-
Notifications
You must be signed in to change notification settings - Fork 1
/
params.py
1029 lines (847 loc) · 34 KB
/
params.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
# currently specific to AMD64 (and possibly Linux)
from itertools import chain, takewhile
from collections import defaultdict
import json
import os.path
import glob
import traceback
import subprocess
import tempfile
import shutil
from ghidra.program.model.listing import VariableStorage, ParameterImpl
from ghidra.program.model.symbol import SourceType
from ghidra.program.model.listing.Function import FunctionUpdateType
from ghidra.program.model.pcode import Varnode
from ghidra.program.model import data
GO_MAXVER = 23
versions = ['go1.%d' % num for num in range(GO_MAXVER+1)[::-1]]
# Find section by name
def getSection(name):
block = getMemoryBlock(name)
if block is None:
print("No %s section found." % name)
return None
start = block.getStart()
end = block.getEnd()
print("%s [start: 0x%x, end: 0x%x]" % (block.getName(), start.getOffset(), end.getOffset()))
return start, end
# Find version by string search in specific memory block
def findVersion(name):
section = getSection(name)
if section is None:
return None
start, end = section
address_set = ghidra.program.model.address.AddressSet(start, end)
for version in versions:
if findBytes(address_set, version, 1, 1):
print("Version found")
print(version)
return version
print('version not found in section')
return None
def apply_delta(a, delta):
"""
Applies the changes specified in the `delta` dictionary to the `a` dictionary.
Args:
a (dict): The original dictionary to modify.
delta (dict): The changes to apply to the original dictionary. This should be in the same
format as the output of the `get_delta` function. That is, the keys are paths
(formatted as 'key1->key2->key3') to the values that should be changed, and
the values are the new values. If the new value is "_DELETED_", the key at
that path is deleted.
Returns:
dict: The dictionary `a` after applying the changes specified in `delta`.
Note:
This function modifies the dictionary `a` in-place, but also returns it for convenience.
Ensure that this side effect is acceptable in your context.
Examples:
>> a = {'x': 1, 'y': {'a': 10, 'b': 20}}
>> delta = {'x': 2, 'y->b': 30, 'y->a': '_DELETED_'}
>> apply_delta(a, delta)
{'x': 2, 'y': {'b': 30}}
"""
for key_path, value in delta.items():
key_list = key_path.split("->")
current = a
for key in key_list[:-1]:
current = current[key]
if value == "_DELETED_":
del current[key_list[-1]]
else:
current[key_list[-1]] = value
return a
def pkg_mod_info():
p = subprocess.Popen(
['go', 'version', '-m', currentProgram.executablePath],
stdout=subprocess.PIPE,
)
stdout, _ = p.communicate()
p.wait()
version = stdout.split('\n')[0].split()[-1]
deps = [
split[2] + '@' + split[3]
for split in (
line.split('\t')
for line in stdout.split('\n')
if '\tdep\t' in line
)
if '.' in split[2].split('/', 1)[0]
]
return version, deps
def go_env(s):
p = subprocess.Popen(['go', 'env', s], stdout=subprocess.PIPE)
stdout, _ = p.communicate()
p.wait()
return stdout[:-1]
def set_git_revision(dir, tag):
p = subprocess.Popen(['git', '-C', dir, 'checkout', tag])
if p.wait() != 0:
raise Exception('unable to set git revision')
def setup_fake_goroot(version):
fake_goroot = tempfile.mkdtemp()
goroot = go_env('GOROOT')
base, dirs, files = next(os.walk(goroot))
for entry in dirs + files:
target = os.path.join(goroot, entry)
link_path = os.path.join(fake_goroot, entry)
os.symlink(target, link_path)
go_src_path = os.path.expanduser('~/src/go')
set_git_revision(go_src_path, version)
os.remove(os.path.join(fake_goroot, 'src'))
os.symlink(os.path.join(go_src_path, 'src'), os.path.join(fake_goroot, 'src'))
return fake_goroot
def fake_pkg(deps):
dir = tempfile.mkdtemp()
try:
p = subprocess.Popen(
['go', '-C', dir, 'mod', 'init', 'x'],
)
if p.wait() != 0:
raise Exception('failed to init mod')
args = ['go', '-C', dir, 'get']
args.extend(deps)
p = subprocess.Popen(args)
if p.wait() != 0:
raise Exception('failed to install deps')
finally:
shutil.rmtree(dir)
def get_dep_definition(api_parser, dep_dir, version, dep):
go_mod_path = os.path.join(dep_dir, 'go.mod')
if os.path.isfile(go_mod_path):
return run_api_parser(api_parser, dep_dir, version)
tmpdir = tempfile.mkdtemp()
old_dep_dir = dep_dir
dep_dir = os.path.join(tmpdir, 'pkg')
try:
shutil.copytree(old_dep_dir, dep_dir)
recursive_dir_chmod(dep_dir, 0o700)
pkg_name = dep.split('@')[0]
for extra_args in [
['mod', 'init', pkg_name],
['mod', 'tidy'],
]:
args = ['go', '-C', dep_dir]
args.extend(extra_args)
p = subprocess.Popen(args)
if p.wait() != 0:
raise Exception('failed to run {}'.format(args))
return run_api_parser(api_parser, dep_dir, version)
finally:
shutil.rmtree(tmpdir)
def recursive_dir_chmod(path, mode):
for dir, _, _ in os.walk(path):
os.chmod(dir, mode)
def run_api_parser(api_parser, dep_dir, version):
with tempfile.NamedTemporaryFile() as json_file:
p = subprocess.Popen(
[
api_parser,
'-src', dep_dir,
'-out', json_file.name,
'-version', version,
],
)
if p.wait() != 0:
raise Exception('failed to get dep info')
json_file.seek(0)
return json.load(json_file)
def get_dep_definitions(deps, version):
if not deps:
return
fake_goroot = setup_fake_goroot(version)
try:
fake_pkg(deps)
api_parser_path = os.path.expanduser('~/src/go-api-parser/go-api-parser')
gomodcache = go_env('GOMODCACHE')
for dep in deps:
dir = os.path.join(gomodcache, dep)
print(dep)
try:
yield get_dep_definition(api_parser_path, dir, version, dep)
except Exception:
traceback.print_exc()
finally:
shutil.rmtree(fake_goroot)
def merge_definitions(current, new):
for arch, arch_d in new.items():
if arch not in current:
current[arch] = arch_d
continue
current_arch = current[arch]
for subcat, subcat_d in arch_d.items():
current_arch[subcat].update(subcat_d)
unix_os = ['aix', 'android', 'darwin', 'dragonfly', 'freebsd', 'hurd', 'illumos', 'ios', 'linux', 'netbsd', 'openbsd', 'solaris']
def matching_architectures(os, arch, cgo):
matches = [os, arch, '{}-{}'.format(os, arch), 'all']
if os in unix_os:
matches.append('unix')
if cgo:
matches.extend(['cgo', '{}-{}-cgo'.format(os, arch)])
return matches
version, deps = pkg_mod_info()
print 'version', version
print 'deps', deps
version_tup = tuple(int(num) for num in version[2:].split('.'))
dirname = os.path.dirname(__file__) + '/go_deduped/'
matches = sorted(
(path for path in glob.glob(dirname + '*.json')),
key=lambda e: [int(x) for x in e.rsplit('/', 1)[-1][2:].replace('_delta', '').replace('.json', '').split('.')]
)
indexes = [
path.rsplit('/', 1)[-1].replace('_delta', '').replace('.json', '')
for path in matches
]
end_index = indexes.index(version) + 1
matches = matches[:end_index]
with open(matches[0]) as fd:
definitions = json.load(fd)
for match in matches[1:]:
with open(match) as fd:
delta = json.load(fd)
apply_delta(definitions, delta)
for dep_definition in get_dep_definitions(deps, version):
merge_definitions(definitions, dep_definition)
# current architecture, for architectures-specific functions
# TODO Ghidra can report platform info, get this dynamically
# once more platforms are supported
current_arch = 'linux-amd64'
# get function signatures applying to all architectures
# + those specific to the current architecture
prog_definitions = definitions['all']
for tag in set(matching_architectures('linux', 'amd64', True)) & set(definitions):
new_definitions = definitions[tag]
for key in ('Aliases', 'Funcs', 'Interfaces', 'Structs', 'Types'):
prog_definitions[key].update(new_definitions[key])
# Determine the size of pointers, and the data type of int and uint.
# This will be different depending on whether the system is 32-bit or 64-bit.
ptr_size = currentProgram.getDefaultPointerSize()
if ptr_size == 8:
ptr = data.Pointer64DataType
int_t = data.SignedQWordDataType
uint_t = data.QWordDataType
else:
ptr = data.Pointer32DataType
int_t = data.SignedDWordDataType
uint_t = data.DWordDataType
# Structs are created for non-trivial built-in types.
# The 'go_string' struct is created, which is similar to a slice, containing a data pointer and length, but without any capacity.
go_string = data.StructureDataType('go_string', 0)
go_string.add(ptr(), ptr_size, 'ptr', None)
go_string.add(int_t(), ptr_size, 'len', None)
# The 'go_slice' struct is created, according to the slice introduction on the Go blog (https://go.dev/blog/slices-intro).
go_slice = data.StructureDataType('go_slice', 0)
go_slice.add(ptr(data.Undefined1DataType()), ptr_size, 'ptr', None)
go_slice.add(int_t(), ptr_size, 'len', None)
go_slice.add(int_t(), ptr_size, 'cap', None)
# The 'go_iface' struct is created, as described in the Go ABI internal memory layout (https://github.com/golang/go/blob/master/src/cmd/compile/abi-internal.md#memory-layout).
go_iface = data.StructureDataType('go_iface', 0)
go_iface.add(ptr(data.Undefined1DataType()), ptr_size, 'type_ptr', None)
go_iface.add(ptr(data.Undefined1DataType()), ptr_size, 'impl_ptr', None)
# The 'go_chan' struct is created, as mentioned in the Go ABI internal documentation. The internal structure is important as it always consists of a pointer.
go_chan = data.StructureDataType('go_chan', 0)
go_chan.add(ptr(data.Undefined1DataType()), ptr_size, 'ptr', None)
# The 'go_map' struct is created, which is similar to the 'go_chan' struct.
go_map = data.StructureDataType('go_map', 0)
go_map.add(ptr(data.Undefined1DataType()), ptr_size, 'ptr', None)
# The 'go_error' struct is created, which includes a 'go_iface' struct.
go_error = data.StructureDataType('go_error', 0)
go_error.add(go_iface, ptr_size * 2, 'iface', None)
# Additional code for defining various built-in types is provided.
# The code includes definitions for Go strings, Go slices, Go interfaces,
# Go channels, Go maps, and Go errors.
# The language ID of the current program is retrieved. Based on the
# language ID, the integer and float registers are determined.
# Currently, the script supports x86 (with a pointer size of 8) and AARCH64
language_id = currentProgram.getLanguageID().toString()
if language_id.startswith('x86') and ptr_size == 8:
integer_registers = ['RAX', 'RBX', 'RCX',
'RDI', 'RSI', 'R8', 'R9', 'R10', 'R11']
float_registers = ['XMM{}'.format(i) for i in range(15)]
elif language_id.startswith('AARCH64'):
integer_registers = ['x{}'.format(i) for i in range(16)]
float_registers = ['d{}'.format(i) for i in range(16)]
else:
integer_registers = []
float_registers = []
#space_reg = integer_registers[0] if integer_registers else ''
# no passing args in registers, fallback to abi0
if version_tup < (1, 17):
integer_registers = []
float_registers = []
# Instead of creating a new unique space or using the OTHER_SPACE address space, we are using the address space of the first integer register.
#space = currentProgram.getRegister(space_reg).getAddressSpace()
# A dictionary named 'regmap' is created. The keys are the register names (strings), such as "RAX", and the values are the corresponding Ghidra register objects.
# The registers are retrieved from the currentProgram.
# Refer to the Ghidra documentation (https://ghidra.re/ghidra_docs/api/ghidra/program/model/lang/Register.html) for more information on the Register class.
regmap = {
reg: currentProgram.getRegister(reg)
for reg in chain(integer_registers, float_registers)
}
# A mapping from Go type name strings to the corresponding Ghidra data type constructors is created.
# Refer to the Ghidra documentation (https://ghidra.re/ghidra_docs/api/ghidra/program/model/data/package-summary.html) for more information on the data types.
builtins_map = {
'iface': lambda: go_iface,
'bool': data.BooleanDataType,
'byte': data.ByteDataType,
'rune': data.SignedDWordDataType,
'complex128': data.Complex16DataType,
'complex64': data.Complex8DataType,
'float32': data.Float4DataType,
'float64': data.Float8DataType,
'int': int_t,
'int16': data.SignedWordDataType,
'int32': data.SignedDWordDataType,
'int64': data.SignedQWordDataType,
'int8': data.SignedByteDataType,
'string': lambda: go_string,
'uint': uint_t,
'uint16': data.WordDataType,
'uint32': data.DWordDataType,
'uint64': data.QWordDataType,
'uint8': data.ByteDataType,
'uintptr': uint_t,
'unsafe.Pointer': lambda: ptr(data.Undefined1DataType()),
'undefined8': data.Undefined8DataType,
'undefined': data.Undefined1DataType,
'error': lambda: go_error,
'code': data.Undefined1DataType, # TODO something better here?
# probably don't care about the internals of these
'chan': lambda: go_chan,
'map': lambda: go_map,
}
align_map = defaultdict(lambda: ptr_size, {
'bool': 1,
'uint8': 1,
'int8': 1,
'byte': 1,
'uint16': 2,
'int16': 2,
'uint32': 4,
'int32': 4,
'rune': 4,
'float32': 4,
'complex64': 4,
})
slices_map = {}
def make_slice(t, name):
"""
This function is used to create a slice in the Go programming language,
which is a structure containing a pointer to the data (ptr), length of the data (len),
and the capacity of the slice (cap). The name of the slice and the data type it
contains are given as parameters.
Parameters:
t (DataType): The data type of the elements that the slice will contain.
name (str): The name of the slice.
Returns:
slice_t (StructureDataType): The constructed slice.
"""
if name in slices_map:
return slices_map[name]
slice_t = data.StructureDataType(name + '[]', 0)
slice_t.add(ptr(t), ptr_size, 'ptr', None)
slice_t.add(int_t(), ptr_size, 'len', None)
slice_t.add(int_t(), ptr_size, 'cap', None)
return slice_t
# A dictionary used to store and map the types encountered in the program.
type_map = {}
def align(size, align):
"""
This function finds the first multiple of align greater than or equal to
the offset given by size, for the purpose of finding start of some element
which may require padding due to alignment reasons.
Parameters:
size (int): An integer offset, in bytes.
align (int): The alignment required by the element, in bytes.
Returns:
int: The offset of the next element.
"""
return size + (-size % align)
def get_type(s):
"""
This function retrieves the type of a given string identifier.
If the identifier is already mapped in type_map, it returns the corresponding type.
Otherwise, it tries to infer the type based on several possible built-in types,
pointers, arrays, slices, interfaces, structs, and aliases.
Parameters:
s (str): The string identifier for which the type is to be inferred.
Returns:
tuple: A tuple containing the inferred type, its length, and alignment.
Raises:
Exception: If the type of the string identifier cannot be determined.
"""
if s in type_map:
return type_map[s]
if s in builtins_map:
t = builtins_map[s]()
ret = t, t.getLength(), align_map[s]
elif s.endswith('*'): # pointer
ret = ptr(get_type(s[:-1])[0]), ptr_size, ptr_size
elif s.endswith(']'): # array
element_s, num = s[:-1].rsplit('[', 1)
el_type, el_len, el_align = get_type(element_s)
if num: # array
arr_len = int(num)
aligned_el_len = align(el_len, el_align)
arr_t = data.ArrayDataType(el_type, arr_len, aligned_el_len)
ret = arr_t, arr_len * aligned_el_len, el_align
else: # slice
ret = make_slice(el_type, element_s), 3 * ptr_size, ptr_size
elif s in prog_definitions['Interfaces']:
ret = go_iface, 2 * ptr_size, ptr_size
elif s in prog_definitions['Structs']:
ret = get_struct(s)
elif s in prog_definitions['Types']:
ret = get_type(prog_definitions['Types'][s]['Underlying'])
elif s in prog_definitions['Aliases']:
ret = get_type(prog_definitions['Aliases'][s]['Target'])
else:
raise Exception('unknown type {}'.format(s))
type_map[s] = ret
return ret
# A dictionary used to store and map the struct definitions encountered in the program.
struct_defs = {}
def get_struct(name):
"""
This function retrieves the structure data type corresponding to a given name from the 'struct_defs' dictionary.
If it does not exist, it creates the data type by examining the corresponding fields in the 'prog_definitions'.
The created data type includes proper alignment and size calculations.
Parameters
----------
name : str
The name of the structure data type.
Returns
-------
tuple
The tuple consists of:
- The StructureDataType object,
- The total size of the structure (considering field sizes and padding for alignment), and
- The maximum alignment requirement among the fields.
Note
----
It's important to handle types with circular references carefully to avoid infinite recursion.
Raises
------
Exception
Raises an exception if the provided type name is unknown.
"""
if name in struct_defs:
return struct_defs[name]
struct_t = data.StructureDataType(name, 0)
struct_defs[name] = struct_t, 'x', 'y'
fields = [
(get_type(field['DataType']), field['Name'])
for field in prog_definitions['Structs'][name]['Fields']
]
if not fields:
res = struct_t, 0, 1
struct_defs[name] = res
return res
current_offset = 0
alignment = max(field[0][2] for field in fields)
for ((field_t, field_size, field_align), field_name) in fields:
if not field_size:
continue
field_offset = align(current_offset, field_align)
new_offset = field_offset + field_size
# struct_t.growStructure(new_offset - current_offset)
current_offset = new_offset
struct_t.insertAtOffset(field_offset, field_t,
field_size, field_name, None)
end_padding = align(current_offset, alignment) - current_offset
if end_padding:
struct_t.growStructure(end_padding)
# required padding byte for non-empty structs
# struct_t.growStructure(1)
# struct_t.replaceAtOffset(current_offset, data.ByteDataType(), 1, '_padding_byte', None)
# current_offset += 1
res = struct_t, current_offset, alignment
struct_defs[name] = res
return res
# for dynamically created struct types; see below
dynamic_type_map = {}
def get_dynamic_type(types):
"""
This function retrieves or creates a composite type that combines the
specified types in the input list. This is used to handle multiple return
types from Go functions. The generated composite type is stored in the
`dynamic_type_map` dictionary for reuse.
Parameters
----------
types : list
List of type names to be combined into a composite type.
Returns
-------
DataType
The generated composite type.
Note
----
The naming convention for the composite type is 'go_dynamic_' followed by
the input type names joined by '+' symbols.
"""
name = 'go_dynamic_' + '+'.join(types)
if name in dynamic_type_map:
return dynamic_type_map[name]
t = data.StructureDataType(name, 0)
for i, typename in enumerate(types):
el_type, el_size, _ = get_type(typename)
el_name = 'elem_{}_{}'.format(i + 1, typename)
t.add(el_type, el_size, el_name, None)
dynamic_type_map[name] = t
return t
# simplify iterating over functions
# generator that yields each defined function within the currenct binary
def functions_iter():
"""
This function is a generator that yields each defined function within the current binary.
It provides a simple way to iterate over all the functions in a binary.
Yields
------
Function
Each defined function within the current binary in sequence.
Note
----
The function uses the `getFirstFunction` and `getFunctionAfter` functions from
Ghidra's API to traverse the list of functions.
"""
func = getFirstFunction()
while func is not None:
yield func
func = getFunctionAfter(func)
def assign_registers(I, FP, datatype):
"""
This function attempts to assign registers for a given datatype. Registers are selected based on the
datatype, either integer or floating point, from a pool of current available registers. It handles padding and
register overflow scenarios. In the event of an array data type of length more than 1 or if no more registers
are available, the function fails and returns None.
Parameters
----------
I : int
The starting index for the integer register pool.
FP : int
The starting index for the floating point register pool.
datatype : DataType
The datatype for which to assign registers.
Returns
-------
tuple
A tuple containing a list of the assigned Varnodes, the last used integer register index,
and the last used floating point register index.
Raises
------
Exception
If a datatype is larger than the current register's length.
"""
# clone + reverse for .pop() and .append()
current_int_registers = [regmap[reg]
for reg in integer_registers[I:][::-1]]
current_float_registers = [regmap[reg]
for reg in float_registers[FP:][::-1]]
padding_size = 0
out = []
for t in recursive_struct_unpack(datatype):
if isinstance(t, data.DefaultDataType):
padding_size += 1
continue
if isinstance(t, data.ArrayDataType):
# "If T is an array type of length > 1, fail."
return None
if isinstance(t, data.AbstractFloatDataType):
registers = current_float_registers
else:
registers = current_int_registers
if len(registers) == 0:
return None
t_len = t.getLength()
while True:
reg = registers.pop()
reg_len = reg.getBitLength() >> 3
if reg_len < t_len:
raise Exception(t)
if reg_len == t_len: # fits at least partially into the register
out.append(Varnode(reg.getAddress(), reg.getBitLength() >> 3))
if registers is current_int_registers:
I += 1
else:
FP += 1
break
# register is too big, get smaller-sized "child register"
registers.append(reg.getChildRegisters()[0])
# if padding_size > 0:
# out.append(Varnode(space.getAddress(0x10000), padding_size))
return out, I, FP
def assign_type(type_name, I, FP, stack_offset, results=False, func_offset=0):
"""
This function attempts to assign a type either to a register or to the stack. It first attempts to assign
the type to a register. If assignment to a register fails (for instance, if the type size is too large for
any available register), the type is assigned to the stack.
Parameters
----------
type_name : str
The name of the type to be assigned.
I : int
The index of the integer register pool from which to start assignment.
FP : int
The index of the floating point register pool from which to start assignment.
stack_offset : int
The current offset in the stack, indicating where to start assignment if type is to be placed on the stack.
Returns
-------
tuple
A tuple containing the following elements:
- VariableStorage object representing the assignment of the type.
- The datatype corresponding to the type_name.
- The final used index from the integer register pool.
- The final used index from the floating point register pool.
- The final stack offset after assignment.
"""
datatype, el_size, el_align = get_type(type_name)
if el_size == 0:
# "If T has zero size, add T to the stack sequence S and return."
return None, datatype, I, FP, stack_offset
# "Try to register-assign V."
reg_info = assign_registers(I, FP, datatype)
if reg_info is None: # assign to stack
# "If step 3 failed, [...] add T to the stack sequence S"
if results:
el_offset = align(func_offset + stack_offset + el_size, el_align)
storage = [-el_offset, el_size]
stack_offset = el_offset + el_size
else:
el_offset = align(stack_offset, el_align)
storage = [el_offset, el_size]
stack_offset = el_offset + el_size
else: # assign to register
storage, I, FP = reg_info
if not results:
storage = list(storage)[::-1]
return VariableStorage(currentProgram, *storage), datatype, I, FP, stack_offset
def get_params(param_types):
"""
This function processes a list of parameter types and assigns each one to a register or stack.
It does this by invoking the `assign_type` function on each type in the parameter list.
Parameters
----------
param_types : list
The list of parameter types to be assigned. Each type in the list should be represented by
a dictionary containing at least a 'DataType' key.
Returns
-------
tuple
A tuple containing the following elements:
- List of ParameterImpl objects, each representing a parameter and its assigned location.
- The final stack offset after all assignments.
"""
result_params = []
stack_offset = ptr_size
I = 0
FP = 0
for param in param_types:
storage, datatype, I, FP, stack_offset = assign_type(
param['DataType'], I, FP, stack_offset)
if not storage:
continue
result_params.append(ParameterImpl(
param['Name'],
datatype,
storage,
currentProgram,
))
return result_params, stack_offset
def get_results(result_types, stack_offset, func_offset):
"""
This function processes a list of result types and assigns each one to a register or stack, similar to `get_params`.
Since Ghidra only handles a single return value, the function returns a dynamically generated struct type
with similar storage characteristics when there are multiple return types.
Parameters
----------
result_types : list
The list of result types to be assigned. Each type in the list should be represented by a dictionary
containing at least a 'DataType' key.
stack_offset : int
The initial stack offset before assigning the result types.
func_offset: int
Additional per-function offset needed for results.
Returns
-------
tuple
A tuple containing the following elements:
- The datatype of the return value. If there are multiple return types, a dynamically generated struct
type is returned.
- A VariableStorage instance representing the storage location(s) of the return value(s).
"""
# special-case for no return type
if len(result_types) == 0:
return data.VoidDataType(), VariableStorage.VOID_STORAGE
I = 0
FP = 0
varnodes = []
if len(result_types) == 1:
ret_datatype = get_type(result_types[0]['DataType'])[0]
else:
ret_datatype = get_dynamic_type(
[result['DataType'] for result in result_types])
for param in result_types:
storage, _, I, FP, stack_offset = assign_type(
param['DataType'],
I,
FP,
stack_offset,
results=True,
func_offset=func_offset,
)
varnodes.extend(storage.getVarnodes())
merge_to_stack(varnodes)
varnodes.reverse()
storage = VariableStorage(currentProgram, *varnodes)
return ret_datatype, storage
def merge_to_stack(varnodes):
"""
Ghidra wants the last stack arguments, if any, to be a single argument;
appease it
"""
stack_results = list(
takewhile(
lambda node: not node.isRegister(),
varnodes[::-1],
)
)[::-1]
if len(stack_results) < 2:
return
size = sum(node.getSize() for node in stack_results)
if size == 0:
return
offset = stack_results[-1].getOffset()
node = VariableStorage(currentProgram, offset, size).getVarnodes()[0]
varnodes[-len(stack_results):] = [node]
def set_storage(func, param_types, result_types):
"""
This function assigns storage locations to the parameters and results of a given function following certain rules.
The parameters are assigned first and then the results. Stack offset is updated and aligned after assigning parameters.
The function storage information is then updated with these assignments.
Parameters
----------
func : Function
The function whose storage locations are to be assigned.
param_types : list
The list of parameter types to be assigned. Each type in the list should be represented by a dictionary
containing at least a 'DataType' key.
result_types : list
The list of result types to be assigned. Each type in the list should be represented by a dictionary
containing at least a 'DataType' key.
Returns
-------
None
"""
# "For each argument A of F, assign A."
try:
params, stack_offset = get_params(param_types)
func.replaceParameters(
FunctionUpdateType.CUSTOM_STORAGE, True, SourceType.USER_DEFINED, *params)
# "Add a pointer-alignment field to S"
stack_offset = align(stack_offset, ptr_size)
except:
traceback.print_exc()
return
# "For each result R of F, assign R"
try:
func_offset = func.stackFrame.frameSize - func.stackFrame.parameterOffset - func.stackFrame.parameterSize
ret_datatype, ret_storage = get_results(result_types, stack_offset, func_offset)
func.setReturn(ret_datatype, ret_storage, SourceType.USER_DEFINED)
except:
traceback.print_exc()
return
def recursive_struct_unpack(datatype):
"""
This function takes in a datatype and recursively unpacks it into its component types.
It is mainly used to facilitate the assignment of storage locations to composite types
in registers. For non-composite types, the function simply yields the original type.
For structures, it recursively yields each component type.
Parameters
----------
datatype : DataType
The datatype to be unpacked.
Yields
-------
DataType
The component types of the input datatype.
Note
----
For array types of length 0, the function does nothing. For arrays of length 1,
it recursively register-assigns the one element. For complex types, it recursively
register-assigns its real and imaginary parts. For integral types that fit into two
integer registers, it assigns the least significant and most significant halves of
the value to registers.
"""
if isinstance(datatype, data.StructureDataType):
for component in datatype.getComponents():
# no `yield from` in py2
for v in recursive_struct_unpack(component.getDataType()):
yield v
elif isinstance(datatype, data.ArrayDataType):
num_elements = datatype.getNumElements()
# "If T is an array type of length 0, do nothing."
# "If T is an array type of length 1, recursively register-assign
# its one element."
if num_elements >= 2:
yield datatype
elif num_elements == 1:
yield datatype.getDataType()
# "If T is a complex type, recursively register-assign
# its real and imaginary parts."
elif isinstance(datatype, data.AbstractComplexDataType):
if isinstance(datatype, data.Complex16DataType):
float_t = data.Float8DataType
else:
float_t = data.Float4DataType
yield float_t()
yield float_t()
# "If T is an integral type that fits in two integer registers,
# assign the least significant and most significant halves of V
# to registers I and I+1"
elif ptr_size == 4 and isinstance(datatype, (data.QWordDataType, data.SignedQWordDataType)):
if isinstance(datatype, data.QWordDataType):
half_num_t = data.DWordDataType