pyt

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diaphora

δiaphora 安装 使用 Hex-Rays 插件管理器 安装： hcli plugin install https://github.com/joxeankoret/diaphora/archive/refs/tags/3.4.2.zip 手动安装说明见下文。 Diaphora（διαφορά，希腊语中意为“差异”）3.4 版本是截至目前（2026 年）可用的最先进的程序差异比较工具（作为 IDA 插件工作）。它于 2015 年在 SyScan 期间首次发布，此后一直得到积极维护：Diaphora 已经被移植了 11 年，覆盖了从 6.8 到 9.4 的每一个 IDA 次要版本。...

grap

grap: 在二进制文件中定义和匹配图模式 https://github.com/QuoSecGmbH/grap grap 接受模式和二进制文件，使用基于 Capstone 的反汇编器从二进制文件中获取控制流图，然后对这些图进行模式匹配。 模式是用户定义的图，包含指令条件（“opcode 是 xor 且 arg1 是 eax”）和重复条件（3条相同的指令、基本块等）。 grap 既可以作为独立工具使用（包含反汇编器和 Python 绑定），也可以作为 IDA 插件使用，利用 IDA 的反汇编结果和逆向分析能力。 支持： 文件：PE、ELF 和原始二进制文件的反汇编，更多文件类型应在 ID...

retdec

Warning The RetDec project is currently in a limited maintenance mode due to a lack of resources: Pull Requests are welcomed. They are reviewed with priority, if possible without delays. Issues are reacted on with delays up to one quarter. Issues are not actively solved unless they relate to a...

Static Attribution of Android Residential Proxy Malware Using Graph Kernels

Android residential proxy applications represent a growing class of potentially-unwanted programs PUPs that covertly route third-party traffic through end-user devices, enabling ad fraud, credential abuse, and evasion of geolocation controls by sophisticated threat actors. Attributing an unknown...

Explainability-Guided Adversarial Attacks on Transformer-Based Malware Detectors Using Control Flow Graphs

Transformer-based malware detection systems operating on graph modalities such as control flow graphs CFGs achieve strong performance by modeling structural relationships in program behavior. However, their robustness to adversarial evasion attacks remains underexplored. This paper examines the...

ContractShield: Bridging Semantic-Structural Gaps Via Hierarchical Cross-Modal Fusion for Multi-Label Vulnerability Detection in Obfuscated Smart Contracts

Smart contracts are increasingly targeted by adversaries employing obfuscation techniques such as bogus code injection and control flow manipulation to evade vulnerability detection. Existing multimodal methods often process semantic, temporal, and structural features in isolation and fuse them...

Routing-Aware Explanations for Mixture of Experts Graph Models in Malware Detection

Mixture-of-Experts MoE offers flexible graph reasoning by combining multiple views of a graph through a learned router. We investigate routing-aware explanations for MoE graph models in malware detection using control flow graphs CFGs. Our architecture builds diversity at two levels. At the node...

A Research and Development Portfolio of GNN Centric Malware Detection, Explainability, and Dataset Curation

Graph Neural Networks GNNs have become an effective tool for malware detection by capturing program execution through graph-structured representations. However, important challenges remain regarding scalability, interpretability, and the availability of reliable datasets. This paper brings togeth...

Explainable Ensemble Learning for Graph-Based Malware Detection

Malware detection in modern computing environments demands models that are not only accurate but also interpretable and robust to evasive techniques. Graph neural networks GNNs have shown promise in this domain by modeling rich structural dependencies in graph-based program representations such a...

Retargetable Machine-Code Decompiler: RetDec

RetDec is a retargetable machine-code decompiler based on LLVM . The decompiler is not limited to any particular target architecture, operating system, or executable file format: Supported file formats: ELF, PE, Mach-O, COFF, AR archive, Intel HEX, and raw machine code. Supported architectures 32...

Reverse Engineering Cross Platform Disassembler: Panopticon

Reverse Engineering Cross Platform Disassembler Panopticon is a disassembler that understands the semantics of opcodes. This way it’s able to help the user by discovering and displaying invariants that would have to be discovered “by hand” in traditional disassemblers. This allows an interactive...