Exemple usage of IPyIDA 2.0 Notebook integration

ipyida_examples.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e2447b05",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "DeprecationWarning: Support for PyQt5 is deprecated and will be removed in Pillow 10 (2023-07-01). Use PyQt6 or PySide6 instead.\n",
      "  from PIL import ImageQt\n"
     ]
    }
   ],
   "source": [
    "import idaapi\n",
    "import struct\n",
    "from cryptography.hazmat.primitives.ciphers import Cipher, algorithms\n",
    "from PIL import ImageQt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e56c5813",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0xb8600 (strings_len)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min_ea = idaapi.get_inf_structure().min_ea\n",
    "idaapi.get_name_ea(min_ea, \"strings_len\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "10bfbec4",
   "metadata": {},
   "outputs": [],
   "source": [
    "strings_len = struct.unpack(\"I\" * 18, idaapi.get_bytes(_, 18*4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a4c35ce1",
   "metadata": {},
   "outputs": [],
   "source": [
    "key = idaapi.get_bytes(idaapi.get_name_ea(min_ea, \"strings_rc4_key\"), 16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8d66ecaf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "00000000: AE 0E 05 09 0F 3A C2 B5  0B 1B C6 E9 1D 2F E3 CE |.    :..  .. /..|\n"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "key"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "bbb84e04",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "00000000: C1 32 93 4C 50 00 00 00  00 00 00 00 CB 25 D6 1F |.2.LP       .%. |\n",
       "00000010: 0C 93 F6 0F 76 00 00 00  94 35 D6 04 00 00 00 00 | .. v   .5.     |\n",
       "00000020: 00 00 00 00 88 25 C7 0C  51 8E 00 00 00 00 00 00 |    .%. Q.      |\n",
       "00000030: 90 35 D0 06 4E 93 E3 16  00 00 00 00 CB 25 D6 1F |.5. N..     .%. |\n",
       "00000040: 0C 97 F6 1B 00 00 00 00  C1 32 00 00 00 00 00 00 | ..     .2      |\n",
       "00000050: 00 00 00 00 C1 25 00 00  00 00 00 00 00 00 00 00 |    .%          |\n",
       "00000060: CB 00 00 00 00 00 00 00  00 00 00 00 B8 00 00 00 |.           .   |\n",
       "00000070: 00 00 00 00 00 00 00 00  C1 25 9D 4C 47 00 00 00 |        .%.LG   |\n",
       "00000080: 00 00 00 00 93 28 DD 5A  0D D2 B3 00 00 00 00 00 |    .(.Z ..     |\n",
       "00000090: 93 28 DD 50 16 00 00 00  00 00 00 00 93 28 DD 27 |.(.P        .(.'|\n",
       "000000A0: 77 00 00 00 00 00 00 00  93 28 DD 56 1C 00 00 00 |w       .(.V    |\n",
       "000000B0: 00 00 00 00 B8 1D 9D 35  53 8A F2 07 52 EB 00 00 |    . .5S.. R.  |\n",
       "000000C0: C1 32 93 4C 50 CD A7 11  00 00 00 00 CB 25 D6 1F |.2.LP..     .%. |\n",
       "000000D0: 0C 93 F6 01 00 00 00 00                          | ..             |\n"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idaapi.get_bytes(idaapi.get_name_ea(min_ea, \"encrypted_strings\"), 18 * 12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5db8ee3c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[b'%s %s',\n",
       " b'/dev/ptmx',\n",
       " b'ptem',\n",
       " b'ldterm',\n",
       " b'ttcompat',\n",
       " b'/dev/tty',\n",
       " b'%s',\n",
       " b'%d',\n",
       " b'/',\n",
       " b'\\\\',\n",
       " b'%d.%d',\n",
       " b'win3.11',\n",
       " b'win95',\n",
       " b'winNT',\n",
       " b'win??',\n",
       " b'\\\\\\\\.\\\\pipe\\\\2',\n",
       " b'%s %s.%s',\n",
       " b'/dev/ptc']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def rc4(key: bytes, data: bytes) -> bytes:\n",
    "    return Cipher(algorithms.ARC4(key), mode=None).decryptor().update(data)\n",
    "[ rc4(key, _[i*12:i*12+length]) for i, length in enumerate(strings_len) ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ac3f36ff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=792x654>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ImageQt.fromqpixmap(idaapi.PluginForm.FormToPyQtWidget(idaapi.find_widget(\"Graph overview\")).grab())"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Existing session",
   "language": "python",
   "name": "proxy"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}