Heap Spray Exploit Detection via Virtual Environment Hashing
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Solution Overview
Problem
Current security detection techniques face challenges in identifying and preventing zero-day threats and malware that utilize heap spraying techniques, as these exploits can leverage predictable memory locations to execute malicious code, making it difficult to differentiate between normal and malicious program behaviors.
Innovation Solution
Implementing exploit detection based on heap spray detection techniques, including modifying the execution environment, such as changing binary file versions or base addresses, and using virtual environments to detect and prevent malicious heap spraying by analyzing memory allocation patterns and comparing hash values of allocated blocks, thereby disrupting the execution environment required by malicious programs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional security detection techniques are used, then detection simplicity is maintained, but detection precision deteriorates due to inability to identify zero-day threats and heap spraying techniques
Solution Approach 1:
The system performs preliminary actions by allocating memory blocks and computing hash values before actual exploitation occurs. Multiple memory blocks are pre-sprayed with identical data patterns, and hash values are computed in advance, enabling detection of heap spraying techniques before they can successfully execute malicious code.
Solution Approach 2:
The invention creates copies of memory blocks with identical data patterns to simulate heap spraying behavior. By allocating multiple memory blocks and filling them with the same sequence of bytes, the system generates detectable patterns that replicate malicious heap spraying without actually executing exploits, enabling safe detection and analysis.
2Measurement precision
If execution environment is modified to detect malicious patterns, then detection precision improves, but false positives increase due to disruption of normal program behaviors
Solution Approach 1:
The system introduces a virtual environment as an intermediary layer between the detection system and the actual program execution. This virtual environment isolates the modified execution conditions from production systems, allowing aggressive detection techniques to be applied without causing false positives in normal operations. The virtual machine acts as a mediator that captures and analyzes memory patterns safely.
Solution Approach 2:
The invention replaces direct analysis of actual program execution with analysis of virtualized execution. Instead of modifying real system memory and risking false positives, the system uses virtual machine emulation to create controlled execution environments where heap spraying patterns can be detected through memory analysis without interfering with production systems.
3Speed
If memory allocation patterns are analyzed in real-time, then detection speed improves, but computational resources increase due to continuous hash computation and comparison
Solution Approach 1:
The system applies partial action by computing hash values for only a subset of memory blocks rather than analyzing every allocated memory region. By selecting representative samples of memory blocks for hash computation and comparison, the system achieves effective detection of heap spraying patterns while reducing computational overhead and resource consumption.
Data Source
AI summary
Various techniques for exploit detection based on heap spray detection are disclosed. In some embodiments, exploit detection based on heap spray detection includes executing a program in a virtual environment; and detecting heap spray in memory while executing the program in the virtual environment. In some embodiments, exploit detection based on heap spray detection includes executing a program in a virtual environment; and detecting heap spray related malware in response to a modification of an execution environment in the virtual environment.