feature of Lablup's BackendAI could allow unauthorized users to create accounts and access private data, even if registration is intended to be disabled. This could expose sensitive information or disrupt service behavior when the registration feature is accessible.

  • Private data.
  • Arbitrary users can create accounts.
  • Unauthorized access to private data.

Operational Fix

Recommended remediation, mitigation, and detection steps

The Lablup BackendAI registration feature's Missing Authentication vulnerability requires immediate attention from the platform or infrastructure team responsible for its deployment. The first practical step is to confirm the presence of this technology, assess its external reachability and business criticality, and identify the accountable system owner before planning remediation.

  • Platform/Infrastructure teams own the issue.
  • Verify external reachability and criticality.
  • Plan remediation based on 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 Lablup BackendAI used for?

Lablup BackendAI is an orchestration platform designed to manage and scale AI and machine learning workflows. It provides the infrastructure necessary for data scientists and developers to run experiments, share resources, and coordinate complex computational tasks across various environments.

What does the Missing Authentication vulnerability in CVE-2025-49652 mean?

This vulnerability, classified as CWE-306, means the system fails to verify the identity of a user attempting to use the registration feature. Because this check is absent, the software trusts any incoming request as legitimate, allowing unauthorized individuals to bypass account creation restrictions.

How can an attacker trigger this vulnerability?

An attacker triggers this flaw by interacting with the BackendAI registration interface directly. It does not matter if the administrator has configured the platform to disable new sign-ups; the bug allows requests to proceed regardless of those settings. The vulnerability is not triggered by legitimate, authenticated user actions.

Is my deployment at risk from CVE-2025-49652?

According to Halo Surface Signal, this risk is likely if your BackendAI instance is reachable via a network. Because these platforms are often hosted to allow remote access for collaborative AI work, any instance exposed to public or external networks is at a significantly higher risk of exploitation.

What should I do if I use BackendAI?

First, verify if you are running the affected software within your infrastructure. Once identified, map out which instances are accessible over the network. Locate the system owner responsible for the deployment and coordinate with them to assess the business impact while prioritizing security updates or access restrictions.

References