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Initial implementation of a method to localize malicious behaviors from API call traces of Android apps

macke

Modular And Compositional analysis with KLEE Engine

Python

113

obfuscation-benchmarks

A set of programs used for benchmarking the strength of obfuscation

indistinguishability-obfuscation

Implementation of indistinguishability obfuscation constructions from scientific literature

Python

vot4cs

A Virtualization Obfuscation Tool for C# programs

munch

Greybox fuzzer for optimizing function coverage and finding low-level vulnerabilities in C programs

Makefile

attack-graph-generator

Python

klee-install

Step by step manual for building KLEE

Shell

dta-vs-osc

Dynamic Taint Analysis versus Obfuscated Self-Checking

Repackman

A Tool for the Automatic Repackaging of Android Apps

deadlines

Deadline countdowns for academic conferences relevant to the SSE chair.

JavaScript

Oedipus

A Python framework that uses machine learning algorithms to implement the metadata recovery attack against obfuscated programs.

Python

self-checksumming

C++

sip-toolchain

A toolchain for software integrity protection including self-checksumming, control flow integrity, result checking, oblivious hashing and a sample program protected using Intel SGX

sip-oblivious-hashing

LLVM

JTeC

JTeC: Java Testwise Coverage

Java

input-dependency-analyzer

C++

dirts

DIRTS: Dependency Injection Aware Regression Test Selection

Java

Maat

Maat is a framework that mines VirusTotal scan reports to extract various information about the correctness, completeness, and consistency of scanners. It can also be used to train threshold-based and ML-based labeling strategies to label (Android) apps according to their VirusTotal scan reports and much more. Maat also refers to the ancient Egyptian concepts of truth, balance, order, harmony.

Python

Pairika

C++

nequivack

Non-equivalence checker for C programs

binary-rts

BinaryRTS is a research tool for regression test selection of C++ binaries based on dynamic binary instrumentation

Python

Aletheia

HTML

macke-opt-llvm

Passes for LLVM operations inside MACKE

C++

CIS-Benchmark-Evaluation

This repository is part of the paper Automated Implementation of Windows-related Security-Configuration Guides presented at the 35th IEEE/ACM International Conference on Automated Software Engineering.

HTML

inverse-transparency

Connected infrastructure to automatically log and display accesses to employees' data

Python

macke-fuzzer-opt-llvm

C++

green-fuzzing-artifacts

Artifacts for the paper: "Green Fuzzing: A Saturation-Based Stopping Criterion using Vulnerability Prediction"

Jupyter Notebook

what-the-func

A simple C++ function parser/tagger based on tree-sitter

TypeScript

rritbed

Real-Time Remote Intrusion Detection Testbed

Python

SACPS-evaluation-framework

Python

disa-windows-server-2016

ssacps_packages

Contains ROS packages to run the use cases in the ssacps_simulation repository.

C++

troutcatchers

A framework for the extraction of malicious behaviors from Android (repackaged) malware

Python

kovacs

sipvsml

Software Integrity Protection Versus Machine Learning

Jupyter Notebook

CodeMapExtractor

Python

survey-tools

A bunch of text and pdf analysis tools that may be useful for literature surveys and mapping studies

Python

MakeAdditions

Add magic to your make command

Python

disa-windows-server-2019

Better-Safe-Than-Sorry

This repository is part of the paper "Better Safe Than Sorry! Automated Identification of Breaking Security-Configuration Rules" accepted at the "4th ACM/IEEE International Conference on Automation of Software Test (AST)". https://conf.researchr.org/home/ast-2023

Python

CODASPY2022

This repository is part of the paper "Hardening with Scapolite: a DevOps-based Approach for Improved Authoring and Testing of Security-Configuration Guides in Large-Scale Organizations" presented at the 12th ACM Conference on Data and Application Security and Privacy (CODASPY). http://www.codaspy.org/2022/

Automated-Identification-of-Security-Relevant-Configuration-Settings-Using-NLP

This repository is part of the paper "Automated Identification of Security-Relevant Configuration Settings Using NLP" accepted at the Industry Showcase track at the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE). https://conf.researchr.org/track/ase-2022/ase-2022-industry-showcase.

Jupyter Notebook

tum-i4/localizing-android-malicious-behaviors

tum-i4

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