150 lines
5.0 KiB
Python
150 lines
5.0 KiB
Python
# Copyright (C) 2025 James Brotosky, Brandon Wickline
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as published
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# by the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Affero General Public License for more details.
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#
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# You should have received a copy of the GNU Affero General Public License
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# along with this program. If not, see <https://www.gnu.org/licenses/>.
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from datetime import datetime
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import logging
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import os
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import pandas as pd
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from services.agenthandler import selectAgents
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from services.API import AirlockAPIWrapper
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from utils.configmanager import load_env
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from utils.selector import Selector
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from utils.utils import colorText, get_sanitized_input
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logger = logging.getLogger(__name__)
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def otp_activities_by_agent(api: AirlockAPIWrapper):
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activeagents = api.otp_find_active()
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awaitingagents = api.otp_find_awaiting()
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enforcedagents = api.otp_find_enforced()
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revokedagents = api.otp_find_revoked()
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# Add a 'status' column to each DataFrame
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activeagents["status"] = "active"
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awaitingagents["status"] = "awaiting"
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enforcedagents["status"] = "enforced"
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revokedagents["status"] = "revoked"
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# Combine all into one DataFrame
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combined_agents = pd.concat(
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[activeagents, awaitingagents, enforcedagents, revokedagents], ignore_index=True
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)
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combined_agents = combined_agents.sort_values(by="otpid", ascending=False)
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# Optionally, select specific hosts
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user_input = (
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get_sanitized_input("\nWould you like to search for a specific device? (y/n): ")
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.strip()
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.lower()
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)
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if user_input == "y":
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agentnames = []
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agents = selectAgents(api)
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for agent in agents:
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agentnames.append(agent.hostname)
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combined_agents = combined_agents[combined_agents["hostname"].isin(agentnames)]
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# Present and select rows
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selected_rows = Selector.select_dataframe_with_mode(
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combined_agents,
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columns=["otpid", "hostname", "status", "purpose", "granted"],
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header="OTP Sessions",
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)
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combined_df = pd.DataFrame()
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for row in selected_rows:
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otpid = row["otpid"]
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hostname = row["hostname"]
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result = api.otp_get_activities(otpid)
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result["hostname"] = hostname
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if not result.empty:
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logger.info(f"Activities for {hostname} (otpid: {otpid}):\n{result}")
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combined_df = pd.concat([combined_df, result], ignore_index=True)
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else:
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logger.info(f"No activities found for {hostname} (otpid: {otpid})")
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user_input = (
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get_sanitized_input(
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"\nWould you like to export the results to a CSV file? (y/n): "
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)
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.strip()
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.lower()
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)
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if user_input == "y":
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working_dir = load_env("WORKING_DIR")
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timestamp = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
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filename = f"otp_activities_{timestamp}.csv"
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file_path = os.path.join(str(working_dir), filename)
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combined_df.to_csv(file_path, index=False)
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logging.info(f"Exported Data to {file_path}")
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print(
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colorText(
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f"\n✅ OTP Activity exported to: {working_dir}\\{filename}",
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"green",
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)
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)
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else:
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logging.debug("User declined to export the DataFrame.")
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def otp_revoke(api: AirlockAPIWrapper):
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activeagents = api.otp_find_active()
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awaitingagents = api.otp_find_awaiting()
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activeagents["status"] = "active"
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awaitingagents["status"] = "awaiting"
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combined_agents = pd.concat([activeagents, awaitingagents], ignore_index=True)
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combined_agents = combined_agents.sort_values(by="otpid", ascending=False)
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# Combine all into one DataFrame
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combined_agents = pd.concat([activeagents, awaitingagents], ignore_index=True)
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combined_agents = combined_agents.sort_values(by="otpid", ascending=False)
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# Optionally, select specific hosts
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user_input = (
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get_sanitized_input("\nWould you like to search for a specific device? (y/n): ")
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.strip()
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.lower()
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)
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if user_input == "y":
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agentnames = []
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agents = selectAgents(api)
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for agent in agents:
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agentnames.append(agent.hostname)
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combined_agents = combined_agents[combined_agents["hostname"].isin(agentnames)]
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# Present and select rows
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selected_rows = Selector.select_dataframe_with_mode(
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combined_agents,
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columns=["otpid", "hostname", "status", "purpose", "granted"],
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header="OTP Sessions",
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)
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for row in selected_rows:
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otpid = row["otpid"]
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hostname = row["hostname"]
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result = api.otp_revoke(otpid)
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logger.info(f"{hostname} (otpid: {otpid}):\n{result}")
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