CVE-2026-93623 in AI Engine Plugin
Summary
by MITRE • 09/23/2026
Unauthenticated Insecure Direct Object References (IDOR) in AI Engine <= 3.7.8 versions.
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Analysis
by VulDB Data Team • 09/23/2026
The vulnerability identified as an Unauthenticated Insecure Direct Object Reference within the AI Engine software, specifically affecting versions up to and including 3.7.8, represents a critical failure in access control mechanisms that allows attackers to manipulate object identifiers directly without proper authentication or authorization checks. This flaw stems from the application's reliance on client-supplied input parameters, such as user IDs, document numbers, or session tokens, to locate specific resources within its internal storage systems. Instead of validating whether the requesting entity has legitimate permission to access the targeted data, the system blindly trusts these identifiers and retrieves the corresponding information. This architectural oversight is a classic manifestation of CWE-639, which categorizes Insecure Direct Object References as vulnerabilities where an application exposes internal implementation objects like files or database keys to users without adequate protection against unauthorized manipulation.
From a technical perspective, this vulnerability enables remote attackers to enumerate valid object identifiers and subsequently access sensitive data belonging to other users or administrative entities. By systematically altering numerical or alphanumeric sequences in API endpoints or web requests, an attacker can traverse through the dataset of stored objects. Since no authentication is required for these specific operations, the attack surface is significantly expanded, allowing any internet-connected user with basic networking knowledge to exploit this flaw using simple HTTP request manipulation tools like curl or Burp Suite. The lack of server-side validation means that even if the application implements some form of session management elsewhere, it fails to enforce context-aware access controls for these specific AI engine functions, thereby bypassing security boundaries entirely.
The operational impact of this vulnerability is severe, particularly in environments where the AI Engine processes confidential business logic, proprietary algorithms, or personally identifiable information. Successful exploitation can lead to a complete compromise of data confidentiality, allowing attackers to extract sensitive datasets that were intended for restricted audiences. In some configurations, depending on how the underlying storage handles deletions or updates triggered by these references, there may also be risks associated with integrity and availability, although the primary concern remains unauthorized data disclosure. This exposure undermines trust in the AI system's ability to safeguard proprietary models and training data, potentially leading to significant financial losses, regulatory penalties under frameworks like GDPR or HIPAA if personal data is involved, and reputational damage for the organization deploying the software.
Mitigation strategies must focus on implementing robust access control mechanisms that decouple internal object identifiers from public-facing references. The most effective remediation involves replacing direct object references with indirect mapping tables where a unique, non-guessable identifier maps to the actual resource ID in the database. Furthermore, every request accessing sensitive resources must undergo strict authorization checks at the server level to verify that the authenticated user has explicit permission for the specific target entity, regardless of whether authentication is technically required for other parts of the application. For organizations unable to immediately patch to a version beyond 3.7.8, deploying Web Application Firewalls with rules designed to detect sequential ID enumeration patterns can provide temporary protection against automated exploitation attempts while development teams work on permanent code fixes that align with OWASP API Security Top 10 guidelines regarding broken object level authorization.