CVE-2024-23600 in OPENIDM
Summary
by MITRE • 08/01/2024
Improper Input Validation of query search results for private field data in PingIDM OPENIDM (Query Filter module) allows for a potentially efficient brute forcing approach leading to information disclosure.
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Analysis
by VulDB Data Team • 11/01/2024
The vulnerability identified as CVE-2024-23600 represents a critical flaw in PingIDM OPENIDM's Query Filter module that stems from improper input validation during query search result processing. This weakness specifically affects the handling of private field data within search operations, creating an avenue for attackers to exploit the system's query mechanisms. The vulnerability manifests when the system fails to adequately validate and sanitize input parameters used in search queries, particularly those targeting private fields that should remain protected from unauthorized access. This improper validation creates a scenario where malicious actors can manipulate search parameters to bypass normal access controls and potentially gain insights into private data that should be restricted to authorized users only.
The technical implementation of this vulnerability resides in the Query Filter module's insufficient validation of search parameters that reference private fields. When users submit search queries containing specific filter criteria, the system should validate these inputs to ensure they comply with established access control policies and do not attempt to access restricted data. However, in this case, the validation process fails to properly restrict access to private field data, allowing attackers to craft search queries that can systematically probe and extract information from protected fields. The vulnerability's design flaw essentially permits an attacker to manipulate the query structure to bypass normal authorization checks, creating a pathway for information disclosure through what should be controlled access points. This type of vulnerability aligns with CWE-20, which describes improper input validation, and represents a specific instance of how inadequate parameter validation can lead to unauthorized data access.
The operational impact of CVE-2024-23600 extends beyond simple information disclosure, as it enables a potentially efficient brute forcing approach that can systematically uncover private data. Attackers can leverage this vulnerability to construct search queries that iteratively probe different combinations of private field data, effectively creating a methodical approach to data extraction. The efficiency of this brute forcing technique stems from the system's failure to implement proper rate limiting or access control enforcement during query processing. This vulnerability particularly affects environments where PingIDM OPENIDM serves as a central identity management platform, as the compromised system could provide attackers with access to sensitive user information, authentication credentials, or other private data elements that are typically protected by access control mechanisms. The potential for cascading effects exists when this information is used to facilitate further attacks or unauthorized access to related systems.
Organizations implementing PingIDM OPENIDM should prioritize immediate remediation of this vulnerability through proper input validation mechanisms and enhanced query filtering controls. The recommended mitigation strategy involves strengthening the Query Filter module to enforce strict validation of all search parameters, particularly those targeting private fields, and implementing comprehensive access control checks that validate user permissions before processing any search requests. Security measures should include input sanitization routines that prevent malicious parameter injection, rate limiting mechanisms to prevent brute force attempts, and enhanced monitoring of search query patterns that may indicate exploitation attempts. Additionally, implementing proper logging and alerting for unusual search activities can help detect potential exploitation of this vulnerability. This remediation approach aligns with ATT&CK technique T1213.002 which focuses on data from information repositories, and addresses the broader security principle of least privilege access control that should govern all system interactions. The vulnerability underscores the importance of validating all inputs and implementing robust access control mechanisms to prevent unauthorized data disclosure in identity management systems.