tests: add snapshot tests for feature extraction (#3069)

Introduces data-driven snapshot tests that regenerate capa freeze files
for a curated set of samples in the tests/data submodule and compare the
bytes against committed fixtures under tests/fixtures/freezes/. Any
change that perturbs feature extraction surfaces as a test failure with
a feature-count delta and a truncated unified diff.

CHANGELOG.md

@@ -3,6 +3,7 @@
 ## master (unreleased)
 
 ### New Features
+- freeze: add `--reproducible` flag that zeros dynamic header metadata
 
 ### Breaking Changes
 
@@ -131,6 +132,7 @@
 - ci: use explicit and per job permissions @mike-hunhoff #3002
 - replace black/isort/flake8 with ruff @mike-hunhoff #2992
 - ci: update GitHub Actions to support Node.js 24 (deprecate Node.js 20) @mr-tz #2984
+- tests: add snapshot tests for feature extraction @williballenthin #3069
 
 ### Raw diffs
 - [capa v9.4.0...master](https://github.com/mandiant/capa/compare/v9.4.0...master)

capa/features/extractors/dotnetfile.py

@@ -98,7 +98,7 @@ def extract_file_namespace_features(pe: dnfile.dnPE, **kwargs) -> Iterator[tuple
     # namespaces may be empty, discard
     namespaces.discard("")
 
-    for namespace in namespaces:
+    for namespace in sorted(namespaces):
         # namespace do not have an associated token, so we yield 0x0
         yield Namespace(namespace), NO_ADDRESS
 

capa/features/freeze/__init__.py

@@ -92,10 +92,7 @@ class Address(HashableModel):
             return cls(type=AddressType.THREAD, value=(a.process.ppid, a.process.pid, a.tid))
 
         elif isinstance(a, capa.features.address.DynamicCallAddress):
-            return cls(
-                type=AddressType.CALL,
-                value=(a.thread.process.ppid, a.thread.process.pid, a.thread.tid, a.id),
-            )
+            return cls(type=AddressType.CALL, value=(a.thread.process.ppid, a.thread.process.pid, a.thread.tid, a.id))
 
         elif a == capa.features.address.NO_ADDRESS or isinstance(a, capa.features.address._NoAddress):
             return cls(type=AddressType.NO_ADDRESS, value=None)
@@ -346,9 +343,14 @@ class Freeze(BaseModel):
     model_config = ConfigDict(populate_by_name=True)
 
 
-def dumps_static(extractor: StaticFeatureExtractor) -> str:
+def dumps_static(extractor: StaticFeatureExtractor, reproducible: bool = False) -> str:
     """
     serialize the given extractor to a string
+
+    When `reproducible` is true, the freeze's dynamic header metadata (e.g. the
+    embedded capa version) is zeroed out so that output is identical across
+    capa versions for a given extractor. This is used by the feature snapshot
+    tests to keep fixtures stable across version bumps.
     """
     global_features: list[GlobalFeature] = []
     for feature, _ in extractor.extract_global_features():
@@ -357,6 +359,7 @@ def dumps_static(extractor: StaticFeatureExtractor) -> str:
                 feature=feature_from_capa(feature),
             )
         )
+    global_features.sort(key=lambda gf: gf.feature.model_dump_json())
 
     file_features: list[FileFeature] = []
     for feature, address in extractor.extract_file_features():
@@ -366,6 +369,7 @@ def dumps_static(extractor: StaticFeatureExtractor) -> str:
                 address=Address.from_capa(address),
             )
         )
+    file_features.sort(key=lambda ff: (ff.address, ff.feature.model_dump_json()))
 
     function_features: list[FunctionFeatures] = []
     for f in extractor.get_functions():
@@ -378,6 +382,7 @@ def dumps_static(extractor: StaticFeatureExtractor) -> str:
             )
             for feature, addr in extractor.extract_function_features(f)
         ]
+        ffeatures.sort(key=lambda ff: (ff.address, ff.feature.model_dump_json()))
 
         basic_blocks = []
         for bb in extractor.get_basic_blocks(f):
@@ -390,6 +395,7 @@ def dumps_static(extractor: StaticFeatureExtractor) -> str:
                 )
                 for feature, addr in extractor.extract_basic_block_features(f, bb)
             ]
+            bbfeatures.sort(key=lambda bf: (bf.address, bf.feature.model_dump_json()))
 
             instructions = []
             for insn in extractor.get_instructions(f, bb):
@@ -402,6 +408,7 @@ def dumps_static(extractor: StaticFeatureExtractor) -> str:
                     )
                     for feature, addr in extractor.extract_insn_features(f, bb, insn)
                 ]
+                ifeatures.sort(key=lambda i: (i.address, i.feature.model_dump_json()))
 
                 instructions.append(
                     InstructionFeatures(
@@ -410,6 +417,7 @@ def dumps_static(extractor: StaticFeatureExtractor) -> str:
                     )
                 )
 
+            instructions.sort(key=lambda i: i.address)
             basic_blocks.append(
                 BasicBlockFeatures(
                     address=bbaddr,
@@ -418,6 +426,7 @@ def dumps_static(extractor: StaticFeatureExtractor) -> str:
                 )
             )
 
+        basic_blocks.sort(key=lambda bb: bb.address)
         function_features.append(
             FunctionFeatures(
                 address=faddr,
@@ -426,18 +435,21 @@ def dumps_static(extractor: StaticFeatureExtractor) -> str:
             )
         )
 
+    function_features.sort(key=lambda ff: ff.address)
+
     features = StaticFeatures(
         global_=global_features,  # type: ignore[call-arg]  # pydantic alias "global" not recognized by type checkers
         file=tuple(file_features),
         functions=tuple(function_features),
     )
 
+    extractor_version = "" if reproducible else capa.version.__version__
     freeze = Freeze(
         version=CURRENT_VERSION,
         base_address=Address.from_capa(extractor.get_base_address()),  # type: ignore[call-arg]  # pydantic alias "base address" not recognized by type checkers
         sample_hashes=extractor.get_sample_hashes(),
         flavor="static",
-        extractor=Extractor(name=extractor.__class__.__name__),
+        extractor=Extractor(name=extractor.__class__.__name__, version=extractor_version),
         features=features,
     )
     # type checkers are unable to recognise `base_address` as an argument due to alias
@@ -445,9 +457,11 @@ def dumps_static(extractor: StaticFeatureExtractor) -> str:
     return freeze.model_dump_json()
 
 
-def dumps_dynamic(extractor: DynamicFeatureExtractor) -> str:
+def dumps_dynamic(extractor: DynamicFeatureExtractor, reproducible: bool = False) -> str:
     """
     serialize the given extractor to a string
+
+    See `dumps_static` for `reproducible`.
     """
     global_features: list[GlobalFeature] = []
     for feature, _ in extractor.extract_global_features():
@@ -456,6 +470,7 @@ def dumps_dynamic(extractor: DynamicFeatureExtractor) -> str:
                 feature=feature_from_capa(feature),
             )
         )
+    global_features.sort(key=lambda gf: gf.feature.model_dump_json())
 
     file_features: list[FileFeature] = []
     for feature, address in extractor.extract_file_features():
@@ -465,6 +480,7 @@ def dumps_dynamic(extractor: DynamicFeatureExtractor) -> str:
                 address=Address.from_capa(address),
             )
         )
+    file_features.sort(key=lambda ff: (ff.address, ff.feature.model_dump_json()))
 
     process_features: list[ProcessFeatures] = []
     for p in extractor.get_processes():
@@ -478,6 +494,7 @@ def dumps_dynamic(extractor: DynamicFeatureExtractor) -> str:
             )
             for feature, addr in extractor.extract_process_features(p)
         ]
+        pfeatures.sort(key=lambda pf: (pf.address, pf.feature.model_dump_json()))
 
         threads = []
         for t in extractor.get_threads(p):
@@ -490,6 +507,7 @@ def dumps_dynamic(extractor: DynamicFeatureExtractor) -> str:
                 )
                 for feature, addr in extractor.extract_thread_features(p, t)
             ]
+            tfeatures.sort(key=lambda tf: (tf.address, tf.feature.model_dump_json()))
 
             calls = []
             for call in extractor.get_calls(p, t):
@@ -503,6 +521,7 @@ def dumps_dynamic(extractor: DynamicFeatureExtractor) -> str:
                     )
                     for feature, addr in extractor.extract_call_features(p, t, call)
                 ]
+                cfeatures.sort(key=lambda cf: (cf.address, cf.feature.model_dump_json()))
 
                 calls.append(
                     CallFeatures(
@@ -512,6 +531,7 @@ def dumps_dynamic(extractor: DynamicFeatureExtractor) -> str:
                     )
                 )
 
+            calls.sort(key=lambda c: c.address)
             threads.append(
                 ThreadFeatures(
                     address=taddr,
@@ -520,6 +540,7 @@ def dumps_dynamic(extractor: DynamicFeatureExtractor) -> str:
                 )
             )
 
+        threads.sort(key=lambda t: t.address)
         process_features.append(
             ProcessFeatures(
                 address=paddr,
@@ -529,6 +550,8 @@ def dumps_dynamic(extractor: DynamicFeatureExtractor) -> str:
             )
         )
 
+    process_features.sort(key=lambda pf: pf.address)
+
     features = DynamicFeatures(
         global_=global_features,  # type: ignore[call-arg]  # pydantic alias "global" not recognized by type checkers
         file=tuple(file_features),
@@ -539,12 +562,13 @@ def dumps_dynamic(extractor: DynamicFeatureExtractor) -> str:
     get_base_addr = getattr(extractor, "get_base_address", None)
     base_addr = get_base_addr() if get_base_addr else capa.features.address.NO_ADDRESS
 
+    extractor_version = "" if reproducible else capa.version.__version__
     freeze = Freeze(
         version=CURRENT_VERSION,
         base_address=Address.from_capa(base_addr),  # type: ignore[call-arg]  # pydantic alias "base address" not recognized by type checkers
         sample_hashes=extractor.get_sample_hashes(),
         flavor="dynamic",
-        extractor=Extractor(name=extractor.__class__.__name__),
+        extractor=Extractor(name=extractor.__class__.__name__, version=extractor_version),
         features=features,
     )
     # type checkers are unable to recognise `base_address` as an argument due to alias
@@ -627,28 +651,28 @@ def loads_dynamic(s: str) -> DynamicFeatureExtractor:
 MAGIC = "capa0000".encode("ascii")
 
 
-def dumps(extractor: FeatureExtractor) -> str:
+def dumps(extractor: FeatureExtractor, reproducible: bool = False) -> str:
     """serialize the given extractor to a string."""
     if isinstance(extractor, StaticFeatureExtractor):
-        doc = dumps_static(extractor)
+        doc = dumps_static(extractor, reproducible=reproducible)
     elif isinstance(extractor, DynamicFeatureExtractor):
-        doc = dumps_dynamic(extractor)
+        doc = dumps_dynamic(extractor, reproducible=reproducible)
     else:
         raise ValueError("Invalid feature extractor")
 
     return doc
 
 
-def dump(extractor: FeatureExtractor) -> bytes:
+def dump(extractor: FeatureExtractor, reproducible: bool = False) -> bytes:
     """serialize the given extractor to a byte array."""
-    return MAGIC + zlib.compress(dumps(extractor).encode("utf-8"))
+    return MAGIC + zlib.compress(dumps(extractor, reproducible=reproducible).encode("utf-8"))
 
 
 def is_freeze(buf: bytes) -> bool:
     return buf[: len(MAGIC)] == MAGIC
 
 
-def loads(s: str):
+def loads(s: str) -> FeatureExtractor:
     doc = json.loads(s)
 
     if doc["version"] != CURRENT_VERSION:
@@ -662,7 +686,7 @@ def loads(s: str):
         raise ValueError(f"unsupported freeze format flavor: {doc['flavor']}")
 
 
-def load(buf: bytes):
+def load(buf: bytes) -> FeatureExtractor:
     """deserialize a set of features (as a NullFeatureExtractor) from a byte array."""
     if not is_freeze(buf):
         raise ValueError("missing magic header")
@@ -685,6 +709,11 @@ def main(argv=None):
     parser = argparse.ArgumentParser(description="save capa features to a file")
     capa.main.install_common_args(parser, {"input_file", "format", "backend", "os", "signatures"})
     parser.add_argument("output", type=str, help="Path to output file")
+    parser.add_argument(
+        "--reproducible",
+        action="store_true",
+        help="zero out dynamic header metadata (e.g. capa version) so output is stable across capa versions",
+    )
     args = parser.parse_args(args=argv)
 
     try:
@@ -696,11 +725,43 @@ def main(argv=None):
     except capa.main.ShouldExitError as e:
         return e.status_code
 
-    Path(args.output).write_bytes(dump(extractor))
+    output_path = Path(args.output)
+    output_path.write_bytes(dump(extractor, reproducible=args.reproducible))
+
+    # Log a manifest entry for the feature snapshot tests at INFO level. This
+    # makes it easy to copy/paste into
+    # `tests/fixtures/snapshots/features/manifest.json` when adding a new
+    # fixture or refreshing an existing one.
+    entry: dict[str, str] = {
+        "name": output_path.stem,
+        "sample": str(args.input_file),
+        "freeze": output_path.name,
+    }
+    if args.format and args.format != "auto":
+        entry["format"] = args.format
+    if args.backend and args.backend != "auto":
+        entry["backend"] = args.backend
+    if args.os and args.os != "auto":
+        entry["os"] = args.os
+    commit = _git_head_commit()
+    if commit:
+        entry["generated_at_commit"] = commit
+    logger.info("manifest entry: %s", json.dumps(entry))
 
     return 0
 
 
+def _git_head_commit() -> str:
+    """Return the HEAD commit, or empty string if this isn't a git checkout."""
+    import subprocess
+
+    try:
+        out = subprocess.check_output(["git", "rev-parse", "HEAD"], stderr=subprocess.DEVNULL)
+    except (subprocess.CalledProcessError, FileNotFoundError, OSError):
+        return ""
+    return out.decode("ascii", errors="replace").strip()
+
+
 if __name__ == "__main__":
     import sys
 

capa/features/freeze/__main__.py

@@ -0,0 +1,19 @@
+# Copyright 2026 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import sys
+
+from capa.features.freeze import main
+
+sys.exit(main())

tests/test_feature_snapshots.py

@@ -0,0 +1,256 @@
+# Copyright 2026 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""
+Data-driven feature snapshot tests.
+
+For every entry in `tests/fixtures/snapshots/features/manifest.json`, this
+module regenerates a capa freeze from the corresponding sample via
+`capa.features.freeze.main --reproducible`, compares it byte-for-byte
+against the committed `.frz` file, and on mismatch renders a unified diff
+of the freeze contents so a reviewer can see which features appeared,
+disappeared, or moved.
+
+A failing test means capa now extracts different features from the same
+sample than it used to. That can be intentional (you changed an extractor)
+or accidental (an unrelated change perturbed extraction); see the failure
+message for how to update the fixture or investigate.
+
+Refreshing a fixture after an intentional change::
+
+    python -m capa.features.freeze --reproducible \\
+        tests/data/<sample> tests/fixtures/snapshots/features/<name>.frz
+
+The manifest is edited by hand when samples are added or removed.
+"""
+
+from __future__ import annotations
+
+import json
+import zlib
+import difflib
+import tempfile
+from typing import Any, Optional
+from pathlib import Path
+
+import pytest
+from pydantic import BaseModel, ConfigDict
+
+import capa.features.freeze
+
+TESTS_DIR = Path(__file__).resolve().parent
+TESTS_DATA_DIR = TESTS_DIR / "data"
+FEATURE_SNAPSHOTS_DIR = TESTS_DATA_DIR / "fixtures" / "snapshots" / "features"
+MANIFEST_PATH = FEATURE_SNAPSHOTS_DIR / "manifest.json"
+
+
+class FeatureSnapshot(BaseModel):
+    """One entry in the feature snapshot manifest."""
+
+    model_config = ConfigDict(frozen=True)
+
+    name: str
+    sample: str
+    freeze: str
+    explanation: str = ""
+    # Git commit at which this fixture was last regenerated. Purely informational:
+    # on test failure we surface it so a reviewer can run `git log <commit>..HEAD`
+    # to see what's changed since. Not validated — humans keep it accurate.
+    generated_at_commit: Optional[str] = None
+    format: Optional[str] = None
+    backend: Optional[str] = None
+    os: Optional[str] = None
+
+    @property
+    def sample_path(self) -> Path:
+        return TESTS_DATA_DIR / self.sample
+
+    @property
+    def freeze_path(self) -> Path:
+        return FEATURE_SNAPSHOTS_DIR / self.freeze
+
+
+class Manifest(BaseModel):
+    version: int = 1
+    description: str = ""
+    snapshots: list[FeatureSnapshot]
+
+    @classmethod
+    def from_file(cls, path: Path = MANIFEST_PATH) -> Manifest:
+        return cls.model_validate_json(path.read_text(encoding="utf-8"))
+
+
+_SNAPSHOTS = Manifest.from_file().snapshots
+
+
+def _ids(snapshots: list[FeatureSnapshot]) -> list[str]:
+    return [s.name for s in snapshots]
+
+
+def _regenerate(snapshot: FeatureSnapshot) -> bytes:
+    """Run the freeze CLI against the sample and return the produced bytes."""
+    import logging
+
+    root = logging.getLogger()
+    handlers_before = list(root.handlers)
+
+    with tempfile.TemporaryDirectory() as tmp:
+        out_path = Path(tmp) / "out.frz"
+        argv = [str(snapshot.sample_path), str(out_path), "--reproducible"]
+        if snapshot.format is not None:
+            argv += ["--format", snapshot.format]
+        if snapshot.backend is not None:
+            argv += ["--backend", snapshot.backend]
+        if snapshot.os is not None:
+            argv += ["--os", snapshot.os]
+        rc = capa.features.freeze.main(argv)
+
+        # capa.main.handle_common_args() unconditionally appends a RichHandler
+        # to the root logger on every call. Since we call freeze.main() once per
+        # snapshot, handlers accumulate and duplicate every log line. Remove
+        # whatever was added so the next iteration starts clean.
+        for h in root.handlers[:]:
+            if h not in handlers_before:
+                root.removeHandler(h)
+
+        if rc != 0:
+            raise RuntimeError(f"capa.features.freeze.main exited with status {rc}")
+        return out_path.read_bytes()
+
+
+def _doc_to_lines(doc: dict[str, Any]) -> list[str]:
+    """
+    Render a freeze JSON document to a list of lines suitable for unified-diffing.
+
+    We pretty-print with sorted keys so that field reordering (which is
+    meaningful for features) is preserved while key ordering within objects is
+    normalized.
+    """
+    return json.dumps(doc, indent=2, sort_keys=True).splitlines(keepends=True)
+
+
+def _load_freeze_doc(buf: bytes) -> dict[str, Any]:
+    """deserialize bytes to capa.features.freeze.Freeze, as JSON-like object.
+
+    capa.features.freeze.loads() deserializes into a FeatureExtractor, not Freeze (or JSON, which we need for diffing).
+    """
+    magic = capa.features.freeze.MAGIC
+    assert buf[: len(magic)] == magic, "missing freeze magic header"
+    return json.loads(zlib.decompress(buf[len(magic) :]).decode("utf-8"))
+
+
+def _format_mismatch(snapshot: FeatureSnapshot, expected: bytes, actual: bytes) -> str:
+    """Build a failure message describing how the freezes differ."""
+    lines = [
+        f"feature snapshot drift for {snapshot.name!r}:",
+        f"  sample:          {snapshot.sample}",
+        f"  expected freeze: {snapshot.freeze_path}",
+        "  actual  freeze:  <regenerated>",
+        f"  expected size:   {len(expected):,} bytes",
+        f"  actual   size:   {len(actual):,} bytes",
+    ]
+    if snapshot.generated_at_commit:
+        lines.append(f"  last regenerated at: {snapshot.generated_at_commit}")
+
+    expected_doc = _load_freeze_doc(expected)
+    actual_doc = _load_freeze_doc(actual)
+
+    expected_lines = _doc_to_lines(expected_doc)
+    actual_lines = _doc_to_lines(actual_doc)
+
+    # difflib.unified_diff uses SequenceMatcher which is O(n^2) for dissimilar
+    # sequences. Large freeze documents (e.g. mimikatz) expand to millions of
+    # JSON lines, making a naive diff take hours. Skip it when the input is too
+    # large — the regeneration command below is the intended way to inspect.
+    MAX_DIFFABLE_LINES = 100_000
+    MAX_DIFF_LINES = 200
+
+    total_lines = len(expected_lines) + len(actual_lines)
+    lines.append("")
+    if total_lines > MAX_DIFFABLE_LINES:
+        lines.append(
+            f"diff skipped: documents too large ({len(expected_lines):,} + {len(actual_lines):,} lines)."
+            " Regenerate the fixture locally to inspect."
+        )
+    else:
+        diff = list(
+            difflib.unified_diff(
+                expected_lines,
+                actual_lines,
+                fromfile=f"expected/{snapshot.freeze}",
+                tofile=f"actual/{snapshot.freeze}",
+                n=2,
+            )
+        )
+
+        if len(diff) > MAX_DIFF_LINES:
+            lines.append(f"unified diff ({len(diff)} lines, truncated to {MAX_DIFF_LINES}):")
+            diff = diff[:MAX_DIFF_LINES]
+        else:
+            lines.append(f"unified diff ({len(diff)} lines):")
+        lines.extend(line.rstrip("\n") for line in diff)
+    lines.append("")
+    lines.append("how and when to update this snapshot:")
+    lines.append("  If this change to feature extraction is INTENTIONAL (you edited an extractor):")
+    lines.append("    1. regenerate the fixture:")
+    lines.append(
+        f"         python -m capa.features.freeze --reproducible \\\n"
+        f"             {snapshot.sample_path} {snapshot.freeze_path}"
+    )
+    lines.append(
+        "    2. update `generated_at_commit` in manifest.json to HEAD (the freeze CLI emits a suggested entry at INFO)."
+    )
+    lines.append("  If it is ACCIDENTAL (extraction shifted as a side effect of an unrelated change),")
+    lines.append("    do NOT update the fixture; fix the root cause instead.")
+    if snapshot.generated_at_commit:
+        lines.append(
+            f"  To see what's changed since this fixture was last regenerated:\n"
+            f"         git log {snapshot.generated_at_commit}..HEAD -- capa/"
+        )
+    return "\n".join(lines)
+
+
+_BACKEND_AVAILABLE: dict[str, bool] = {}
+
+
+def _is_backend_available(backend: str) -> bool:
+    if backend not in _BACKEND_AVAILABLE:
+        if backend == "ida":
+            try:
+                import idapro  # noqa: F401
+
+                _BACKEND_AVAILABLE[backend] = True
+            except ImportError:
+                _BACKEND_AVAILABLE[backend] = False
+        else:
+            _BACKEND_AVAILABLE[backend] = True
+    return _BACKEND_AVAILABLE[backend]
+
+
+@pytest.mark.parametrize("snapshot", _SNAPSHOTS, ids=_ids(_SNAPSHOTS))
+def test_feature_snapshot(snapshot: FeatureSnapshot):
+    """
+    Regenerate the freeze for `snapshot.sample` and assert it matches
+    `snapshot.freeze` byte-for-byte.
+    """
+    if snapshot.backend and not _is_backend_available(snapshot.backend):
+        pytest.skip(f"{snapshot.backend} backend not available")
+
+    expected = snapshot.freeze_path.read_bytes()
+    actual = _regenerate(snapshot)
+
+    if actual == expected:
+        return
+
+    pytest.fail(_format_mismatch(snapshot, expected, actual))

tests/test_freeze_dynamic.py

@@ -122,7 +122,7 @@ def test_null_feature_extractor():
 
 
 def compare_extractors(a: DynamicFeatureExtractor, b: DynamicFeatureExtractor):
-    assert list(a.extract_file_features()) == list(b.extract_file_features())
+    assert sorted(set(a.extract_file_features())) == sorted(set(b.extract_file_features()))
 
     assert addresses(a.get_processes()) == addresses(b.get_processes())
     for p in a.get_processes():

tests/test_freeze_static.py

@@ -129,7 +129,7 @@ def test_null_feature_extractor():
 
 
 def compare_extractors(a, b):
-    assert list(a.extract_file_features()) == list(b.extract_file_features())
+    assert sorted(set(a.extract_file_features())) == sorted(set(b.extract_file_features()))
 
     assert addresses(a.get_functions()) == addresses(b.get_functions())
     for f in a.get_functions():