CVE-2026-87730
Summary
by MITRE • 09/15/2026
Rejected reason: 相容性
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Analysis
by VulDB Data Team • 09/15/2026
The term compatibility in the context of cybersecurity refers to the ability of different software components, systems, or protocols to operate together without causing unintended behavior, security degradation, or functional failures. In vulnerability analysis, lack of proper input validation regarding compatible data formats is a frequent root cause for many critical flaws. When an application accepts inputs from external sources that are not strictly validated against expected schemas, it may inadvertently process maliciously crafted payloads designed to exploit parsing inconsistencies between different versions or implementations of the same protocol. This often leads to buffer overflows, injection attacks, or logic bypasses where the attacker leverages differences in how various systems interpret specific byte sequences or encoding methods.
A common manifestation of this issue is found in parsers that handle multiple data formats such as XML JSON or binary protocols like ASN1 If a system does not enforce strict type checking and length constraints on incoming fields it may allow an attacker to inject unexpected characters that alter the execution flow For example in XML parsing external entity injection attacks often rely on the parser's compatibility with various DTD definitions allowing attackers to read local files or perform server side request forgery Similarly in binary protocol implementations mismatched endianness or incorrect integer size assumptions can lead to off by one errors which are classic precursors to heap corruption and arbitrary code execution These flaws arise because developers assume that all clients will adhere to a specific standard while failing to account for edge cases where non compliant but technically valid inputs trigger undefined behavior within the application logic.
The operational impact of compatibility related vulnerabilities is severe as they often bypass traditional security controls such as firewalls or intrusion detection systems which may not inspect deep packet payloads thoroughly enough to detect subtle parsing anomalies These flaws can lead to complete system compromise data exfiltration denial of service conditions where a malformed request crashes the server process and privilege escalation if the vulnerable component runs with elevated privileges Furthermore these vulnerabilities are particularly dangerous because they often remain undetected for long periods since standard functional testing may not cover all possible combinations of input variations across different client versions or operating environments This makes them attractive targets for advanced persistent threats who seek to establish a foothold in networks using obscure but effective exploitation techniques.
Mitigation strategies must focus on rigorous input validation and normalization processes Developers should implement allow listing approaches where only explicitly defined valid inputs are accepted rejecting all others by default Additionally employing robust parsing libraries that have been extensively tested against known edge cases rather than writing custom parsers can significantly reduce the risk of implementation errors It is also crucial to enforce strict schema definitions such as JSON Schema or XML DTDs and to validate data types lengths and ranges before processing Furthermore regular security audits including fuzz testing specifically designed to generate malformed inputs based on protocol specifications help identify compatibility gaps early in the development lifecycle Adopting secure coding standards like those outlined by OWASP ensures that developers are aware of common pitfalls related to input handling across different platforms Finally keeping all software components up to date with vendor patches is essential as many compatibility issues are resolved through updates that tighten parsing logic and close previously unknown attack vectors.