ZProtect jiami.net

Renames metadata entities and supports advanced obfuscation methods that harden protection scheme and foil reverse engineering altogether.

Mal-XT: Higher accuracy hidden-code extraction of packed binary executable iopscience.iop.org

(November 2018)

Mal-xtract: Hidden code extraction using memory analysis iopscience.iop.org

(January 2017)

Pin intel.com

Dynamic binary instrumentation framework for the IA-32, x86-64 and MIC instruction-set architectures that enables the creation of dynamic program analysis tools.

Tutorial: An overview of malware detection and evasion techniques inria.hal.science

(December 2018)

Chosen-instruction attack against commercial code virtualization obfuscators ink.library.smu.edu.sg

(April 2022) :star:

Unpacking, reversing, patching infosecinstitute.com

The malware analyst's guide to aPLib decompression infocon.org

Opcodes as predictor for malware inderscienceonline.com

(January 2008)

BinStat tool for recognition of packed executables ijofcs.org

(September 2010)

PE file features in detection of packed executables ijcte.org

(January 2012)

A survey on malware analysis techniques: Static, dynamic, hybrid and memory analysis ijaseit.insightsociety.org

(September 2018)

Hashing-based encryption and anti-debugger support for packing multiple files into single executable ijarcs.info

(February 2018)

Evading anti-malware engines with deep reinforcement learning ieeexplore.ieee.org

(March 2019) :star:

A survey on machine learning-based detection and classification technology of malware ieeexplore.ieee.org

(September 2021) :star:

A comprehensive solution for obfuscation detection and removal based on comparative analysis of deobfuscation tools ieeexplore.ieee.org

(October 2021) :star:

Enhanced metamorphic techniques-A case study against havex malware ieeexplore.ieee.org

(August 2021) :star:

BODMAS: An open dataset for learning based temporal analysis of PE malware ieeexplore.ieee.org

(May 2021) :star:

Functionality-preserving black-box optimization of adversarial windows malware ieeexplore.ieee.org

(May 2021) :star:

Packer identification method for multi-layer executables with k-Nearest neighbor of entropies ieeexplore.ieee.org

(October 2020) :star:

Bypassing anti-analysis of commercial protector methods using DBI tools ieeexplore.ieee.org

(January 2021) :star:

Experimental comparison of machine learning models in malware packing detection ieeexplore.ieee.org

(September 2020) :star:

DroidPDF: The obfuscation resilient packer detection framework for Android Apps ieeexplore.ieee.org

(July 2020)

x64Unpack: Hybrid emulation unpacker for 64-bit Windows Environments and detailed analysis results on VMProtect 3.4 ieeexplore.ieee.org

(July 2020) :star:

SCORE: Source code optimization & reconstruction ieeexplore.ieee.org

(July 2020)

Classifying packed malware represented as control flow graphs using deep graph convolutional neural network ieeexplore.ieee.org

(March 2020) :star:

A dynamic heuristic method for detecting packed malware using naive bayes ieeexplore.ieee.org

(November 2019) :star:

Birds of a feature: Intrafamily clustering for version identification of packed malware ieeexplore.ieee.org

(September 2020) :star:

Disabling anti-debugging techniques for unpacking system in user-level debugger ieeexplore.ieee.org

(October 2019)

VMRe: A reverse framework of virtual machine protection packed binaries ieeexplore.ieee.org

(June 2019)

Static analysis method on portable executable files for REMNUX based malware identification ieeexplore.ieee.org

(October 2019)

Feature selection for malware detection based on reinforcement learning ieeexplore.ieee.org

(December 2019)

Exploring adversarial examples in malware detection ieeexplore.ieee.org

(May 2019) :star:

SMASH: A malware detection method based on multi-feature ensemble learning ieeexplore.ieee.org

(August 2019)

Efficient SVM based packer identification with binary diffing measures ieeexplore.ieee.org

(July 2019)

A consistently-executing graph-based approach for malware packer identification ieeexplore.ieee.org

(April 2019) :star:

Adversarial malware binaries: Evading deep learning for malware detection in executables ieeexplore.ieee.org

(September 2018) :star:

Understanding Linux malware ieeexplore.ieee.org

(May 2018)

Malware family classification method based on static feature extraction ieeexplore.ieee.org

(December 2017)

ByteWise: A case study in neural network obfuscation identification ieeexplore.ieee.org

(January 2018)

A control flow graph-based signature for packer identification ieeexplore.ieee.org

(October 2017) :star:

Adaptive unpacking of Android Apps ieeexplore.ieee.org

(May 2017)

RePEconstruct: Reconstructing binaries with self-modifying code and import address table destruction ieeexplore.ieee.org

(October 2016)

Comparing malware samples for unpacking: A feasibility study ieeexplore.ieee.org

(August 2016)

Fast and robust fixed-point algorithms for independent component analysis ieeexplore.ieee.org

(May 1999)

SoK: (state of) the art of war: Offensive techniques in binary analysis ieeexplore.ieee.org

(May 2016)

Mal-EVE: Static detection model for evasive malware ieeexplore.ieee.org

(August 2015)

A token strengthened encryption packer to prevent reverse engineering PE files ieeexplore.ieee.org

(January 2015)

Obfuscator-LLVM: Software protection for the masses ieeexplore.ieee.org

(May 2015)

A generic approach to automatic deobfuscation of executable code ieeexplore.ieee.org

(May 2015) :star: