mirror of https://github.com/CIRCL/AIL-framework
224 lines
7.9 KiB
Markdown
224 lines
7.9 KiB
Markdown
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# AIL objects
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AIL is using different types of objects to classify, correlate and describe extracted information:
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- **Cryptocurrency**: Represents extracted cryptocurrency addresses.
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- bitcoin
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- bitcoin-cash
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- dash
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- ethereum
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- litecoin
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- monero
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- zcash
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- **Cve**: Represents extracted CVE (Common Vulnerabilities and Exposures) IDs.
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- **Decoded**: Represents information that has been decoded from an encoded format, such as base64.
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- **Domain**: Represents crawled domains and includes metadata related to them.
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- **Item**: Represents a piece of text that has been processed by AIL. It can include various types of extracted information.
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- **Pgp**: Represents PGP key/block metadata.
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- key: PGP key IDs
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- mail: email addresses associated with PGP keys
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- name: names associated with PGP keys.
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- **Screenshot**: Represents screenshots captured from crawled domains.
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- **Title**: Represents the HTML title extracted from web pages.
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- **Username**:
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- telegram: telegram username handles
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- twitter: twitter username handles
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- jabber: Jabber (XMPP) username handles
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# AIL Importers
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AIL Importers play a crucial role in the AIL ecosystem,
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enabling the import of various types of data into the framework.
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These importers are located in the `/bin/importer` directory.
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The modular design of importers allows for easy expansion and customization,
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ensuring that AIL can adapt to new types of data.
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Available Importers:
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- [AIL Feeders](#ail-feeders): Extract and feed JSON data from external sources via The API.
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- ZMQ
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- [pystemon](https://github.com/cvandeplas/pystemon)
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- File: Import files and directories.
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(Manually Feed File/Dir: [./tool/file_dir_importer.py](./tool/file_dir_importer.py)).
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[//]: # (### ZMQ Importer:)
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### pystemon:
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1. Clone the [pystemon's git repository](https://github.com/cvandeplas/pystemon):
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```
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git clone https://github.com/cvandeplas/pystemon.git
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```
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2. Edit configuration file for pystemon ```pystemon/pystemon.yaml```:
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- Configure the storage section according to your needs:
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```
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storage:
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archive:
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storage-classname: FileStorage
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save: yes
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save-all: yes
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dir: "alerts"
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dir-all: "archive"
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compress: yes
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redis:
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storage-classname: RedisStorage
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save: yes
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save-all: yes
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server: "localhost"
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port: 6379
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database: 10
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lookup: no
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```
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- Adjust the configuration for paste-sites based on your requirements (remember to throttle download and update times).
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3. Install python dependencies inside the virtual environment:
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```shell
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cd ail-framework/
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. ./AILENV/bin/activate
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cd pystemon/
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pip install -U -r requirements.txt
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```
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4. Edit the configuration file ```ail-framework/configs/core.cfg```:
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- Modify the "pystemonpath" path accordingly.
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5. Launch ail-framework, pystemon and PystemonImporter.py (all within the virtual environment):
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- Option 1 (recommended):
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```
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./ail-framework/bin/LAUNCH.py -l #starts ail-framework
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./ail-framework/bin/LAUNCH.py -f #starts pystemon and the PystemonImporter.py
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```
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- Option 2 (may require two terminal windows):
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```
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./ail-framework/bin/LAUNCH.py -l #starts ail-framework
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./pystemon/pystemon.py
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./ail-framework/bin/importer/PystemonImporter.py
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```
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### File Importer `importer/FileImporter.py`:
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Manually import File and Directory with the [./tool/file_dir_importer.py](./tool/file_dir_importer.py) script:
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- Import Files:
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```shell
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. ./AILENV/bin/activate
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cd tools/
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./file_dir_importer.py -f MY_FILE_PAT
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```
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- Import Dirs:
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```shell
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. ./AILENV/bin/activate
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cd tools/
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./file_dir_importer.py -d MY_DIR_PATH
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```
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### Create a New Importer:
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```python
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from importer.abstract_importer import AbstractImporter
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from modules.abstract_module import AbstractModule
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class MyNewImporter(AbstractImporter):
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def __init__(self):
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super().__init__()
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# super().__init__(queue=True) # if it's an one-time run importer
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self.logger.info(f'Importer {self.name} initialized')
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def importer(self, my_var):
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# Process my_var and get content to import
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content = GET_MY_CONTENT_TO_IMPORT
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# if content is not gzipped and/or not b64 encoded,
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# set gzipped and/or b64 to False
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message = self.create_message(item_id, content, b64=False, gzipped=False)
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return message
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# if it's an one-time run, otherwise create an AIL Module
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# self.add_message_to_queue(message)
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class MyNewModuleImporter(AbstractModule):
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def __init__(self):
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super().__init__()
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# init module ...
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self.importer = MyNewImporter()
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def get_message(self):
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return self.importer.importer()
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def compute(self, message):
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self.add_message_to_queue(message)
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if __name__ == '__main__':
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module = MyNewModuleImporter()
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module.run()
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# if it's an one-time run:
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# importer = MyImporter()
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# importer.importer(my_var)
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```
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## AIL Feeders
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AIL Feeders are a special type of Importer within AIL, specifically designed
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to *extract* and *feed* data from external sources into the framework.
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- **Extract Data**: AIL Feeders extract data from external sources, such as APK files,
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certificate transparency logs, GitHub archives, repositories, ActivityPub sources,
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leaked files, Atom/RSS feeds, JSON logs, Discord, and Telegram, ...
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- **Run Independently**: Feeders can run on separate systems or infrastructure,
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providing flexibility and scalability. They operate independently from the core AIL framework.
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- **Internal Logic**: Each feeder can implement its own custom logic and processing
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to extract and transform data and metadata from the source into JSON.
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- **Push to AIL API**: The generated JSON is then pushed to the AIL API
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for ingestion and further analysis within the AIL framework.
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[//]: # (- Customize medata parsing)
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### AIL Feeders List:
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- [ail-feeder-apk](https://github.com/ail-project/ail-feeder-apk): Pushes annotated APK to an AIL instance for yara detection.
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- [ail-feeder-ct](https://github.com/ail-project/ail-feeder-ct): AIL feeder for certificate transparency.
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- [ail-feeder-github-gharchive](https://github.com/ail-project/ail-feeder-gharchive): extract informations
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from GHArchive, collect and feed AIL
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- [ail-feeder-github-repo](https://github.com/ail-project/ail-feeder-github-repo): Pushes github repositories to AIL.
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- [ail-feeder-activity-pub](https://github.com/ail-project/ail-feeder-activity-pub) ActivityPub feeder.
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- [ail-feeder-leak](https://github.com/ail-project/ail-feeder-leak): Automates the process of feeding files to AIL, using data chunking to handle large files.
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- [ail-feeder-atom-rss](https://github.com/ail-project/ail-feeder-atom-rss) Atom and RSS feeder for AIL.
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- [ail-feeder-jsonlogs](https://github.com/ail-project/ail-feeder-jsonlogs) Aggregate JSON log lines and pushes them to AIL.
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- [ail-feeder-discord](https://github.com/ail-project/ail-feeder-discord) Discord Feeder.
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- [ail-feeder-telegram](https://github.com/ail-project/ail-feeder-telegram) Telegram Channels and User Feeder.
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#### Example: Feeding AIL with Conti leaks
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```python
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from pyail import PyAIL
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pyail = PyAIL(URL, API_KEY, ssl=verifycert)
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#. . . imports
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#. . . setup code
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for content in sys.stdin:
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elm = json.loads(content)
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tmp = elm['body']
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meta = {}
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meta['jabber:to'] = elm['to']
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meta['jabber:from'] = elm['from']
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meta['jabber:ts]' = elm['ts']
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pyail.feed_json_item(tmp , meta, feeder_name, feeder_uuid)
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```
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# AIL SYNC
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The synchronisation mechanism allow the sync from one AIL instance to another AIL using a standard WebSocket
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using [AIL JSON protocol](https://github.com/ail-project/ail-exchange-format/blob/main/ail-stream.md).
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The synchronisation allows to filter and sync specific collected items including crawled items or
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specific tagged items matching defined rules.
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This feature can be very useful to limit the scope of analysis in specific fields or resource intensive activity.
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This sync can be also used to share filtered streams with other partners.
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