Binary function similarity
WebApr 1, 2024 · In this paper, we propose a method to compare the binary code similarity of each function by using a combination of Control Flow Graphs (CFGs) and disassembled instruction sequences contained... WebSep 8, 2024 · One such area is binary function similarity, which is the problem of taking the binary representation of two functions and producing a number that denotes how …
Binary function similarity
Did you know?
WebAug 22, 2024 · The problem of cross-platform binary code similarity detection aims at detecting whether two binary functions coming from different platforms are similar or not. It has many security applications, including plagiarism detection, malware detection, vulnerability search, etc. Existing approaches rely on approximate graph matching … WebNov 13, 2024 · Abstract: The binary similarity problem consists in determining if two functions are similar by only considering their compiled form. Advanced techniques for …
WebJul 13, 2013 · import numpy as np # base similarity matrix (all dot products) # replace this with A.dot(A.T).toarray() for sparse representation similarity = np.dot(A, A.T) # squared magnitude of preference vectors (number of occurrences) square_mag = np.diag(similarity) # inverse squared magnitude inv_square_mag = 1 / square_mag # if it doesn't occur, set … WebJan 1, 2024 · A binary file, after disassembled, is represented as an assembly instruction sequence, and each instruction is composed of an opcode and zero to several operands. INNEREYE [12] is a...
WebApr 15, 2024 · Binary code similarity detection (BCSD) plays an important role in malware analysis and vulnerability discovery. Existing methods mainly rely on the expert’s … WebNov 13, 2024 · Binary code similarity detection (BCSD) serves as a basis for a wide spectrum of applications, including software plagiarism, malware classification, and known vulnerability discovery. However, the… Expand Highly Influenced View 14 excerpts, cites background and methods
WebNov 17, 2024 · Cosine similarity is for comparing two real-valued vectors, but Jaccard similarity is for comparing two binary vectors (sets). In set theory it is often helpful to see a visualization of the formula: We can see …
WebApr 15, 2024 · Fig. 1. The Similarity Detection Framework of BinDeep. The input to the framework is two binary functions. The output is the similarity value of these two functions. In the second stage, we make use of a deep learning model to identify the CPU architectures and optimization levels of target binary functions. phone repair maddingtonWebAug 24, 2024 · Although deep learning-based binary code similarity detection has achieved good results, there are still some areas for improvement. Firstly, Siamese neural networks are prone to overfitting, and it is problematic to mark the similarity of function pairs with the same source as 1 and those with different sources as −1. phone repair lynchburg vaWebNov 27, 2024 · This section will introduce how to convert the ACFG of the binary function into a graph embedding. For the embedded vector, the distance of the vector is calculated by the cos distance formula, and then the similarity between the binary functions is obtained. Here we introduce the theoretical model of the Siamese Network, which can … how do you say what in italianWebDec 2, 2024 · A binary code similarity measurement approach is a popular research area within binary analysis. It involves using two binary codes as inputs, converting the input … how do you say what in hebrewWebDec 9, 2016 · 3.2 Function matching process. This section describes our function matching process to calculate similarities of binary files. Our proposed function matching process is composed of three steps: the standard system library matching step, the N-tuple matching step, and the final n-gram based matching step. how do you say what in russianWebUSENIX The Advanced Computing Systems Association how do you say what is it in spanishWebApr 12, 2024 · The kernel function calculates the similarity between two data points in the original feature space. Herein, the Tanimoto kernel 38 was used, which is preferred for molecular similarity ... how do you say what in spanish