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CVE-2023-33085VulnerabilityPublished Updated

CVE-2023-33085: 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, 06:26 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 1% 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 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 inventory and identification of devices using affected Qualcomm Snapdragon chipsets within the organization’s environment, including mobile devices, wearables, automotive systems, and IoT devices. 2. Apply vendor-supplied patches or firmware updates as soon as they become available from Qualcomm or device manufacturers. 3. Implement strict access controls to limit local access to devices, reducing the risk of local privilege exploitation. 4. Employ endpoint detection and response (EDR) solutions capable of monitoring for anomalous memory corruption or exploitation behaviors on affected devices. 5. For automotive and industrial IoT deployments, enforce network segmentation to isolate vulnerable devices from critical infrastructure. 6. Educate users and administrators about the risks of local exploitation and the importance of device security hygiene. 7. Monitor threat intelligence feeds for emerging exploit code or attack campaigns targeting this vulnerability. 8. Where possible, disable or restrict Always-On Network (AON) features if they are not essential, to reduce the attack surface. 9. Collaborate with device vendors and Qualcomm representatives to obtain timely updates and guidance. 10. Conduct penetration testing and vulnerability assessments focusing on local privilege escalation vectors on affected devices to identify potential exploitation paths.

Description

Memory corruption in wearables while processing data from AON.

References

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