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@tmr232
Created May 10, 2015 13:15
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View screenshots of xrefs inside the IPython shell
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{
"metadata": {
"name": "",
"signature": "sha256:1a0b65dc7e662dd9fc58a713d9c6a3893dbc6f665b2e52760c96a1b62ac2d02a"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Display Xrefs in the Notebook"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"First, we import all the required modules:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import sark\n",
"import sark.qt\n",
"import idaapi\n",
"from IPython import display"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"After importing the modules, we define a function to display screenshots of addresses in IDA.\n",
"\n",
"The function uses [Sark](https://github.com/tmr232/Sark)'s `qt` module to get the Qt widget in the IDA view, then capture an image from it."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def show_ea(ea, width=600, height=600, ida_title=\"IDA View-A\", path=r\"C:\\temp\\show_ea_temp.png\"):\n",
" # Get and resize the widget\n",
" widget = sark.qt.get_widget(ida_title)\n",
" sark.qt.resize_widget(widget, width, height)\n",
" \n",
" # Make sure the correct address is displayed. Note that this does not move the view if\n",
" # the cursor is already at this address!\n",
" idaapi.jumpto(ea)\n",
" \n",
" # Capture an image of the widget\n",
" sark.qt.capture_widget(widget, path)\n",
" \n",
" # Return it for IPython to display\n",
" return display.Image(filename=path)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 7
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For this demo, we are using the `_memcpy()` function inside `msvcr100.dll`."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"memcpy = sark.Function(name=\"_memcpy\")"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 14
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We create a `views` iterator to easily move between references to `_memcpy()`."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"views = (show_ea(ref.frm) for ref in memcpy.xrefs_to)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 8
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As we iterate through our `views` object, the code is displayed!"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"views.next()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
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Kqco//MlnVMqXNJpa05fuP6633DFZPbh+4/uv0xeu36fSE99SOV9WqVDSj579Tecbr1/l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\nSc6Fsauvyfk/rHPy2IClQ58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"prompt_number": 9,
"text": [
"<IPython.core.display.Image at 0xf3d1fd0>"
]
}
],
"prompt_number": 9
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"views.next()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"png": 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KrR/o9g95q6jtw7IO/1l/TPZ/29tHze/5C/r8In+oYAEARsY+/6noJyR1OjN+Gi5VhPgR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\nmnWl/jrbF1ZlfwRrJ+YO+rp94eCxNBqqra0NeaC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"prompt_number": 11,
"text": [
"<IPython.core.display.Image at 0xf3e4ef0>"
]
}
],
"prompt_number": 11
}
],
"metadata": {}
}
]
}
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