CVE-2026-17282 in API Connectinfo

Summary

by MITRE • 11/07/2026

IBM API Connect 10.0.8.0 through 10.0.8.12 and 12.1.0.0 through 12.1.1.2 could allow a remote authenticated attacker to obtain sensitive information due to broken object-level authorization.

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Analysis

by VulDB Data Team • 11/07/2026

The vulnerability identified in IBM API Connect versions ranging from 10.0.8.0 to 10.0.8.12 and 12.1.0.0 to 12.1.1.2 represents a critical failure in access control mechanisms, specifically categorized under the principle of broken object-level authorization. This flaw allows remote authenticated attackers to bypass intended security restrictions by manipulating identifiers associated with specific resources within the API management platform. Unlike authentication failures where an attacker lacks valid credentials, this vulnerability exploits the fact that while the user is properly authenticated and authorized for general access, they are not correctly restricted from accessing objects belonging to other tenants or users. This distinction highlights a fundamental gap in how the application validates ownership and permissions at the individual resource level rather than just at the session or role level.

From a technical perspective, this issue typically manifests when an API endpoint accepts parameters such as object IDs, UUIDs, or sequential numbers without sufficiently verifying that the requesting user has explicit permission to interact with that specific instance of data. By incrementing or modifying these identifiers in HTTP requests, an attacker can traverse through resources they should not be able to view. This mechanism is often referred to as Insecure Direct Object Reference (IDOR), a common weakness listed under CWE-639 in the Common Weakness Enumeration database. The root cause lies in the application logic failing to perform proper authorization checks against the session context for every individual object access request, relying instead on implicit trust of client-supplied identifiers or insufficient server-side validation of resource ownership.

The operational impact of this vulnerability is significant, particularly in multi-tenant environments where data isolation between different organizations or departments is paramount. An attacker who successfully exploits this flaw can extract sensitive information such as customer personal identifiable information (PII), proprietary business logic configurations, internal API definitions, or administrative settings that are not meant to be public. This unauthorized access compromises the confidentiality of the system and violates regulatory compliance requirements related to data protection, such as GDPR or HIPAA, depending on the nature of the exposed data. Furthermore, because the attacker is authenticated, their actions may leave audit logs that appear legitimate, making detection through standard monitoring tools more difficult without specialized anomaly detection capabilities focused on access pattern analysis.

To mitigate this risk, organizations running affected versions must apply the latest security patches provided by IBM as soon as possible. In addition to patching, developers and administrators should review API gateway configurations to ensure that strict object-level authorization checks are implemented for all endpoints handling sensitive data. This involves validating user permissions against every resource identifier before processing a request, rather than relying solely on role-based access control at the endpoint level. Implementing robust input validation and employing security testing methodologies such as dynamic application security testing (DAST) can help identify similar flaws in custom integrations or extensions within the API Connect environment. Continuous monitoring for unusual patterns of object access requests should also be established to detect potential exploitation attempts in real time, aligning with ATT&CK techniques related to Collection via Local Network Sharing or Data from Information Repositories depending on the specific data exfiltration method used by an attacker.

Responsible

Ibm

Reservation

07/25/2026

Disclosure

11/07/2026

Moderation

accepted

EPSS

0.00000

KEV

no

Activities

very low

Sources

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