CVE-2025-47387 in Snapdragon Compute
Summary
by MITRE • 12/18/2025
Memory Corruption when processing IOCTLs for JPEG data without verification.
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Analysis
by VulDB Data Team • 12/18/2025
This vulnerability represents a critical memory corruption flaw that manifests during the processing of input/output control commands specifically targeting JPEG data formats. The issue stems from inadequate validation mechanisms within the device driver or system component responsible for handling these IOCTL operations, creating a pathway for malicious actors to manipulate memory structures through carefully crafted JPEG payloads. The absence of proper verification procedures means that the system accepts and processes malformed or unexpected JPEG data without sufficient sanitization, leading to potential buffer overflows, heap corruption, or other memory integrity violations.
The technical exploitation of this vulnerability occurs when a malicious entity submits specially constructed JPEG data through IOCTL interfaces, bypassing normal input validation checks that should occur during data processing. This flaw operates at the kernel level or system driver layer where JPEG decoding routines execute, making it particularly dangerous as it can lead to arbitrary code execution or system crashes. The vulnerability aligns with CWE-121, which addresses stack-based buffer overflow conditions, and may also relate to CWE-787, concerning out-of-bounds write operations. From an attack perspective, this represents a significant vector for privilege escalation attacks and can be leveraged to gain unauthorized system access or cause denial of service conditions.
The operational impact of this vulnerability extends beyond simple system instability to encompass potential data breaches and complete system compromise. When exploited successfully, the memory corruption can result in system crashes, application failures, or more severe outcomes including remote code execution. Attackers can potentially leverage this weakness to execute malicious code with elevated privileges, particularly if the affected system components operate with administrative rights. The vulnerability affects systems that process JPEG data through IOCTL interfaces, which commonly includes multimedia applications, image processing software, and embedded systems that handle image file operations. Organizations utilizing such systems face substantial risk as the flaw can be exploited through various attack vectors including network-based delivery of malicious JPEG files or local exploitation through compromised user accounts.
Mitigation strategies should focus on implementing comprehensive input validation and verification mechanisms for all IOCTL operations involving JPEG data processing. System administrators should deploy immediate patches from vendors when available, as the vulnerability likely affects widely used imaging libraries and driver frameworks. Network segmentation and access controls can help limit the attack surface by restricting access to systems that process JPEG data through IOCTL interfaces. Additionally, implementing runtime monitoring and anomaly detection systems can help identify potential exploitation attempts by monitoring for unusual memory access patterns or unexpected data processing behaviors. Security teams should also consider implementing the principle of least privilege, ensuring that systems processing JPEG data operate with minimal required permissions to reduce the potential impact of successful exploitation. The remediation approach should align with defensive security frameworks that emphasize input sanitization and memory safety practices as outlined in various cybersecurity standards and best practices.