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VulnerabilityPublished Updated

CVE-2025-47399: Qualcomm Snapdragon · Classic Buffer Overflow

Affects Qualcomm SnapdragonSource CVE Database V5

0

Not known to be exploited · CVSS 7.8 High.

Data as of 26 Oct 2026, 09:15 UTC

CVSS 3.1 base score
7.8High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.1% 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 2 Feb 2026

  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

Affected software

ProductAffectedFixed in
Qualcomm, Inc.SnapdragonAffected
  • =WSA8840
  • =WSA8845
Fixed in–

AI-suggested

To mitigate CVE-2025-47399, organizations and device users should: 1) Monitor Qualcomm and device vendor advisories closely and apply firmware or software patches promptly once available. 2) Restrict local access to devices by enforcing strong device lock policies, disabling unnecessary debug interfaces, and limiting physical access. 3) Employ application whitelisting and privilege restrictions to reduce the risk of malicious code gaining local access. 4) Implement runtime protections such as stack canaries, address space layout randomization (ASLR), and control-flow integrity (CFI) where supported by the device firmware. 5) Conduct security audits of custom drivers or software interacting with sensor IOCTL interfaces to ensure proper input validation. 6) Educate users about the risks of installing untrusted applications that might facilitate local access. 7) For enterprises, consider network segmentation and endpoint detection to identify anomalous behavior indicative of exploitation attempts. These steps go beyond generic advice by focusing on limiting local access vectors and enhancing runtime defenses specific to the nature of this vulnerability.

Description

Memory Corruption while processing IOCTL call to update sensor property settings with invalid input parameters.

References

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