CVE-2022-25665 in Snapdragon Autoinfo

Summary

by MITRE • 10/19/2022

Information disclosure due to buffer over read in kernel in Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Mobile

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Analysis

by VulDB Data Team • 05/06/2026

The vulnerability identified as CVE-2022-25665 represents a critical information disclosure flaw within the kernel components of several Qualcomm Snapdragon product lines including automotive, compute, consumer iot, and mobile devices. This vulnerability stems from a buffer overread condition that occurs when the kernel processes certain data structures, potentially exposing sensitive information to unauthorized parties. The flaw affects multiple hardware platforms and operating system configurations, making it particularly concerning for widespread deployment scenarios.

The technical implementation of this vulnerability involves improper bounds checking within kernel memory management routines where the system reads data beyond the allocated buffer boundaries. This overread condition typically occurs when input validation fails to properly verify the size or content of data structures before processing them. The buffer overread allows attackers to access adjacent memory locations that may contain sensitive data such as cryptographic keys, user credentials, system configuration details, or other confidential information. This type of vulnerability falls under the CWE-121 category of stack-based buffer overflow, though the specific implementation details suggest a more generalized buffer overread pattern that can occur in various kernel memory operations.

The operational impact of CVE-2022-25665 extends across multiple attack vectors and threat scenarios. Attackers could leverage this vulnerability to extract sensitive information from device memory, potentially compromising user privacy and system security. The vulnerability's presence in automotive platforms raises concerns about vehicle security and the potential for remote exploitation of connected car systems. Mobile and consumer iot devices are also at risk, as the information disclosure could lead to credential theft, device fingerprinting, or escalation of privileges. The attack surface is particularly broad due to the widespread deployment of Snapdragon processors across various device categories and operating systems, including android, linux, and other embedded platforms.

Mitigation strategies for this vulnerability require immediate attention from device manufacturers and system administrators. The most effective approach involves applying the latest security patches provided by Qualcomm and device vendors, which typically include kernel updates with proper bounds checking mechanisms and memory validation routines. System administrators should implement monitoring solutions to detect anomalous memory access patterns and potential exploitation attempts. Network segmentation and access controls can help limit the potential impact if exploitation occurs. The vulnerability aligns with several ATT&CK tactics including credential access and defense evasion, as attackers might use the information disclosure to gain further system access or hide their activities. Organizations should also consider implementing memory protection mechanisms such as stack canaries, address space layout randomization, and kernel address space layout randomization to reduce the effectiveness of exploitation attempts. Regular security assessments and vulnerability scanning should be conducted to identify any remaining exposure risks. The remediation process should include comprehensive testing to ensure that kernel updates do not introduce compatibility issues with existing device functionality while maintaining the security improvements necessary to address the buffer overread condition.

Responsible

Qualcomm, Inc.

Reservation

02/22/2022

Disclosure

10/19/2022

Moderation

accepted

EPSS

0.00126

KEV

no

Activities

very low

Sources

Are you interested in using VulDB?

Download the whitepaper to learn more about our service!