744 skills found · Page 5 of 25
DataDog / LadingA suite of data generation and load testing tools
glinares / HephaestusOpen Source Office Malware Generation & Polymorphic Engine for Red Teams and QA testing
mattwhitfield / UnitverseA unit test generation extension for Visual Studio that aims to always produce code that compiles - covering the basic cases automatically and preparing as much as it can for the complex cases.
codelion / GramtestGramTest: A tool for Grammar based Test case generation
hsluoyz / AtalantaAtalanta is a modified ATPG (Automatic Test Pattern Generation) tool and fault simulator, orginally from VirginiaTech University.
abhir98 / RansomwareProject Summary This project was developed for the Computer Security course at my academic degree. Basically, it will encrypt your files in background using AES-256-CTR, a strong encryption algorithm, using RSA-4096 to secure the exchange with the server, optionally using the Tor SOCKS5 Proxy. The base functionality is what you see in the famous ransomware Cryptolocker. The project is composed by three parts, the server, the malware and the unlocker. The server store the victim's identification key along with the encryption key used by the malware. The malware encrypt with a RSA-4096 (RSA-OAEP-4096 + SHA256) public key any payload before send then to the server. This approach with the optional Tor Proxy and a .onion domain allow you to hide almost completely your server. Features Run in Background (or not) Encrypt files using AES-256-CTR(Counter Mode) with random IV for each file. Multithreaded. RSA-4096 to secure the client/server communication. Includes an Unlocker. Optional TOR Proxy support. Use an AES CTR Cypher with stream encryption to avoid load an entire file into memory. Walk all drives by default. Docker image for compilation. Building the binaries DON'T RUN ransomware.exe IN YOUR PERSONAL MACHINE, EXECUTE ONLY IN A TEST ENVIRONMENT! I'm not resposible if you acidentally encrypt all of your disks! First of all download the project outside your $GOPATH: git clone github.com/mauri870/ransomware cd ransomware If you have Docker skip to the next section. You need Go at least 1.11.2 with the $GOPATH/bin in your $PATH and $GOROOT pointing to your Go installation folder. For me: export GOPATH=~/gopath export PATH=$PATH:$GOPATH/bin export GOROOT=/usr/local/go Build the project require a lot of steps, like the RSA key generation, build three binaries, embed manifest files, so, let's leave make do your job: make deps make You can build the server for windows with make -e GOOS=windows. Docker ./build-docker.sh make Config Parameters You can change some of the configs during compilation. Instead of run only make, you can use the following variables: HIDDEN='-H windowsgui' # optional. If present the malware will run in background USE_TOR=true # optional. If present the malware will download the Tor proxy and use it to contact the server SERVER_HOST=mydomain.com # the domain used to connect to your server. localhost, 0.0.0.0, 127.0.0.1 works too if you run the server on the same machine as the malware SERVER_PORT=8080 # the server port, if using a domain you can set this to 80 GOOS=linux # the target os to compile the server. Eg: darwin, linux, windows Example: make -e USE_TOR=true SERVER_HOST=mydomain.com SERVER_PORT=80 GOOS=darwin The SERVER_ variables above only apply to the malware. The server has a flag --port that you can use to change the port that it will listen on. DON'T RUN ransomware.exe IN YOUR PERSONAL MACHINE, EXECUTE ONLY IN A TEST ENVIRONMENT! I'm not resposible if you acidentally encrypt all of your disks! Step by Step Demo and How it Works For this demo I'll use two machines, my personal linux machine and a windows 10 VM. For the sake of simplicity, I have a folder mapped to the VM, so I can compile from my linux and copy to the vm. In this demo we will use the Ngrok tool, this will allow us to expose our server using a domain, but you can use your own domain or ip address if you want. We are also going to enable the Tor transport, so .onion domains will work without problems. First of all lets start our external domain: ngrok http 8080 This command will give us a url like http://2af7161c.ngrok.io. Keep this command running otherwise the malware won't reach our server. Let's compile the binaries (remember to replace the domain): make -e SERVER_HOST=2af7161c.ngrok.io SERVER_PORT=80 USE_TOR=true The SERVER_PORT needs to be 80 in this case, since ngrok redirects 2af7161c.ngrok.io:80 to your local server port 8080. After build, a binary called ransomware.exe, and unlocker.exe along with a folder called server will be generated in the bin folder. The execution of ransomware.exe and unlocker.exe (even if you use a diferent GOOS variable during compilation) is locked to windows machines only. Enter the server directory from another terminal and start it: cd bin/server && ./server --port 8080 To make sure that all is working correctly, make a http request to http://2af7161c.ngrok.io: curl http://2af7161c.ngrok.io If you see a OK and some logs in the server output you are ready to go. Now move the ransomware.exe and unlocker.exe to the VM along with some dummy files to test the malware. You can take a look at cmd/common.go to see some configuration options like file extensions to match, directories to scan, skipped folders, max size to match a file among others. Then simply run the ransomware.exe and see the magic happens 😄. The window that you see can be hidden using the HIDDEN option described in the compilation section. After download, extract and start the Tor proxy, the malware waits until the tor bootstrapping is done and then proceed with the key exchange with the server. The client/server handshake takes place and the client payload, encrypted with an RSA-4096 public key must be correctly decrypted on the server. The victim identification and encryption keys are stored in a Golang embedded database called BoltDB (it also persists on disk). When completed we get into the find, match and encrypt phase, up to N-cores workers start to encrypt files matched by the patterns defined. This proccess is really quick and in seconds all of your files will be gone. The encryption key exchanged with the server was used to encrypt all of your files. Each file has a random primitive called IV, generated individually and saved as the first 16 bytes of the encrypted content. The algorithm used is AES-256-CTR, a good AES cypher with streaming mode of operation such that the file size is left intact. The only two sources of information available about what just happen are the READ_TO_DECRYPT.html and FILES_ENCRYPTED.html in the Desktop. In theory, to decrypt your files you need to send an amount of BTC to the attacker's wallet, followed by a contact sending your ID(located on the file created on desktop). If the attacker can confirm your payment it will possibly(or maybe not) return your encryption key and the unlocker.exe and you can use then to recover your files. This exchange can be accomplished in several ways and WILL NOT be implemented in this project for obvious reasons. Let's suppose you get your encryption key back. To recover the correct key point to the following url: curl -k http://2af7161c.ngrok.io/api/keys/:id Where :id is your identification stored in the file on desktop. After, run the unlocker.exe by double click and follow the instructions. That's it, got your files back 😄 The server has only two endpoints: POST api/keys/add - Used by the malware to persist new keys. Some verifications are made, like the verification of the RSA autenticity. Returns 204 (empty content) in case of success or a json error. GET api/keys/:id - Id is a 32 characters parameter, representing an Id already persisted. Returns a json containing the encryption key or a json error The end As you can see, building a functional ransomware, with some of the best existing algorithms is not difficult, anyone with some programming skills can build that in any programming language.
AI-ANK / RAGArchRAGArch is a Streamlit-based application that empowers users to experiment with various components and parameters of Retrieval-Augmented Generation (RAG) pipelines. Utilizing the power of Llamaindex, RAGArch facilitates the testing of different configurations to see how they perform.
JetBrains-Research / TestSparkTestSpark - a plugin for generating unit tests. TestSpark natively integrates different AI-based test generation tools and techniques in the IDE. Started by SERG TU Delft. Currently under implementation by JetBrains Research (Software Testing Research) for research purposes.
josephwilk / PairwiseRuby based tool for selecting a smaller number of test input combinations (using pairwise generation) rather than exhaustively testing all possible permutations.
Iqoqo / MockshotAutomatic mock generation from snapshot tests
cirosantilli / Test Many Commits 1mRepository with two million commits (~215 MiB local size, 30s generation time). Generated efficiently with Python + git fast-import: https://github.com/cirosantilli/test-git-web-interface/blob/37e5c34111c4791d0ec06ce32d7d7843b648b66d/other-test-repos/many-commits-fast-import.py
ellydee / Acceptance BenchA robust LLM evaluation framework measuring acceptance vs refusal across difficulty levels. Features multi-prompt variation testing, temperature sweeping, and LLM-as-judge evaluation. Current focus: creative writing benchmarks including erotica generation tasks.
bytedance / Nxt UnitNxtUnit is an automatically unit test generation application for Go.
bugarela / Tla TransmutationElixir code and test generation from TLA+ specifications
chainguard-sandbox / OsqtoolAutomated testing, generation & manipulation of #osquery packs
logic-star-ai / Swt Bench[NeurIPS 2024] Evaluation harness for SWT-Bench, a benchmark for evaluating LLM repository-level test-generation
CorentinGS / Chesschess is a set of go packages which provide common chess utilities such as move generation, turn management, checkmate detection, PGN encoding, UCI interoperability, image generation, opening book exploration, and others. It is well tested and optimized for performance.
davewathaverford / The Omega ProjectTools from Pugh et al.'s "Omega Project" for constraint-based compiler tools: The "Omega Library" for constraint manipulation; The "Omega Calculator" (text interface); the "Omega Test" for depedence analysis; the "Uniform Library" for code transformation; and the "Code generation" library for generating the transformed code. I am experimenting with tracking bugs with Lighthouse, but am not yet sure I've got it configure right --- see http://davew_haverford.lighthouseapp.com/projects/13658-the-omega-project/overview (if you can; if you can't, email davew@cs.haverford.edu).
DataKitchen / Dataops TestgenDataOps Data Quality TestGen is part of DataKitchen's Open Source Data Observability. DataOps TestGen delivers simple, fast data quality test generation and execution by data profiling, new dataset hygiene review, AI generation of data quality validation tests, ongoing testing of data refreshes, & continuous anomaly monitoring
unrealgt / UnrealgtA framework for synthetic test data generation for computer vision with the Unreal Engine.
