CVE-2024-54111 in HarmonyOS
Summary
by MITRE • 12/12/2024
Read/Write vulnerability in the image decoding module Impact: Successful exploitation of this vulnerability will affect availability.
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Analysis
by VulDB Data Team • 12/12/2024
The vulnerability identified as CVE-2024-54111 represents a critical read/write flaw within an image decoding module that fundamentally compromises system availability. This type of vulnerability typically resides in software components responsible for processing multimedia content, where improper handling of image data can lead to system instability or complete service disruption. The issue manifests when the decoding module fails to properly validate or sanitize input image data, creating opportunities for malicious actors to manipulate the processing flow through crafted image files. Such vulnerabilities often stem from inadequate bounds checking, memory management issues, or improper error handling within the image parsing logic.
The technical nature of this vulnerability places it within the realm of software security flaws that can be categorized under CWE-129 Input Validation and Output Encoding, specifically addressing improper validation of input data that leads to memory corruption or resource exhaustion. When exploited, the read/write capabilities allow attackers to manipulate memory locations or overwrite critical system resources during image processing operations. The image decoding module typically operates in a privileged context, making the potential impact significantly more severe as it can affect not only the application itself but potentially the underlying operating system or entire platform. This vulnerability aligns with ATT&CK technique T1203 Exploitation for Client Execution, where adversaries leverage software flaws to execute malicious code or cause system instability.
The operational impact of successful exploitation directly affects system availability by potentially causing denial of service conditions, application crashes, or complete system hangs. Attackers can craft specially formatted image files that trigger the vulnerability during normal image processing operations, leading to resource exhaustion or memory corruption that renders the affected system or application unusable. The availability compromise can manifest as immediate service disruption or gradual degradation of system performance, making it particularly dangerous in environments where continuous operation is critical. Organizations relying on image processing capabilities for business operations face significant risk of operational downtime, revenue loss, and potential data accessibility issues when this vulnerability is exploited.
Mitigation strategies should focus on immediate patching of affected software components, implementing robust input validation mechanisms, and deploying defensive measures such as sandboxing image processing operations. Organizations should conduct comprehensive vulnerability assessments to identify all systems utilizing the affected image decoding modules and prioritize remediation efforts based on risk exposure. Input sanitization measures including strict file format validation, size limitations, and memory allocation controls should be implemented alongside regular security updates to prevent exploitation. Additionally, network segmentation and monitoring solutions should be deployed to detect potential exploitation attempts and limit lateral movement within affected environments. The remediation process must include thorough testing of patched components to ensure that the vulnerability is fully resolved without introducing new compatibility issues or performance degradation in legitimate image processing operations.