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Dancing is a very impressive challenge by HackTheBox for pacticing hacking skillsContinue reading on Medium » (https://medium.com/@wesecure1337/dancing-starting-point-hackthebox-walkthrough-writeup-7b5ed4c2d923?source=rss------bug_bounty-5)
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Learn about and exploit each of the OWASP Top 10 vulnerabilities; the 10 most…Continue reading on Medium » (https://medium.com/@_Jota_/owasp-top-10-write-up-76e7f68e5a65?source=rss------bug_bounty-5)
Haloo,, Pada kali ini saya akan membagikan sedikit catatan yang telah saya pelajari dalam perjalanan saya belajar Reverse Mobile App…Continue reading on Medium » (https://medium.com/@wicaksonoindra/reverse-code-apk-notes-980846d68915?source=rss------bug_bounty-5)
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Kali Linux Tutorials
Blackbird : An OSINT Tool To Search For Accounts By Username In 101 Social Networks

An OSINT tool to search fast for accounts by username across 142 sites.

The Lockheed SR-71 “Blackbird” is a long-range, high-altitude, Mach 3+ strategic reconnaissance aircraft developed and manufactured by the American aerospace company Lockheed Corporation.

Setup

Clone the repository

git clone https://github.com/p1ngul1n0/blackbird
cd blackbird

Install requirements

pip install -r requirements.txt

Usage

Search by username

python blackbird.py -u username

Run WebServer

python blackbird.py –web

Read results file

python blackbird.py -f username.json

List supportted sites

python blackbird.py –list-sites
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PacketStreamer : Distributed Tcpdump For Cloud Native Environments

PacketStreamer is a high-performance remote packet capture and collection tool. It is used by Deepfence’s ThreatStryker security observability platform to gather network traffic on demand from cloud workloads for forensic analysis.

Primary design goals:

* Stay light, capture and stream, no additional processing
* Portability, works across virtual machines, Kubernetes and AWS Fargate. Linux and Windows

PacketStreamer sensors are started on the target servers. Sensors capture traffic, apply filters, and then stream the traffic to a central reciever. Traffic streams may be compressed and/or encrypted using TLS.

The PacketStreamer receiver accepts PacketStreamer streams from multiple remote sensors, and writes the packets to a local pcapcapture file.

PacketStreamer sensors collect raw network packets on remote hosts. It selects packets to capture using a BPF filter, and forwards them to a central reciever process where they are written in pcap format. Sensors are very lightweight and impose little performance impact on the remote hosts. PacketStreamer sensors can be run on bare-metal servers, on Docker hosts, and on Kubernetes nodes.

The PacketStreamer receiver accepts network traffic from multiple sensors, collecting it into a single, central pcapfile. You can then process the pcap file or live feed the traffic to the tooling of your choice, such as Zeek, WiresharkSuricata, or as a live stream for Machine Learning models.

When to use PacketStreamer

PacketStreamer meets more general use cases than existing alternatives. For example, PacketBeat captures and parses the packets on multiple remote hosts, assembles transactions, and ships the processed data to a central ElasticSearch collector. ksniff captures raw packet data from a single Kubernetes pod.

Use PacketStreamer if you need a lightweight, efficient method to collect raw network data from multiple machines for central logging and analysis.

Quick Start

For full instructions, refer to the PacketStreamer Documentation.

You will need to install the golang toolchain and libpcap-devbefore building PacketStreamer.

Pre-requisites (Ubuntu): sudo apt install golang-go libpcap-dev
git clone https://github.com/deepfence/PacketStreamer.git
cd PacketStreamer/
make

Run a PacketStreamer receiver, listening on port 8081 and writing pcap output to /tmp/dump_file (see receiver.yaml):

./packetstreamer receiver –config ./contrib/config/receiver.yaml

Who uses PacketStreamer?

* Deepfence ThreatStryker uses PacketStreamer to capture traffic from production platforms for forensics and anomaly detection.
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MSA Weekly 5 — “How to Get Sensitive Data Exposure on Web Application”

Sensitive data exposure merupakan jenis kerentanan yang masuk ke dalam kategori A03 di dalam OWASP 2017. Dengan itu, jelas bahwa sensitive…Continue reading on Medium »
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