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CVE-2023-33030VulnerabilityPublished Updated

CVE-2023-33030: Qualcomm Snapdragon · Classic Buffer Overflow

Affects Qualcomm SnapdragonSource CVE Database V5

0

Not known to be exploited · CVSS 9.3 Critical.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 3.1 base score
9.3Critical
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:N/UI:N/S:C/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 2 Jan 2024

  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 device and platform inventory: Organizations should identify all devices and systems using affected Qualcomm Snapdragon platforms, including mobile devices, IoT endpoints, automotive systems, and networking equipment. 2. Monitor vendor advisories: Continuously track Qualcomm and OEM security bulletins for patches or firmware updates addressing CVE-2023-33030. 3. Apply patches promptly: Once available, deploy security updates to all affected devices as a priority to remediate the vulnerability. 4. Restrict local access: Implement strict access controls to limit the installation and execution of untrusted applications or code on devices, reducing the risk of local exploitation. 5. Use mobile device management (MDM) solutions: Enforce security policies, application whitelisting, and remote wipe capabilities to manage and secure mobile endpoints. 6. Network segmentation: Isolate critical systems and IoT devices to contain potential compromises and limit lateral movement. 7. Enhance monitoring and detection: Deploy endpoint detection and response (EDR) tools capable of identifying anomalous behaviors indicative of exploitation attempts, such as unusual memory access patterns or process anomalies. 8. Educate users: Train employees on the risks of installing untrusted applications and the importance of device security hygiene. 9. For DRM-dependent services: Review and monitor media applications relying on PlayReady for signs of disruption or unauthorized access. 10. Collaborate with vendors: Engage with device manufacturers and service providers to ensure timely updates and coordinated vulnerability management.

Description

Memory corruption in HLOS while running playready use-case.

References

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