firstblood

Write exploit faster with up-to-date python 3


Licenses
GPL-3.0+/OML
Install
pip install firstblood==0.0.1

Documentation

FirstBlood

I'm not writing production scripts, I just want to get the firstblood.

This is a python 3 library which will add some method to builtin objects, and provide some useful utilities.

It's still WIP and needs a lot of refactoring.

WARNING: THIS LIBRARY MAY CHANGE THE BEHAVIOR OF PYTHON, WHICH SHOULD NOT BE USED IN PRODUCTION ENVIRONMENT.

TOC

  • Bytes, String and Hash
  • Method Chaining
  • Iterable
  • Function
  • Integer and Modulo
  • Object
  • JSON
  • Type Conversion
  • Unified I/O

Get Started

from firstblood.all import *

Get Started - Bytes, String and Hash

Python 3 has many great features, but it's not very suitable for CTF due to the seperation of str and bytes. The concept of bytes is really useful, you should follow it to handle encoding correctly in production. But it is annoying when you have a tight deadline (e.g. during the CTF).

Take base64 encoding for an example, here how it looks like in python 2:

str_var.encode('base64')

in python 3:

import binascii
binascii.b2a_base64(str_var.encode('utf8')).decode('utf8')

With this library, you can write:

str_var.b64e
# or
str_var.base64e
# or
str_var.enc('base64')

We also have a xor method which is very useful for crypto tasks:

>>> 'abc'.xor('cde')
b'\x02\x06\x06'
>>> 'abc'.xor(32)
b'ABC'

To convert between bytes, str and int:

>>> 'abc'.bytes
b'abc'
>>> 'abc'.bytes.str
'abc'
>>> 'a'.ord          # ord
97
>>> b'1337'.int10    # decimal
1337
>>> b'1337'.int16    # hex
4919
>>> b'\x39\x05'.int  # little endian
1337
>>> b'\x05\x39'.Int  # big endian
1337
>>> b'\x39\x05'.u16  # integer modulo ring
(1337 mod 2^16)

We also bind hashlib digest to str and bytes:

>>> 'abc'.sha1
b'\xa9\x99>6G\x06\x81j\xba>%qxP\xc2l\x9c\xd0\xd8\x9d'
>>> 'abc'.sha1.hexe
'a9993e364706816aba3e25717850c26c9cd0d89d'
>>> 'abc'.blake2s
b'P\x8c^\x8c2|\x14\xe2\xe1\xa7+\xa3N\xebE/7E\x8b \x9e\xd6:)M\x99\x9bL\x86gY\x82'
>>> 'abc'.blake2s.hexe
'508c5e8c327c14e2e1a72ba34eeb452f37458b209ed63a294d999b4c86675982'

Get Started - Method Chaining

The nature of python is nesting function call:

len(listA)
# or
list(map(str, listA))
# or
enumerate(zip(listA, listB))
# or
b2a_base64(sha1(a2b_base64(str_var)).digest()).decode('utf8')

But I'm a big fan of method chaining like what we do in Javascript. With this library, we can write:

listA.len
# or
listA.map(str).list
# or
listA.zip(listB).enum
# or
str_var.b64d.sha1.b64e

The order of method is same as the order of execution. Much better, right :)

Get Started - Iterable and Function

We intergrate builtin functions and a powerful module, itertools, to iterables itself.

If we want to bruteforce length 3 pairs of a given set:

>>> range(2).product(3).take(5).list
[(0, 0, 0), (0, 0, 1), (0, 1, 0), (0, 1, 1), (1, 0, 0)]
>>> 'ab'.product(3).take(5).list
['aaa', 'aab', 'aba', 'abb', 'baa']

And some useful utilities for processing iterables:

>>> 'abcabc'.rev
'cbacba'
>>> 'abcabc'.sorted
'aabbcc'
>>> 'abcabc'.chunk(2).list
['ab', 'ca', 'bc']
>>> 'abcabc'.nchunks(2).list
['abc', 'abc']
>>> range(4).xor(32).list
[32, 33, 34, 35]

We also add some numpy-like functions:

>>> range(5, 10).sum
35
>>> range(5, 10).mean
7.0
>>> range(5, 10).min
5
>>> range(5, 10).argmin
0
>>> range(5, 10).max
9
>>> range(5, 10).argmax
4
>>> range(10).all
False
>>> range(10).any
True
>>>

Convert between different iterables is very easy:

>>> 'abcabc'.list     # list
['a', 'b', 'c', 'a', 'b', 'c']
>>> 'abcabc'.uniq     # set
{'a', 'b', 'c'}
>>> 'abcabc'.tuple    # tuple
('a', 'b', 'c', 'a', 'b', 'c')
>>> 'abcabc'.counter  # collections.Counter
Counter({'a': 2, 'b': 2, 'c': 2})
>>> 'abcabc'.list.joinby(', ')
'a, b, c, a, b, c'
>>> 'abcabc'.list.joinby(b', ')
b'a, b, c, a, b, c'

Get Started - Function

Similar to itertools, we have functools for functions, we bind partial method on it:

>>> (lambda x: x).partial(10)()
10
>>> (lambda x: x).bind(10)()
10

TODO

compose

Get Started - Integer and Modulo

We provide different ways to convert to hex and bin:

>>> (1337).hex
'0539'
>>> (1337).bin
'0000010100111001'

where hex is aligned to two chars and bin is aligned to 8 chars.

We have a special module for calculation modulo arithmetic:

>>> (13).u16
(13 mod 2^16)
>>> (13).u16 << 15
(32768 mod 2^16)
>>> (13).u16 << 16
(0 mod 2^16)

>>> (13).mod(100) * 10
(30 mod 100)
>>> (13).mod(100) / 3
(71 mod 100)
>>> (71).mod(100) * 3
(13 mod 100)
>>> 1 / (13).mod(100)
(77 mod 100)
>>> (13).mod(100).inv
(77 mod 100)

Some utilities:

>>> (30).align(8)
32
>>> (32).align(8)
32
>>> (30).bin
'00011110'
>>> (30).mask(4).bin
'00010000'

To convert between int, bytes and str:

>>> (97).chr
'a'
>>> (1952802156).str
'1952802156'
>>> (1952802156).bytes
b'leet'
>>> (1952802156).p32
b'leet'
>>> (1952802156).p64
b'leet\x00\x00\x00\x00'

Get Started - Object

We bind some builtin functions to Object:

>>> str.dir.take(5).list
['Int', '__add__', '__class__', '__contains__', '__delattr__']
>>> str.hasattr('__name__')
True
>>> str.getattr('__name__')
'str'
>>> str.setattr('__name__', 'error')
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: cant set attributes of built-in/extension type 'str'

Get Started - JSON

Converting between data and JSON string can be done with attributes:

>>> 'abc'.json
'"abc"'
>>> (1337).json
'1337'
>>> {'a': 1}.json
'{"a": 1}'
>>> {'a': 1}.json.jsond
{'a': 1}

Get Started - Type conversion

TBD

Binding codecs module to attribute.

str_var.enc(encoding)
str_var.dec(encoding)

Get Started - Unified I/O

TBD

Inspired by the awesome interface of pwntools, we provide a unified interface for communicating between proceess, network, and even various file formats.

#-- Factory --#
uio.open('/path/to/file', [mode]) # open local file
uio.tcp(addr, port) # connect to a remote server
uio.local(port) # connect to localhost
uio.stdio # wrapped stdin and stdout
uio.spawn(cmd) # spawn a process [WIP]
uio.bind(ip, port) # start a tcp server [WIP]
uio.elf(cmd) # read ELF file [WIP]

#-- Method --#
r.line(keep=False)  # read a line. alias of r.readline()
r.line(data)  # alias of r.writeline(data)
r.lines(keep=False) # read all lines until EOF. alias of r.readlines()
r.until('input: ', [keep=False, drop=True]) # alias of r.readuntil('input: ')
r.read([n]) # read exactly n bytes. alias of r.exactly([n]) or r.readexactly([n])
r.some() # read all available data, block if nothing available. alias of r.readsome()
r.peek([n]) # peek up to n bytes
r.write(data) # write data
r.seek(n) # file only
r.pipe(dest, [block=False]) # Start another thread for piping the stream
r.interact() # GET THE SHELLLLLLL

Moreover, we make it chainable to provide a cleaner interface.

r.after('input: ').line(data).read(5)
r.seek(0).before('0x').line()

And a sweet timeout context manager for handling bad connection. It will escape from the block if we hit the timeout:

# 1 sec timeout on each I/O operation
with r.timeout(1):
    data = r.after('output: ').line()
    data = r.after('input: ').line(data).after('output: ').line()
    
# Total 1 sec timeout in whole timeout block
with r.timeout(total=1) as timer:
    data = r.after('output: ').line()
    data = r.after('input: ').line(data).after('output: ').line()
# Whether it hit the timeout or not
print(timer.safe)
    
# Or even nested block
with r.timeout(total=5):
    data = r.after('start:')
    for i in range(10):
        with r.timeout(1):
            data = r.after('input: ').line(str(i))
    for i in range(10):
        # Reraise the TimeoutError when exiting the block
        with r.timeout(1, propagate=True):
            data = r.after('input: ').line(str(i))

We also provide shortcuts to files to avoid with open block:

data = uio.read('/path/to/file') # r mode
data = uio.readbin('/path/to/file') # rb mode
data = uio.readline('/path/to/file') # r mode
data = uio.readbinline('/path/to/file') # rb mode
data = uio.readlines('/path/to/file') # r mode
data = uio.readbinlines('/path/to/file') # rb mode
data = uio.readuntil('/path/to/file', 'end') # r mode
data = uio.readbinuntil('/path/to/file', b'end') # r mode
data = uio.write('/path/to/file', data) # r mode
data = uio.writebin('/path/to/file', data) # r mode
data = uio.writeline('/path/to/file', data) # r mode
data = uio.writebinline('/path/to/file', data) # r mode
data = uio.writelines('/path/to/file', lines) # r mode
data = uio.writebinlines('/path/to/file', lines) # r mode

[Future] Maybe we can bind uio and pathlib to str attributes?

data = '/path/to/file'.read()
data = '/path/to/file'.readbin()
data = '/path/to/file'.readlines()
data = '/path/to/file'.write(data)

f = '/path/to/file'.open()
files = '/path/to/dir'.iterdir()

API

TBD

The project is still working in progress, we does'nt has any stable api now.

Current Limitation

Overriding operators of builtin type cannot be done in pure python, those types save C function pointers directly.