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A library to parse gdb mi output and interact with gdb subprocesses

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cs01/pygdbmi

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Test statusPyPI version

Documentationhttps://cs01.github.io/pygdbmi

Source Codehttps://github.com/cs01/pygdbmi


Python (py)gdb machine interface(mi)

GDB/MI is a line based machine oriented text interface to GDB and is activated by specifying using the --interpreter command line option (see Mode Options). It is specifically intended to support the development of systems which use the debugger as just one small component of a larger system.

What's in the box?

  1. A function to parse gdb machine interface string output and return structured data types (Python dicts) that are JSON serializable. Useful for writing the backend to a gdb frontend. For example,gdbgui uses pygdbmi on the backend.
  2. A Python class to control and interact with gdb as a subprocess

To getmachine interface output from gdb, run gdb with the--interpreter=mi2 flag like so:

gdb --interpreter=mi2

Installation

pip install pygdbmi

Compatibility

Operating Systems

Cross platform support for Linux, macOS and Windows

  • Linux/Unix

    Ubuntu 14.04 and 16.04 have been tested to work. Other versions likely work as well.

  • macOS

    Note: the errorplease check gdb is codesigned - see taskgated(8) can be fixed by codesigning gdb withthese instructions. If the error is not fixed, pleasecreate an issue in github.

  • Windows

    Windows 10 has been tested to work with MinGW and cygwin.

gdb versions

  • gdb 7.6+ has been tested. Older versions may work as well.

Examples

gdb mi defines a syntax for its output that is suitable for machine readability and scripting:example output:

-> -break-insert main<- ^done,bkpt={number="1",type="breakpoint",disp="keep",enabled="y",addr="0x08048564",func="main",file="myprog.c",fullname="/home/myprog.c",line="68",thread-groups=["i1"],times="0"}<- (gdb)

Usepygdbmi.gdbmiparser.parse_response to turn that string output into a JSON serializable dictionary

frompygdbmiimportgdbmiparserfrompprintimportpprintresponse=gdbmiparser.parse_response('^done,bkpt={number="1",type="breakpoint",disp="keep", enabled="y",addr="0x08048564",func="main",file="myprog.c",fullname="/home/myprog.c",line="68",thread-groups=["i1"],times="0"')pprint(response)pprint(response)# Prints:# {'message': 'done',#  'payload': {'bkpt': {'addr': '0x08048564',#                       'disp': 'keep',#                       'enabled': 'y',#                       'file': 'myprog.c',#                       'fullname': '/home/myprog.c',#                       'func': 'main',#                       'line': '68',#                       'number': '1',#                       'thread-groups': ['i1'],#                       'times': '0',#                       'type': 'breakpoint'}},#  'token': None,#  'type': 'result'}

Programmatic Control Over gdb

But how do you get the gdb output into Python in the first place? If you want,pygdbmi also has a class to control gdb as subprocess. You can write commands, and get structured output back:

frompygdbmi.gdbcontrollerimportGdbControllerfrompprintimportpprint# Start gdb processgdbmi=GdbController()print(gdbmi.command)# print actual command run as subprocess# Load binary a.out and get structured responseresponse=gdbmi.write('-file-exec-file a.out')pprint(response)# Prints:# [{'message': 'thread-group-added',#   'payload': {'id': 'i1'},#   'stream': 'stdout',#   'token': None,#   'type': 'notify'},#  {'message': 'done',#   'payload': None,#   'stream': 'stdout',#   'token': None,#   'type': 'result'}]

Now do whatever you want with gdb. All gdb commands, as well as gdb machine interface commands are acceptable. gdb mi commands give better structured output that is machine readable, rather than gdb console output. mi commands begin with a-.

response=gdbmi.write('-break-insert main')# machine interface (MI) commands start with a '-'response=gdbmi.write('break main')# normal gdb commands work too, but the return value is slightly differentresponse=gdbmi.write('-exec-run')response=gdbmi.write('run')response=gdbmi.write('-exec-next',timeout_sec=0.1)# the wait time can be modified from the default of 1 secondresponse=gdbmi.write('next')response=gdbmi.write('next',raise_error_on_timeout=False)response=gdbmi.write('next',raise_error_on_timeout=True,timeout_sec=0.01)response=gdbmi.write('-exec-continue')response=gdbmi.send_signal_to_gdb('SIGKILL')# name of signal is okayresponse=gdbmi.send_signal_to_gdb(2)# value of signal is okay tooresponse=gdbmi.interrupt_gdb()# sends SIGINT to gdbresponse=gdbmi.write('continue')response=gdbmi.exit()

Parsed Output Format

Each parsed gdb response consists of a list of dictionaries. Each dictionary has keysmessage,payload,token, andtype.

  • message contains a textual message from gdb, which is not always present. When missing, this isNone.
  • payload contains the content of gdb's output, which can contain any of the following:dictionary,list,string. This too is not always present, and can beNone depending on the response.
  • token If an input command was prefixed with a (optional) token then the corresponding output for that command will also be prefixed by that same token. This field is only present for pygdbmi output typesnofity andresult. When missing, this isNone.

Thetype is defined based on gdb's various mi output record types, and can be

  • result - the result of a gdb command, such asdone,running,error, etc.
  • notify - additional async changes that have occurred, such as breakpoint modified
  • console - textual responses to cli commands
  • log - debugging messages from gdb's internals
  • output - output from target
  • target - output from remote target
  • done - when gdb has finished its output

Contributing

Documentation fixes, bug fixes, performance improvements, and functional improvements are welcome. You may want to create an issue before beginning work to make sure I am interested in merging it to the master branch.

pygdbmi usesnox for automation.

See available tasks with

nox -l

Run tests and lint with

nox -s testsnox -s lint

Positional arguments passed tonox -s tests are passed directly topytest. For instance, to run only the parse tests use

nox -s tests -- tests/test_gdbmiparser.py

Seepytest's documentation for more details on how to run tests.

To format code using the correct settings use

nox -s format

Or, to format only specified files, use

nox -s format -- example.py pygdbmi/IoManager.py

Making a release

Only maintainers of thepygdbmi package on PyPi can make a release.

In the following steps, replace these strings with the correct values:

  • <REMOTE> is the name of the remote for the main pygdbmi repository (for instance,origin)
  • <VERSION> is the version number chosen in step 2.

To make a release:

  1. Checkout themaster branch and pull from the main repository withgit pull <REMOTE> master

  2. Decide the version number for the new release; we followSemantic Versioning but prefixing the version with0.: given a versionnumber0.SECOND.THIRD.FOURTH, increment the:

    • SECOND component when you make incompatible API changes
    • THIRD component when you add functionality in a backwards compatible manner
    • FOURTH component when you make backwards compatible bug fixes
  3. UpdateCHANGELOG.md to list the chosen version number instead of## dev

  4. Update__version__ inpygdbmi/__init__.py to the chosen version number

  5. Create a branch, for instance usinggit checkout -b before-release-<VERSION>

  6. Commit your changes, for instance usinggit commit -a -m 'Bump version to <VERSION> for release'

  7. Check that the docs look fine by serving them locally withnox -s serve_docs

  8. Push the branch, for instance withgit push --set-upstream <REMOTE> before-release-<VERSION>

  9. If tests pass on the PR you created, you can merge intomaster

  10. Go to thenew release page and prepare therelease:

    • Add a tag in the formv<VERSION> (for examplev0.1.2.3)
    • Set the title topygdbmi v<VERSION> (for examplepygdbmi v0.1.2.3)
    • Copy and paste the section for the new release only fromCHANGELOG.md excluding the linewith the version number
    • Press “Publish release”
  11. Publish the release to PyPI withnox -s publish

  12. Publish the docs withnox -s publish_docs

  13. Verify that thePyPi page for pygdbmi looks correct

  14. Verify that thepublished docs look correct

  15. Prepare for changes for the next release by adding something like this above the previousentries inCHANGELOG.md (where<VERSION+1> is<VERSION> with the last digit increadedby 1):

    ## <VERSION+1>.dev0- *Replace this line with new entries*
  16. Create a branch for the changes withgit checkout -b after-release-<VERSION>

  17. Commit the change withgit commit -m 'Prepare for work on the next release' CHANGELOG.md

  18. Push the branch withgit push --set-upstream <REMOTE> after-release-<VERSION>

  19. If tests pass, merge intomaster

Similar projects

Projects Using pygdbmi

  • gdbgui implements a browser-based frontend to gdb, using pygdbmi on the backend
  • PINCE is a gdb frontend that aims to provide a reverse engineering tool and a reusable library focused on games. It uses pygdbmi to parse gdb/mi based output for some functions
  • avatar² is an orchestration framework for reversing and analysing firmware of embedded devices. It utilizes pygdbmi for internal communication to different analysis targets.
  • UDB is a proprietary time-travel debugger for C and C++ based on GDB. It uses pygdbmi in its extensive test suite to parse the debugger's output.
  • pwndbg-gui is a user-friendly graphical interface forpwndbg, a tool that simplifies exploit development and reverse engineering with GDB. It uses pygdbmi to interact with GDB and get structured responses.
  • Know of another project? Create a PR and add it here.

Authors


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