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https://github.com/aljazceru/recon-pipeline.git
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89 lines
3.1 KiB
Python
89 lines
3.1 KiB
Python
import subprocess
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from pathlib import Path
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import luigi
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from luigi.util import inherits
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from recon.config import tool_paths, defaults
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from recon.web.targets import GatherWebTargets
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@inherits(GatherWebTargets)
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class AquatoneScan(luigi.Task):
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""" Screenshot all web targets and generate HTML report.
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aquatone commands are structured like the example below.
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cat webtargets.tesla.txt | /opt/aquatone -scan-timeout 900 -threads 20
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An example of the corresponding luigi command is shown below.
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PYTHONPATH=$(pwd) luigi --local-scheduler --module recon.web.aquatone AquatoneScan --target-file tesla --top-ports 1000
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Args:
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threads: number of threads for parallel aquatone command execution
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scan_timeout: timeout in miliseconds for aquatone port scans
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exempt_list: Path to a file providing blacklisted subdomains, one per line. *--* Optional for upstream Task
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top_ports: Scan top N most popular ports *--* Required by upstream Task
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ports: specifies the port(s) to be scanned *--* Required by upstream Task
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interface: use the named raw network interface, such as "eth0" *--* Required by upstream Task
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rate: desired rate for transmitting packets (packets per second) *--* Required by upstream Task
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target_file: specifies the file on disk containing a list of ips or domains *--* Required by upstream Task
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"""
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threads = luigi.Parameter(default=defaults.get("threads", ""))
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scan_timeout = luigi.Parameter(default=defaults.get("aquatone-scan-timeout", ""))
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def requires(self):
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""" AquatoneScan depends on GatherWebTargets to run.
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GatherWebTargets accepts exempt_list and expects rate, target_file, interface,
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and either ports or top_ports as parameters
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Returns:
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luigi.Task - GatherWebTargets
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"""
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args = {
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"rate": self.rate,
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"target_file": self.target_file,
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"top_ports": self.top_ports,
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"interface": self.interface,
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"ports": self.ports,
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"exempt_list": self.exempt_list,
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}
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return GatherWebTargets(**args)
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def output(self):
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""" Returns the target output for this task.
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Naming convention for the output file is amass.TARGET_FILE.json.
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Returns:
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luigi.local_target.LocalTarget
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"""
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return luigi.LocalTarget(f"aquatone-{self.target_file}-results")
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def run(self):
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""" Defines the options/arguments sent to aquatone after processing.
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cat webtargets.tesla.txt | /opt/aquatone -scan-timeout 900 -threads 20
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Returns:
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list: list of options/arguments, beginning with the name of the executable to run
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"""
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Path(self.output().path).mkdir(parents=True, exist_ok=True)
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command = [
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tool_paths.get("aquatone"),
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"-scan-timeout",
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self.scan_timeout,
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"-threads",
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self.threads,
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"-silent",
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"-out",
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self.output().path,
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]
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with self.input().open() as target_list:
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subprocess.run(command, stdin=target_list)
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