CVE-2025-54462
Linux Debian vulnerability analysis and mitigation

Overview

CVE-2025-54462 is a heap-based buffer overflow vulnerability in the Nex file parsing functionality of The Biosig Project libbiosig, an open-source library for processing medical signal data (EEG, EKG, etc.). Discovered and disclosed by Cisco Talos on August 25, 2025, it affects libbiosig version 3.9.0 and the Master Branch (commit 35a819fa). A specially crafted .nex file can trigger arbitrary code execution with no authentication or user interaction required. It carries a CVSS v3.1 base score of 9.8 (Critical) (Talos Advisory).

Technical details

The vulnerability (CWE-122: Heap-based Buffer Overflow) resides in the sopen_extended function within biosig.c, specifically in the Plexon NeuroExplorer (Nex) file format parsing code path. The root cause is an inconsistency between two code phases: the "channel code" phase accumulates the total event count (hdr->EVENT.N) only for channels with type values of 0, 1, or 2, and uses this count to size the event table heap buffers via reallocEventTable. However, the subsequent "event code" phase increments its cumulative counter N for all channel types regardless of value. When a crafted .nex file contains channels with type > 2 and a non-zero event count, N in the event code can far exceed the allocated buffer size, causing out-of-bounds writes to heap buffers (hdr->EVENT.POS, hdr->EVENT.TYP, hdr->EVENT.CHN, hdr->EVENT.DUR). Critically, both the write offset and the data written are derived from attacker-controlled values in the input file, making exploitation of this primitive feasible for achieving arbitrary code execution (Talos Advisory).

Impact

Successful exploitation allows a remote, unauthenticated attacker to achieve arbitrary code execution on any system processing a malicious .nex file with libbiosig. Given that libbiosig underpins biosig APIs used in Octave, MATLAB, sigviewer, and other biomedical signal processing software, the affected asset scope includes scientific and clinical computing environments. Full confidentiality, integrity, and availability impacts are possible, including complete system compromise, unauthorized data access, and potential lateral movement within research or healthcare networks (Talos Advisory).

Exploitability

A proof-of-concept (PoC) exploit file is publicly available via the Cisco Talos advisory (TALOS-2025-2239), published on August 25, 2025. No authentication, privileges, or user interaction are required to trigger the vulnerability — an attacker need only supply a malicious .nex file to a system or application that processes it with libbiosig. There is no confirmed evidence of in-the-wild exploitation at this time, and the vulnerability is not listed in the CISA KEV catalog. The EPSS score is approximately 0.078% (Talos Advisory).

Exploitation steps

  1. Craft a malicious .nex file: Construct a file beginning with the magic bytes NEX (first 3 bytes) to pass libbiosig's file type detection. Set the fourth byte to encode a Nex format version (e.g., 1 or 5).
  2. Set channel count and type: In the file header at offset 280, encode a channel count (k) that includes at least one channel with a type field value greater than 2 (e.g., type 3 or 4) and a large non-zero event count (n) for that channel.
  3. Trigger buffer sizing mismatch: When libbiosig's "channel code" processes the file, it will only count events for channels with type 0, 1, or 2, allocating undersized heap buffers via reallocEventTable.
  4. Trigger out-of-bounds write: When the "event code" phase runs, it accumulates N for all channel types, causing N to far exceed the allocated buffer size. Writes to hdr->EVENT.POS[N+l] and related buffers overflow the heap.
  5. Control write primitive: Since both the write offset (N) and the data written (read from hc->bufptr, itself derived from file data) are attacker-controlled, craft the file to overwrite adjacent heap metadata or function pointers to redirect execution.
  6. Achieve code execution: Depending on heap layout and mitigations (ASLR, heap hardening), leverage the controlled write to execute a payload, such as a reverse shell or implant (Talos Advisory).

Indicators of compromise

  • File System: Presence of unexpected or externally sourced .nex files in directories processed by libbiosig-based applications (e.g., sigviewer, Octave/MATLAB biosig toolboxes); files beginning with NEX magic bytes but containing malformed or oversized channel/event headers.
  • Process: Crashes or segmentation faults (SIGSEGV) in processes loading .nex files via libbiosig (e.g., sigviewer, octave, matlab); unexpected child processes spawned from biomedical signal processing applications.
  • Logs: Application crash logs referencing sopen_extended in biosig.c or biosig-dev.h; core dump files generated by libbiosig-linked applications after processing .nex files.
  • Network: Unexpected outbound connections from biomedical data processing workstations following .nex file ingestion; file transfers of .nex files from untrusted or external sources to systems running libbiosig.

Mitigation and workarounds

The recommended remediation is to upgrade libbiosig to version 3.9.1 or later, which addresses this vulnerability. As interim mitigations, organizations should implement strict input validation and allowlisting for .nex files, disable Nex file parsing if not required, apply network segmentation to limit exposure of systems running libbiosig, and monitor for suspicious file uploads or anomalous process behavior. Nessus plugin 260417 is available for detection (Talos Advisory, Tenable Plugin).

Community reactions

Cisco Talos published the detailed technical advisory (TALOS-2025-2239) on August 25, 2025, including a proof-of-concept crash file and in-depth code analysis. The vulnerability was also covered in a Talos Intelligence blog post discussing multiple vulnerabilities across libbiosig, Tenda, SAIL, PDF-XChange, and Foxit products (Talos Blog). Community discussion was noted on Infosec Exchange and aggregated by Malware News, reflecting moderate interest given the niche but sensitive nature of the affected biomedical software ecosystem.

Additional resources


SourceThis report was generated using AI

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