NET.ACC is the User Accounts System (UAS) database file from OS/2 Microsoft LAN Manager 2.0 Primary Domain Controllers. It is the direct predecessor of the Windows NT SAM registry hive.
| Property | Value |
|---|---|
| Signature | MICROSOFT LANMAN (16 bytes at offset 0) |
| Version | 2.0 (at offset 0x10) |
| 70.16.139.34 | |
| 46.62.237.138 | |
| 172.218.248.80 | |
| 74.75.78.104 | |
| 81.2.78.130 | |
| 59.128.207.105 | |
| 207.191.142.184 | |
| 71.185.35.254 | |
| 89.17.4.216 | |
| 67.4.228.227 |
| import requests | |
| import argparse | |
| import csv | |
| from urllib.parse import urljoin | |
| from datetime import datetime | |
| import airportsdata | |
| airports = airportsdata.load("IATA") | |
| def get_icao_code(iata_code): |
| # Builder | |
| FROM ghcr.io/hugomods/hugo:dart-sass AS build | |
| ARG GH_ACCESS_TOKEN | |
| WORKDIR /tmp/hugo | |
| COPY . . | |
| RUN apk add --no-cache make && git config --global url.https://${GH_ACCESS_TOKEN}@github.com/.insteadOf https://github.com/ && make build | |
| # Ngnix container with site | |
| FROM nginx:alpine-slim | |
| WORKDIR /usr/share/nginx/html |
| #!/usr/bin/env python3 | |
| """ | |
| Scrapes for phlebotomy appointments at St Helens & Knowsley Teaching Hospitals locations. | |
| The local NHS trust uses Simplybook to manage their bloods appointment, and | |
| unfortunatly the Web UI for doing this is slow and unreliable. It can take | |
| upwards of 5-10 minutes to check for available appointments at each location. | |
| This script scrapes the API to provide a list of the next available appointment | |
| at each location, saving time when hunting for one. |
| DECIMAL HEXADECIMAL DESCRIPTION | |
| -------------------------------------------------------------------------------- | |
| 84792 0x14B38 CRC32 polynomial table, little endian | |
| 86716 0x152BC xz compressed data | |
| 131072 0x20000 uImage header, header size: 64 bytes, header CRC: 0xB07BDC72, created: 2023-11-05 19:22:42, image size: 104304 bytes, Data Address: 0x0, Entry Point: 0x0, data CRC: 0xA4DFAB1B, OS: Firmware, CPU: ARM, image type: OS Kernel Image, compression type: lzma, image name: "MVX4##I6B0gf3a2dcfCM_UBT1501#XVM" | |
| 131136 0x20040 xz compressed data | |
| 327680 0x50000 uImage header, header size: 64 bytes, header CRC: 0x53A646C, created: 2023-11-12 23:19:25, image size: 1855208 bytes, Data Address: 0x20008000, Entry Point: 0x20008000, data CRC: 0x25417C70, OS: Linux, CPU: ARM, image type: OS Kernel Image, compression type: none, image name: "Linux-4.9.84-ssc333" | |
| 342619 0x53A5B xz compressed data | |
| 342953 0x53BA9 |
openpgp4fpr:AED7F07FE3A146A280CADB6686DAB9F71FF20A3A
| esphome: | |
| name: "${devicename}" | |
| comment: "${device_description}" | |
| build_path: "${devicename}" | |
| wifi: | |
| ssid: !secret wifi_ssid | |
| password: !secret wifi_password | |
| domain: !secret wifi_domain | |
| fast_connect: true |
| #!/usr/bin/env python3 | |
| """ | |
| Miniflux2OPML | |
| A tool designed to extract a user's OPML file from a Miniflux installation, | |
| with added support for outputting the OPML into JSON. | |
| Copyright 2022 Andrew Williams | |
| License: MIT | |
| """ |