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VulnerabilityPublished

CVE-2025-21464: Qualcomm Snapdragon · Out-of-bounds Read

Affects Qualcomm SnapdragonSource CVE Database V5

0

Not known to be exploited · CVSS 6.5 Medium.

Data as of 26 Oct 2026, 12:29 UTC

CVSS 3.1 base score
6.5Medium
How severe the flaw is on the 0–10 CVSS scale.
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:C/C:H/I:N/A:N

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

2) Employ strict device management policies to limit local access to trusted users and processes, reducing the risk of exploitation by low-privilege attackers. 3) Implement runtime protections such as memory protection mechanisms and exploit mitigation technologies (e.g., DEP, ASLR) on affected devices where feasible. 4) For automotive and IoT deployments, enforce network segmentation and strong authentication to limit exposure of vulnerable devices. 5) Conduct thorough inventory and risk assessments to identify all devices using affected Snapdragon components and prioritize them for monitoring and patching. 6) Use endpoint detection and response (EDR) tools to detect anomalous local access patterns that might indicate exploitation attempts. 7) Educate users and administrators about the risks of local privilege misuse and enforce least privilege principles. 8) Collaborate with device manufacturers and suppliers to ensure timely updates and vulnerability disclosures.

Description

Information disclosure while reading data from an image using specified offset and size parameters.

References

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