CVE-2026-30886

March 24, 2026, 3:54 p.m.

6.5
Medium

Description

New API is a large language mode (LLM) gateway and artificial intelligence (AI) asset management system. Prior to version 0.11.4-alpha.2, an Insecure Direct Object Reference (IDOR) vulnerability in the video proxy endpoint (`GET /v1/videos/:task_id/content`) allows any authenticated user to access video content belonging to other users and causes the server to authenticate to upstream AI providers (Google Gemini, OpenAI) using credentials derived from tasks they do not own. The missing authorization check is a single function call — `model.GetByOnlyTaskId(taskID)` queries by `task_id` alone with no `user_id` filter, while every other task-lookup in the codebase enforces ownership via `model.GetByTaskId(userId, taskID)`. Version 0.11.4-alpha.2 contains a patch.

Product(s) Impacted

Vendor Product Versions
Ai
  • Ai Asset Management System
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-639
Authorization Bypass Through User-Controlled Key
The system's authorization functionality does not prevent one user from gaining access to another user's data or record by modifying the key value identifying the data.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a ai ai_asset_management_system / / / / / / / /

CVSS Score

6.5 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N

    View Vector String

Timeline

Published: March 23, 2026, 8:16 p.m.
Last Modified: March 24, 2026, 3:54 p.m.

Status : Undergoing Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.