CVE-2025-27043 in Snapdragon Auto
Summary
by MITRE • 07/08/2025
Memory corruption while processing manipulated payload in video firmware.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Analysis
by VulDB Data Team • 09/07/2025
This vulnerability represents a critical memory corruption flaw that occurs during the processing of manipulated video firmware payloads within embedded systems. The issue manifests when firmware components receive malformed or crafted input data that triggers improper memory handling during video processing operations. Such memory corruption vulnerabilities typically arise from inadequate input validation and buffer overflow conditions that can be exploited by attackers to disrupt normal system operations or potentially execute arbitrary code within the firmware environment. The vulnerability affects systems where video firmware components are responsible for processing multimedia data, particularly in devices such as network video recorders, surveillance cameras, and embedded multimedia systems that handle external video streams or firmware updates.
The technical implementation of this vulnerability stems from improper memory management practices during firmware payload processing, where the system fails to properly validate or sanitize incoming video data before attempting to process it within memory buffers. Attackers can manipulate video firmware payloads to cause memory corruption through techniques such as buffer overflows, heap corruption, or stack corruption that result from insufficient bounds checking and memory allocation validation. This flaw aligns with common weakness enumerations such as CWE-121, which describes stack-based buffer overflow conditions, and CWE-122, which covers heap-based buffer overflow scenarios. The vulnerability represents a significant risk in firmware environments where privilege levels are high and system integrity is paramount.
The operational impact of this vulnerability extends beyond simple system instability to potentially enable complete system compromise when exploited. Memory corruption in firmware contexts can lead to denial of service conditions that prevent legitimate video processing operations, or more critically, allow attackers to gain unauthorized access to system resources and potentially execute malicious code within the firmware environment. This creates a persistent threat vector since firmware updates are often infrequent and difficult to remediate, leaving systems vulnerable for extended periods. The vulnerability can be particularly dangerous in security-critical applications such as surveillance systems where maintaining continuous operation and data integrity is essential for security monitoring purposes.
Mitigation strategies for this vulnerability should focus on implementing robust input validation mechanisms and memory safety practices within firmware development processes. Organizations should prioritize firmware updates from vendors that address this specific memory corruption issue and implement strict validation of all video firmware payloads before processing. Security controls should include runtime protections such as stack canaries, address space layout randomization, and heap memory protection mechanisms to reduce exploitability. Additionally, implementing network segmentation and access controls around video firmware systems can limit the attack surface and prevent unauthorized firmware manipulation. According to attack technique frameworks such as those referenced in the mitre att&ck matrix, this vulnerability could be categorized under techniques involving firmware manipulation and privilege escalation, making it a significant concern for organizations implementing security monitoring and incident response protocols.