CVE-2023-42719 in T606
Summary
by MITRE • 12/04/2023
In video service, there is a possible out of bounds read due to a incorrect bounds check. This could lead to local denial of service with no additional execution privileges needed
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Analysis
by VulDB Data Team • 12/22/2023
The vulnerability identified as CVE-2023-42719 represents a critical out-of-bounds read condition within a video service component that stems from an incorrect bounds check implementation. This flaw exists in the manner in which the service validates input parameters during video processing operations, specifically when handling multimedia data streams. The improper validation allows an attacker to craft malicious input that bypasses intended boundary restrictions, potentially causing the application to access memory locations beyond the allocated buffer boundaries. Such a condition typically occurs when the software fails to properly verify array indices or buffer limits before performing memory operations, creating a scenario where the program attempts to read data from unauthorized memory regions. The vulnerability is classified under CWE-129 as an insufficient bounds checking issue, which directly relates to improper input validation and memory management practices within the application's core processing logic. This particular implementation flaw demonstrates a common pattern in multimedia processing services where input validation is insufficiently enforced during the parsing and handling of video content.
The operational impact of this vulnerability extends beyond simple denial of service conditions, as it can be exploited to disrupt video service availability without requiring any elevated privileges or execution rights. An attacker with access to the video service can trigger the out-of-bounds read by submitting specially crafted video files or stream parameters that cause the application to attempt memory access violations. The service may crash or become unresponsive when encountering these malformed inputs, resulting in a local denial of service that affects legitimate users attempting to access video content. This type of vulnerability aligns with ATT&CK technique T1499.004 which describes network denial of service attacks, though in this case the attack vector operates at the application layer rather than network infrastructure. The vulnerability's exploitation requires minimal privileges since it operates within the service's own execution context, making it particularly dangerous in environments where video processing services are exposed to untrusted input sources. The absence of additional execution privileges needed for exploitation reduces the attack surface and makes this vulnerability more accessible to adversaries with basic access to the service interface.
Mitigation strategies for CVE-2023-42719 should focus on implementing robust input validation and bounds checking mechanisms within the video service's processing pipeline. The primary remediation involves strengthening the boundary validation logic to ensure all array indices and buffer limits are properly verified before memory access operations occur. Security patches should include comprehensive code reviews and static analysis to identify similar patterns throughout the video processing codebase, as this type of vulnerability often indicates broader architectural weaknesses in input handling. Organizations should implement proper memory safety checks including bounds verification, null pointer checks, and input sanitization routines that prevent malformed data from reaching critical processing functions. Additionally, deploying intrusion detection systems that monitor for unusual input patterns and implementing rate limiting on video service endpoints can help detect and prevent exploitation attempts. The remediation process should also include thorough regression testing to ensure that the bounds checking improvements do not introduce performance degradation or break existing functionality. Security teams should consider implementing automated code analysis tools that can identify potential out-of-bounds read conditions during development cycles, as this vulnerability type frequently emerges from insufficient code review processes and inadequate testing of edge cases in multimedia processing applications.