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VulnerabilityPublished

CVE-2025-27076: Qualcomm Snapdragon · Time-of-check Time-of-use (TOCTOU) Race Condition

Affects Qualcomm SnapdragonSource CVE Database V5

0

Not known to be exploited · CVSS 7.8 High.

Data as of 26 Oct 2026, 12:29 UTC

CVSS 3.1 base score
7.8High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.06% chance of exploitation in 30 days – higher than 0% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 6 Aug 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq 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

AI-suggested

  1. Monitor Qualcomm and device vendor advisories closely for official patches or firmware updates addressing CVE-2025-27076 and apply them promptly.
  2. Implement strict access controls and endpoint protection to limit local privilege escalation opportunities, including restricting untrusted applications and enforcing least privilege principles.
  3. Employ runtime application self-protection (RASP) and behavior-based anomaly detection on devices to identify suspicious memory corruption or race condition exploitation attempts.
  4. For enterprise environments, enforce device compliance policies that restrict use of vulnerable Snapdragon-based devices until patched.
  5. Use virtualization or containerization where possible to isolate critical applications from potentially compromised hardware components.
  6. Conduct thorough security audits and penetration testing focusing on race condition vulnerabilities in device firmware and drivers.
  7. Educate users and administrators about the risks of local exploitation and encourage reporting of unusual device behavior.
  8. For IoT deployments, segment networks to limit lateral movement if a device is compromised.
  9. Collaborate with device manufacturers to prioritize vulnerability remediation and request transparency on patch timelines.
  10. Maintain up-to-date backups and incident response plans to mitigate potential damage from exploitation.

Description

Memory corruption while processing simultaneous requests via escape path.

References

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