CVE-2025-52581: The Biosig Project libbiosig · Integer Overflow or Wraparound
Affects The Biosig Project libbiosigSource CVE Database V5
Not known to be exploited · CVSS 9.8 Critical.
Data as of 26 Oct 2026, 10:12 UTC
- EPSS
- 0.6% chance of exploitation in 30 days – higher than 52% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HExploitation evidence
Disclosed: evidence found.
CVE published 25 Aug 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| The Biosig Project libbiosig | Affected
| Fixed in– |
AI-suggested
To mitigate CVE-2025-52581, European organizations should immediately audit their use of libbiosig, identifying all systems and applications that process GDF files. Until an official patch is released, organizations should implement strict input validation and sanitization controls on GDF files, rejecting or quarantining any files that do not conform to expected size and format constraints. Employ sandboxing or isolated environments for processing untrusted GDF files to contain potential exploitation. Monitor file ingestion points for anomalous or unexpected GDF file submissions, and deploy network-level controls to restrict access to services that process these files from untrusted sources. Engage with The Biosig Project community or maintainers to track patch releases and apply updates promptly once available. Additionally, consider employing runtime application self-protection (RASP) or memory protection technologies such as Address Space Layout Randomization (ASLR) and Data Execution Prevention (DEP) to reduce exploitation success. Finally, raise awareness among developers and security teams about the risks of integer overflow in parsing libraries and encourage secure coding practices for handling biomedical data formats.
Description
An integer overflow vulnerability exists in the GDF parsing functionality of The Biosig Project libbiosig 3.9.0 and Master Branch (35a819fa). A specially crafted GDF file can lead to arbitrary code execution. An attacker can provide a malicious file to trigger this vulnerability.