CVE-2018-25154 in Barcode
Summary
by MITRE • 12/24/2025
GNU Barcode 0.99 contains a buffer overflow vulnerability in its code 93 encoding process that allows attackers to trigger memory corruption. Attackers can exploit boundary errors during input file processing to potentially execute arbitrary code on the affected system.
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Analysis
by VulDB Data Team • 12/28/2025
The vulnerability identified as CVE-2018-25154 resides within GNU Barcode version 099 and represents a critical buffer overflow condition that manifests during the Code 93 encoding process. This flaw constitutes a fundamental security weakness in the software's input handling mechanisms, specifically targeting the memory management protocols used when processing barcode data. The vulnerability is particularly concerning as it operates at the core level of data processing where boundary checks fail to properly validate input lengths against allocated memory buffers. When an attacker provides maliciously crafted input data that exceeds expected buffer limits during Code 93 encoding operations, the system experiences memory corruption that can lead to unpredictable behavior and potential code execution.
The technical implementation of this vulnerability stems from inadequate input validation within the barcode generation library's encoding algorithms. During the Code 93 encoding process, the software fails to properly enforce boundary conditions on input data, allowing attackers to overflow predetermined buffer sizes. This condition aligns with CWE-121, which categorizes buffer overflow vulnerabilities occurring in stack-based buffers, and represents a classic example of memory safety issues in C-based applications. The flaw operates by manipulating the input processing flow to write data beyond the allocated buffer boundaries, potentially overwriting adjacent memory locations including return addresses and control data structures.
From an operational perspective, this vulnerability creates significant risk for systems that utilize GNU Barcode for processing potentially untrusted input data. Attackers can exploit this weakness by crafting specially formatted input files that trigger the buffer overflow during barcode generation operations, particularly when processing Code 93 formatted data. The potential for arbitrary code execution makes this vulnerability particularly dangerous in environments where the barcode processing software runs with elevated privileges or handles sensitive data. Systems that automatically process incoming barcode data from external sources, such as inventory management systems or automated data entry platforms, become prime targets for exploitation. The vulnerability can be leveraged to gain unauthorized access to affected systems, potentially leading to complete system compromise or data exfiltration.
Mitigation strategies for CVE-2018-25154 must focus on immediate software updates and comprehensive input validation measures. The most effective approach involves upgrading to a patched version of GNU Barcode that addresses the buffer overflow condition through proper boundary checking mechanisms. Organizations should implement input sanitization protocols that validate all barcode data lengths before processing, particularly for Code 93 encoded formats. Network segmentation and privilege separation can help limit the potential impact of successful exploitation attempts. Additionally, implementing runtime protection mechanisms such as address space layout randomization and stack canaries can provide defense-in-depth measures against potential exploitation attempts. The vulnerability also highlights the importance of regular security assessments and vulnerability management programs to identify and remediate similar issues in legacy software components. Security teams should monitor for any related attack patterns or exploitation attempts in threat intelligence feeds while maintaining updated security patches for all barcode processing systems across their infrastructure.