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fantastic_beasts
The Fantastic Beasts Framework is a collection of tools for fuzzing the Android OS.cti-to-mitre-with-nlp
Replication package for the paper "Automatic Mapping of Unstructured Cyber Threat Intelligence: An Experimental Study" published at the IEEE International Symposium on Software Reliability Engineering (ISSRE) 2022Shellcode_IA32
Shellcode_IA32 is a dataset consisting of challenging but common assembly instructions, collected from real shellcodes, with their natural language descriptions. The dataset can be used for neural machine translation tasks to automatically generate software exploits from natural language.EVIL
EVIL (Exploiting software VIa natural Language) is an approach to automatically generate software exploits in assembly/Python language from descriptions in natural language. The approach leverages Neural Machine Translation (NMT) techniques and a dataset that we developed for this work.Fault-Injection-Dataset
Failure dataset accompanying the paper "How Bad Can a Bug Get? An Empirical Analysis of Software Failures in the OpenStack Cloud Computing Platform"thorfi
ThorFI: A Novel Approach for Network Fault Injection as a ServiceOpenStack-Fault-Injection-Environment
Tools to repeat the fault-injection experiments presented in the paper "How Bad Can a Bug Get? An Empirical Analysis of Software Failures in the OpenStack Cloud Computing Platform" (ESEC/FSE '19).Failure-Dataset-OpenStack
Failure dataset containing information on the events collected in the OpenStack cloud computing platform during three different campaigns of fault-injection experiments performed with three different workloads.DeepEST
powershell-offensive-code-generation
violent-python
This repo contains a manually curated dataset, where a sample contains a piece of Python code from an offensive software, and its corresponding description in natural language (plain English).iris
Repository linked to DSN 2023 paper "IRIS: a Record and Replay Framework to Enable Hardware-assisted Virtualization Fuzzing"DeepSample
BayesianReliabilityAssessment
Laccolith
Targeted-Data-Poisoning-Attacks
This repository contains the code, the dataset and the experimental results related to the paper "Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks" accepted for publication at The 32nd IEEE/ACM International Conference on Program Comprehension (ICPC 2024).PySA2
PySA2 is the Python Source-code Analyzer for Python 2.7 that exploits Python ASTprogrammazione2-2020
MetroFunnel
Real-time monitoring of microservices based software systemsCTI-Document-Analyzer
k4.0s
This repo refers to the paper "Introducing k4.0s: a Model for Mixed-Criticality Container Orchestration in Industry 4.0" @ ADSN 2022Love Open Source and this site? Check out how you can help us