Binmap is a system scanner; it takes a system or system image and walks through all files, looking for programs and libraries and collecting various information such as dependencies, symbols etc.

It supports ELF and PE formats.

The following packages are needed:

• cmake
• g++
• libboost-python1.55-dev
• libboost-system1.55-dev
• libboost-program-options1.55-dev
• libboost-filesystem1.55-dev
• libboost-regex1.55-dev
• libboost-serialization1.55-dev
• zlib1g-dev
• libssl-dev
• libelfg0-dev

Then run:

$ mkdir _build
$ cd _build
$ cmake ..
$ make

Eventually as root:

$ make install

You need Visual Studio installed & ready. Then:

1. Insall cmake (http://www.cmake.org/cmake/resources/software.html) and make sure it's in your path.
2. Get zlib (http://www.zlib.net/)
3. Get boost (get precompiled binaries http://boost.teeks99.com/)

Then run something like the following:

$ cmake -DBoost_DEBUG=ON -G "Visual Studio 12" -DBoost_USE_STATIC_LIBS=ON -DBOOST_ROOT=D:\Programming\Libraries\boost_1_55_0 -DBOOST_LIBRARYDIR=D:\Programming\Libraries\boost_1_55_0\lib32-msvc-12.0 -DZLIB_LIBRARY=D:\Programming\Libraries\zlib-1.2.8 -DZLIB_INCLUDE_DIR=D:\Programming\Libraries\zlib-1.2.8

Using binmap is a two step process:

1. Scan a directory, for instance:

   $ ./binmap scan -v1 /usr/local -o local.dat

   or, if you want to scan an extracted file system and only include references to this chroot:

   $ ./binmap scan -v1 --chroot ./extracted_fs -o local.dat

   This creates a database containing informations about the binaries that lie in this directory.

2. Dump the database to the dot format:

   $ ./binmap view -i local.dat -o local.dot

   or inspect the database using the Python API described below.

The blobmap module gives a read-only access to the content of a binmap database:

>>> import blobmap

First thing to do is to load a database:

>>> blobs = blobmap.BlobMap('local.dat')

A BlobMap is an ordered container of blobs, in chronologial order, last being the most recent entry:

>>> blob = blobs.last()

A blob is basically a directed graph, where nodes are binaries and edges represent a use dependency---something like this program depends on this library. It can be indexed by paths, as in:

>>> clang_metadata = blob['/usr/local/bin/clang']
>>> print(str(clang_metadata))
clang: 8fcffc4a97cd4aaa1a32938a9e95d3b253476121(13223 exported symbols)(1303 imported symbols)(1 hardening features)

One can access the metadata for each node independently:

>>> clang_metadata.hash
8fcffc4a97cd4aaa1a32938a9e95d3b253476121
>>> clang_metadata.hardening_features
{'fortified'}
>>> help(clang_metadata)
[...]

The graph can be navigated using the successors and predecessors methods:

>>> blob.successors('/usr/local/bin/clang')
{'/lib/x86_64-linux-gnu/libtinfo.so.5',
 '/lib/x86_64-linux-gnu/libz.so.1',
 '/lib32/libc.so.6',
 ...}

It's also possible to make a diff between two blob, in order to gather intel concerning the changes of state of a system:

>>> from blobmap import BlobMap as BM
>>> b = BM('mynewprog.dat')
>>> g1, g0 = [b[k] for k in b.keys()][-2:]
>>> diff = g0.diff(g1)
>>> diff.added
{'/.../libmy1.so'}
>>> diff.removed
{'/.../libmy0.so'}
>>> diff.updated
{'/.../myprog'}

A simple test is to scan yourself:

$ ./binmap scan -v2 ./binmap

or:

$ binmap.exe scan -v2 binmap.exe

For linux users, run CTests:

$ make test

See tools/cross.sh

• Serge Guelton <sguelton@quarkslab.com>
• Sébastien Renaud <srenaud@quarkslab.com>