Awesome List Updates on Nov 11, 2024
7 awesome lists updated today.
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1. Awesome Executable Packing
๐ Literature / Documentation
- ๐ Cluster analysis
- ๐ฐ A complexity measure
- ๐ Machine learning
- ๐ Packers
๐ Literature / Scientific Research
- ๐ฐ Adversarial EXEmples: A survey and experimental evaluation of practical attacks on machine learning for windows malware detection (September 2021) โญ
- ๐ Adversarial learning on static detection techniques for executable packing (June 2023) โญ
- ๐ Adversarial tool for breaking static detection of executable packing (August 2024) โญ
- ๐ An application of machine learning to analysis of packed mac malware (May 2022) โญ
- ๐ Assessing the impact of packing on machine learning-based malware detection and classification systems (October 2024) โญ
- ๐ Automated static analysis of virtual-machine packers (August 2013)
- ๐ Automatic static unpacking of malware binaries (October 2009)
- ๐ Classifying packed programs as malicious software detected (December 2016)
- ๐ Collective classification for packed executable identification (September 2011)
- ๐ A compact multi-step framework for packing identification in portable executable files for malware analysis (February 2024)
- ๐ฐ Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE) (May 2021)
- ๐ฐ Control flow-based opcode behavior analysis for malware detection (July 2014)
- ๐ Decoding the secrets of machine learning in malware classification: A deep dive into datasets, feature extraction, and model performance (July 2023) โญ
- ๐ฐ Detecting packed executables based on raw binary data (June 2010)
- ๐ฐ Detecting unknown malicious code by applying classification techniques on opcode patterns (February 2012)
- ๐ Detection of metamorphic malware packers using multilayered LSTM networks (November 2020) โญ
- ๐ Dynamic classification of packing algorithms for inspecting executables using entropy analysis (October 2013)
- ๐ A dynamic heuristic method for detecting packed malware using naive bayes (November 2019) โญ
- ๐ฐ Effective, efficient, and robust packing detection and classification (May 2019) โญ โญ โญ
- ๐ EMBER: An open dataset for training static PE malware machine learning models (April 2018) โญ
- ๐ Entropy analysis to classify unknown packing algorithms for malware detection (May 2016) โญ
- ๐ฐ ERMDS: A obfuscation dataset for evaluating robustness of learning-based malware detection system (May 2023)
- ๐ Evading packing detection: Breaking heuristic-based static detectors (July 2024) โญ
- ๐ Experimental comparison of machine learning models in malware packing detection (September 2020) โญ
- ๐ Fileprints: Identifying file types by n-gram analysis (June 2005)
- ๐ Generating adversarial malware examples for black-box attacks based on GAN (February 2020)
- ๐ฐ Generic packing detection using several complexity analysis for accurate malware detection (January 2014)
- ๐ Generic unpacking using entropy analysis (October 2010)
- ๐ฐ A heuristics-based static analysis approach for detecting packed PE binaries (October 2013)
- ๐ฐ Identifying malware packers through multilayer feature engineering in static analysis (February 2024) โญ
- ๐ฐ Improving malware detection using multi-view ensemble learning (August 2016)
- ๐ Incremental clustering of malware packers using features based on transformed CFG (November 2022)
- ๐ Intriguing properties of adversarial ML attacks in the problem space (March 2020)
- ๐ Intriguing properties of neural networks (February 2014)
- ๐ Learning to evade static PE machine learning malware models via reinforcement learning (January 2018)
- ๐ MAB-Malware: A reinforcement learning framework for attacking static malware classifiers (April 2021)
- ๐ Malware family classification method based on static feature extraction (December 2017)
- ๐ฐ Malwise - An effective and efficient classification system for packed and polymorphic malware (June 2013)
- ๐ MLxPack: Investigating the effects of packers on ML-based malware detection systems using static and dynamic traits (May 2022) โญ
- ๐ Novel feature extraction, selection and fusion for effective malware family classification (March 2016)
- ๐ฐ On deceiving malware classification with section injection (August 2022)
- ๐ On evaluating adversarial robustness (February 2019)
- ๐ฐ Opcode sequences as representation of executables for data-mining-based unknown malware detection (May 2013)
- ๐ฐ Original entry point detection based on graph similarity (April 2024)
- ๐ฐ Packer classification based on association rule mining (July 2022) โญ
- ๐ Packer identification using byte plot and Markov plot (September 2015)
- ๐ PolyUnpack: Automating the hidden-code extraction of unpack-executing malware (December 2006) ๐ ๐ ๐
- ๐ฐ Practical attacks on machine learning: A case study on adversarial windows malware (September 2022)
- ๐ RAMBO: Run-Time packer analysis with multiple branch observation (July 2016) โญ
- ๐ Renovo: A hidden code extractor for packed executables (November 2007) โญ โญ
- ๐ฐ Revealing packed malware (September 2008)
- ๐ SE-PAC: A self-evolving packer classifier against rapid packers evolution (April 2021) โญ
- ๐ฐ Sequential opcode embedding-based malware detection method (March 2022)
- ๐ SoK: Deep packer inspection: A longitudinal study of the complexity of run-time packers (May 2015) โญ โญ
- ๐ Static analysis method on portable executable files for REMNUX based malware identification (October 2019)
- ๐ A static, packer-agnostic filter to detect similar malware samples (July 2012)
- ๐ A survey on adversarial attacks for malware analysis (January 2022)
- ๐ Symbolic deobfuscation: From virtualized code back to the original (July 2018)
- ๐ Symbolic execution of obfuscated code (October 2015) โญ
- ๐ Transcending transcend: Revisiting malware classification in the presence of concept drift (December 2021)
- ๐ Understanding linux malware (May 2018) โญ
- ๐ Unknown malcode detection using OPCODE representation (December 2008)
- ๐ Unsupervised clustering machine learning on packed executable (June 2022)
- ๐ฐ Using entropy analysis to find encrypted and packed malware (March 2007)
- ๐ When malware is packin' heat; limits of machine learning classifiers based on static analysis features (January 2020) โญ โญ
๐ Datasets / Scientific Research
- VX Underground - PL-CERT based open source MWDB python application holding a malware database containing every APT sample from 2010 and over 7.5M maliciousbinaries.
๐ฆ Packers / After 2010
- PEzor (โญ2k) - Open-Source Shellcode & PE Packer.
- ProtectMyTooling (โญ977) - Multi-Packer wrapper letting us daisy-chain various packers, obfuscators and other Red Team oriented weaponry.
๐ฆ Packers / Between 2000 and 2010
- x86.Virtualizer - x86 Virtualizer.
๐ง Tools / Before 2000
- Gym-Malware (โญ624) - This is a malware manipulation environment for OpenAI's gym.
- PEPack (โญ733) - PE file packer detection tool, part of the Unix package "pev".
- REMINDer (โญ3) - Packing detection tool based on the entropy value of the entry point section and the WRITE attribute.
- SecML Malware (โญ229) - Create adversarial attacks against machine learning Windows malware detectors.
2. Awesome Selfhosted
Software / Content Management Systems (CMS)
- Vvveb CMS - Powerful and easy to use CMS to build websites, blogs or e-commerce stores. (Demo, Source Code (โญ637))
AGPL-3.0PHP/Docker
Software / Inventory Management
- Cannery - Firearm and ammunition tracker app. (Source Code)
AGPL-3.0Docker
Software / Learning and Courses
- scholarsome - Web-based and open source interactive flashcard learning software studying for the masses. (Demo, Source Code (โญ625))
GPL-3.0Docker
Software / Pastebins
- lesma - Simple paste app friendly with browser and command line. (Demo, Source Code)
GPL-3.0Rust/Docker
Software / Time Tracking
- Beaver Habit Tracker (โญ1.3k) - Habit tracking app to save your precious moments in your fleeting life. (Demo)
BSD-3-ClauseDocker
3. Awesome Flame
Open Source / Casual
- Sober Driver (โญ7) - An app with 10 mini games to designate a sober driver for a night out. Get it on Google Play, App Store. By Mauro Vanetti.
4. Awesome Directus
Extensions / Community
- Auto generate file transformations (โญ4) - Automatically generate selected file transformations on upload
5. Awesome Agi Cocosci
Abduction / Applications in AI
- Probabilistic Horn abduction and Bayesian networks - Artificial Intelligence, 1993. [All Versions]. This paper presents a simple framework for Horn-clause abduction, with probabilities associated with hypotheses. The framework incorporates assumptions about the rule base and independence assumptions amongst hypotheses. It is shown how any probabilistic knowledge representable in a discrete Bayesian belief network can be represented in this framework. The main contribution is in finding a relationship between logical and probabilistic notions of evidential reasoning. This provides a useful representation language in its own right, providing a compromise between heuristic and epistemic adequacy.
6. Awesome Angular
Integrations / Google Developer Experts
- ngx-surreal (โญ1) - Lightweight Angular wrapper for the SurrealDB JavaScript SDK.
Captcha / Google Developer Experts
- ngx-slider-recaptcha (โญ3) - Customizable Angular library that provides a slider-based CAPTCHA component to help secure forms from spam and bot submissions.
Loaders / Google Developer Experts
- nx-svg-loaders (โญ3) - Angular, React, Svelte, Vue SVG loader/spinner collection.
Modals / Google Developer Experts
- up-window-angular (โญ4) - An Angular library designed to create dynamic, customizable modals and window-based components for web applications.
Misc Components / Google Developer Experts
- ngx-morse (โญ7) - A simple morse code encoder and decoder for Angular.
7. Awesome Pokemon
Development Projects / Miscellaneous
- PokemonRedExperiments (โญ7.4k) - Playing Pokรฉmon Red with Reinforcement Learning.
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