CVE-2020-3674 in Snapdragon Auto
Summary
by MITRE
u'Information can leak into userspace due to improper transfer of data from kernel to userspace' in Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables in Nicobar, QCS405, Saipan, SC8180X, SDX55, SM8150, SM8250, SXR2130
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Analysis
by VulDB Data Team • 09/09/2020
This vulnerability represents a critical kernel-to-userspace data transfer flaw that enables unauthorized information disclosure across multiple Qualcomm Snapdragon processor architectures. The issue stems from improper handling of data movement between privileged kernel space and unprivileged userspace environments, creating a pathway for sensitive information to leak from kernel memory regions into user-accessible areas. Such information leakage can include cryptographic keys, system credentials, memory contents, or other confidential data that should remain isolated within the kernel domain. The vulnerability affects a broad range of Snapdragon products including automotive systems, mobile devices, IoT deployments, and wearable technology platforms, indicating a fundamental flaw in the memory management and data transfer mechanisms across Qualcomm's product portfolio.
The technical implementation of this vulnerability involves kernel routines that fail to properly validate or sanitize data before transferring it to userspace through system calls, device drivers, or memory mapping interfaces. When kernel modules handle data structures containing sensitive information and subsequently expose this data to userspace through improper data transfer mechanisms, attackers can potentially extract this information through various exploitation techniques. This flaw operates at the boundary between kernel and userspace execution contexts, where the security boundaries are compromised due to inadequate data validation and transfer controls. The vulnerability is particularly concerning because it affects multiple generations of Snapdragon processors and various product lines, suggesting a systemic issue in the underlying kernel memory management and data transfer protocols rather than a localized bug in specific components.
The operational impact of this vulnerability extends across multiple threat vectors and attack surfaces within the affected systems. Attackers can leverage this information leak to conduct advanced persistent threats, perform credential harvesting, extract encryption keys, or gather system intelligence that could enable further exploitation. The implications are particularly severe for automotive systems and industrial IoT deployments where system integrity and security are paramount. This vulnerability can enable privilege escalation attacks, facilitate malware persistence, and create opportunities for advanced adversaries to gain deeper system access. The widespread affected product list indicates that organizations deploying these Snapdragon-based systems face significant security risks across their entire device ecosystem, potentially affecting millions of devices in the field. The vulnerability aligns with CWE-215, which addresses information exposure in kernel contexts, and represents a clear violation of the principle of least privilege and kernel isolation.
Mitigation strategies for this vulnerability require comprehensive system-level interventions including kernel updates, memory protection enhancements, and runtime monitoring solutions. Organizations should implement immediate patch management procedures to address the affected Snapdragon processor families and ensure all devices receive security updates from manufacturers. System administrators should deploy enhanced memory protection mechanisms, implement strict access controls, and establish monitoring protocols to detect potential exploitation attempts. The remediation process must include verification of kernel memory management routines, validation of data transfer mechanisms, and implementation of proper input sanitization procedures. Security teams should also consider deploying behavioral analysis tools to monitor for anomalous data access patterns that might indicate exploitation attempts. This vulnerability highlights the critical importance of maintaining secure kernel-to-userspace data transfer protocols and demonstrates the necessity of thorough security testing of memory management components in embedded systems. The remediation approach should align with industry best practices for kernel security and incorporate defensive programming techniques to prevent similar issues in future implementations.