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Kitploit
Kitploit
•added 2026/10/19 2:30 a.m.•56 views

pyt

.. image:: https://travis-ci.org/python-security/pyt.svg?branch=master :target: https://travis-ci.org/python-security/pyt .. image:: https://readthedocs.org/projects/pyt/badge/?version=latest :target: http://pyt.readthedocs.io/en/latest/?badge=latest .. image::...

6AI score
SaveExploits0References15
Kitploit
Kitploit
•added 2026/10/18 10:04 p.m.•319 views

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...

5.9AI score
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Kitploit
Kitploit
•added 2026/10/18 1:40 p.m.•18 views

grap

grap: define and match graph patterns within binaries https://github.com/QuoSecGmbH/grap grap takes patterns and binary files, uses a Casptone-based disassembler to obtain the control flow graphs from the binaries, then matches the patterns against them. Patterns are user-defined graphs with...

6.3AI score
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Kitploit
Kitploit
•added 2026/10/11 3:48 p.m.•20 views

diaphora

δiaphora Instalación Instalar con el gestor de plugins de Hex-Rays: hcli plugin install https://github.com/joxeankoret/diaphora/archive/refs/tags/3.4.2.zip Instalación manual: descarga el código y colócalo en tu directorio plugins/. Diaphora διαφορά, griego para 'diferencia' versión 3.4 es la...

6.1AI score
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Packet Storm News
Packet Storm News
•added 2026/06/23 12:00 a.m.•31 views

Representation Matters: An Empirical Study of Program Representations for LLM Vulnerability Reasoning

Large Language Models LLMs are increasingly used for automated vulnerability detection, but it remains unclear how program structure and semantics should be represented for LLM-based reasoning. Most prompting-based approaches provide raw source code, implicitly assuming that more source-level...

6AI score
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Packet Storm News
Packet Storm News
•added 2026/04/29 12:00 a.m.•59 views

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...

5.8AI score
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Packet Storm News
Packet Storm News
•added 2026/04/04 12:00 a.m.•23 views

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...

5.9AI score
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Packet Storm News
Packet Storm News
•added 2026/04/03 12:00 a.m.•23 views

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...

6AI score
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Packet Storm News
Packet Storm News
•added 2026/02/21 12:00 a.m.•33 views

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...

6AI score
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Packet Storm News
Packet Storm News
•added 2025/11/25 12:00 a.m.•20 views

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...

7AI score
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Packet Storm News
Packet Storm News
•added 2025/08/13 12:00 a.m.•25 views

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...

6.8AI score
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n0where
n0where
•added 2017/12/14 6:50 p.m.•114 views

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...

6.8AI score
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n0where
n0where
•added 2016/05/25 2:29 p.m.•109 views

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...

0.1AI score
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