CVE-2025-27048: CWE-822 Untrusted Pointer Dereference in Qualcomm, Inc. Snapdragon
Memory corruption while processing camera platform driver IOCTL calls.
AI Analysis
Technical Summary
CVE-2025-27048 is a vulnerability classified under CWE-822 (Untrusted Pointer Dereference) found in Qualcomm Snapdragon components, specifically in the camera platform driver when processing IOCTL calls. The flaw arises from improper handling of pointers passed to the driver, which can lead to memory corruption. This memory corruption can be exploited by a local attacker with limited privileges (PR:L) without requiring user interaction (UI:N), enabling them to compromise confidentiality, integrity, and availability of the affected device. The vulnerability affects a broad range of Qualcomm products including FastConnect 6900 and 7800, QCC2072, SC8380XP, multiple WCD and WSA series chips, and several X-series components. The CVSS v3.1 base score is 7.8, indicating high severity, with attack vector local, low attack complexity, and high impact on all three security properties. The vulnerability was reserved in February 2025 and published in October 2025. No public exploits are known yet, but the nature of the flaw suggests potential for privilege escalation or denial of service on affected devices. The vulnerability is particularly concerning for mobile phones, IoT devices, and embedded systems using these Snapdragon components, as the camera driver is a critical subsystem. The lack of user interaction requirement and low complexity make it a significant risk if local access is obtained.
Potential Impact
The impact of CVE-2025-27048 is substantial for organizations worldwide using devices powered by affected Qualcomm Snapdragon components. Successful exploitation can lead to memory corruption that compromises device confidentiality, integrity, and availability. This could enable attackers to escalate privileges, execute arbitrary code within the kernel or driver context, or cause denial of service by crashing the camera driver or the entire device. For enterprises relying on mobile devices for sensitive communications, this vulnerability could expose confidential data or disrupt critical operations. IoT deployments using these chips could face operational outages or be leveraged as entry points for lateral movement within networks. The local attack vector limits remote exploitation but does not eliminate risk, as attackers with physical or local access (e.g., malicious apps, insiders) can exploit the flaw. The broad range of affected Snapdragon components means a wide variety of devices, including smartphones, tablets, and embedded systems, are at risk, amplifying the global impact.
Mitigation Recommendations
To mitigate CVE-2025-27048, organizations should: 1) Monitor Qualcomm and device vendors for official patches and apply them promptly once available. 2) Restrict local access to camera driver IOCTL interfaces by enforcing strict access controls and permissions, limiting which processes or users can interact with these drivers. 3) Employ application whitelisting and endpoint protection to prevent installation or execution of unauthorized local code that could exploit the vulnerability. 4) Monitor device logs and behavior for anomalies indicative of attempts to exploit camera driver interfaces. 5) For managed devices, implement Mobile Device Management (MDM) policies that restrict installation of untrusted applications and enforce least privilege principles. 6) Educate users about the risks of installing untrusted apps or granting excessive permissions that could enable local exploitation. 7) In high-security environments, consider disabling or limiting camera functionality if not required, reducing the attack surface. 8) Conduct regular security assessments and penetration tests focusing on local privilege escalation vectors to detect similar vulnerabilities.
Affected Countries
United States, China, India, South Korea, Japan, Germany, United Kingdom, France, Brazil, Russia, Canada, Australia, Mexico
CVE-2025-27048: CWE-822 Untrusted Pointer Dereference in Qualcomm, Inc. Snapdragon
Description
Memory corruption while processing camera platform driver IOCTL calls.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-27048 is a vulnerability classified under CWE-822 (Untrusted Pointer Dereference) found in Qualcomm Snapdragon components, specifically in the camera platform driver when processing IOCTL calls. The flaw arises from improper handling of pointers passed to the driver, which can lead to memory corruption. This memory corruption can be exploited by a local attacker with limited privileges (PR:L) without requiring user interaction (UI:N), enabling them to compromise confidentiality, integrity, and availability of the affected device. The vulnerability affects a broad range of Qualcomm products including FastConnect 6900 and 7800, QCC2072, SC8380XP, multiple WCD and WSA series chips, and several X-series components. The CVSS v3.1 base score is 7.8, indicating high severity, with attack vector local, low attack complexity, and high impact on all three security properties. The vulnerability was reserved in February 2025 and published in October 2025. No public exploits are known yet, but the nature of the flaw suggests potential for privilege escalation or denial of service on affected devices. The vulnerability is particularly concerning for mobile phones, IoT devices, and embedded systems using these Snapdragon components, as the camera driver is a critical subsystem. The lack of user interaction requirement and low complexity make it a significant risk if local access is obtained.
Potential Impact
The impact of CVE-2025-27048 is substantial for organizations worldwide using devices powered by affected Qualcomm Snapdragon components. Successful exploitation can lead to memory corruption that compromises device confidentiality, integrity, and availability. This could enable attackers to escalate privileges, execute arbitrary code within the kernel or driver context, or cause denial of service by crashing the camera driver or the entire device. For enterprises relying on mobile devices for sensitive communications, this vulnerability could expose confidential data or disrupt critical operations. IoT deployments using these chips could face operational outages or be leveraged as entry points for lateral movement within networks. The local attack vector limits remote exploitation but does not eliminate risk, as attackers with physical or local access (e.g., malicious apps, insiders) can exploit the flaw. The broad range of affected Snapdragon components means a wide variety of devices, including smartphones, tablets, and embedded systems, are at risk, amplifying the global impact.
Mitigation Recommendations
To mitigate CVE-2025-27048, organizations should: 1) Monitor Qualcomm and device vendors for official patches and apply them promptly once available. 2) Restrict local access to camera driver IOCTL interfaces by enforcing strict access controls and permissions, limiting which processes or users can interact with these drivers. 3) Employ application whitelisting and endpoint protection to prevent installation or execution of unauthorized local code that could exploit the vulnerability. 4) Monitor device logs and behavior for anomalies indicative of attempts to exploit camera driver interfaces. 5) For managed devices, implement Mobile Device Management (MDM) policies that restrict installation of untrusted applications and enforce least privilege principles. 6) Educate users about the risks of installing untrusted apps or granting excessive permissions that could enable local exploitation. 7) In high-security environments, consider disabling or limiting camera functionality if not required, reducing the attack surface. 8) Conduct regular security assessments and penetration tests focusing on local privilege escalation vectors to detect similar vulnerabilities.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- qualcomm
- Date Reserved
- 2025-02-18T09:19:46.884Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 68e72afb32de7eb26af88b7b
Added to database: 10/9/2025, 3:24:43 AM
Last enriched: 2/27/2026, 1:22:24 AM
Last updated: 3/28/2026, 9:10:55 AM
Views: 47
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