Seq2Seq for Web Attack Detection
https://github.com/PositiveTechnologies/seq2seq-web-attack-detection/blob/master/slides/detecting_web_attacks_rnn.pdf
https://aivillage.org/posts/detecting-web-attacks-rnn/
https://github.com/PositiveTechnologies/seq2seq-web-attack-detection/blob/master/slides/detecting_web_attacks_rnn.pdf
https://aivillage.org/posts/detecting-web-attacks-rnn/
GitHub
seq2seq-web-attack-detection/detecting_web_attacks_rnn.pdf at master · PositiveTechnologies/seq2seq-web-attack-detection
The implementation of the Seq2Seq model for web attack detection. The Seq2Seq model is usually used in Neural Machine Translation. The main goal of this project is to demonstrate the relevance of t...
The Doodle Master seeks to turn your UI mockups into real code. Currently this repository just serves to demonstrate a Proof Of Concept of Artificially Intelligent Design Tools.
https://github.com/karanchahal/DoodleMaster
https://github.com/karanchahal/DoodleMaster
GitHub
GitHub - karanchahal/DoodleMaster: "Don't code your UI, Draw it !"
"Don't code your UI, Draw it !". Contribute to karanchahal/DoodleMaster development by creating an account on GitHub.
Denis Kolegov, Oleg Broslavsky, "WebGoat.SDWAN.Net in Depth"
En He, Jiashui Wang "Hacking Android VoIP for Fun and Profit!"
Gmliu, "Windows Kernel Fuzzing"
Jaanus Kääp, "Document parsers "research" as passive income"
Jiafeng Li, Zuotong Feng, "How to Exploit Blockchain Public Chain and Smart Contract Vulnerability"
Jin Liu & Chong Xu, "Pwning Microsoft Edge Browser: From Memory Safety Vulnerability to Remote Code Execution"
Kang Li, "Practical evading attacks on commercial AI image recognition services"
Lidong LI & Naijie XU, "802.11 Smart Fuzzing"
Ned Williamson, "Exploiting Chrome IPC"
Nikita Tarakanov, "Automating Windows Kernel Pool Overflow/Corruption Exploits Development"
Samuel Groß, "IPC MitM: Exploiting a Fun Logic Bug for Kernel-Mode Code Execution on MacOS"
Tielei Wang, Hao Xu, "IOService Becomes a Grandpa"
Yannay Livneh, "Baby I can drive your car: remotely hacking Telematics CAN-connected devices"
Yunhai Zhang, "Diving into Windows Defender Application Guard"
En He, Jiashui Wang "Hacking Android VoIP for Fun and Profit!"
Gmliu, "Windows Kernel Fuzzing"
Jaanus Kääp, "Document parsers "research" as passive income"
Jiafeng Li, Zuotong Feng, "How to Exploit Blockchain Public Chain and Smart Contract Vulnerability"
Jin Liu & Chong Xu, "Pwning Microsoft Edge Browser: From Memory Safety Vulnerability to Remote Code Execution"
Kang Li, "Practical evading attacks on commercial AI image recognition services"
Lidong LI & Naijie XU, "802.11 Smart Fuzzing"
Ned Williamson, "Exploiting Chrome IPC"
Nikita Tarakanov, "Automating Windows Kernel Pool Overflow/Corruption Exploits Development"
Samuel Groß, "IPC MitM: Exploiting a Fun Logic Bug for Kernel-Mode Code Execution on MacOS"
Tielei Wang, Hao Xu, "IOService Becomes a Grandpa"
Yannay Livneh, "Baby I can drive your car: remotely hacking Telematics CAN-connected devices"
Yunhai Zhang, "Diving into Windows Defender Application Guard"
1711.09666.pdf
114.9 KB
DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural Networks
Forwarded from Br0wSec (Andrey Kovalev)
Моя презентация c ZeroNights 2018 про то, как начать ломать браузеры, а также о том, какие баги в них сейчас ищут, доступна online: https://goo.gl/LhiYdP.
https://github.com/jivoi/awesome-ml-for-cybersecurity
A curated list of amazingly awesome tools and resources related to the use of machine learning for cyber security.
A curated list of amazingly awesome tools and resources related to the use of machine learning for cyber security.
GitHub
GitHub - jivoi/awesome-ml-for-cybersecurity: Machine Learning for Cyber Security
:octocat: Machine Learning for Cyber Security. Contribute to jivoi/awesome-ml-for-cybersecurity development by creating an account on GitHub.
Amazon представил свою платформу для запуска блокчейн сетей https://aws.amazon.com/ru/managed-blockchain/
Amazon
Масштабируемая блокчейн-сеть – Управляемый блокчейн Amazon – AWS
Используйте Управляемый блокчейн Amazon (AMB) для создания масштабируемой блокчейн-сети без каких-либо специализированных инвестиций в инфраструктуру.