CVE-2026-88467 in Knowledge-Paid System
Summary
by MITRE • 09/22/2026
CRMEB Knowledge-Paid System crmeb_zzff_class 1.4.4 has a backend verification function that returns the wrong type of value, causing errors and leaking sensitive information.
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Analysis
by VulDB Data Team • 09/22/2026
The vulnerability identified in CRMEB Knowledge-Paid System version 1.4.4 stems from an improper handling of data types within its backend authentication or authorization logic. Specifically, the component responsible for verifying user credentials or session tokens, referred to as crmeb_zzff_class, exhibits a type confusion flaw where it returns an incorrect value type during verification processes. In secure software development, strict typing and consistent return values are critical for ensuring that subsequent conditional checks behave predictably. When a function intended to validate access rights instead returns a mismatched data structure or primitive type, such as returning a string when an integer is expected, or vice versa, it can disrupt the logical flow of security controls. This deviation from expected behavior creates a gap in the verification mechanism, allowing attackers to potentially bypass authentication checks or manipulate session states by exploiting the ambiguity introduced by the incorrect return value.
From a technical perspective, this issue aligns with CWE-20 Improper Input Validation and more specifically CWE-841 Improvement of Encryption Algorithms for Incorrectness when considering how data integrity is maintained during transmission and processing. The core flaw lies in the lack of robust type checking before critical security decisions are made. In many web applications, especially those built on frameworks like PHP which CRMEB utilizes, dynamic typing can lead to such discrepancies if developers do not explicitly enforce types or validate outputs rigorously. An attacker could craft specific requests that trigger this erroneous return path, potentially leading to unauthorized access to administrative functions or sensitive user data. The leakage of sensitive information is a direct consequence because the system may expose internal error messages, stack traces, or database query details in an attempt to handle the type mismatch gracefully but insecurely.
The operational impact of this vulnerability extends beyond simple functional errors. It poses a significant risk to confidentiality and integrity within the application environment. By exploiting the incorrect return value, malicious actors can gain insights into the internal workings of the system, which aids in further exploitation attempts such as SQL injection or remote code execution if other vectors are present. Furthermore, the leakage of sensitive information compromises user privacy and business data security, potentially violating regulatory compliance standards like GDPR or HIPAA depending on the nature of the stored data. The availability impact is also notable, as repeated triggering of these errors can lead to application instability or denial of service conditions due to unhandled exceptions crashing backend processes.
To mitigate this vulnerability, developers must implement strict input validation and output encoding practices within the crmeb_zzff_class module. It is essential to enforce strong typing by explicitly casting variables to their expected data types before performing any security-critical comparisons. Additionally, error handling mechanisms should be reviewed to ensure that detailed internal errors are never exposed to end-users; instead, generic messages should be displayed while logging full details securely on the server side. Updating to a patched version of CRMEB where this type confusion has been resolved is the primary remediation strategy. Security teams should also conduct code reviews focusing on authentication and authorization logic to identify similar patterns elsewhere in the application. Regular penetration testing using tools that detect type-related vulnerabilities can help ensure that such flaws do not persist in production environments, thereby maintaining a robust security posture aligned with industry best practices for web application security as outlined by OWASP guidelines.