''' IDAPython script that generates a YARA rule to match against the basic blocks of the current function. It masks out relocation bytes and ignores jump instructions (given that we're already trying to match compiler-specific bytes, this is of arguable benefit). If python-yara is installed, the IDAPython script also validates that the generated rule matches at least one segment in the current file. author: Willi Ballenthin ''' # 2018/8/6 Takahiro Haruyama modified to calculate fixup (relocation) size correctly # and exclude direct memory reference data and other ignorable variable code import logging from collections import namedtuple from idc import * import idaapi import idautils import ida_ua, ida_kernwin logger = logging.getLogger(__name__) BasicBlock = namedtuple('BasicBlock', ['va', 'size']) # each rule must have at least this many non-masked bytes MIN_BB_BYTE_COUNT = 4 def get_basic_blocks(fva): ''' return sequence of `BasicBlock` instances for given function. ''' ret = [] func = idaapi.get_func(fva) if func is None: return ret for bb in idaapi.FlowChart(func): ret.append(BasicBlock(va=bb.startEA, size=bb.endEA - bb.startEA)) return ret def get_function(va): ''' return va for first instruction in function that contains given va. ''' return idaapi.get_func(va).startEA Rule = namedtuple('Rule', ['name', 'bytes', 'masked_bytes', 'cut_bytes_for_hash']) def is_jump(va): ''' return True if the instruction at the given address appears to be a jump. ''' return GetMnem(va).startswith('j') def get_fixup_va_and_size(va): fva = idaapi.get_next_fixup_ea(va) ftype = get_fixup_target_type(fva) fsize = ida_fixup.calc_fixup_size(ftype) return fva, fsize def get_basic_block_rule(bb): ''' create and format a YARA rule for a single basic block. The following bytes are ignored: - relocation bytes - the last jump instruction - direct memory references / immediate values and other igorable data ''' # fetch the instruction start addresses insns = [] va = bb.va while va < bb.va + bb.size: insns.append(va) va = NextHead(va) # drop the last instruction if its a jump if insns and is_jump(insns[-1]): insns = insns[:-1] _bytes = [] # `masked_bytes` is the list of formatted bytes, # not yet join'd for performance. masked_bytes = [] cut_bytes_for_hash = '' for va in insns: insn = ida_ua.insn_t() size = ida_ua.decode_insn(insn, va) mnem = insn.get_canon_mnem() op1 = insn.Op1 op2 = insn.Op2 fixup_byte_addrs = set([]) if idaapi.contains_fixups(va, size): # not work for x64 binaries? (e.g., idaapi.contains_fixups(here(), 0x2d000) -> False) logging.debug('ea = {:#x}, fixups'.format(va)) # fetch the fixup locations and sizes within this one instruction. fixups = [] fva, fsize = get_fixup_va_and_size(va) fixups.append((fva, fsize)) fva += fsize while fva < va + size: fva, fsize = get_fixup_va_and_size(fva - 1) # to detect consecutive fixups fixups.append((fva, fsize)) fva += fsize logging.debug('fixups: {}'.format(fixups)) # compute the addresses of each component byte. for fva, fsize in fixups: for i in range(fva, fva+fsize): fixup_byte_addrs.add(i) # fetch and format each byte of the instruction, # possibly masking it into an unknown byte if its a fixup or several operand types like direct mem ref. masked_types = [o_mem, o_imm, o_displ, o_near, o_far] #masked_types = [o_mem, o_imm, o_near, o_far] bytes_ = get_bytes(va, size) if bytes_ is None: return None for i, byte in enumerate(bytes_): _bytes.append(ord(byte)) byte_addr = i + va if byte_addr in fixup_byte_addrs: logging.debug('{:#x}: fixup byte (masked)'.format(byte_addr)) masked_bytes.append('??') elif op1.type in masked_types and i >= op1.offb and (i < op2.offb or op2.offb == 0): logging.debug('{:#x}: Op1 masked byte'.format(byte_addr)) masked_bytes.append('??') elif op2.type in masked_types and i >= op2.offb: logging.debug('{:#x}: Op2 masked byte'.format(byte_addr)) masked_bytes.append('??') else: masked_bytes.append('%02X' % (ord(byte))) cut_bytes_for_hash += byte return Rule('$0x%x' % (bb.va), _bytes, masked_bytes, cut_bytes_for_hash) def format_rules(fva, rules): ''' given the address of a function, and the byte signatures for basic blocks in the function, format a complete YARA rule that matches all of the basic block signatures. ''' name = GetFunctionName(fva) if not rules: logging.info('no rules for {}'.format(name)) return None # some characters aren't valid for YARA rule names safe_name = name BAD_CHARS = '@ /\\!@#$%^&*()[]{};:\'",./<>?' for c in BAD_CHARS: safe_name = safe_name.replace(c, '') md5 = idautils.GetInputFileMD5() ret = [] ret.append('rule a_{hash:s}_{name:s} {{'.format( hash=md5, name=safe_name)) ret.append(' meta:') ret.append(' sample_md5 = "{md5:s}"'.format(md5=md5)) ret.append(' function_address = "0x{fva:x}"'.format(fva=fva)) ret.append(' function_name = "{name:s}"'.format(name=name)) ret.append(' strings:') for rule in rules: formatted_rule = ' '.join(rule.masked_bytes).rstrip('?? ') ret.append(' {name:s} = {{ {hex:s} }}'.format( name=rule.name, hex=formatted_rule)) ret.append(' condition:') ret.append(' all of them') ret.append('}') return '\n'.join(ret) def create_yara_rule_for_function(fva): ''' given the address of a function, generate and format a complete YARA rule that matches the basic blocks. ''' rules = [] for bb in get_basic_blocks(fva): rule = get_basic_block_rule(bb) if rule: # ensure there at least MIN_BB_BYTE_COUNT # non-masked bytes in the rule, or ignore it. # this will reduce the incidence of many very small matches. unmasked_count = len(filter(lambda b: b != '??', rule.masked_bytes)) if unmasked_count < MIN_BB_BYTE_COUNT: continue rules.append(rule) return format_rules(fva, rules) def get_segment_buffer(segstart): ''' fetch the bytes of the section that starts at the given address. if the entire section cannot be accessed, try smaller regions until it works. ''' segend = idaapi.getseg(segstart).endEA buf = None segsize = segend - segstart while buf is None and segsize > 0: buf = GetManyBytes(segstart, segsize) if buf is None: segsize -= 0x1000 return buf Segment = namedtuple('Segment', ['start', 'size', 'name', 'buf']) def get_segments(): ''' fetch the segments in the current executable. ''' for segstart in idautils.Segments(): segend = idaapi.getseg(segstart).endEA segsize = segend - segstart segname = str(SegName(segstart)).rstrip('\x00') segbuf = get_segment_buffer(segstart) yield Segment(segstart, segend, segname, segbuf) class TestDidntRunError(Exception): pass def test_yara_rule(rule): ''' try to match the given rule against each segment in the current exectuable. raise TestDidntRunError if its not possible to import the YARA library. return True if there's at least one match, False otherwise. ''' try: import yara except ImportError: logger.warning("can't test rule: failed to import python-yara") raise TestDidntRunError('python-yara not available') r = yara.compile(source=rule) for segment in get_segments(): if segment.buf is not None: matches = r.match(data=segment.buf) if len(matches) > 0: logger.info('generated rule matches section: {:s}'.format(segment.name)) return True return False def main(): print 'Start' ans = ida_kernwin.ask_yn(0, 'define only selected function?') if ans: va = ScreenEA() fva = get_function(va) print('-' * 80) rule = create_yara_rule_for_function(fva) if rule: print(rule) if test_yara_rule(rule): logging.info('success: validated the generated rule') else: logging.error('error: failed to validate generated rule') else: for fva in idautils.Functions(): print('-' * 80) rule = create_yara_rule_for_function(fva) if rule: print(rule) print 'Done' if __name__ == '__main__': logging.basicConfig(level=logging.INFO) logging.getLogger().setLevel(logging.INFO) #logging.basicConfig(level=logging.DEBUG) #logging.getLogger().setLevel(logging.DEBUG) main()