CVE-2018-25154
Linux Debian vulnerability analysis and mitigation

Overview

CVE-2018-25154 is a buffer overflow (out-of-bounds write) vulnerability in GNU Barcode version 0.99, specifically within its Code 93 barcode encoding process. The flaw arises from boundary errors during input file processing, allowing attackers to trigger memory corruption and potentially execute arbitrary code. Although the vulnerability originates from 2018, it was formally assigned a CVE and published to NVD on December 24, 2025. It carries a CVSS v3.1 base score of 9.8 (Critical) as assessed by VulnCheck, and a CVSS v4.0 base score of 8.5 (High) (Red Hat Advisory, Red Hat Bugzilla).

Technical details

The vulnerability is classified as CWE-787 (Out-of-bounds Write), rooted in insufficient boundary checking during the Code 93 encoding routine in GNU Barcode 0.99. When processing a specially crafted input file, the application writes data beyond the bounds of an allocated buffer, leading to heap or stack memory corruption. A public exploit entry exists on Exploit-DB (EDB-44797), referenced by VulnCheck as part of the CVE record, suggesting the attack vector involves supplying a malformed barcode input file to the affected application (Red Hat Advisory, Red Hat Bugzilla).

Impact

Successful exploitation can result in memory corruption that leads to arbitrary code execution on the affected system, with potential for full system compromise. The vulnerability affects confidentiality, integrity, and availability at a high level — an attacker could gain unauthorized access, exfiltrate sensitive data, or take complete control of the host running the vulnerable GNU Barcode 0.99 software. The CVSS v3.1 vector (network-accessible, no privileges required, no user interaction) suggests the worst-case scenario involves remote exploitation, though the CVSS v4.0 assessment reflects a local attack vector with passive user interaction (Red Hat Advisory).

Exploitability

A public exploit entry is referenced on Exploit-DB (EDB-44797), indicating that proof-of-concept code has been publicly available since at least 2018, predating the formal CVE assignment. However, as of the time of publication, there is no evidence of active in-the-wild exploitation or threat actor attribution. The EPSS score is approximately 0.052% (0.000520), indicating a low probability of exploitation in the near term. This CVE is not listed in the CISA Known Exploited Vulnerabilities (KEV) catalog (Red Hat Advisory).

Exploitation steps

  1. Reconnaissance: Identify systems running GNU Barcode 0.99, which may be used in barcode generation pipelines, print services, or document processing workflows.
  2. Craft malicious input: Create a specially crafted input file designed to trigger the boundary error in the Code 93 encoding routine — this may involve an oversized or malformed barcode string that exceeds expected buffer limits.
  3. Deliver the payload: Supply the crafted file to the GNU Barcode application, either directly via command-line invocation (e.g., barcode -e 93 -i malicious.txt) or through an application that internally calls GNU Barcode for barcode generation.
  4. Trigger memory corruption: The out-of-bounds write overwrites adjacent memory, potentially corrupting control flow data such as return addresses or function pointers.
  5. Achieve code execution: With a carefully crafted payload, an attacker can redirect execution to attacker-controlled shellcode or a ROP chain, achieving arbitrary code execution under the privileges of the process running GNU Barcode (Red Hat Advisory).

Indicators of compromise

  • File System: Presence of unexpected or malformed input files (e.g., oversized .txt or barcode data files) in directories used by GNU Barcode processing pipelines.
  • Process: Unusual child processes spawned from barcode processing applications; crashes or core dumps from the barcode binary indicating memory corruption events.
  • Logs: Application crash logs or segmentation fault entries in system logs (/var/log/syslog, dmesg) associated with the barcode process; unexpected process exits with signal 11 (SIGSEGV) or signal 6 (SIGABRT).
  • Network: Unexpected outbound connections from barcode processing services following file processing events, which may indicate post-exploitation activity.

Mitigation and workarounds

The primary remediation is to upgrade GNU Barcode beyond version 0.99 to a patched release. As interim mitigations, administrators should implement strict input validation for any files processed by GNU Barcode, restrict access to applications invoking GNU Barcode to trusted users only, and apply network segmentation to limit exposure of services that use the library. Nessus plugin 279832 can be used to detect vulnerable installations (Red Hat Advisory, Red Hat Bugzilla).

Community reactions

The CVE received limited but notable coverage upon its formal publication in December 2025, despite the underlying vulnerability dating to 2018. Brief mentions appeared on Bluesky and Mastodon via security-focused accounts, and it was included in a roundup of new CVEs published on December 25, 2025. Red Hat opened a Bugzilla tracking entry and assessed the severity as medium for their products. No major vendor statements or in-depth researcher write-ups have been published beyond standard database entries (Red Hat Advisory, Red Hat Bugzilla).

Additional resources


SourceThis report was generated using AI

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