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CVE-2025-21427VulnerabilityPublished

CVE-2025-21427: Qualcomm Snapdragon · Buffer Over-read

Affects Qualcomm SnapdragonSource CVE Database V5

0

Not known to be exploited · CVSS 8.2 High.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 3.1 base score
8.2High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 15% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:L

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 8 Jul 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 2026-10-26.

What to do

AI-suggested

Given the lack of currently available patches, European organizations should implement the following specific mitigations: 1) Inventory and identify all devices using affected Qualcomm Snapdragon platforms, including mobile devices, embedded systems, and automotive components. 2) Prioritize firmware and software updates from device manufacturers and Qualcomm as soon as patches become available, ensuring rapid deployment especially in critical systems. 3) Employ network-level RTP traffic inspection and filtering to detect and block malformed or suspicious RTP packets that could trigger the vulnerability. 4) Use endpoint security solutions capable of monitoring anomalous RTP decoding behavior or memory access violations on affected devices. 5) For enterprise VoIP and video conferencing infrastructure, consider isolating RTP streams within secure, segmented networks to reduce exposure. 6) Educate users about the risks of connecting to untrusted networks where malicious RTP packets could be injected. 7) Collaborate with vendors to obtain timely security advisories and firmware updates. 8) For automotive and IoT deployments, implement network segmentation and strict access controls to limit exposure of vulnerable devices to external networks. These measures go beyond generic advice by focusing on proactive device identification, network traffic controls, and vendor coordination tailored to the specific nature of this RTP decoding vulnerability.

Description

Information disclosure while decoding this RTP packet Payload when UE receives the RTP packet from the network.

References

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