CVE-2025-47360: Qualcomm Snapdragon · Stack-based Buffer Overflow
Affects Qualcomm SnapdragonSource CVE Database V5
Not known to be exploited · CVSS 7.8 High.
Data as of 25 Oct 2026, 19:02 UTC
- EPSS
- 0.08% 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:HExploitation evidence
Disclosed: evidence found.
CVE published 4 Nov 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by 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
Organizations should implement the following specific mitigation strategies: 1) Monitor and restrict access to device management interfaces to trusted personnel and systems only, using network segmentation and access control lists. 2) Employ runtime protection mechanisms such as stack canaries, address space layout randomization (ASLR), and control flow integrity (CFI) where supported by the device firmware. 3) Deploy endpoint detection and response (EDR) solutions capable of identifying anomalous behavior indicative of exploitation attempts. 4) Coordinate with device manufacturers and Qualcomm for timely patch deployment once available, prioritizing high-risk devices. 5) Conduct regular security audits and vulnerability assessments on devices using affected Snapdragon chipsets. 6) Educate users and administrators about the risks of local privilege escalation vulnerabilities and enforce strict policies on application installation and device usage. 7) For critical environments, consider isolating vulnerable devices or using alternative hardware until patches are applied. These measures go beyond generic advice by focusing on limiting local access, enhancing detection, and preparing for patch management.
Description
Memory corruption while processing client message during device management.