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    MedTech Cybersecurity · Since 2022

    Goat Feed · KEV

    CISA KEV: Linux Kernel CVE-2025-39964 (CVSS 3.1 7.8 HIGH) - Kernel Race Condition Vulnerability

    In the Linux kernel, the following vulnerability has been resolved: crypto: af_alg - Disallow concurrent writes in af_alg_sendmsg Issuing two writes to the same af_alg socket is bogus as the data will be interleaved in an unpredictable fashion. Furthermore, concurrent writes may create inconsistencies in the internal socket state. Disallow this by adding a new ctx->write field that indiciates exclusive ownership for writing.

    Back to the daily feed
    KEV
    criticalPublished September 26, 2026 at 7:48 PM UTC
    Blue Goat take· Blue Goat Cyber Research

    This race condition allows local attackers to corrupt kernel memory via cryptographic sub-processes, turning a standard logic flaw into a potential privilege escalation. Manufacturers of imaging systems and patient monitors running embedded Linux are most exposed, especially where local user access is permitted. Security leads must verify kernel patch levels and prioritize this update to meet the FDA postmarket requirements.

    Blue Goat Risk Score

    Blue Goat Cyber MedTech rubric v1.0 · methodology

    6.9
    of 10
    notable
    CVSS technical
    40% · +3.1

    3.1 base 7.8 · CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

    Patient safety
    35% · +1.8

    Delay of care

    Exploit maturity
    15% · +1.5

    On CISA KEV (in-the-wild)

    MedTech exposure
    10% · +0.5

    5/10 network-reachable signals

    How we got to 6.9

    1. 1
      CVSS technical severity (40%)

      Industry-standard exploitability + impact score. We prefer CVSS 4.0 and fall back to 3.1 per the FDA's Feb 2026 premarket cybersecurity guidance. Missing CVSS scores get a neutral 4.0 so unknown vulns are not over- or under-rated.

      3.1 base 7.8 × 40% = +3.12
    2. 2
      Patient safety impact (35%)

      What happens to a patient if this vuln is exploited on a connected device. Auto-inferred from headline, dek, tags, and device class against a curated MedTech keyword library (pacemaker, infusion pump, EHR, PACS, etc.).

      Delay of care → 5 × 35% = +1.75
    3. 3
      Exploit maturity (15%)

      Is anyone actually using this in attacks? KEV listing > weaponized exploit > public PoC > none. KEV alone forces tier=critical regardless of CVSS.

      On CISA KEV (in-the-wild) → 10 × 15% = +1.50
    4. 4
      MedTech exposure (10%)

      How likely this affects clinical operations: presence in our MedTech feed (+4 baseline), network-reachable signals (+3), known device-class tags (+2), identified MedTech vendor (+1).

      Exposure 5/10 × 10% = +0.50

    Tier cutoffs: Critical ≥ 8.5 · High 7.0–8.4 · Notable 4.0–6.9 · Info < 4.0. Full methodology, weights, and changelog at /goatfeed/risk-rubric.

    Citations
    • CISA Known Exploited Vulnerabilities
    • Methodology and sources →
    #kev#cve#linux
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