html.ipynb

html.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyMHNCVBhjLVeRB9Jzb26IYz",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/rezamarzban/7660f13d53477ec2467bbc3372575a44/html.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "kqNmLyhTueqn"
      },
      "outputs": [],
      "source": [
        "\n",
        "import hashlib\n",
        "import itertools\n",
        "from tqdm import tqdm\n",
        "\n",
        "def calculate_checksum(string):\n",
        "    return hashlib.sha256(string.encode()).hexdigest()\n",
        "\n",
        "def generate_strings_with_checksum(target_checksum, characters, string_length):\n",
        "    for candidate in itertools.product(characters, repeat=string_length):\n",
        "        candidate_str = ''.join(candidate)\n",
        "        checksum = calculate_checksum(candidate_str)\n",
        "        if checksum == target_checksum:\n",
        "            return candidate_str\n",
        "    return None\n",
        "\n",
        "# Read target checksums from a text file\n",
        "results = []\n",
        "with open('checksums.md5', 'r') as file:\n",
        "    lines = file.readlines()\n",
        "    for line in tqdm(lines, desc=\"Processing\"):\n",
        "        target_checksum = line.strip()\n",
        "        characters = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789!@#$%^&*()-_+=[]{}|;:,.<>?/~`\" '\n",
        "        string_length = 3\n",
        "        string = generate_strings_with_checksum(target_checksum, characters, string_length)\n",
        "        if string is not None:\n",
        "            results.append(string)\n",
        "\n",
        "# Print the results in a single line without spaces\n",
        "final = \"\".join(results)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "from IPython.display import HTML\n",
        "import base64\n",
        "\n",
        "html_text = base64.b64decode(final).decode(\"utf-8\")\n",
        "\n",
        "display(HTML(html_text))"
      ],
      "metadata": {
        "id": "NAwEsWnGujK3"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}