CVE-2025-47353 is a vulnerability classified under CWE-749 (Exposed Dangerous Method or Function) affecting Qualcomm Snapdragon chipsets. The flaw arises from memory corruption triggered when processing requests sent from the GVM (likely a privileged or internal management interface). The vulnerability impacts a broad range of Snapdragon versions, including QAM8255P, QAM8650P, QAM8775P, QAMSRV1H, QAMSRV1M, QCA6595, QCA6698AQ, QCA6797AQ, SA7255P, SA7775P, SA8255P, SA8620P, SA8650P, SA8770P, SA8775P, SA9000P, SRV1H, and SRV1M. The CVSS 3.1 score is 7.8, indicating high severity, with an attack vector of local access (AV:L), low attack complexity (AC:L), requiring low privileges (PR:L), no user interaction (UI:N), and impacts on confidentiality, integrity, and availability (C:H/I:H/A:H). This means an attacker with local access and limited privileges can exploit the vulnerability to cause memory corruption, potentially leading to privilege escalation, arbitrary code execution, or denial of service. The exposed dangerous method or function suggests insufficient access control or validation when handling requests from GVM, which could be an internal management or virtualization component. No patches or exploits are currently publicly available, but the vulnerability is published and should be addressed promptly. The broad range of affected Snapdragon versions indicates a systemic issue in the chipset firmware or software stack. The vulnerability's exploitation requires local access, which may be achieved via compromised applications or insider threats. The absence of user interaction lowers the barrier for exploitation once local access is obtained.

For European organizations, the impact of CVE-2025-47353 is significant due to the widespread use of Qualcomm Snapdragon chipsets in mobile devices, embedded systems, and IoT devices. Exploitation could lead to unauthorized access to sensitive data, disruption of critical services, or full device compromise. This is particularly concerning for sectors relying on mobile communications, such as finance, healthcare, and government, where confidentiality and integrity are paramount. The memory corruption can be leveraged to escalate privileges locally, bypass security controls, or execute arbitrary code, potentially allowing attackers to implant persistent malware or disrupt device functionality. Given the local attack vector, organizations with lax endpoint security or unmanaged devices are at higher risk. The lack of known exploits in the wild provides a window for proactive mitigation, but the high severity score underscores the urgency. Failure to address this vulnerability could result in data breaches, operational downtime, and reputational damage. Additionally, embedded systems in industrial or critical infrastructure using affected Snapdragon chipsets may face safety and availability risks.

1. Coordinate with device manufacturers and Qualcomm to obtain and deploy firmware or software patches as soon as they become available. 2. Implement strict access controls on devices using affected Snapdragon chipsets to limit local access to trusted users and processes only. 3. Employ endpoint detection and response (EDR) solutions capable of monitoring for unusual local privilege escalation attempts or memory corruption indicators. 4. Harden device configurations by disabling unnecessary services or interfaces that could provide local access to the vulnerable GVM processing function. 5. Conduct regular security audits and vulnerability assessments on mobile and embedded devices to identify potential exploitation attempts. 6. Educate users and administrators about the risks of installing untrusted applications that could facilitate local access exploitation. 7. Use mobile device management (MDM) solutions to enforce security policies and promptly apply updates across organizational devices. 8. Monitor threat intelligence feeds for any emerging exploit code or attack campaigns targeting this vulnerability to enable rapid response. 9. For critical infrastructure or industrial environments, consider network segmentation to isolate vulnerable devices and limit lateral movement. 10. Prepare incident response plans specifically addressing potential exploitation scenarios involving Snapdragon chipset vulnerabilities.