ida-domain-api
Domain API for IDA Pro
Use this skill to efficiently use the Domain API for IDA Pro, which is easier and more concise than the legacy IDA Python SDK.
Always prefer the IDA Domain API over the legacy low-level IDA Python SDK. The Domain API provides a clean, Pythonic interface that is easier to use and understand.
Documentation Resources
| Resource | URL |
|---|---|
| LLM-optimized overview | https://ida-domain.docs.hex-rays.com/llms.txt |
| Getting Started | https://ida-domain.docs.hex-rays.com/getting_started/index.md |
| Examples | https://ida-domain.docs.hex-rays.com/examples/index.md |
| API Reference | https://ida-domain.docs.hex-rays.com/ref/{module}/index.md |
Available API modules: bytes, comments, database, entries, flowchart, functions, heads, hooks, instructions, names, operands, segments, signature_files, strings, types, xrefs
To fetch specific API documentation, use URLs like:
https://ida-domain.docs.hex-rays.com/ref/functions/index.md- Function analysis APIhttps://ida-domain.docs.hex-rays.com/ref/xrefs/index.md- Cross-reference APIhttps://ida-domain.docs.hex-rays.com/ref/strings/index.md- String analysis API
Opening a Database
from ida_domain import Database
from ida_domain.database import IdaCommandOptions
# Open an existing .i64/.idb
ida_options = IdaCommandOptions(auto_analysis=False, new_database=False)
with Database.open("path/to/sample.i64", ida_options, save_on_close=False) as db:
pass
# Analyze a raw input file and create a new database
ida_options = IdaCommandOptions(
auto_analysis=True,
new_database=True,
output_database="path/to/cache/sample.i64",
load_resources=True,
)
with Database.open("path/to/input.exe", ida_options, save_on_close=True) as db:
pass
Commonly Used IdaCommandOptions
IdaCommandOptions maps directly to IDA command-line switches. Two options are especially common for headless analysis tools:
load_resources=True (maps to -R): loads MS Windows exe resources. Important for PE analysis that needs resource data.
plugin_options (maps to -O): pass options to IDA plugins. The most common use is disabling Lumina to prevent it from injecting bad or non-deterministic names:
ida_options = IdaCommandOptions(
auto_analysis=True,
new_database=True,
output_database=str(cache_path),
load_resources=True,
plugin_options="lumina:host=0.0.0.0 -Osecondary_lumina:host=0.0.0.0",
)
This sets both primary and secondary Lumina server addresses to 0.0.0.0, effectively disabling Lumina lookups. The plugin_options field is a raw string; build_args() emits -O{value} verbatim, so embedding -O inside the value for additional plugin options works correctly — the above produces -Olumina:host=0.0.0.0 -Osecondary_lumina:host=0.0.0.0.
Other useful fields: processor (-p), log_file (-L), script_file (-S), db_compression (-P). See the IdaCommandOptions docstring for the full list.
Transparent Database Cache for Headless Tools
For repeatable CLI tools, do not re-analyze raw binaries every run. Prefer this pattern:
- if the input is already an
.i64or.idb, use it directly - otherwise hash the raw input and use the SHA-256 as the cache key
- create
<cache>/<sha256>.i64on demand - serialize access with a lock file and an extra
.namcheck, because another IDA process may have the database unpacked - create the cached database with
save_on_close=True - reopen cached databases read-only with
save_on_close=False - after requesting auto-analysis, call
ida_auto.auto_wait()before querying
import contextlib
import fcntl
import hashlib
import os
import time
from pathlib import Path
import ida_auto
from ida_domain import Database
from ida_domain.database import IdaCommandOptions
DATABASE_POLL_INTERVAL = 0.25
DATABASE_ACCESS_TIMEOUT = 5.0
DATABASE_ANALYSIS_TIMEOUT = 120.0
def get_cache_dir() -> Path:
root = Path(os.environ.get("XDG_CACHE_HOME", Path.home() / ".cache"))
return root / "your-tool"
def compute_sha256(path: Path) -> str:
digest = hashlib.sha256()
with path.open("rb") as f:
for chunk in iter(lambda: f.read(65536), b""):
digest.update(chunk)
return digest.hexdigest()
def wait_for_repack(db_path: Path, timeout: float) -> None:
nam_path = db_path.with_suffix(".nam")
deadline = time.monotonic() + timeout
while nam_path.exists():
if time.monotonic() >= deadline:
raise RuntimeError(f"database appears busy: {db_path}")
time.sleep(DATABASE_POLL_INTERVAL)
@contextlib.contextmanager
def database_access_guard(db_path: Path, timeout: float):
wait_for_repack(db_path, timeout)
lock_path = Path(str(db_path) + ".lock")
lock_fd = lock_path.open("w")
deadline = time.monotonic() + timeout
try:
while True:
try:
fcntl.flock(lock_fd, fcntl.LOCK_EX | fcntl.LOCK_NB)
break
except OSError:
if time.monotonic() >= deadline:
raise RuntimeError(f"timed out waiting for lock: {db_path}")
time.sleep(DATABASE_POLL_INTERVAL)
wait_for_repack(db_path, max(0.0, deadline - time.monotonic()))
yield
finally:
fcntl.flock(lock_fd, fcntl.LOCK_UN)
lock_fd.close()
def resolve_database(file_path: Path) -> Path:
if file_path.suffix.lower() in {".i64", ".idb"}:
return file_path
cache_dir = get_cache_dir()
cache_dir.mkdir(parents=True, exist_ok=True)
cache_path = cache_dir / f"{compute_sha256(file_path)}.i64"
if cache_path.exists():
return cache_path
with database_access_guard(cache_path, DATABASE_ANALYSIS_TIMEOUT):
if cache_path.exists():
return cache_path
ida_options = IdaCommandOptions(
auto_analysis=True,
new_database=True,
output_database=str(cache_path),
load_resources=True,
)
with Database.open(str(file_path), ida_options, save_on_close=True):
ida_auto.auto_wait()
if not cache_path.exists():
raise RuntimeError(f"analysis did not create {cache_path}")
return cache_path
@contextlib.contextmanager
def open_database_session(db_path: Path, auto_analysis: bool = False):
with database_access_guard(db_path, DATABASE_ACCESS_TIMEOUT):
ida_options = IdaCommandOptions(auto_analysis=auto_analysis, new_database=False)
with Database.open(str(db_path), ida_options, save_on_close=False) as db:
if auto_analysis:
ida_auto.auto_wait()
yield db
Notes:
- keep cached database creation quiet in normal mode; only log cache paths in verbose/debug mode
- if you need a different cache policy, keep the same three-phase guard: wait for
.nam, acquireflock, re-check.nam - if you must fall back to
idapro.open_database(...)for options not exposed byida-domain, import your local project modules beforeimport idapro, becauseidaprocan mutatesys.path - disable Lumina via
plugin_options="lumina:host=0.0.0.0 -Osecondary_lumina:host=0.0.0.0"inIdaCommandOptions(see "Commonly Used IdaCommandOptions" above); no need to fall back toidapro.open_database()for this
Key Database Properties
with Database.open(path, ida_options) as db:
db.minimum_ea # Start address
db.maximum_ea # End address
db.metadata # Database metadata
db.architecture # Target architecture
db.functions # All functions (iterable)
db.strings # All strings (iterable)
db.segments # Memory segments
db.names # Symbols and labels
db.entries # Entry points
db.types # Type definitions
db.comments # All comments
db.xrefs # Cross-reference utilities
db.bytes # Byte manipulation
db.instructions # Instruction access
Functions
Iterating Functions
# Iterate all functions
for func in db.functions:
print(db.functions.get_name(func))
# Get function count
count = len(db.functions)
If your report needs thunk functions or library functions, iterate db.functions directly and classify them by flags. Do not assume a higher-level wrapper already included them.
Finding Functions
func = db.functions.get_at(0x401000) # By address
func = db.functions.get_function_by_name("main") # By name
func = db.functions.get_next(ea) # Next function after ea
# Functions in range
for func in db.functions.get_between(start_ea, end_ea):
print(func.start_ea)
Function Properties
name = db.functions.get_name(func)
signature = db.functions.get_signature(func)
flags = db.functions.get_flags(func) # Returns FunctionFlags
# Check function attributes
db.functions.is_far(func)
db.functions.does_return(func)
Function Code
# Get disassembly lines
lines = db.functions.get_disassembly(func, remove_tags=True)
# Get decompiled pseudocode
pseudocode = db.functions.get_pseudocode(func, remove_tags=True)
# Get microcode
microcode = db.functions.get_microcode(func, remove_tags=True)
Function Analysis
# Get instructions in function
for insn in db.functions.get_instructions(func):
print(insn.ea)
# Get flowchart for basic blocks
flowchart = db.functions.get_flowchart(func)
for block in flowchart:
print(f"Block: {block.start_ea:#x} - {block.end_ea:#x}")
# Get callers/callees
callers = db.functions.get_callers(func)
callees = db.functions.get_callees(func)
# Get function chunks
for chunk in db.functions.get_chunks(func):
print(f"Chunk: {chunk.start_ea:#x}, main={chunk.is_main}")
# Get data items within function
for data_ea in db.functions.get_data_items(func):
print(f"Data at {data_ea:#x}")
Thunk-Aware Analysis
If your tool renders callers/callees, API usage, or function summaries, resolve thunks once and reuse the result everywhere. A good default is:
- check
FunctionFlags.THUNK - follow only single-target thunk chains
- stop on cycles, zero-target chains, or multi-target chains
- cap the depth so malformed databases cannot loop forever
from ida_domain.functions import FunctionFlags
MAX_THUNK_DEPTH = 5
def resolve_thunk(db, func):
current = func
seen = set()
for _ in range(MAX_THUNK_DEPTH):
if not (db.functions.get_flags(current) & FunctionFlags.THUNK):
return current
if current.start_ea in seen:
return current
seen.add(current.start_ea)
callees = list(db.functions.get_callees(current))
if len(callees) != 1:
return current
current = callees[0]
return current
Use the resolved target consistently for:
- caller lists
- callee lists
- API/import classification
- attaching per-function metadata like matches or tags
Local Variables
# Get all local variables
lvars = db.functions.get_local_variables(func)
for lvar in lvars:
print(f"{lvar.name}: {lvar.type_str}, arg={lvar.is_argument}")
# Find variable by name
lvar = db.functions.get_local_variable_by_name(func, "result")
# Get variable references in pseudocode
refs = db.functions.get_local_variable_references(func, lvar)
for ref in refs:
print(f"Line {ref.line_number}: {ref.access_type} in {ref.context}")
Modifying Functions
db.functions.set_name(func, "new_name")
db.functions.set_comment(func, "This function does X", repeatable=False)
db.functions.create(ea) # Create function at address
db.functions.remove(ea) # Remove function at address
Instructions
Iterating Instructions
# All instructions in database
for insn in db.instructions:
print(db.instructions.get_disassembly(insn))
# Instructions in range
for insn in db.instructions.get_between(start_ea, end_ea):
print(insn.ea)
Getting Instructions
insn = db.instructions.get_at(ea) # Decode at address
insn = db.instructions.get_previous(ea) # Previous instruction
Instruction Properties
disasm = db.instructions.get_disassembly(insn)
mnemonic = db.instructions.get_mnemonic(insn) # "mov", "push", etc.
db.instructions.is_valid(insn)
Control Flow Analysis
db.instructions.is_call_instruction(insn) # Is this a call?
db.instructions.is_indirect_jump_or_call(insn) # Indirect jump/call?
db.instructions.breaks_sequential_flow(insn) # Stops flow (ret, jmp)?
Working with Operands
count = db.instructions.get_operands_count(insn)
operands = db.instructions.get_operands(insn) # List of Operand objects
for op in operands:
info = op.get_info()
print(f"Operand {op.number}: {op.type.name}")
if isinstance(op, RegisterOperand):
print(f" Register: {op.get_register_name()}")
elif isinstance(op, ImmediateOperand):
print(f" Value: 0x{op.get_value():x}")
elif isinstance(op, MemoryOperand):
if op.is_direct_memory():
print(f" Memory: 0x{op.get_address():x}")
Segments
Iterating Segments
for segment in db.segments:
name = db.segments.get_name(segment)
size = db.segments.get_size(segment)
print(f"{name}: {segment.start_ea:#x} - {segment.end_ea:#x}")
count = len(db.segments)
Finding Segments
seg = db.segments.get_at(0x401000) # Segment containing address
seg = db.segments.get_by_name(".text") # By name
Segment Properties
name = db.segments.get_name(segment)
size = db.segments.get_size(segment)
bitness = db.segments.get_bitness(segment) # 16, 32, or 64
seg_class = db.segments.get_class(segment) # "CODE", "DATA", etc.
Creating Segments
from ida_domain.segments import PredefinedClass, AddSegmentFlags
# Add segment with explicit range
seg = db.segments.add(
seg_para=0,
start_ea=0x1000,
end_ea=0x2000,
seg_name="MySegment",
seg_class=PredefinedClass.CODE
)
# Append segment after last one
seg = db.segments.append(seg_para=0, seg_size=0x1000, seg_name="NewSeg")
Modifying Segments
from ida_domain.segments import SegmentPermissions, AddressingMode
db.segments.set_name(segment, "new_name")
db.segments.set_permissions(segment, SegmentPermissions.READ | SegmentPermissions.EXEC)
db.segments.add_permissions(segment, SegmentPermissions.WRITE)
db.segments.remove_permissions(segment, SegmentPermissions.WRITE)
db.segments.set_addressing_mode(segment, AddressingMode.BIT64)
db.segments.set_comment(segment, "Code section", repeatable=False)
Strings
Iterating Strings
for string in db.strings:
print(f"{string.address:#x}: {string}")
# By index
first_string = db.strings[0]
count = len(db.strings)
Finding Strings
string = db.strings.get_at(0x402000) # String at address
# Strings in range
for s in db.strings.get_between(start_ea, end_ea):
print(s.contents)
String Properties
print(string.address) # Address
print(string.length) # Length in characters
print(string.type) # StringType enum
print(string.encoding) # Internal encoding
print(string.contents) # UTF-8 bytes
print(str(string)) # Decoded string
Rebuilding String List
from ida_domain.strings import StringListConfig, StringType
config = StringListConfig(
string_types=[StringType.C, StringType.C_16],
min_len=3,
only_ascii_7bit=False
)
db.strings.rebuild(config)
db.strings.clear() # Clear string list
Xrefs
Getting References TO an Address
# All xrefs to an address
for xref in db.xrefs.to_ea(target_ea):
print(f"{xref.from_ea:#x} -> {xref.to_ea:#x} ({xref.type.name})")
# Just code references
for ea in db.xrefs.code_refs_to_ea(target_ea, flow=False):
print(f"Code ref from {ea:#x}")
# Just data references
for ea in db.xrefs.data_refs_to_ea(target_ea):
print(f"Data ref from {ea:#x}")
# Call references only
for ea in db.xrefs.calls_to_ea(func_ea):
print(f"Called from {ea:#x}")
# Detailed caller information
for caller in db.xrefs.get_callers(func_ea):
print(f"Called from {caller.name} at {caller.ea:#x}")
Getting References FROM an Address
# All xrefs from an address
for xref in db.xrefs.from_ea(source_ea):
print(f"{xref.from_ea:#x} -> {xref.to_ea:#x}")
# Code/data refs from
for ea in db.xrefs.code_refs_from_ea(source_ea):
print(f"Code ref to {ea:#x}")
for ea in db.xrefs.calls_from_ea(source_ea):
print(f"Calls {ea:#x}")
Data Access Analysis
# Who reads this data?
for ea in db.xrefs.reads_of_ea(data_ea):
print(f"Read by {ea:#x}")
# Who writes to this data?
for ea in db.xrefs.writes_to_ea(data_ea):
print(f"Written by {ea:#x}")
XrefInfo Properties
xref.is_call # Is this a call reference?
xref.is_jump # Is this a jump reference?
xref.is_read # Is this a data read?
xref.is_write # Is this a data write?
xref.is_flow # Is this ordinary flow?
xref.user # Is this user-defined?
Names
Iterating Names
for ea, name in db.names:
print(f"{ea:#x}: {name}")
count = len(db.names)
Getting Names
name = db.names.get_at(0x401000)
ea, name = db.names[0] # By index
Setting Names
from ida_domain.names import SetNameFlags
db.names.set_name(ea, "my_function")
db.names.set_name(ea, "my_func", flags=SetNameFlags.CHECK) # Validate chars
db.names.force_name(ea, "func") # Creates func_2 if func exists
db.names.delete(ea) # Remove name
Name Properties
db.names.is_valid_name("my_name") # Check if valid
db.names.is_public_name(ea) # Is public?
db.names.is_weak_name(ea) # Is weak?
db.names.make_name_public(ea)
db.names.make_name_non_public(ea)
db.names.make_name_weak(ea)
db.names.make_name_non_weak(ea)
Demangling
from ida_domain.names import DemangleFlags
demangled = db.names.get_demangled_name(ea)
demangled = db.names.get_demangled_name(ea, DemangleFlags.NORETTYPE)
demangled = db.names.demangle_name("?main@@YAXXZ")
Types
Getting Types
# By name
tinfo = db.types.get_by_name("MyStruct")
# At address
tinfo = db.types.get_at(ea)
# Iterate all types
for tinfo in db.types:
print(tinfo)
Parsing Types
# Parse declarations from string
errors = db.types.parse_declarations(None, "struct Point { int x; int y; };")
# Parse single declaration
tinfo = db.types.parse_one_declaration(None, "int (*callback)(void*)", "callback_t")
# Parse header file
errors = db.types.parse_header_file(library, Path("header.h"))
Applying Types
from ida_domain.types import TypeApplyFlags
db.types.apply_at(tinfo, ea, flags=TypeApplyFlags.DEFINITE)
Type Details
details = db.types.get_details(tinfo)
print(details.name)
print(details.size)
print(details.attributes)
# For structs/unions
if details.udt:
print(details.udt.num_members)
print(details.udt.attributes)
# For functions
if details.func:
print(details.func.attributes)
Type Libraries
# Load/create libraries
lib = db.types.load_library(Path("types.til"))
lib = db.types.create_library(Path("new.til"), "My Types")
# Import/export types
db.types.import_type(source_lib, "MyStruct")
db.types.export_type(dest_lib, "MyStruct")
# Save library
db.types.save_library(lib, Path("output.til"))
db.types.unload_library(lib)
Bytes
Reading Values
byte = db.bytes.get_byte_at(ea)
word = db.bytes.get_word_at(ea)
dword = db.bytes.get_dword_at(ea)
qword = db.bytes.get_qword_at(ea)
float_val = db.bytes.get_float_at(ea)
double_val = db.bytes.get_double_at(ea)
# Read multiple bytes
data = db.bytes.get_bytes_at(ea, size=16)
original = db.bytes.get_original_bytes_at(ea, size=16)
# Read strings
string = db.bytes.get_string_at(ea)
cstring = db.bytes.get_cstring_at(ea, max_length=256)
Writing Values
db.bytes.set_byte_at(ea, 0x90)
db.bytes.set_word_at(ea, 0x1234)
db.bytes.set_dword_at(ea, 0x12345678)
db.bytes.set_qword_at(ea, 0x123456789ABCDEF0)
db.bytes.set_bytes_at(ea, b"\x90\x90\x90")
Patching (with History)
db.bytes.patch_byte_at(ea, 0x90) # Saves original
db.bytes.patch_bytes_at(ea, data)
db.bytes.revert_byte_at(ea) # Restore original
# Get original values
orig = db.bytes.get_original_byte_at(ea)
Searching
from ida_domain.bytes import SearchFlags
# Find bytes
ea = db.bytes.find_bytes_between(b"\x55\x89\xe5", start_ea, end_ea)
# Find all occurrences
addresses = db.bytes.find_binary_sequence(b"\x90\x90")
# Find text
ea = db.bytes.find_text_between("error", flags=SearchFlags.DOWN)
# Find immediate value
ea = db.bytes.find_immediate_between(0x1234)
Creating Data Items
from ida_domain.strings import StringType
db.bytes.create_byte_at(ea, count=4)
db.bytes.create_word_at(ea)
db.bytes.create_dword_at(ea, count=10) # Array of 10 dwords
db.bytes.create_qword_at(ea)
db.bytes.create_float_at(ea)
db.bytes.create_double_at(ea)
db.bytes.create_string_at(ea, string_type=StringType.C)
db.bytes.create_struct_at(ea, count=1, tid=struct_tid)
Querying Properties
size = db.bytes.get_data_size_at(ea)
db.bytes.is_value_initialized_at(ea)
db.bytes.is_code_at(ea)
db.bytes.is_data_at(ea)
db.bytes.is_head_at(ea)
db.bytes.is_tail_at(ea)
db.bytes.is_unknown_at(ea)
# Get disassembly at address
disasm = db.bytes.get_disassembly_at(ea)
Navigation
next_head = db.bytes.get_next_head(ea)
prev_head = db.bytes.get_previous_head(ea)
next_addr = db.bytes.get_next_address(ea)
prev_addr = db.bytes.get_previous_address(ea)
Comments
Regular Comments
from ida_domain.comments import CommentKind
# Get comment
info = db.comments.get_at(ea, CommentKind.REGULAR)
if info:
print(info.comment)
# Set comment
db.comments.set_at(ea, "This is important", CommentKind.REGULAR)
db.comments.set_at(ea, "Shows everywhere", CommentKind.REPEATABLE)
# Delete comment
db.comments.delete_at(ea, CommentKind.ALL)
Iterating Comments
for comment_info in db.comments:
print(f"{comment_info.ea:#x}: {comment_info.comment}")
# All comment types
for info in db.comments.get_all(CommentKind.ALL):
print(f"{info.ea:#x} (repeatable={info.repeatable}): {info.comment}")
Extra Comments (Anterior/Posterior)
from ida_domain.comments import ExtraCommentKind
# Set extra comment
db.comments.set_extra_at(ea, index=0, comment="Before line", kind=ExtraCommentKind.ANTERIOR)
db.comments.set_extra_at(ea, index=0, comment="After line", kind=ExtraCommentKind.POSTERIOR)
# Get extra comments
comment = db.comments.get_extra_at(ea, index=0, kind=ExtraCommentKind.ANTERIOR)
for comment in db.comments.get_all_extra_at(ea, ExtraCommentKind.ANTERIOR):
print(comment)
# Delete
db.comments.delete_extra_at(ea, index=0, kind=ExtraCommentKind.ANTERIOR)
Entries
Iterating Entry Points
for entry in db.entries:
print(f"{entry.ordinal}: {entry.name} at {entry.address:#x}")
count = len(db.entries)
first = db.entries[0]
Finding Entries
entry = db.entries.get_at(ea) # By address
entry = db.entries.get_by_ordinal(1) # By ordinal
entry = db.entries.get_by_name("main") # By name
entry = db.entries.get_at_index(0) # By index
Entry Properties
print(entry.ordinal)
print(entry.address)
print(entry.name)
print(entry.forwarder_name)
entry.has_forwarder()
Modifying Entries
db.entries.add(address=ea, name="new_entry", ordinal=10)
db.entries.rename(ordinal=10, new_name="renamed_entry")
db.entries.set_forwarder(ordinal=10, forwarder_name="other.dll!func")
db.entries.exists(ordinal=10)
Utility Iterators
for ordinal in db.entries.get_ordinals():
print(ordinal)
for addr in db.entries.get_addresses():
print(f"{addr:#x}")
for name in db.entries.get_names():
print(name)
for fwd in db.entries.get_forwarders():
print(f"{fwd.ordinal}: {fwd.name}")
Heads
Iterating Heads
for ea in db.heads:
print(f"Head at {ea:#x}")
# In range
for ea in db.heads.get_between(start_ea, end_ea):
print(ea)
Navigation
next_ea = db.heads.get_next(ea)
prev_ea = db.heads.get_previous(ea)
Head Properties
db.heads.is_head(ea) # Is start of item?
db.heads.is_tail(ea) # Is part of multi-byte item?
db.heads.is_code(ea) # Is instruction?
db.heads.is_data(ea) # Is data?
db.heads.is_unknown(ea) # Is unclassified?
size = db.heads.size(ea)
start, end = db.heads.bounds(ea)
Flowchart
Creating Flowcharts
from ida_domain.flowchart import FlowChart, FlowChartFlags
# From function
flowchart = FlowChart(db, func=my_func)
# From address range
flowchart = FlowChart(db, bounds=(start_ea, end_ea))
# With predecessor info
flowchart = FlowChart(db, func=my_func, flags=FlowChartFlags.PREDS)
Iterating Basic Blocks
for block in flowchart:
print(f"Block {block.id}: {block.start_ea:#x} - {block.end_ea:#x}")
# By index
block = flowchart[0]
count = len(flowchart)
Block Navigation
for succ in block.get_successors():
print(f"Successor: {succ.id}")
for pred in block.get_predecessors():
print(f"Predecessor: {pred.id}")
succ_count = block.count_successors()
pred_count = block.count_predecessors()
Block Instructions
for insn in block.get_instructions():
print(f"{insn.ea:#x}")
Enums Reference
XrefType
from ida_domain.xrefs import XrefType
XrefType.OFFSET # Offset reference
XrefType.WRITE # Write access
XrefType.READ # Read access
XrefType.CALL_FAR # Far call
XrefType.CALL_NEAR # Near call
XrefType.JUMP_FAR # Far jump
XrefType.JUMP_NEAR # Near jump
XrefType.ORDINARY_FLOW # Sequential flow
xref_type.is_code_ref() # Check if code ref
xref_type.is_data_ref() # Check if data ref
FunctionFlags
from ida_domain.functions import FunctionFlags
FunctionFlags.NORET # Doesn't return
FunctionFlags.LIB # Library function
FunctionFlags.THUNK # Thunk function
FunctionFlags.HIDDEN # Hidden chunk
FunctionFlags.LUMINA # From Lumina
FunctionFlags.FAR # Far function
FunctionFlags.FRAME # Uses frame pointer
LocalVariableAccessType
from ida_domain.functions import LocalVariableAccessType
LocalVariableAccessType.READ # Variable is read
LocalVariableAccessType.WRITE # Variable is written
LocalVariableAccessType.ADDRESS # Address taken (&var)
LocalVariableContext
from ida_domain.functions import LocalVariableContext
LocalVariableContext.ASSIGNMENT # var = expr
LocalVariableContext.CONDITION # if (var)
LocalVariableContext.CALL_ARG # func(var)
LocalVariableContext.RETURN # return var
LocalVariableContext.ARITHMETIC # var + 1
LocalVariableContext.COMPARISON # var == x
LocalVariableContext.ARRAY_INDEX # arr[var]
LocalVariableContext.POINTER_DEREF # *var
LocalVariableContext.CAST # (type)var
OperandType
from ida_domain.operands import OperandType
OperandType.REGISTER # Register
OperandType.MEMORY # Direct memory
OperandType.PHRASE # Register addressing
OperandType.DISPLACEMENT # Reg + displacement
OperandType.IMMEDIATE # Immediate value
OperandType.FAR_ADDRESS # Far address
OperandType.NEAR_ADDRESS # Near address
StringType
from ida_domain.strings import StringType
StringType.C # C-style null-terminated
StringType.C_16 # C-style 16-bit
StringType.C_32 # C-style 32-bit
StringType.PASCAL # Pascal-style
StringType.LEN2 # 2-byte length prefix
StringType.LEN4 # 4-byte length prefix
SegmentPermissions
from ida_domain.segments import SegmentPermissions
SegmentPermissions.READ
SegmentPermissions.WRITE
SegmentPermissions.EXEC
SegmentPermissions.ALL
AddressingMode
from ida_domain.segments import AddressingMode
AddressingMode.BIT16 # 16-bit segment
AddressingMode.BIT32 # 32-bit segment
AddressingMode.BIT64 # 64-bit segment
PredefinedClass
from ida_domain.segments import PredefinedClass
PredefinedClass.CODE
PredefinedClass.DATA
PredefinedClass.CONST
PredefinedClass.STACK
PredefinedClass.BSS
PredefinedClass.XTRN
CommentKind
from ida_domain.comments import CommentKind
CommentKind.REGULAR # Normal comment
CommentKind.REPEATABLE # Shows at all refs
CommentKind.ALL # Both types
ExtraCommentKind
from ida_domain.comments import ExtraCommentKind
ExtraCommentKind.ANTERIOR # Before the line
ExtraCommentKind.POSTERIOR # After the line
TypeAttr
from ida_domain.types import TypeAttr
TypeAttr.INT, TypeAttr.UINT
TypeAttr.FLOAT, TypeAttr.DOUBLE
TypeAttr.PTR, TypeAttr.ARRAY
TypeAttr.FUNC, TypeAttr.STRUCT
TypeAttr.UNION, TypeAttr.ENUM
TypeAttr.CONST, TypeAttr.VOLATILE
FlowChartFlags
from ida_domain.flowchart import FlowChartFlags
FlowChartFlags.NONE # Default
FlowChartFlags.NOEXT # Don't compute external blocks
FlowChartFlags.PREDS # Compute predecessors
Common Patterns
Find All Calls to a Function
func = db.functions.get_function_by_name("malloc")
if func:
for caller in db.xrefs.get_callers(func.start_ea):
print(f"Called from {caller.name} at {caller.ea:#x}")
Rename Functions Based on Strings
for func in db.functions:
for insn in db.functions.get_instructions(func):
for xref in db.xrefs.from_ea(insn.ea):
string = db.strings.get_at(xref.to_ea)
if string and "error" in str(string).lower():
db.functions.set_name(func, f"func_with_error_{func.start_ea:x}")
break
Analyze Function Complexity
func = db.functions.get_at(ea)
flowchart = db.functions.get_flowchart(func)
print(f"Basic blocks: {len(flowchart)}")
total_edges = sum(block.count_successors() for block in flowchart)
print(f"Cyclomatic complexity: {total_edges - len(flowchart) + 2}")
Export Function Pseudocode
for func in db.functions:
name = db.functions.get_name(func)
try:
pseudocode = db.functions.get_pseudocode(func)
print(f"// {name}")
for line in pseudocode:
print(line)
except RuntimeError:
print(f"// Could not decompile {name}")
Find Cross-References to Strings
for string in db.strings:
refs = list(db.xrefs.to_ea(string.address))
if refs:
print(f'"{string}" referenced from:')
for xref in refs:
print(f" {xref.from_ea:#x}")
Legacy API (Avoid)
The legacy idc, idautils, ida_funcs APIs still work but are harder to use. Prefer the Domain API for new analysis scripts. Only use legacy APIs when Domain API doesn't expose needed functionality.
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