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IDAtropy.py
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IDAtropy.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# IDAtropy
# last update: 2021/04/12
#
# Daniel Garcia <danigargu [at] gmail.com>
# @danigargu
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
import sys
import math
import zlib
import string
import random
import traceback
import idc
import idautils
import idaapi
from idaapi import Choose
from PyQt5 import QtGui, QtCore, QtWidgets
from PyQt5.QtWidgets import QTextEdit, QTableWidget, QTreeWidget, QCheckBox
from collections import Counter, OrderedDict
try:
import sip
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
from matplotlib.colors import hsv_to_rgb
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
from matplotlib.backend_bases import key_press_handler
except ImportError:
ERROR_MATPLOTLIB = True
PLUG_NAME = "IDAtropy"
def log(msg):
idaapi.msg("[%s] %s\n" % (PLUG_NAME, msg))
def histogram(data):
table = [0]*256
for i in data:
table[i] += 1
return table
def gen_rand_colors(n_colors=20):
""" https://martin.ankerl.com/2009/12/09/how-to-create-random-colors-programmatically/ """
colors = []
golden_ratio_conjugate = 0.618033988749895
h = random.random()
for i in range(n_colors):
h += golden_ratio_conjugate
h %= 1
values = hsv_to_rgb([h, 0.3, 0.95])
res = "#" + ''.join(["%02X" % int(val*256) for val in values])
colors.append(res)
return colors
def entropy_scan(data, block_size=256, step_size=1) :
for block in (data[x:block_size+x] for x in range (0, len(data)-block_size, step_size)):
yield entropy(block)
def entropy(data):
"""Calculate the entropy of a chunk of data."""
if len(data) == 0:
return 0.0
occurences = Counter(bytearray(data))
entropy = 0
for x in occurences.values():
p_x = float(x) / len(data)
entropy -= p_x*math.log(p_x, 2)
return entropy
def calc_compression_ratio(data):
comp = zlib.compress(data)
result = (float(len(comp))/len(data))*100
if result > 100:
result = 100
return result
def get_loaded_bytes(start_addr, size, fill_with="\x00"):
data = ""
cur_ea = start_addr
while cur_ea < (start_addr+size):
if idaapi.is_loaded(cur_ea):
data += chr(idaapi.get_byte(cur_ea))
else:
data += fill_with
cur_ea += 1
return bytes(data, 'latin1')
def get_disk_binary():
data = None
with open(idc.get_input_file_path(), 'rb') as f:
data = f.read()
return data
def load_file_in_segment(filename, seg_name):
last_seg = idaapi.get_last_seg()
seg_start = last_seg.end_ea
data = None
with open(filename, 'rb') as f:
data = f.read()
seg_len = len(data)
if seg_len % 0x1000 != 0:
seg_len = seg_len + (0x1000 - (seg_len % 0x1000))
if idaapi.add_segm(0, seg_start, seg_start+seg_len, seg_name, "DATA"):
idaapi.put_bytes(seg_start, data)
return True
return False
class Config:
chart_type = 0
start_addr = 0
end_addr = 0
use_disk_binary = False
use_debug_memory = False
chart_types = ('Entropy','Histogram')
xrefs = {
"min_entropy": 6.8,
"block_size": 256
}
entropy = {
"all_segments": False,
"block_size": 256,
"step_size": 256,
"segm_exists": False,
"segm_addr": None,
"segm_name": "IDAtropy"
}
class ChartTypes:
ENTROPY = 0
HISTOGRAM = 1
class XrefsEntropy(Choose):
def __init__(self, title, config):
super().__init__(
title, [
["Address", 16 | Choose.CHCOL_HEX],
["Entropy", 10 | Choose.CHCOL_DEC],
["Xrefs", 4 | Choose.CHCOL_HEX],
["Is code", 4 | Choose.CHCOL_DEC],
["Xref Type", 15 | Choose.CHCOL_PLAIN]
]
)
self.title = title
self.items = []
self.icon = 55 # xref icon
self.config = config
self.PopulateItems()
def OnClose(self):
return True
def OnSelectLine(self, n):
item = self.items[int(n)]
idaapi.jumpto(int(item[0], 16))
def OnGetLine(self, index):
return self.items[index]
def OnGetSize(self):
return len(self.items)
def OnDeleteLine(self, n):
del self.items[n]
return n
def OnGetLineAttr(self,n):
pass
def OnRefresh(self, n):
return n
def OnCommand(self, n, cmd_id):
if cmd_id == self.cmd_exclude_code_xrefs:
self.exclude_code_xrefs()
return n
def exclude_code_xrefs(self):
if not len(self.items):
return False
self.items = [i for i in self.items if i[3] != '1']
idaapi.refresh_choosers()
return True
def show(self):
n_items = len(self.items)
if n_items > 0:
b = self.Show()
if b == 0:
self.cmd_exclude_code_xrefs = self.AddCommand("Exclude code xrefs")
return True
else:
idaapi.warning("No xrefs found")
return False
def PopulateItems(self):
min_entropy = self.config['min_entropy']
cur_ea = self.config['start_addr']
idaapi.show_wait_box("Searching xrefs...")
while cur_ea < self.config['end_addr']:
xrefs = list(idautils.XrefsTo(cur_ea))
if len(xrefs) > 0 and xrefs[0].type != idaapi.fl_F: # discard ordinary flow
data = idaapi.get_bytes(cur_ea, self.config['block_size'])
assert len(data) == self.config['block_size']
ent = entropy(data)
if ent >= min_entropy:
self.items.append([
"%08X" % cur_ea,
"%.04f" % ent,
"%d" % len(xrefs),
"%d" % xrefs[0].iscode,
"%s" % idautils.XrefTypeName(xrefs[0].type)
])
cur_ea += 1
idaapi.hide_wait_box()
class Options(QtWidgets.QWidget):
def __init__(self, parent):
super().__init__()
self.parent = parent
self.config = parent.config
self.name = "Options"
self.check_if_segm_exists()
self.create_gui()
def check_if_segm_exists(self):
segm = idaapi.get_segm_by_name(self.config.entropy['segm_name'])
if segm:
self.config.entropy['segm_exists'] = True
self.config.entropy['segm_addr'] = segm.start_ea
else:
self.config.entropy['segm_exists'] = False
self.config.entropy['segm_addr'] = None
def button_chart_on_click(self):
try:
idaapi.show_wait_box("Making chart...")
tab_title = self.get_tab_title()
if self.config.chart_type == ChartTypes.ENTROPY:
if self.config.use_disk_binary and not self.config.entropy['segm_exists']:
msg1 = "Do you want to create new segment with the binary content?\n"
msg2 = "This will allow you to navigate over the file by double-clicking on the chart"
if idaapi.ask_yn(1, "HIDECANCEL\n" + msg1 + msg2) == 1:
self.create_segment_with_binary()
self.parent.tabs.addTab(Entropy(self), tab_title)
elif self.config.chart_type == ChartTypes.HISTOGRAM:
self.parent.tabs.addTab(Histogram(self), tab_title)
except Exception as e:
idaapi.warning("%s" % traceback.format_exc())
idaapi.hide_wait_box()
def button_xrefs_on_click(self):
log("Start address : 0x%08x" % self.config.start_addr)
log("End address : 0x%08x" % self.config.end_addr)
xrefs_config = {
"start_addr": self.config.start_addr,
"end_addr": self.config.end_addr,
"block_size": self.config.xrefs['block_size'],
"min_entropy": float(self.t_min_entropy.text()),
}
choose = XrefsEntropy("%s - XrefsTo" % PLUG_NAME, xrefs_config)
choose.show()
def create_segment_with_binary(self):
segm_name = self.config.entropy['segm_name']
if load_file_in_segment(idc.get_input_file_path(), segm_name):
self.config.segm_exists = True
self.check_if_segm_exists()
def get_chart_type_str(self):
return self.config.chart_types[self.config.chart_type]
def get_tab_title(self):
title = self.get_chart_type_str() + " - "
if self.config.use_disk_binary:
title += "Disk binary"
elif self.config.entropy['all_segments']:
title += "All segments"
else:
segname = idc.get_segm_name(self.config.start_addr)
if segname:
title += "%s " % segname
title += "[0x%08x - 0x%08x]" % (self.config.start_addr, self.config.end_addr)
return title
def get_data(self):
data = None
if self.config.use_disk_binary:
data = get_disk_binary()
else:
data_size = self.config.end_addr - self.config.start_addr
data = idaapi.get_bytes(self.config.start_addr, data_size)
return data
def update_progress_bars(self):
try:
data = self.get_data()
ent = entropy(data)
norm_ent = ent/8*100
comp_ratio = calc_compression_ratio(data)
self.pb_entropy.setValue(norm_ent)
self.pb_entropy.setFormat("%0.2f" % ent)
self.pb_comp_ratio.setValue(comp_ratio)
except FileNotFoundError:
idaapi.warning("Input file doesn't exist: %s" % idc.get_input_file_path())
except Exception as e:
idaapi.warning("%s" % traceback.format_exc())
def update_address(self):
sender = self.sender()
value = sender.text()
if len(value) == 0 or value == "0x":
return
try:
value = int(value, 16)
if sender is self.t_start_addr:
self.config.start_addr = value
elif sender is self.t_end_addr:
self.config.end_addr = value
""" update progress bars """
"""
if self.config.start_addr and self.config.end_addr \
and self.config.start_addr < self.config.end_addr:
self.update_progress_bars()
"""
except ValueError as e:
idaapi.warning("Invalid value for address")
def update_entropy_config(self):
try:
block_size = int(self.t_block_size.text())
step_size = int(self.t_step_size.text())
self.slider_block_s.setValue(block_size)
self.slider_step_s.setValue(step_size)
self.slider_step_s.setMaximum(block_size)
self.config.entropy['block_size'] = block_size
self.config.entropy['step_size'] = step_size
except ValueError:
log("Invalid value")
def create_gui(self):
lbl_start_address = QtWidgets.QLabel("Start address")
self.t_start_addr = QtWidgets.QLineEdit()
self.t_start_addr.setFixedWidth(200)
lbl_end_address = QtWidgets.QLabel("End address")
self.t_end_addr = QtWidgets.QLineEdit()
self.t_end_addr.setFixedWidth(200)
lbl_segment = QtWidgets.QLabel("Segment")
self.cb_segment = QtWidgets.QComboBox()
self.cb_segment.setFixedWidth(200)
lbl_disk_binary = QtWidgets.QLabel("Use disk binary")
self.cb_disk_bin = QtWidgets.QCheckBox()
lbl_chart_type = QtWidgets.QLabel("Chart type")
chart_types_group = self.create_chart_type_group()
""" chunk size """
ent_config = self.config.entropy
lbl_block_size = QtWidgets.QLabel("Block size")
lbl_block_size.setFixedWidth(60)
self.t_block_size = QtWidgets.QLineEdit()
self.t_block_size.setFixedWidth(40)
self.t_block_size.setText("%d" % ent_config['block_size'])
self.t_block_size.setToolTip("Size of the data blocks to calculate entropy")
self.slider_block_s = QtWidgets.QSlider(QtCore.Qt.Horizontal)
self.slider_block_s.setFixedWidth(70)
self.slider_block_s.setMinimum(256)
self.slider_block_s.setMaximum(4096)
self.slider_block_s.setValue(ent_config['block_size'])
self.slider_block_s.setSingleStep(8)
hbox_block_s = QtWidgets.QHBoxLayout()
hbox_block_s.addWidget(lbl_block_size)
hbox_block_s.addWidget(self.t_block_size)
hbox_block_s.addWidget(self.slider_block_s)
""" step size """
lbl_step_size = QtWidgets.QLabel("Step size")
lbl_step_size.setFixedWidth(60)
self.t_step_size = QtWidgets.QLineEdit()
self.t_step_size.setFixedWidth(40)
self.t_step_size.setText("%d" % ent_config['step_size'])
msg1 = "Displacement in bytes between each iteration of entropy.\n"
msg1 += "The step used must be less than or equal to the block size.\n\n"
msg1 += "For example, 1 will get a list of entropies for all data offsets.\n"
msg1 += "Step sizes greater will have less precision and will be normalized\n"
msg1 += "in the mouse events on the chart."
self.t_step_size.setToolTip(msg1)
self.slider_step_s = QtWidgets.QSlider(QtCore.Qt.Horizontal)
self.slider_step_s.setFixedWidth(70)
self.slider_step_s.setMinimum(1)
self.slider_step_s.setMaximum(ent_config['block_size'])
self.slider_step_s.setValue(ent_config['step_size'])
hbox_step = QtWidgets.QHBoxLayout()
hbox_step.addWidget(lbl_step_size)
hbox_step.addWidget(self.t_step_size)
hbox_step.addWidget(self.slider_step_s)
""" All segments """
lbl_all_segments = QtWidgets.QLabel("All segments")
self.cb_all_segments = QtWidgets.QCheckBox()
""" entropy config """
form_entropy = QtWidgets.QFormLayout()
form_entropy.addRow(lbl_all_segments, self.cb_all_segments)
form_entropy.addRow(hbox_block_s)
form_entropy.addRow(hbox_step)
self.groupbox_entropy = QtWidgets.QGroupBox('Entropy chart config')
self.groupbox_entropy.setLayout(form_entropy)
self.groupbox_entropy.setFixedWidth(300)
lbl_min_entropy = QtWidgets.QLabel("Min entropy")
lbl_block_s_xref = QtWidgets.QLabel("Block size")
self.t_min_entropy = QtWidgets.QLineEdit()
self.t_block_s_xrefs = QtWidgets.QLineEdit()
self.t_min_entropy.setFixedWidth(80)
self.t_block_s_xrefs.setFixedWidth(80)
self.t_min_entropy.setText("%.02f" % self.config.xrefs['min_entropy'])
self.t_block_s_xrefs.setText("%d" % self.config.xrefs['block_size'])
form_xrefs = QtWidgets.QFormLayout()
form_xrefs.addRow(lbl_min_entropy, self.t_min_entropy)
form_xrefs.addRow(lbl_block_s_xref, self.t_block_s_xrefs)
groupbox_xrefs = QtWidgets.QGroupBox('Xrefs finder')
groupbox_xrefs.setLayout(form_xrefs)
groupbox_xrefs.setFixedWidth(300)
""" progress bars """
progress_bar_style = """
QProgressBar {
border: 1px solid grey;
border-radius: 2px;
text-align: center;
}
QProgressBar::chunk {
background-color: #BDE99F;
width: 4px;
}"""
lbl_compress_ratio = QtWidgets.QLabel("Compression ratio")
self.pb_comp_ratio = QtWidgets.QProgressBar()
self.pb_comp_ratio.setStyleSheet(progress_bar_style)
self.pb_comp_ratio.setFixedWidth(200)
lbl_entropy = QtWidgets.QLabel("Shannon entropy")
self.pb_entropy = QtWidgets.QProgressBar()
self.pb_entropy.setStyleSheet(progress_bar_style)
self.pb_entropy.setFixedWidth(200)
""" buttons """
self.button_chart = QtWidgets.QPushButton("Draw chart")
self.button_chart.setFixedWidth(100)
self.button_xrefs = QtWidgets.QPushButton("Find Xrefs")
self.button_xrefs.setFixedWidth(100)
hbox_buttons = QtWidgets.QHBoxLayout()
hbox_buttons.addWidget(self.button_chart)
hbox_buttons.addWidget(self.button_xrefs)
""" main form """
main_form = QtWidgets.QFormLayout()
main_form.addRow(lbl_start_address, self.t_start_addr)
main_form.addRow(lbl_end_address, self.t_end_addr)
main_form.addRow(lbl_segment, self.cb_segment)
main_form.addRow(lbl_compress_ratio, self.pb_comp_ratio)
main_form.addRow(lbl_entropy, self.pb_entropy)
main_form.addRow(lbl_disk_binary, self.cb_disk_bin)
main_form.addRow(lbl_chart_type, chart_types_group)
main_form.addRow(self.groupbox_entropy)
main_form.addRow(groupbox_xrefs)
main_form.addRow(hbox_buttons)
main_form.setAlignment(QtCore.Qt.AlignLeft)
""" signals """
self.cb_segment.currentIndexChanged[int].connect(self.cb_segment_changed)
self.cb_all_segments.stateChanged.connect(self.cb_changed)
self.cb_disk_bin.stateChanged.connect(self.cb_changed)
self.button_chart.clicked.connect(self.button_chart_on_click)
self.button_xrefs.clicked.connect(self.button_xrefs_on_click)
for widget in [self.slider_block_s, self.slider_step_s]:
widget.valueChanged.connect(self.slider_valuechanged)
for widget in [self.t_start_addr, self.t_end_addr]:
widget.textChanged.connect(self.update_address)
for widget in [self.t_block_size, self.t_step_size]:
widget.textChanged.connect(self.update_entropy_config)
self.fill_segments()
self.setLayout(main_form)
def slider_valuechanged(self):
sender = self.sender()
value = int(sender.value())
if sender is self.slider_step_s:
self.t_step_size.setText("%d" % value)
self.config.entropy['step_size'] = value
elif sender is self.slider_block_s:
self.t_block_size.setText("%d" % value)
self.config.entropy['block_size'] = value
def cb_changed(self, state):
sender = self.sender()
if sender is self.cb_disk_bin:
checked = (state == QtCore.Qt.Checked)
self.config.use_disk_binary = checked
b_enabled = not checked
self.update_progress_bars()
self.t_start_addr.setEnabled(b_enabled)
self.t_end_addr.setEnabled(b_enabled)
self.cb_segment.setEnabled(b_enabled)
self.cb_all_segments.setEnabled(b_enabled)
elif sender is self.cb_all_segments:
checked = (state == QtCore.Qt.Checked)
self.config.entropy['all_segments'] = checked
self.cb_disk_bin.setEnabled(not checked)
def fill_segments(self):
segments = filter(self.segment_filter, idautils.Segments())
for idx, s_ea in enumerate(segments):
if idx == 0:
self.set_address(idc.get_segm_start(s_ea), idc.get_segm_end(s_ea))
self.cb_segment.addItem(idc.get_segm_name(s_ea), s_ea)
if not segments:
self.set_address(MinEA(), MaxEA())
self.cb_segment.setEnabled(False)
def create_chart_type_group(self):
vbox = QtWidgets.QVBoxLayout()
self.rg_chart_type = QtWidgets.QButtonGroup()
self.rg_chart_type.setExclusive(True)
for i, choice in enumerate(self.config.chart_types):
radio = QtWidgets.QRadioButton(choice)
self.rg_chart_type.addButton(radio, i)
if i == self.config.chart_type:
radio.setChecked(True)
vbox.addWidget(radio)
vbox.addStretch(1)
self.rg_chart_type.buttonClicked.connect(self.bg_graph_type_changed)
return vbox
def bg_graph_type_changed(self, radio):
selected_id = self.rg_chart_type.checkedId()
self.config.chart_type = selected_id
b_enabled = (self.get_chart_type_str() == 'Entropy')
self.groupbox_entropy.setEnabled(b_enabled)
def cb_segment_changed(self, value):
s_ea = self.sender().itemData(value)
self.set_address(idc.get_segm_start(s_ea), idc.get_segm_end(s_ea))
self.update_progress_bars()
def set_address(self, start_addr, end_addr):
self.t_start_addr.setText("0x%x" % start_addr)
self.t_end_addr.setText("0x%x" % end_addr)
def segment_filter(self, s_ea):
""" Discard extern segments """
if idc.get_segm_attr(s_ea, idc.SEGATTR_TYPE) != idc.SEG_XTRN and \
idc.get_segm_name(s_ea) != self.config.entropy['segm_name']:
return True
return False
class Entropy(QtWidgets.QWidget):
def __init__(self, parent):
super().__init__()
self.parent = parent
self.config = parent.config
self.entropy_cfg = self.config.entropy
self.segments = None
self.data = None
self.data_size = None
self.calc_addr_fcn = None
self.make_chart()
def make_chart(self):
if self.entropy_cfg['all_segments']:
self.get_segments_memory()
self.make_segments_chart()
else:
self.get_data()
self.make_normal_chart()
def segment_filter(self, s_ea):
""" Discard extern segments """
if idc.get_segm_attr(s_ea, idc.SEGATTR_TYPE) != idc.SEG_XTRN and \
idc.get_segm_name(s_ea) != self.config.entropy['segm_name']:
return True
return False
def get_data(self):
data = None
if self.config.use_disk_binary:
data = get_disk_binary()
else:
data_size = self.config.end_addr - self.config.start_addr
data = idaapi.get_bytes(self.config.start_addr, data_size)
self.data = data
self.data_size = len(data)
def format_coord_segments(self, x, y):
try:
addr = self.calc_addr_fcn(int(x))
return "0x%08X - %-20s" % (addr, idc.get_segm_name(addr))
except:
return 'bad address'
def get_segments_memory(self):
memory = b""
step_size = self.entropy_cfg['step_size']
segments = OrderedDict()
for ea in filter(self.segment_filter, idautils.Segments()):
seg_name = idc.get_segm_name(ea)
segm = idaapi.get_segm_by_name(seg_name)
data = idaapi.get_bytes(segm.start_ea, segm.size())
assert len(data) == segm.size()
start_offset = len(memory)
end_offset = (start_offset+len(data))
seg_info = {
'segm': segm,
'entropy': entropy(data),
'offsets': [
start_offset ,
end_offset
],
'chart_offsets': [
start_offset // step_size,
end_offset // step_size
]
}
segments[seg_name] = seg_info
memory += data
self.data = memory
self.data_size = len(memory)
self.segments = segments
def calc_point_addr_segments(self, x):
addr = None
for segm_name, segm_info in self.segments.items():
start, end = segm_info['chart_offsets']
if start <= x < end:
norm_x = (x-start) * self.entropy_cfg['step_size']
addr = segm_info['segm'].start_ea + norm_x
break
return addr
def calc_point_addr_normal(self, x):
addr = None
offset = x * self.config.entropy['step_size']
if self.config.use_disk_binary and self.config.entropy['segm_exists']:
addr = self.config.entropy['segm_addr'] + offset
else:
addr = self.config.start_addr + offset
return addr
def segment_changed(self, item):
row = item.row()
col = item.column()
seg_name = item.text()
if (item.checkState() == QtCore.Qt.Checked):
start, end = self.segments[seg_name]['chart_offsets']
aspan = plt.axvspan(start, end, color=self.colors[row % len(self.colors)], alpha=0.6)
self.spans[seg_name] = aspan
else:
if seg_name in self.spans.keys():
self.spans[seg_name].remove()
del self.spans[seg_name]
self.canvas.draw()
def make_segments_chart(self):
segment_names = []
x_axis = []
self.calc_addr_fcn = self.calc_point_addr_segments
for segm_name, seg_info in self.segments.items():
segment_names.append(segm_name)
x_axis.append(seg_info['chart_offsets'][0])
x_limit = self.data_size / self.entropy_cfg['step_size']
self.colors = gen_rand_colors(25)
self.spans = dict()
results = list(entropy_scan(self.data,
self.config.entropy['block_size'],
self.config.entropy['step_size'])
)
blocks = len(results)
min_value, max_value = min(results), max(results)
avg_values = sum(results) / len(results)
#plt.rc('xtick', labelsize=6)
#plt.rc('ytick', labelsize=6)
self.fig = plt.figure(facecolor='white')
ax = plt.subplot(111, facecolor='white')
ax.set_xlabel("byte range / blocks")
ax.set_ylabel("Entropy (E)")
ax2 = ax.twiny()
ax2.set_xlabel("Segments")
ax2.set_xlim(0, x_limit)
ax2.set_xticks(x_axis)
labels = ax2.set_xticklabels(segment_names, rotation=40)
ax.axis([0, blocks, 0, 8])
ax2.format_coord = self.format_coord_segments
plt.plot(results, color="#2E9AFE")
plt.tight_layout()
log("Entropy - Start address: 0x%08x" % self.config.start_addr)
log("Entropy - End address: 0x%08x" % self.config.end_addr)
log("Entropy - Data size: %d bytes (blocks: %d)" % (len(self.data), blocks))
info_str = 'Entropy - Min: %.2f | Max: %.2f | Avg: %.2f' % (min_value, max_value, avg_values)
log(info_str)
del self.data
self.canvas = FigureCanvas(self.fig)
self.toolbar = NavigationToolbar(self.canvas, self)
self.cb_jump_on_click = QtWidgets.QCheckBox("Disable double-click event")
self.cb_jump_on_click.stateChanged.connect(self.disable_jump_on_click)
""" segment table """
self.segments_table = QtWidgets.QTableView()
self.segments_table.setMaximumWidth(200)
self.segments_table.setMaximumHeight(200)
self.segments_table.verticalHeader().hide()
model = QtGui.QStandardItemModel()
model.setHorizontalHeaderLabels(['Segment','Entropy'])
model.setHeaderData(0, QtCore.Qt.Horizontal, QtCore.Qt.AlignJustify, QtCore.Qt.TextAlignmentRole)
self.segments_table.setSelectionMode(QtWidgets.QTableView.SingleSelection)
self.segments_table.setSelectionBehavior(QtWidgets.QTableView.SelectRows)
self.segments_table.setEditTriggers(QtWidgets.QAbstractItemView.NoEditTriggers)
self.segments_table.setModel(model)
for n, seg_name in enumerate(segment_names):
segment_name = QtGui.QStandardItem(seg_name)
segment_entropy = QtGui.QStandardItem("%.03f" % self.segments[seg_name]['entropy'])
model.setItem(n, 0, segment_name)
model.setItem(n, 1, segment_entropy)
segment_name.setCheckable(True)
self.segments_table.horizontalHeader().setStretchLastSection(1);
self.segments_table.resizeRowsToContents()
self.segments_table.resizeColumnsToContents()
self.segments_table.sortByColumn(1, QtCore.Qt.DescendingOrder)
model.itemChanged.connect(self.segment_changed)
lbl_segments = QtWidgets.QLabel("Select a segment to color it")
vbox = QtWidgets.QVBoxLayout(self)
vbox.addWidget(lbl_segments)
vbox.addWidget(self.segments_table)
group = QtWidgets.QGroupBox()
group.setFlat(True)
group.setStyleSheet("border:0")
group.setLayout(vbox)
grid = QtWidgets.QGridLayout()
grid.addWidget(self.canvas, 0, 0, 1, 2)
grid.addWidget(group, 0, 3, QtCore.Qt.AlignCenter)
grid.addWidget(self.toolbar, 1, 0)
grid.addWidget(self.cb_jump_on_click, 2, 0)
self.cid = self.fig.canvas.mpl_connect('button_press_event', self.on_click)
self.setLayout(grid)
def on_click(self, event):
if event.dblclick and event.xdata:
addr = self.calc_addr_fcn(int(event.xdata))
if addr:
idaapi.jumpto(addr)
else:
idaapi.warning("Unable to calculate the address")
def format_coord_normal(self, x, y):
try:
if self.config.use_disk_binary or self.entropy_cfg['segm_exists']:
addr = int(x) * self.config.entropy['step_size']
return "Offset : 0x%08x %-30s" % (addr, "")
else:
addr = self.calc_addr_fcn(int(x))
return "0x%08x - %-30s" % (addr, idc.get_segm_name(addr))
except:
pass
return "bad address"
def make_normal_chart(self):
blocks = self.data_size / self.entropy_cfg['block_size']
self.calc_addr_fcn = self.calc_point_addr_normal
results = list(entropy_scan(self.data,
self.entropy_cfg['block_size'],
self.entropy_cfg['step_size'])
)
min_value, max_value = min(results), max(results)
avg_values = sum(results) / len(results)
self.fig = plt.figure(facecolor='white')
ax = plt.subplot(111, facecolor='white')
ax.axis([0, len(results), 0, 8])
ax.format_coord = self.format_coord_normal
plt.plot(results, color="#2E9AFE")
log("Entropy - Start address: 0x%08x" % self.config.start_addr)
log("Entropy - End address: 0x%08x" % self.config.end_addr)
log("Entropy - Data size: %d bytes (blocks: %d)" % (self.data_size, blocks))
info_str = 'Entropy - Min: %.2f | Max: %.2f | Avg: %.2f' % (min_value, max_value, avg_values)
log(info_str)
del self.data
plt.xlabel('Byte range')
plt.ylabel('Entropy')
plt.title('Entropy levels')
self.canvas = FigureCanvas(self.fig)
self.toolbar = NavigationToolbar(self.canvas, self)
self.line_edit = QtWidgets.QLineEdit()
self.cb_jump_on_click = QtWidgets.QCheckBox("Disable double-click event")
self.cb_jump_on_click.stateChanged.connect(self.disable_jump_on_click)
grid = QtWidgets.QGridLayout()
grid.addWidget(self.canvas, 0, 0)
grid.addWidget(self.toolbar, 1, 0)
if not self.config.use_disk_binary or self.entropy_cfg['segm_exists']:
grid.addWidget(self.cb_jump_on_click, 2, 0)
self.cid = self.fig.canvas.mpl_connect('button_press_event', self.on_click)
self.setLayout(grid)
def disable_jump_on_click(self, state):
if state == QtCore.Qt.Checked:
self.fig.canvas.mpl_disconnect(self.cid)
else:
self.cid = self.fig.canvas.mpl_connect('button_press_event', self.on_click)
class TableItem(QtWidgets.QTableWidgetItem):
class ItemType:
DEC = 0
HEX = 1
FLOAT = 2
TEXT = 3
def __init__(self, text, item_type):
super().__init__(text, QtWidgets.QTableWidgetItem.UserType)
self.setFlags(QtCore.Qt.ItemIsEnabled)
self.item_type = item_type
self.text = text
def __lt__(self, other):
if self.item_type == self.ItemType.DEC:
return int(self.text) < int(other.text)
elif self.item_type == self.ItemType.HEX:
return int(self.text, 16) < int(other.text, 16)
elif self.item_type == self.ItemType.FLOAT:
data = float(self.text.replace("%", ""))
other_data = float(other.text.replace("%", ""))
return data < other_data
elif self.item_type == self.ItemType.TEXT:
return self.text < other.text
else:
raise TypeError("The ItemType specified is not supported")
class Histogram(QtWidgets.QWidget):
def __init__(self, parent):
super().__init__()
self.parent = parent
self.config = parent.config
self.data = None
self.data_size = None
self.get_data()
self.make_histogram()
def get_data(self):
data = None
if self.config.use_disk_binary:
data = get_disk_binary()
else:
data_size = self.config.end_addr - self.config.start_addr
data = get_loaded_bytes(self.config.start_addr, data_size, "")
self.data = data
self.data_size = len(data)
def format_coord(self, x, y):
try:
value = int(x)
return "value: %d | count: %-30s" % (value, self.counter[value])
except:
pass
return "bad value"
def make_histogram(self):
self.counter = histogram(self.data)
self.counts = [round(100*float(byte_count)/self.data_size, 2) for byte_count in self.counter]
top_y = math.ceil(max(self.counts)*10.0)/10.0
del self.data
self.create_table()
fig = plt.figure(facecolor='white')
ax = plt.subplot(111, facecolor='white')
control_bytes = 0
whitespace_bytes = 0