36 skills found · Page 1 of 2
jwx0539 / HackingLibraryAPT, Cyber warfare, Penetration testing, Zero-day,Exploiting, Spyware,Malwares evade anti-virus detection, Rookit CYPTER, Antiviruses Bypassing-av, WORMS,Sandbox-Escape, Memory-injection, Ethical,Gray,White,RedTeam...
eastmountyxz / AI Security PaperThis resource mainly counts papers related to APT attacks, including APT traceability, APT knowledge graph construction, APT malicious sample detection, and APT overview. Hope these summarized papers are helpful to you~
OTRF / Detection Hackathon Apt29Place for resources used during the Mordor Detection hackathon event featuring APT29 ATT&CK evals datasets
MGz-Staze / Tools TermuxCara Update dan Upgrade Termux pkg update && pkg upgrade Tools Pendukung untuk Termux Tools pendukung yang di perlukan agar tools yang lain work. <—-| PENTING pkg install git php curl -y pkg install python2 pkg install apache2 Trik Termux Untuk mematikan atau memberhentikan tools tekan tombol volume bawah (-) + C secara bersamaan Untuk memunculkan commands sebelumnya tekan tombol volume bawah + P Menampilkan Tombol ESC, HOME, CTRL dan lainnya Tekan Tombol volume atas + Q script termux Menampilkan Matrix Ini cuma menampilkan angka dan huruf berjatuhan, terlihat keren •pkg install cmatrix cmatrix mempercantik termux Note : Jika ada pertanyaan saat install, silahkan ketik tombol y lalu enter saja, agar proses install dapat berjalan dengan lancar. Ratusan Tools Termux Sebagian dari Kali Linux •pkg install git •git clone https://github.com/Mrcakil/mrcakil •cd mrcakil •chmod +x tools •./tools ratusan tools termux Bermain atau Memunculkan Kereta Api pkg install sl sl main termux Bot Auto Reaction Facebook •git clone https://github.com/AMVengeance/FB-React.git •chmod +x FB-React -R cd FB-React •./start fb react Bot Love Instagram •git clone https://github.com/indogram/indotagram.git •php indotagram/login.php Masukkan username dan password instagram untuk memunculkan cookie Kemudian copy dan paste kode cookie ke website penyedia bot instagram disini bot instagram NIK dan KK Gratis •pkg install php git •git clone https://github.com/IndonesiaSecurity/kkktp •cd kkktp php •kkktp.php Menjalankan Musik di Termux pkg install mpv mpv /lokasi/musik/musik.mp3 cara memutar musik di termux Menampilkan Informasi System pkg install neofetch neofetch tampilan informasi Membuat Tulisan atau Teks Besar di Termux pkg install figlet figlet initulisannya cara membuat tulisan nesar di termux Crack hash password git clone https://github.com/FajriHidayat088/FHX-Hash-Killer/ cd FHX-Hash-Killer python2 FHXHashKiller.py Cara Menginstall Metasploit di Termux Metasploit adalah tools hacking yang dapat di gunakan untuk kegiatan seperti remote pc atau hp orang lain, membuat virus, menyadap dan lain sebagainya. Cara Install dan Menjalankannya pkg install curl curl -LO https://raw.githubusercontent.com/Hax4us/Metasploit_termux/master/metasploit.sh chmod +x metasploit.sh ./metasploit.sh Cara Install Wifite di Termux Android Wifite adalah salah satu tool yang berfungsi untuk wireless attack, seperti mengcrack atau membobol password wifi yang terkunci dengan wpa/wpa2, Cara Install Wifite git clone https://github.com/derv82/wifite cd wifite chmod 777 wifite.py Cara Menjalankan Wifite python2 wifite.py Bruteforce Bruteforce ini metode hacking yang dimana kita akan membuat suatu wordlist yang berisi kumpulan tebakan password, jika ada salah satu password yang sesuai maka akun bisa di dapatkan. pkg install pip pip install wordlist pkg install worlist wordlist -h cd /sdcard cat pas.txt Redhawk Fitur Redhawk Server detection Cloudflare detector robots scanner Whois GEO-IP Scan NMAP Port Scan DNS Lookup SubNet Calculator Subdomain Finder Reverse IP Scanner CMS detection For Sites On the same server. Parameter Finder Error based SQLi Detector Dan lain – lain. Cara install dan menjalankan Redhawk git clone https://github.com/Tuhinshubhra/RED_HAWK cd RED_HAWK chmod +x rhawk.php php rhawk.php Install SQLMAP Tools ini berguna sekali untuk kegiatan mengetes keamanan website, deface, carding dan semacamnya gi clone https://github.com/sqlmapproject/sqlmap cd sqlmap python2 sqlmap.py Cara menjalankan python2 sqlmap.py -u website.com --dbs Mengetahui semua parameter Sqlmap python2 sqlmap.py -hh Melacak IP git clone https://github.com/maldevel/IPGeolocation cd IPGeolocation chmod +x ipgeolocation.py pip install -r requirements.txt python ipgeolocation.py -m python ipgeolocation.py -t IPnya Hack Akun Facebook •pkg install python2-dev •apt install wget dip2 •install mechanize •cd/sterage/emulated/0 python2 fbbrute.py •storage/emulated/0/password.txt Membuat Virus git clone https://github.com/viruz09/CreaterVirus cd CreaterVirus python2 creater.py Cara copy virus cp agents.apk /lokasi/folder DDOS DDOS berguna untuk menyerang website dengan memberikan traffic yang tinggi sehingga website tersebut down. git clone https://github.com/4L13199/LITEDDOS python2 LITEDDOS.py [ip target atau domain] [port] [jumlah traffic] Cara Install Santet Online Di Termux Fitur Create a Netcat Payload and Listener Facebook Group Hijack Attack SMS Bomber Attack Vectors SMS Spoof Attack Vectors Denial-of-Service Attack •git clone https://github.com/Gameye98/santet-online •cd santet-online •python2 santet.py Tools B4J1N94N Fitur Nyari CC buat carding Spam akun gmail Whois lookup Dan ratusan tools lainnya •git clone https://github.com/DarknessCyberTeam/B4J1N64Nv5 •cd B4J1N64Nv5 •sh B4J1N64N.sh
HoangNV2001 / Real Time IDSReal-time Intrusion Detection System implementing Machine Learning. We combine Supervised Learning (RF) for detecting known attacks from CICIDS 2018 & SCVIC-APT datasets, and Unsupervised Learning (AE) for anomaly detection.
hwwzrzr / APT KGLAPT-KGL: An Intelligent APT Detection System Based on Threat Knowledge and Heterogeneous Provenance Graph Learning
arcana-technologies / Arcana.elfscanELF binary forensics tool for APT, virus, backdoor and rootkit detection
4uiiurz1 / Kaggle Aptos2019 Blindness Detection11th place solution for APTOS 2019 Blindness Detection on Kaggle (https://www.kaggle.com/c/aptos2019-blindness-detection).
dimitreOliveira / APTOS2019BlindnessDetection:3rd_place_medal: (Bronze medal - 163rd place - Top 6%) Repository for the "APTOS 2019 Blindness Detection" Kaggle competition.
CoDS-GCS / OCR APTOCR-APT: Reconstructing APT Stories through Subgraph Anomaly Detection and LLMs.
dfir-ronin / APT OpenIOC Detection RulesThis repository contains OpenIOC rules to aid in hunting for indicators of compromise and TTPs focused on Advanced Persistent Threat groups.
khornlund / Aptos2019 Blindness DetectionKaggle 83rd Place (Top 3%) Solution
ajaybhatiya1234 / DEEP FACE Dectection01 Read the technical deep dive: https://www.dessa.com/post/deepfake-detection-that-actually-works # Visual DeepFake Detection In our recent [article](https://www.dessa.com/post/deepfake-detection-that-actually-works), we make the following contributions: * We show that the model proposed in current state of the art in video manipulation (FaceForensics++) does not generalize to real-life videos randomly collected from Youtube. * We show the need for the detector to be constantly updated with real-world data, and propose an initial solution in hopes of solving deepfake video detection. Our Pytorch implementation, conducts extensive experiments to demonstrate that the datasets produced by Google and detailed in the FaceForensics++ paper are not sufficient for making neural networks generalize to detect real-life face manipulation techniques. It also provides a current solution for such behavior which relies on adding more data. Our Pytorch model is based on a pre-trained ResNet18 on Imagenet, that we finetune to solve the deepfake detection problem. We also conduct large scale experiments using Dessa's open source scheduler + experiment manger [Atlas](https://github.com/dessa-research/atlas). ## Setup ## Prerequisities To run the code, your system should meet the following requirements: RAM >= 32GB , GPUs >=1 ## Steps 0. Install [nvidia-docker](https://github.com/nvidia/nvidia-docker/wiki/Installation-(version-2.0)) 00. Install [ffmpeg](https://www.ffmpeg.org/download.html) or `sudo apt install ffmpeg` 1. Git Clone this repository. 2. If you haven't already, install [Atlas](https://github.com/dessa-research/atlas). 3. Once you've installed Atlas, activate your environment if you haven't already, and navigate to your project folder. That's it, You're ready to go! ## Datasets Half of the dataset used in this project is from the [FaceForensics](https://github.com/ondyari/FaceForensics/tree/master/dataset) deepfake detection dataset. . To download this data, please make sure to fill out the [google form](https://github.com/ondyari/FaceForensics/#access) to request access to the data. For the dataset that we collected from Youtube, it is accessible on [S3](ttps://deepfake-detection.s3.amazonaws.com/augment_deepfake.tar.gz) for download. To automatically download and restructure both datasets, please execute: ``` bash restructure_data.sh faceforensics_download.py ``` Note: You need to have received the download script from FaceForensics++ people before executing the restructure script. Note2: We created the `restructure_data.sh` to do a split that replicates our exact experiments avaiable in the UI above, please feel free to change the splits as you wish. ## Walkthrough Before starting to train/evaluate models, we should first create the docker image that we will be running our experiments with. To do so, we already prepared a dockerfile to do that inside `custom_docker_image`. To create the docker image, execute the following commands in terminal: ``` cd custom_docker_image nvidia-docker build . -t atlas_ff ``` Note: if you change the image name, please make sure you also modify line 16 of `job.config.yaml` to match the docker image name. Inside `job.config.yaml`, please modify the data path on host from `/media/biggie2/FaceForensics/datasets/` to the absolute path of your `datasets` folder. The folder containing your datasets should have the following structure: ``` datasets ├── augment_deepfake (2) │ ├── fake │ │ └── frames │ ├── real │ │ └── frames │ └── val │ ├── fake │ └── real ├── base_deepfake (1) │ ├── fake │ │ └── frames │ ├── real │ │ └── frames │ └── val │ ├── fake │ └── real ├── both_deepfake (3) │ ├── fake │ │ └── frames │ ├── real │ │ └── frames │ └── val │ ├── fake │ └── real ├── precomputed (4) └── T_deepfake (0) ├── manipulated_sequences │ ├── DeepFakeDetection │ ├── Deepfakes │ ├── Face2Face │ ├── FaceSwap │ └── NeuralTextures └── original_sequences ├── actors └── youtube ``` Notes: * (0) is the dataset downloaded using the FaceForensics repo scripts * (1) is a reshaped version of FaceForensics data to match the expected structure by the codebase. subfolders called `frames` contain frames collected using `ffmpeg` * (2) is the augmented dataset, collected from youtube, available on s3. * (3) is the combination of both base and augmented datasets. * (4) precomputed will be automatically created during training. It holds cashed cropped frames. Then, to run all the experiments we will show in the article to come, you can launch the script `hparams_search.py` using: ```bash python hparams_search.py ``` ## Results In the following pictures, the title for each subplot is in the form `real_prob, fake_prob | prediction | label`. #### Model trained on FaceForensics++ dataset For models trained on the paper dataset alone, we notice that the model only learns to detect the manipulation techniques mentioned in the paper and misses all the manipulations in real world data (from data)   #### Model trained on Youtube dataset Models trained on the youtube data alone learn to detect real world deepfakes, but also learn to detect easy deepfakes in the paper dataset as well. These models however fail to detect any other type of manipulation (such as NeuralTextures).   #### Model trained on Paper + Youtube dataset Finally, models trained on the combination of both datasets together, learns to detect both real world manipulation techniques as well as the other methods mentioned in FaceForensics++ paper.   for a more in depth explanation of these results, please refer to the [article](https://www.dessa.com/post/deepfake-detection-that-actually-works) we published. More results can be seen in the [interactive UI](http://deepfake-detection.dessa.com/projects) ## Help improve this technology Please feel free to fork this work and keep pushing on it. If you also want to help improving the deepfake detection datasets, please share your real/forged samples at foundations@dessa.com. ## LICENSE © 2020 Square, Inc. ATLAS, DESSA, the Dessa Logo, and others are trademarks of Square, Inc. All third party names and trademarks are properties of their respective owners and are used for identification purposes only.
tahsin314 / 40th Place Solution Aptos2019 Blindness DetectionThis repo contains my Pytorch and Fast.ai versions of codes written for the APTOS 2019 Blindness Detection Competition hosted on Kaggle. My approach got us 37th place on the private leaderboard.
williamjsmail / PiranhaThreat-informed defense and cyber threat intelligence (CTI) analysis platform that correlates APT groups, MITRE ATT&CK tactics and techniques, CVEs, and detection data to help analysts prioritize hunts and strengthen defensive posture.
OTRF / BHEU22 ADFSWriting Your Own Ticket to the Cloud Like APT: A Deep-dive to AD FS Attacks, Detections, and Mitigations
s0ld13rr / TarahunterHigh-speed, multi-threaded APT hunting tool designed for lateral movement detection and forensic artifact discovery in Windows environments via SMB.
hastmu / Apt Proxy DetectAuto detection of apt proxies in the LAN, caching and checking status
wangkai-tech23 / TFLAGTFLAG:Towards Practical APT Detection via Deviation-Aware Learning on Temporal Provenance Graph (arXiv:2501.06997)
N3tworkSec / N3tstatIDSLightweight Endpoint Detection & Response (EDR) Framework
