Machine learning en.wikipedia.org

Cluster analysis en.wikipedia.org

x86 disassembly/Windows executable files en.wikibooks.org

AT4RE Protector en.52yma.com

Very simple PE files protector programmed in ASM.

ELF-Encrypter elf-encrypter.sourceforge.net

Collection of programs to encrypt ELF binaries using various algorithms.

Static features exploration for executable packing with unsupervised learning ecam.be

(June 2023) :star:

The new signature generation method based on an unpacking algorithm and procedure for a packer detection earticle.net

(February 2011)

Encoded executable file detection technique via executable file header analysis earticle.net

(April 2009)

Maitland: Analysis of packed and encrypted malware via paravirtualization extensions dspace.library.uvic.ca

(June 2012)

Writing a packer dr4k0nia.github.io

PESpin downloads.fyxm.net

The matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary… doi.org

Detecting unknown malicious code by applying classification techniques on opcode patterns doi.org

(February 2012)

A survey on automated dynamic malware-analysis techniques and tools doi.org

(March 2008)

OmniUnpack doi.org

New technique for fast, generic, and safe unpacking of malware by monitoring the execution in real-time and detecting the removed layers of packing.

Justin doi.org

Just-In-Time AV scanning ; generic unpacking solution.

Executable file formats docs.fileformat.com

An experimental study on identifying obfuscation techniques in packer docplayer.net

(June 2016)

OARC Malware Dataset dns-oarc.net

Semi-public dataset of 3,467 samples captured in the wild from Sep 2005 to Jan 2006 by mail traps, user submissions, honeypots and other sources aggregated by the OARC, available to qualified academic and industry researchers upon request.

Collective classification for packed executable identification dl.acm.org

(September 2011)

The MALICIA dataset: Identification and analysis of drive-by download operations dl.acm.org

(February 2015)

On the feasibility of malware unpacking via hardware-assisted loop profiling dl.acm.org

(August 2023) :star:

ELF-Miner: Using structural knowledge and data mining methods to detect new (Linux) malicious executables dl.acm.org

(March 2012)

Automatic analysis of malware behavior using machine learning dl.acm.org

(December 2011)

PolyPack: An automated online packing service for optimal antivirus evasion dl.acm.org

(August 2009)

Unpacking virtualization obfuscators dl.acm.org

(August 2009)

Static analysis of executables to detect malicious patterns dl.acm.org

(August 2003)

Pattern recognition and machine learning (Information science and statistics) dl.acm.org

Adversarially robust assembly language model for packed executables detection dl.acm.org

(November 2025) :star:

EMBER2024 - A benchmark dataset for holistic evaluation of malware classifiers dl.acm.org

(August 2025) :star:

GUARD: Generic API de-obfuscation and obfuscated malware unpacking with sIAT dl.acm.org

(March 2025) :star:

Pitfalls in machine learning for computer security dl.acm.org

(October 2024)

Xunpack: Cross-Architecture unpacking for Linux IoT malware dl.acm.org

(October 2023) :star:

Certified robustness of static deep learning-based malware detectors against patch and append attacks dl.acm.org

(November 2023) :star:

PackGenome: Automatically generating robust YARA rules for accurate malware packer detection dl.acm.org

(November 2023) :star:

Decoding the secrets of machine learning in malware classification: A deep dive into datasets, feature extraction, and… dl.acm.org

(November 2023) :star:

File packing from the malware perspective: Techniques, analysis approaches, and directions for enhancements dl.acm.org

(December 2022) :star: :star:

MLxPack: Investigating the effects of packers on ML-based malware detection systems using static and dynamic traits dl.acm.org

(May 2022) :star:

Adversarial EXEmples: A survey and experimental evaluation of practical attacks on machine learning for windows… dl.acm.org

(September 2021) :star:

SoK: Automatic deobfuscation of virtualization-protected applications dl.acm.org

(August 2021) :star:

SE-PAC: A self-evolving packer classifier against rapid packers evolution dl.acm.org

(April 2021) :star:

Deceiving portable executable malware classifiers into targeted misclassification with practical adversarial examples dl.acm.org

(March 2020)

Obfuscation: Where are we in anti-DSE protections? (a first attempt) dl.acm.org

(December 2019)

SATURN - Software deobfuscation framework based on LLVM dl.acm.org

(November 2019)

A close look at a daily dataset of malware samples dl.acm.org

(January 2019) :star:

Enhancing machine learning based malware detection model by reinforcement learning dl.acm.org

(November 2018)

VMHunt: A verifiable approach to partially-virtualized binary code simplification dl.acm.org

(October 2018) :star:

BinUnpack dl.acm.org

Unpacking approach free from tedious memory access monitoring, therefore introducing very small runtime overhead.

Towards paving the way for large-scale Windows malware analysis: Generic binary unpacking with orders-of-magnitude… dl.acm.org

(October 2018) :star:

Packer identification based on metadata signature dl.acm.org

(December 2017) :star: