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CVE-2025-21455VulnerabilityPublished Updated

CVE-2025-21455: 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 25 Oct 2026, 19:02 UTC

CVSS 3.1 base score
7.8High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.07% 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 2026-10-25.

What to do

AI-suggested

To mitigate CVE-2025-21455 effectively, organizations and device manufacturers should: 1) Monitor Qualcomm and OEM advisories closely for official patches and firmware updates addressing this vulnerability and apply them promptly. 2) Restrict access to IOCTL interfaces and kernel-level communication channels to trusted processes and users only, minimizing the attack surface. 3) Employ runtime protections such as kernel address space layout randomization (KASLR) and memory protection mechanisms to reduce exploitation success. 4) Implement strict privilege separation and minimize the use of privileged accounts on affected devices. 5) Conduct thorough security audits and testing on custom firmware or software interacting with Qualcomm components to detect similar race conditions. 6) For organizations deploying large fleets of devices, consider network segmentation and endpoint detection solutions to identify anomalous behavior indicative of exploitation attempts. 7) Educate users and administrators about the risks of local privilege escalation vulnerabilities and enforce policies to prevent unauthorized physical or local access. These steps go beyond generic patching advice by focusing on access control, runtime defenses, and proactive detection to reduce exploitation likelihood before patches are available or fully deployed.

Description

Memory corruption while submitting blob data to kernel space though IOCTL.

References

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