Teach the parser to properly handle PE32+ binaries. The major differences are: - Fields in the OptionalHeader which are not relative are now 64 bits. - Base addresses should all be 64 bits. - The BaseOfData field is not available on PE32+ There is now a 16 bit field tacked on to the end of nt_header_32 called OptionalMagic. This is a duplicate of the Magic field in optional_header_32 and optional_header_64, but is stored in nt_header_32 to make it easier to determine which optional header is being used. I also added support for better error reporting. Now when something fails to parse you can use a couple of functions to find out what happened and where it happened: - GetPEErr(): Return the error as an integer. - GetPEErrString(): Return the error as a string. - GetPEErrLoc(): Return the function and line number of the error. Made some changes to pepy to account for these changes. The interface into pepy is identical. Only externally visible changes are that pepy.parse() will now return the error string and location when parsing fails and the baseofdata attribute will throw an exception if the binary is PE32+. to_string.h is now included from parse.h, so remove it from dump.cpp. While here do a bunch of cleanups to make printing consistent. Use '0x' where appropriate and ensure exceptions are punctuated correctly.
pepy
pepy (pronounced p-pie) is a python binding to the pe-parse parser.
Building
If you can build pe-parse and have a working python environment (headers and libraries) you can build pepy.
- Build pepy:
- python setup.py build
- Install pepy:
- python setup.py install
Using
Parsed object
There are a number of objects involved in pepy. The main one is the parsed object. This object is returned by the parse method.
import pepy
p = pepy.parse("/path/to/exe")
The parsed object has a number of methods:
- get_entry_point: Return the entry point address
- get_bytes: Return the first N bytes at a given address
- get_sections: Return a list of section objects
- get_imports: Return a list of import objects
- get_exports: Return a list of export objects
- get_relocations: Return a list of relocation objects
- get_resources: Return a list of resource objects
The parsed object has a number of attributes:
- signature
- machine
- numberofsections
- timedatestamp
- numberofsymbols
- characteristics
- magic
- majorlinkerver
- minorlinkerver
- codesize
- initdatasize
- uninitdatasize
- entrypointaddr
- baseofcode
- baseofdata
- imagebase
- sectionalignement
- filealingment
- majorosver
- minorosver
- win32ver
- imagesize
- headersize
- checksum
- subsystem
- dllcharacteristics
- stackreservesize
- stackcommitsize
- heapreservesize
- heapcommitsize
- loaderflags
- rvasandsize
Example:
import time
import pepy
p = pepy.parse("/path/to/exe")
print "Timedatestamp: %s" % time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(p.timedatestamp))
ep = p.get_entry_point()
print "Entry point: 0x%x" % ep
The get_sections, get_imports, get_exports, get_relocations and get_resources methods each return a list of objects. The type of object depends upon the method called. get_sections returns a list of section objects, get_imports returns a list of import objects, etc.
Section Object
The section object has the following attributes:
- base
- length
- virtaddr
- virtsize
- numrelocs
- numlinenums
- characteristics
- data
Import Object
The import object has the following attributes:
- sym
- name
- addr
Export Object
The export object has the following attributes:
- mod
- func
- addr
Relocation Object
The relocation object has the following attributes:
- type
- addr
Resource Object
The resource object has the following attributes:
- type_str
- name_str
- lang_str
- type
- name
- lang
- codepage
- RVA
- size
- data
The resource object has the following methods:
- type_as_str
Resources are stored in a directory structure. The first three levels of the are called type, name and lang. Each of these levels can have either a pre-defined value or a custom string. The pre-defined values are stored in the type, name and lang attributes. If a custom string is found it will be stored in the type_str, name_str and lang_str attributes. The type_as_str method can be used to convert a pre-defined type value to a string representation.
The following code shows how to iterate through resources:
import pepy
from hashlib import md5
p = pepy.parse(sys.argv[1])
resources = p.get_resources()
print "Resources: (%i)" % len(resources)
for resource in resources:
print "[+] MD5: (%i) %s" % (len(resource.data), md5(resource.data).hexdigest())
if resource.type_str:
print "\tType string: %s" % resource.type_str
else:
print "\tType: %s (%s)" % (hex(resource.type), resource.type_as_str())
if resource.name_str:
print "\tName string: %s" % resource.name_str
else:
print "\tName: %s" % hex(resource.name)
if resource.lang_str:
print "\tLang string: %s" % resource.lang_str
else:
print "\tLang: %s" % hex(resource.lang)
print "\tCodepage: %s" % hex(resource.codepage)
print "\tRVA: %s" % hex(resource.RVA)
print "\tSize: %s" % hex(resource.size)
Note that some binaries (particularly packed) may have corrupt resource entries. In these cases you may find that len(resource.data) is 0 but resource.size is greater than 0. The size attribute is the size of the data as declared by the resource data entry.
Authors
pe-parse was designed and implemented by Andrew Ruef (andrew@trailofbits.com) pepy was written by Wesley Shields (wxs@atarininja.org)