rpp0

gr-lora. GNU Radio blocks for receiving LoRa modulated radio messages using SDR

aggr-inject. Remote frame injection PoC by exploiting a standard compliant A-MPDU aggregation vulnerability in 802.11n networks.

scapy-fakeap. Fake wireless Access Point (AP) implementation using Python and Scapy, intended for convenient testing of 802.11 protocols and implementations.

emma. ElectroMagnetic Mining Array. A tool for the distributed analysis of electromagnetic radiation in context of cryptographic side-channel attacks.

wifi-mac-tracking. Code and datasets for the paper entitled "Non-cooperative 802.11 MAC layer fingerprinting and tracking of mobile devices".

peapwn. Proof-of-concept implementation of the Apple relay attack in Python

lora-phy-fingerprinting. Code for the paper entitled "Physical-Layer Fingerprinting of LoRa devices using Supervised and Zero-Shot Learning".

python-loranode. Python 3 bindings for interfacing with LoRa nodes.

gr-lora-samples. Raw LoRa test signal samples for the gr-lora project.

lora-decoder-paper. Datasets and code for the paper entitled "A Multi-Channel Software Decoder for the LoRa Modulation Scheme".

em-operation-extraction. Practical Operation Extraction from Electromagnetic Leakage for Side-Channel Analysis and Reverse Engineering

gr-gsm. Gnuradio blocks and tools for receiving GSM transmissions

correlation-optimization-paper. Datasets and code for the paper entitled "Improving CEMA using Correlation Optimization".

open-ath9k-htc-firmware. Fixed rate and other modifications to the original open-ath9k-htc-firmware. Aimed at providing useful 802.11 debugging / testing tools for researchers.

em-nodemcu-firmware. Modified version of the nodemcu-firmware project, suited for analyzing electromagnetic emanations of operations executed on the device. See https://github.com/rpp0/em-operation-extraction.

python-pcapng. Python library to parse the pcap-ng format used by newer versions of dumpcap & similar tools.

gradle-kotlin-example. An example Hello World project written in Kotlin, using IntelliJ IDEA, Gradle, and JAR Artifacts.