CVE-2026-57258 in PDF Editor
Summary
by MITRE • 07/08/2026
The PRC file header parsing logic trusts the constructed file structure description information, assumes that the underlying array contains elements and reads them, leading to out-of-bounds reads and application crashes.
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Analysis
by VulDB Data Team • 07/08/2026
The vulnerability described represents a critical memory safety issue within PRC file parsing implementations where the system fails to validate array bounds before accessing structured data elements. This flaw resides in the file header parsing logic which operates under the assumption that all constructed file structure descriptions contain valid data elements, creating a dangerous trust model that can be exploited through malformed input files. The vulnerability manifests when the application attempts to read beyond allocated memory boundaries during PRC file processing, resulting in unpredictable behavior including application crashes and potential system instability.
This security weakness fundamentally stems from inadequate bounds checking mechanisms within the parsing routine, allowing attackers to craft malicious PRC files that contain malformed header structures designed to trigger out-of-bounds memory access patterns. The flaw can be classified as a classic buffer overflow condition that occurs during array traversal operations, where the code assumes array elements exist without proper validation of the underlying data structure's integrity. Such vulnerabilities are particularly dangerous in file processing applications where user-supplied input directly influences memory access patterns and can be leveraged to execute arbitrary code or cause denial of service conditions.
The operational impact of this vulnerability extends beyond simple application instability, as it provides potential attackers with a pathway for remote code execution or system compromise through carefully crafted PRC files. When the application encounters malformed file headers that specify array sizes larger than the actual data available, the parsing logic attempts to access memory locations that may contain sensitive information or may be unmapped, leading to segmentation faults or more sophisticated exploitation techniques. This type of vulnerability is particularly concerning in environments where applications process untrusted file inputs from external sources, as it creates opportunities for privilege escalation and persistent system compromise.
The technical characteristics of this flaw align with common weakness enumerations such as CWE-129, which describes improper validation of array index bounds, and CWE-787, which covers out-of-bounds write operations. From an adversarial perspective, this vulnerability can be mapped to attack techniques within the ATT&CK framework including T1059 for command and scripting interpreter usage and T1203 for exploitation for privilege escalation. The vulnerability demonstrates a clear lack of defensive programming practices where input validation should occur before any memory access operations, particularly in file parsing scenarios where malformed data is common. Proper implementation would include bounds checking mechanisms that verify array dimensions against actual data availability before attempting element access.
Mitigation strategies must focus on implementing comprehensive input validation and bounds checking throughout the PRC file parsing process, ensuring that all array access operations are preceded by explicit size verification. Security-conscious development practices should incorporate automated testing procedures that specifically target boundary condition scenarios, including zero-length arrays, oversized array specifications, and malformed header structures. Additionally, runtime protection mechanisms such as address space layout randomization and stack canaries should be enabled to reduce the exploitability of any remaining vulnerabilities. Regular security audits and code reviews focusing on memory safety patterns will help identify similar issues in other file parsing components and establish robust defensive measures against future variants of this class of vulnerability.