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CVE-2025-27043VulnerabilityPublished

CVE-2025-27043: 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, 07:57 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 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

1. Immediate inventory and identification of all devices and systems utilizing affected Qualcomm Snapdragon platforms within the organization. 2. Monitor Qualcomm and device vendors for official patches or firmware updates addressing CVE-2025-27043 and prioritize their deployment as soon as they become available. 3. Implement strict access controls and network segmentation to limit local access to vulnerable devices, reducing the attack surface. 4. Employ runtime protection mechanisms such as memory protection, exploit mitigation technologies (e.g., DEP, ASLR), and intrusion detection systems tailored to detect anomalous behavior in video firmware processing. 5. For automotive and IoT deployments, ensure secure update mechanisms are in place to facilitate timely patching and verify firmware integrity. 6. Conduct targeted penetration testing and vulnerability assessments focusing on Qualcomm-based devices to identify potential exploitation attempts. 7. Educate relevant personnel about the risks associated with this vulnerability and enforce policies to minimize exposure, including restricting installation of untrusted applications or payloads that could trigger the flaw. 8. Maintain comprehensive logging and monitoring to detect suspicious activities indicative of exploitation attempts related to video firmware processing.

Description

Memory corruption while processing manipulated payload in video firmware.

References

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