Awesome Forensics
Forensics is one of the most active areas in Awesome Cybersecurity — 87 papers in this collection, evaluated on datasets like MITRE ATT&CK, 353 authentic tools, Android malware datasets. A strong starting point is "Learning The Associations Of MITRE ATT&CK Adversarial Techniques".
Datasets & benchmarks
Key papers
- Learning The Associations Of MITRE ATT&CK Adversarial Techniques (2020)Rawan Al-Shaer, Jonathan M. Spring, Eliana Christou14.69
- Detecting Malicious Powershell Commands Using Deep Neural Networks (2018)Danny Hendler, Shay Kels, Amir Rubin14.11
- A Few-shot Meta-learning Based Siamese Neural Network Using Entropy Features For Ransomware Classification (2021)Jinting Zhu, Julian Jang-Jaccard, Amardeep Singh, et al.14.02
- Deephunter: A Graph Neural Network Based Approach For Robust Cyber Threat Hunting (2021)Renzheng Wei, Lijun Cai, Aimin Yu, et al.12.99
- Ast-based Deep Learning For Detecting Malicious Powershell (2018)Gili Rusak, Abdullah Al-Dujaili, Una-May O'Reilly10.97
- A Comprehensive Study On Learning-based PE Malware Family Classification Methods (2021)Yixuan Ma, Shuang Liu, Jiajun Jiang, et al.10.07
- Ransomai: Ai-powered Ransomware For Stealthy Encryption (2023)Jan von Der Assen, Alberto Huertas Celdrán, Janik Luechinger, et al.8.82
- Advanced Persistent Threats (APT) Attribution Using Deep Reinforcement Learning (2024)Animesh Singh Basnet, Mohamed Chahine Ghanem, Dipo Dunsin, et al.8.09
- RAIDER: Reinforcement-aided Spear Phishing Detector (2021)Keelan Evans, Alsharif Abuadbba, Tingmin Wu, et al.8.09
- Beyond Labeling: Using Clustering To Build Network Behavioral Profiles Of Malware Families (2019)Azqa Nadeem, Christian Hammerschmidt, Carlos H. Gañán, et al.7.50
- Classification And Online Clustering Of Zero-day Malware (2023)Olha Jurečková, Martin Jureček, Mark Stamp, et al.7.16
- On Deceiving Malware Classification With Section Injection (2022)Adeilson Antonio da Silva, Mauricio Pamplona Segundo6.34
- APOLLO: A Gpt-based Tool To Detect Phishing Emails And Generate Explanations That Warn Users (2024)Giuseppe Desolda, Francesco Greco, Luca Viganò6.34
- Community Targeted Phishing: A Middle Ground Between Massive And Spear Phishing Through Natural Language Generation (2017)Alberto Giaretta, Nicola Dragoni5.84
- Eagleeye: Attention To Unveil Malicious Event Sequences From Provenance Graphs (2024)Philipp Gysel, Candid Wüest, Kenneth Nwafor, et al.5.84
- Malcl: Leveraging Gan-based Generative Replay To Combat Catastrophic Forgetting In Malware Classification (2025)Jimin Park, Ahyun Ji, Minji Park, et al.5.46
- SPADE: Enhancing Adaptive Cyber Deception Strategies With Generative AI And Structured Prompt Engineering (2025)Shihab Ahmed, A B M Mohaimenur Rahman, Md Morshed Alam, et al.5.04
- A Proactive Decoy Selection Scheme For Cyber Deception Using MITRE ATT&CK (2024)Marco Zambianco, Claudio Facchinetti, Domenico Siracusa4.52
- The Perceived Fragility of Explanations in Audio Models: Manipulation of Attribution with Unchanged Predictions (2026)Piotr Kit{\l}owski et al.4.39
- When Errors Become Narratives: A Longitudinal Taxonomy of Silent Failures in a Production LLM Agent Runtime (2026)Wei Wu4.39
- Botnet Detection on CTU-13 Using Lightweight Machine Learning Models (2026)Subhash Gurappa et al.4.33
- AI-Driven Cybercrime Forensics for Predictive Threat Detection and Investigative Intelligence (2026)Atif Khan4.26
- XAI-Driven Malware Detection from Memory Artifacts: An Alert-Driven AI Framework with TabNet and Ensemble Classification (2026)Aristeidis Mystakidis et al.4.26
- Phishinghook: Catching Phishing Ethereum Smart Contracts Leveraging EVM Opcodes (2025)Pasquale de Rosa, Simon Queyrut, Yérom-David Bromberg, et al.2.93
- SPECTRE: A Hybrid System For An Adaptative And Optimised Cyber Threats Detection, Response And Investigation In Volatile Memory (2025)Arslan Tariq Syed, Mohamed Chahine Ghanem, Elhadj Benkhelifa, et al.2.93
- Rule-att&ck Mapper (RAM): Mapping SIEM Rules To Ttps Using Llms (2025)Prasanna N. Wudali, Moshe Kravchik, Ehud Malul, et al.2.93
- Tracking Cyber Adversaries With Adaptive Indicators Of Compromise (2017)Justin E. Doak, Joe B. Ingram, Sam A. Mulder, et al.2.26
- Detecting Centralized Architecture-based Botnets Using Travelling Salesperson Non-deterministic Polynomial-hard Problem, TSP-NP Technique (2020)Victor R. Kebande, Nickson M. Karie, Richard Adeyemi Ikuesan, et al.2.26
- RedAct: Redacting Agent Capability Traces for Procedural Skill Protection (2026)Shuwen Xu et al.2.00
- Automating Cloud Security And Forensics Through A Secure-by-design Generative AI Framework (2026)Dalal Alharthi, Ivan Roberto Kawaminami Garcia2.00
- Tl-rl-fusionnet: An Adaptive And Efficient Reinforcement Learning-driven Transfer Learning Framework For Detecting Evolving Ransomware Threats (2026)Jannatul Ferdous, Rafiqul Islam, Arash Mahboubi, et al.2.00
- Internet Malware Propagation: Dynamics And Control Through SEIRV Epidemic Model With Relapse And Intervention (2026)Samiran Ghosh, V Anil Kumar2.00
- Cutting The Gordian Knot: Detecting Malicious Pypi Packages Via A Knowledge-mining Framework (2026)Wenbo Guo, Chengwei Liu, Ming Kang, et al.2.00
- From Component Manipulation To System Compromise: Understanding And Detecting Malicious MCP Servers (2026)Yiheng Huang, Zhijia Zhao, Bihuan Chen, et al.2.00
- Cleanbase: Detecting Malicious Documents In RAG Knowledge Databases (2026)Weifei Jin, Xilong Wang, Wei Zou, et al.2.00
- Reproducibility In Event-log Research: A Parametrised Generator And Benchmark For Event-based Signatures (2026)Saad Khan, Simon Parkinson, Monika Roopak2.00
- Rhea: Detecting Privilege-escalated Evasive Ransomware Attacks Using Format-aware Validation In The Cloud (2026)Beom Heyn Kim, Seok Min Hong, Mohammad Mannan2.00
- Regular Expression Denial Of Service Induced By Backreferences (2026)Yichen Liu, Berk Çakar, Aman Agrawal, et al.2.00
- Learning The APT Kill Chain: Temporal Reasoning Over Provenance Data For Attack Stage Estimation (2026)Trung V. Phan, Thomas Bauschert2.00
- An Integrated Endpoint Detection and Response Framework Utilizing Image-Based Malware Detection, Memory Forensics, and Behavioral Analysis (2026)Dharmesh P et al.2.00
- Real-Time Nlp Pipelines For Proactive Threat Detection In High-Velocity Data Streams (2026)Abhishek Suman2.00
- Mempot: Defending Against Memory Extraction Attack With Optimized Honeypots (2026)Yuhao Wang, Shengfang Zhai, Guanghao Jin, et al.2.00
- Backbone is All You Need: Assessing Vulnerabilities of Frozen Foundation Models in Synthetic Image Forensics (2026)C. Musso et al.1.94
- Self-Supervised Learning for Android Malware Detection on a Time-Stamped Dataset (2026)Annan Fu et al.1.89
- Evidence Of Cognitive Biases In Capture-the-flag Cybersecurity Competitions (2025)Carolina Carreira, Anu Aggarwal, Alejandro Cuevas, et al.1.33
- Phishkey: A Novel Centroid-based Approach For Enhanced Phishing Detection Using Adaptive HTML Component Extraction (2025)Felipe Castaño, Eduardo Fidalgo, Enrique Alegre, et al.1.33
- Phishlumos: An Adaptive Multi-agent System For Proactive Phishing Campaign Mitigation (2025)Daiki Chiba, Hiroki Nakano, Takashi Koide1.33
- A Comprehensive Review Of Denial Of Wallet Attacks In Serverless Architectures (2025)Mark Dorsett, Scott Mann, Jabed Chowdhury, et al.1.33
- Neural Encrypted State Transduction For Ransomware Classification: A Novel Approach Using Cryptographic Flow Residuals (2025)Barnaby Fortescue, Edmund Hawksmoor, Alistair Wetherington, et al.1.33
- Cybersleuth: Autonomous Blue-team LLM Agent For Web Attack Forensics (2025)Stefano Fumero, Kai Huang, Matteo Boffa, et al.1.33
- Bounty Hunter: Autonomous, Comprehensive Emulation Of Multi-faceted Adversaries (2025)Louis Hackländer-Jansen, Rafael Uetz, Martin Henze1.33
- Evomail: Self-evolving Cognitive Agents For Adaptive Spam And Phishing Email Defense (2025)Wei Huang, de-Tian Chu, Lin-Yuan Bai, et al.1.33
- Pimref: Detecting And Explaining Ever-evolving Spear Phishing Emails With Knowledge Base Invariants (2025)Ruofan Liu, Yun Lin, Silas Yeo Shuen Yu, et al.1.33
- Trojandec: Data-free Detection Of Trojan Inputs In Self-supervised Learning (2025)Yupei Liu, Yanting Wang, Jinyuan Jia1.33
- Ancora: Accurate Intrusion Recovery For Web Applications (2025)Yihao Peng, Biao Ma, Hai Wan, et al.1.33
- "explain, Don't Just Warn!" -- A Real-time Framework For Generating Phishing Warnings With Contextual Cues (2025)Sayak Saha Roy, Cesar Torres, Shirin Nilizadeh1.33
- Modeling Behavioral Preferences Of Cyber Adversaries Using Inverse Reinforcement Learning (2025)Aditya Shinde, Prashant Doshi1.33
- Send To Which Account? Evaluation Of An Llm-based Scambaiting System (2025)Hossein Siadati, Haadi Jafarian, Sima Jafarikhah1.33
- Mcptox: A Benchmark For Tool Poisoning Attack On Real-world MCP Servers (2025)Zhiqiang Wang, Yichao Gao, Yanting Wang, et al.1.33
- A Set Of Generalized Components To Achieve Effective Poison-only Clean-label Backdoor Attacks With Collaborative Sample Selection And Triggers (2025)Zhixiao Wu, Yao Lu, Jie Wen, et al.1.33