mirror of
https://github.com/mandiant/capa.git
synced 2026-07-01 10:34:57 -07:00
Willi Ballenthin
45 lines
1.7 KiB
Python
45 lines
1.7 KiB
Python
# Copyright (C) 2023 Mandiant, Inc. All Rights Reserved.
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at: [package root]/LICENSE.txt
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# Unless required by applicable law or agreed to in writing, software distributed under the License
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# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and limitations under the License.
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import ida_kernwin
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from PyQt5 import QtCore
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from capa.ida.plugin.error import UserCancelledError
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from capa.features.extractors.ida.extractor import IdaFeatureExtractor
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from capa.features.extractors.base_extractor import FunctionHandle
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class CapaExplorerProgressIndicator(QtCore.QObject):
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"""implement progress signal, used during feature extraction"""
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progress = QtCore.pyqtSignal(str)
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def update(self, text):
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"""emit progress update
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check if user cancelled action, raise exception for parent function to catch
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"""
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if ida_kernwin.user_cancelled():
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raise UserCancelledError("user cancelled")
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self.progress.emit(f"extracting features from {text}")
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class CapaExplorerFeatureExtractor(IdaFeatureExtractor):
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"""subclass the IdaFeatureExtractor
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track progress during feature extraction, also allow user to cancel feature extraction
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"""
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def __init__(self):
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super().__init__()
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self.indicator = CapaExplorerProgressIndicator()
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def extract_function_features(self, fh: FunctionHandle):
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self.indicator.update(f"function at {hex(fh.inner.start_ea)}")
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return super().extract_function_features(fh)
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