CVE-2025-47353: CWE-749: Exposed Dangerous Method or Function in Qualcomm, Inc. Snapdragon
Memory corruption while processing request sent from GVM.
AI Analysis
Technical Summary
CVE-2025-47353 is a memory corruption vulnerability identified in Qualcomm Snapdragon chipsets, specifically triggered when processing requests sent from the GVM (likely a privileged component or service). The root cause is classified under CWE-749, indicating an exposed dangerous method or function that can be invoked inappropriately, leading to unsafe memory operations. This vulnerability affects 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 base score is 7.8, reflecting high severity with attack vector Local (AV:L), low attack complexity (AC:L), requiring low privileges (PR:L), no user interaction (UI:N), and impacting confidentiality, integrity, and availability (C:H/I:H/A:H). The vulnerability allows an attacker with local access and limited privileges to exploit the exposed function to corrupt memory, potentially leading to privilege escalation, arbitrary code execution, or denial of service. No public exploits or patches are currently available, indicating the need for proactive defensive measures. The vulnerability's presence in widely deployed Snapdragon chipsets used in smartphones, IoT devices, and embedded systems raises concerns about broad impact.
Potential Impact
The vulnerability poses a significant risk to organizations globally that use devices powered by affected Qualcomm Snapdragon chipsets. Successful exploitation can lead to full compromise of device confidentiality, integrity, and availability, enabling attackers to execute arbitrary code, escalate privileges, or cause system crashes. This can affect mobile devices, embedded systems, and IoT devices, potentially disrupting business operations, leaking sensitive data, or enabling further lateral movement within networks. Industries relying heavily on Snapdragon-powered devices, such as telecommunications, healthcare, automotive, and critical infrastructure, face heightened risks. The local attack vector limits remote exploitation but does not eliminate risk in environments where attackers can gain local access, such as through malicious apps, insider threats, or compromised endpoints. The absence of known exploits in the wild provides a window for mitigation but also suggests attackers may be developing techniques to leverage this flaw.
Mitigation Recommendations
1. Restrict local access to devices with affected Snapdragon chipsets by enforcing strict access controls and device usage policies. 2. Monitor devices for unusual behavior or signs of memory corruption and privilege escalation attempts, using endpoint detection and response (EDR) tools tailored for mobile and embedded platforms. 3. Disable or restrict the GVM component or related services if feasible, or apply configuration hardening to limit exposure of dangerous methods. 4. Implement application whitelisting and restrict installation of untrusted or unsigned applications to reduce risk of local exploitation. 5. Stay informed on Qualcomm security advisories and apply patches promptly once available. 6. For organizations deploying Snapdragon-based IoT or embedded devices, ensure secure boot and firmware integrity checks are enabled to prevent persistent compromise. 7. Conduct security awareness training emphasizing risks of local device compromise and insider threats. 8. Collaborate with device vendors and mobile operators to accelerate patch deployment and vulnerability management.
Affected Countries
United States, China, India, South Korea, Japan, Germany, United Kingdom, France, Brazil, Russia, Canada, Australia, Mexico, Indonesia, Vietnam
CVE-2025-47353: CWE-749: Exposed Dangerous Method or Function in Qualcomm, Inc. Snapdragon
Description
Memory corruption while processing request sent from GVM.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-47353 is a memory corruption vulnerability identified in Qualcomm Snapdragon chipsets, specifically triggered when processing requests sent from the GVM (likely a privileged component or service). The root cause is classified under CWE-749, indicating an exposed dangerous method or function that can be invoked inappropriately, leading to unsafe memory operations. This vulnerability affects 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 base score is 7.8, reflecting high severity with attack vector Local (AV:L), low attack complexity (AC:L), requiring low privileges (PR:L), no user interaction (UI:N), and impacting confidentiality, integrity, and availability (C:H/I:H/A:H). The vulnerability allows an attacker with local access and limited privileges to exploit the exposed function to corrupt memory, potentially leading to privilege escalation, arbitrary code execution, or denial of service. No public exploits or patches are currently available, indicating the need for proactive defensive measures. The vulnerability's presence in widely deployed Snapdragon chipsets used in smartphones, IoT devices, and embedded systems raises concerns about broad impact.
Potential Impact
The vulnerability poses a significant risk to organizations globally that use devices powered by affected Qualcomm Snapdragon chipsets. Successful exploitation can lead to full compromise of device confidentiality, integrity, and availability, enabling attackers to execute arbitrary code, escalate privileges, or cause system crashes. This can affect mobile devices, embedded systems, and IoT devices, potentially disrupting business operations, leaking sensitive data, or enabling further lateral movement within networks. Industries relying heavily on Snapdragon-powered devices, such as telecommunications, healthcare, automotive, and critical infrastructure, face heightened risks. The local attack vector limits remote exploitation but does not eliminate risk in environments where attackers can gain local access, such as through malicious apps, insider threats, or compromised endpoints. The absence of known exploits in the wild provides a window for mitigation but also suggests attackers may be developing techniques to leverage this flaw.
Mitigation Recommendations
1. Restrict local access to devices with affected Snapdragon chipsets by enforcing strict access controls and device usage policies. 2. Monitor devices for unusual behavior or signs of memory corruption and privilege escalation attempts, using endpoint detection and response (EDR) tools tailored for mobile and embedded platforms. 3. Disable or restrict the GVM component or related services if feasible, or apply configuration hardening to limit exposure of dangerous methods. 4. Implement application whitelisting and restrict installation of untrusted or unsigned applications to reduce risk of local exploitation. 5. Stay informed on Qualcomm security advisories and apply patches promptly once available. 6. For organizations deploying Snapdragon-based IoT or embedded devices, ensure secure boot and firmware integrity checks are enabled to prevent persistent compromise. 7. Conduct security awareness training emphasizing risks of local device compromise and insider threats. 8. Collaborate with device vendors and mobile operators to accelerate patch deployment and vulnerability management.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- qualcomm
- Date Reserved
- 2025-05-06T08:33:16.264Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 690977bf78d4f574c2b12d36
Added to database: 11/4/2025, 3:49:19 AM
Last enriched: 2/27/2026, 2:43:45 AM
Last updated: 3/24/2026, 8:29:47 AM
Views: 57
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.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
External Links
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.