CVE-2022-33214: Time-of-check time-of-use race condition in Display in Qualcomm, Inc. Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Wearables
Memory corruption in display due to time-of-check time-of-use of metadata reserved size in Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Wearables
AI Analysis
Technical Summary
CVE-2022-33214 is a high-severity vulnerability identified in multiple Qualcomm Snapdragon platforms, including Snapdragon Auto, Compute, Consumer IoT, Industrial IoT, Mobile, and Wearables. The root cause is a time-of-check to time-of-use (TOCTOU) race condition in the display subsystem. Specifically, the vulnerability arises from improper handling of metadata reserved size during display operations, leading to a memory corruption issue. This race condition occurs when the system checks the metadata size and then uses it without re-verifying, allowing an attacker to exploit the timing gap to corrupt memory. The affected platforms span a wide range of Qualcomm chipsets, from mobile processors like the Snapdragon 8 Gen1 and SD865 5G to IoT and automotive-focused chips such as QCA6390 and SA8155P. The CVSS v3.1 base score is 8.4, indicating a high severity with impacts on confidentiality, integrity, and availability. The vector string (AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H) shows that the attack requires local access but no privileges or user interaction, making it easier to exploit in environments where an attacker has local code execution. Memory corruption vulnerabilities in display drivers can lead to arbitrary code execution, privilege escalation, or denial of service, potentially allowing attackers to take control of affected devices or disrupt their operation. No known exploits in the wild have been reported yet, and no official patches were linked in the provided data, though vendors typically release updates for such critical issues. The vulnerability is classified under CWE-367 (Time-of-check Time-of-use Race Condition), a common class of race conditions that can be challenging to detect and fix due to timing dependencies.
Potential Impact
For European organizations, this vulnerability poses significant risks, especially those relying on Qualcomm Snapdragon-based devices in critical infrastructure, automotive systems, mobile endpoints, and IoT deployments. The broad range of affected chipsets means that smartphones, industrial IoT devices, automotive infotainment and control systems, and wearable devices could be compromised. Exploitation could lead to unauthorized data access, system manipulation, or service disruption. In automotive contexts, this could affect vehicle safety systems or infotainment controls, raising safety and regulatory concerns. For enterprises, compromised mobile or IoT devices could serve as entry points for lateral movement within networks, threatening confidentiality and integrity of sensitive data. The requirement for local access reduces the risk from remote attackers but does not eliminate it, as malware or malicious insiders could exploit this vulnerability. The lack of user interaction requirement further increases the risk in compromised environments. Given the widespread use of Qualcomm Snapdragon platforms across Europe, the potential impact is substantial, particularly in sectors like automotive manufacturing, telecommunications, and industrial automation.
Mitigation Recommendations
1. Immediate deployment of vendor-provided patches or firmware updates once available is critical. Organizations should monitor Qualcomm and device manufacturers for security advisories and updates related to CVE-2022-33214. 2. Implement strict access controls to limit local access to devices running vulnerable Snapdragon platforms, including enforcing strong authentication and restricting physical or network-based local access. 3. Employ endpoint detection and response (EDR) solutions capable of monitoring for suspicious activity indicative of exploitation attempts targeting display subsystems or memory corruption. 4. For automotive and industrial IoT deployments, apply network segmentation to isolate vulnerable devices and reduce the attack surface. 5. Conduct regular security audits and penetration testing focusing on local privilege escalation and memory corruption vectors to identify potential exploitation paths. 6. Educate users and administrators about the risks of local exploitation and the importance of applying updates promptly. 7. Where possible, disable or limit unnecessary display-related services or features that could be exploited. 8. Maintain an inventory of devices using affected Qualcomm chipsets to prioritize patching and mitigation efforts effectively.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Sweden, Finland, Belgium, Poland
CVE-2022-33214: Time-of-check time-of-use race condition in Display in Qualcomm, Inc. Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Wearables
Description
Memory corruption in display due to time-of-check time-of-use of metadata reserved size in Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Wearables
AI-Powered Analysis
Technical Analysis
CVE-2022-33214 is a high-severity vulnerability identified in multiple Qualcomm Snapdragon platforms, including Snapdragon Auto, Compute, Consumer IoT, Industrial IoT, Mobile, and Wearables. The root cause is a time-of-check to time-of-use (TOCTOU) race condition in the display subsystem. Specifically, the vulnerability arises from improper handling of metadata reserved size during display operations, leading to a memory corruption issue. This race condition occurs when the system checks the metadata size and then uses it without re-verifying, allowing an attacker to exploit the timing gap to corrupt memory. The affected platforms span a wide range of Qualcomm chipsets, from mobile processors like the Snapdragon 8 Gen1 and SD865 5G to IoT and automotive-focused chips such as QCA6390 and SA8155P. The CVSS v3.1 base score is 8.4, indicating a high severity with impacts on confidentiality, integrity, and availability. The vector string (AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H) shows that the attack requires local access but no privileges or user interaction, making it easier to exploit in environments where an attacker has local code execution. Memory corruption vulnerabilities in display drivers can lead to arbitrary code execution, privilege escalation, or denial of service, potentially allowing attackers to take control of affected devices or disrupt their operation. No known exploits in the wild have been reported yet, and no official patches were linked in the provided data, though vendors typically release updates for such critical issues. The vulnerability is classified under CWE-367 (Time-of-check Time-of-use Race Condition), a common class of race conditions that can be challenging to detect and fix due to timing dependencies.
Potential Impact
For European organizations, this vulnerability poses significant risks, especially those relying on Qualcomm Snapdragon-based devices in critical infrastructure, automotive systems, mobile endpoints, and IoT deployments. The broad range of affected chipsets means that smartphones, industrial IoT devices, automotive infotainment and control systems, and wearable devices could be compromised. Exploitation could lead to unauthorized data access, system manipulation, or service disruption. In automotive contexts, this could affect vehicle safety systems or infotainment controls, raising safety and regulatory concerns. For enterprises, compromised mobile or IoT devices could serve as entry points for lateral movement within networks, threatening confidentiality and integrity of sensitive data. The requirement for local access reduces the risk from remote attackers but does not eliminate it, as malware or malicious insiders could exploit this vulnerability. The lack of user interaction requirement further increases the risk in compromised environments. Given the widespread use of Qualcomm Snapdragon platforms across Europe, the potential impact is substantial, particularly in sectors like automotive manufacturing, telecommunications, and industrial automation.
Mitigation Recommendations
1. Immediate deployment of vendor-provided patches or firmware updates once available is critical. Organizations should monitor Qualcomm and device manufacturers for security advisories and updates related to CVE-2022-33214. 2. Implement strict access controls to limit local access to devices running vulnerable Snapdragon platforms, including enforcing strong authentication and restricting physical or network-based local access. 3. Employ endpoint detection and response (EDR) solutions capable of monitoring for suspicious activity indicative of exploitation attempts targeting display subsystems or memory corruption. 4. For automotive and industrial IoT deployments, apply network segmentation to isolate vulnerable devices and reduce the attack surface. 5. Conduct regular security audits and penetration testing focusing on local privilege escalation and memory corruption vectors to identify potential exploitation paths. 6. Educate users and administrators about the risks of local exploitation and the importance of applying updates promptly. 7. Where possible, disable or limit unnecessary display-related services or features that could be exploited. 8. Maintain an inventory of devices using affected Qualcomm chipsets to prioritize patching and mitigation efforts effectively.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- qualcomm
- Date Reserved
- 2022-06-14T00:00:00.000Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682cd0fb1484d88663aeca36
Added to database: 5/20/2025, 6:59:07 PM
Last enriched: 7/6/2025, 3:40:25 PM
Last updated: 2/7/2026, 5:32:38 AM
Views: 37
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Related Threats
CVE-2026-2075: Improper Access Controls in yeqifu warehouse
MediumCVE-2026-2073: SQL Injection in itsourcecode School Management System
MediumCVE-2026-25845
LowCVE-2026-25844
LowCVE-2026-25843
LowActions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
External Links
Need more coverage?
Upgrade to Pro Console in Console -> Billing for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.