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VulnerabilityPublished Updated

CVE-2025-47398: Qualcomm Snapdragon · Use After Free

Affects Qualcomm SnapdragonSource CVE Database V5

0

Not known to be exploited · CVSS 7.8 High.

Data as of 26 Oct 2026, 17:16 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 1% 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
  • AR8031 – WSA8845
57 affected builds
Fixed in–

AI-suggested

  1. Monitor Qualcomm's official channels for security advisories and promptly apply patches or firmware updates addressing CVE-2025-47398 as they become available.
  2. Restrict local access to devices running affected Snapdragon platforms by enforcing strong physical security controls and limiting administrative privileges.
  3. Employ runtime memory protection technologies such as Address Space Layout Randomization (ASLR), Control Flow Integrity (CFI), and memory-safe programming practices in custom firmware or applications interacting with GPU buffers.
  4. Implement strict input validation and error handling in software components managing GPU memory to reduce the risk of triggering the vulnerability.
  5. Use endpoint detection and response (EDR) solutions capable of identifying anomalous memory corruption behaviors indicative of exploitation attempts.
  6. For organizations deploying IoT or embedded devices with affected hardware, segment networks and apply strict access controls to minimize exposure.
  7. Conduct regular security assessments and penetration testing focusing on local privilege escalation vectors to identify potential exploitation paths.
  8. Educate users and administrators about the risks of granting local access and the importance of timely updates.

Description

Memory Corruption while deallocating graphics processing unit memory buffers due to improper handling of memory pointers.

References

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