CVE-2022-39003 in EMUI
Summary
by MITRE • 09/16/2022
Buffer overflow vulnerability in the video framework. Successful exploitation of this vulnerability will affect the confidentiality and integrity of trusted components.
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Analysis
by VulDB Data Team • 10/20/2022
The CVE-2022-39003 vulnerability represents a critical buffer overflow flaw within a video framework component that serves as a foundational element in multimedia processing systems. This vulnerability resides in the memory management mechanisms of the video processing pipeline, where insufficient bounds checking occurs during buffer allocation and data handling operations. The flaw manifests when the framework processes video streams or frames that exceed predetermined memory boundaries, creating opportunities for malicious data injection into adjacent memory regions. Such vulnerabilities typically arise from inadequate input validation and improper memory management practices that have been classified under CWE-121 as "Stack-based Buffer Overflow" or CWE-122 as "Heap-based Buffer Overflow" depending on the specific implementation context.
The technical exploitation of this buffer overflow presents significant operational risks to system security and data integrity. When an attacker successfully triggers this vulnerability, they can overwrite critical memory locations including return addresses, function pointers, or sensitive data structures within the video framework. This memory corruption can lead to arbitrary code execution within the privileged context of the video processing application, potentially allowing attackers to compromise the confidentiality of protected media content or manipulate the integrity of video processing operations. The vulnerability affects trusted components because the video framework typically operates with elevated privileges to handle multimedia data, making it a prime target for attackers seeking to establish persistent access or escalate privileges within the system.
From an operational impact perspective, this vulnerability creates substantial risks for organizations relying on video processing systems, particularly in environments where multimedia content contains sensitive information or where the video framework integrates with other security-critical components. The confidentiality implications are severe as attackers could potentially access encrypted video streams, extract embedded metadata, or intercept proprietary content during processing. Integrity concerns arise when the buffer overflow allows manipulation of video processing parameters, leading to forged video content or altered processing outcomes that could compromise downstream applications relying on the integrity of video data. The vulnerability's impact extends beyond immediate exploitation as it may enable attackers to establish persistent backdoors or facilitate lateral movement within networks where video processing systems are deployed.
Security mitigations for CVE-2022-39003 should prioritize immediate patch deployment from vendors who have addressed the specific buffer overflow conditions in their video framework implementations. Organizations must implement robust input validation mechanisms and memory boundary checking throughout the video processing pipeline to prevent unauthorized memory access. Additionally, deployment of address space layout randomization ASLR and data execution prevention DEP technologies can significantly reduce exploitation success rates by making memory layout predictions more difficult for attackers. The vulnerability aligns with ATT&CK technique T1059.007 for command and script interpreter usage and T1548.001 for abuse of privileges, as exploitation typically involves leveraging the framework's elevated privileges to execute malicious code. Network segmentation and monitoring of video processing system communications can help detect anomalous behavior indicative of exploitation attempts, while regular security assessments should verify that all video framework components are properly updated and configured according to security best practices established in frameworks such as NIST SP 800-53 and ISO 27001.