ProxyChains Activity

This rule monitors for the execution of the ProxyChains utility. ProxyChains is a command-line tool that enables the routing of network connections through intermediary proxies, enhancing anonymity and enabling access to restricted resources. Attackers can exploit the ProxyChains utility to hide their true source IP address, evade detection, and perform malicious activities through a chain of proxy servers, potentially masking their identity and intentions.

Elastic rule (View on GitHub)

  1[metadata]
  2creation_date = "2023/08/23"
  3integration = ["endpoint", "auditd_manager"]
  4maturity = "production"
  5updated_date = "2024/05/21"
  6
  7[transform]
  8[[transform.osquery]]
  9label = "Osquery - Retrieve Listening Ports"
 10query = "SELECT pid, address, port, socket, protocol, path FROM listening_ports"
 11
 12[[transform.osquery]]
 13label = "Osquery - Retrieve Open Sockets"
 14query = "SELECT pid, family, remote_address, remote_port, socket, state FROM process_open_sockets"
 15
 16[[transform.osquery]]
 17label = "Osquery - Retrieve Information for a Specific User"
 18query = "SELECT * FROM users WHERE username = {{user.name}}"
 19
 20[[transform.osquery]]
 21label = "Osquery - Investigate the Account Authentication Status"
 22query = "SELECT * FROM logged_in_users WHERE user = {{user.name}}"
 23
 24[[transform.osquery]]
 25label = "Osquery - Retrieve Running Processes by User"
 26query = "SELECT pid, username, name FROM processes p JOIN users u ON u.uid = p.uid ORDER BY username"
 27
 28[[transform.osquery]]
 29label = "Osquery - Retrieve Process Info"
 30query = "SELECT name, cmdline, parent, path, uid FROM processes"
 31
 32
 33[rule]
 34author = ["Elastic"]
 35description = """
 36This rule monitors for the execution of the ProxyChains utility. ProxyChains is a command-line tool that enables the
 37routing of network connections through intermediary proxies, enhancing anonymity and enabling access to restricted
 38resources. Attackers can exploit the ProxyChains utility to hide their true source IP address, evade detection, and
 39perform malicious activities through a chain of proxy servers, potentially masking their identity and intentions.
 40"""
 41from = "now-9m"
 42index = ["logs-endpoint.events.*", "endgame-*", "auditbeat-*", "logs-auditd_manager.auditd-*"]
 43language = "eql"
 44license = "Elastic License v2"
 45name = "ProxyChains Activity"
 46note = """## Triage and analysis
 47
 48### Investigating ProxyChains Activity
 49
 50Attackers can leverage `proxychains` to obfuscate their origin and bypass network defenses by routing their malicious traffic through multiple intermediary servers.
 51
 52This rule looks for processes spawned through `proxychains` by analyzing `proxychains` process execution.
 53
 54> **Note**:
 55> This investigation guide uses the [Osquery Markdown Plugin](https://www.elastic.co/guide/en/security/master/invest-guide-run-osquery.html) introduced in Elastic Stack version 8.5.0. Older Elastic Stack versions will display unrendered Markdown in this guide.
 56> This investigation guide uses [placeholder fields](https://www.elastic.co/guide/en/security/current/osquery-placeholder-fields.html) to dynamically pass alert data into Osquery queries. Placeholder fields were introduced in Elastic Stack version 8.7.0. If you're using Elastic Stack version 8.6.0 or earlier, you'll need to manually adjust this investigation guide's queries to ensure they properly run.
 57
 58#### Possible investigation steps
 59
 60- Identify any signs of suspicious network activity or anomalies that may indicate network obfuscation. This could include unexpected traffic patterns or unusual network behavior.
 61  - Investigate listening ports and open sockets to look for potential protocol tunneling, reverse shells, or data exfiltration.
 62    - $osquery_0
 63    - $osquery_1
 64- Identify the user account that performed the action, analyze it, and check whether it should perform this kind of action.
 65  - $osquery_2
 66- Investigate whether the user is currently logged in and active.
 67  - $osquery_3
 68- Investigate the script execution chain (parent process tree) for unknown processes. Examine their executable files for prevalence and whether they are located in expected locations.
 69  - $osquery_4
 70  - $osquery_5
 71- Investigate other alerts associated with the user/host during the past 48 hours.
 72  - If scripts or executables were dropped, retrieve the files and determine if they are malicious:
 73    - Use a private sandboxed malware analysis system to perform analysis.
 74      - Observe and collect information about the following activities:
 75        - Attempts to contact external domains and addresses.
 76          - Check if the domain is newly registered or unexpected.
 77          - Check the reputation of the domain or IP address.
 78        - File access, modification, and creation activities.
 79
 80### Related rules
 81
 82- Suspicious Utility Launched via ProxyChains - 6ace94ba-f02c-4d55-9f53-87d99b6f9af4
 83- Potential Protocol Tunneling via Chisel Client - 3f12325a-4cc6-410b-8d4c-9fbbeb744cfd
 84- Potential Protocol Tunneling via Chisel Server - ac8805f6-1e08-406c-962e-3937057fa86f
 85- Potential Linux Tunneling and/or Port Forwarding - 6ee947e9-de7e-4281-a55d-09289bdf947e
 86- Potential Protocol Tunneling via EarthWorm - 9f1c4ca3-44b5-481d-ba42-32dc215a2769
 87
 88### False positive analysis
 89
 90- If this activity is related to new benign software installation activity, consider adding exceptions — preferably with a combination of user and command line conditions.
 91- If this activity is related to a system administrator or developer who uses this utility for benign purposes, consider adding exceptions for specific user accounts or hosts. 
 92- Try to understand the context of the execution by thinking about the user, machine, or business purpose. A small number of endpoints, such as servers with unique software, might appear unusual but satisfy a specific business need.
 93
 94### Response and remediation
 95
 96- Initiate the incident response process based on the outcome of the triage.
 97- Isolate the involved host to prevent further post-compromise behavior.
 98- If the triage identified malware, search the environment for additional compromised hosts.
 99  - Implement temporary network rules, procedures, and segmentation to contain the malware.
100  - Stop suspicious processes.
101  - Immediately block the identified indicators of compromise (IoCs).
102  - Inspect the affected systems for additional malware backdoors, such as reverse shells, reverse proxies, or droppers, that attackers could use to reinfect the system.
103- Remove and block malicious artifacts identified during triage.
104- Investigate credential exposure on systems compromised or used by the attacker to ensure all compromised accounts are identified. Reset passwords for these accounts and other potentially compromised credentials, such as email, business systems, and web services.
105- Run a full antimalware scan. This may reveal additional artifacts left in the system, persistence mechanisms, and malware components.
106- Determine the initial vector abused by the attacker and take action to prevent reinfection through the same vector.
107- Leverage the incident response data and logging to improve the mean time to detect (MTTD) and the mean time to respond (MTTR).
108"""
109references = ["https://blog.bitsadmin.com/living-off-the-foreign-land-windows-as-offensive-platform"]
110risk_score = 21
111rule_id = "4b868f1f-15ff-4ba3-8c11-d5a7a6356d37"
112severity = "low"
113tags = [
114    "Domain: Endpoint",
115    "OS: Linux",
116    "Use Case: Threat Detection",
117    "Tactic: Command and Control",
118    "Data Source: Elastic Defend",
119    "Data Source: Elastic Endgame",
120    "Data Source: Auditd Manager",
121]
122timestamp_override = "event.ingested"
123type = "eql"
124
125query = '''
126process where host.os.type == "linux" and event.type == "start" and event.action in ("exec", "exec_event", "executed", "process_started")
127 and process.name == "proxychains"
128'''
129
130
131[[rule.threat]]
132framework = "MITRE ATT&CK"
133[[rule.threat.technique]]
134id = "T1572"
135name = "Protocol Tunneling"
136reference = "https://attack.mitre.org/techniques/T1572/"
137
138
139[rule.threat.tactic]
140id = "TA0011"
141name = "Command and Control"
142reference = "https://attack.mitre.org/tactics/TA0011/"

Triage and analysis

Investigating ProxyChains Activity

Attackers can leverage proxychains to obfuscate their origin and bypass network defenses by routing their malicious traffic through multiple intermediary servers.

This rule looks for processes spawned through proxychains by analyzing proxychains process execution.

Note: This investigation guide uses the Osquery Markdown Plugin introduced in Elastic Stack version 8.5.0. Older Elastic Stack versions will display unrendered Markdown in this guide. This investigation guide uses placeholder fields to dynamically pass alert data into Osquery queries. Placeholder fields were introduced in Elastic Stack version 8.7.0. If you're using Elastic Stack version 8.6.0 or earlier, you'll need to manually adjust this investigation guide's queries to ensure they properly run.

Possible investigation steps

  • Identify any signs of suspicious network activity or anomalies that may indicate network obfuscation. This could include unexpected traffic patterns or unusual network behavior.
    • Investigate listening ports and open sockets to look for potential protocol tunneling, reverse shells, or data exfiltration.
      • $osquery_0
      • $osquery_1
  • Identify the user account that performed the action, analyze it, and check whether it should perform this kind of action.
    • $osquery_2
  • Investigate whether the user is currently logged in and active.
    • $osquery_3
  • Investigate the script execution chain (parent process tree) for unknown processes. Examine their executable files for prevalence and whether they are located in expected locations.
    • $osquery_4
    • $osquery_5
  • Investigate other alerts associated with the user/host during the past 48 hours.
    • If scripts or executables were dropped, retrieve the files and determine if they are malicious:
      • Use a private sandboxed malware analysis system to perform analysis.
        • Observe and collect information about the following activities:
          • Attempts to contact external domains and addresses.
            • Check if the domain is newly registered or unexpected.
            • Check the reputation of the domain or IP address.
          • File access, modification, and creation activities.
  • Suspicious Utility Launched via ProxyChains - 6ace94ba-f02c-4d55-9f53-87d99b6f9af4
  • Potential Protocol Tunneling via Chisel Client - 3f12325a-4cc6-410b-8d4c-9fbbeb744cfd
  • Potential Protocol Tunneling via Chisel Server - ac8805f6-1e08-406c-962e-3937057fa86f
  • Potential Linux Tunneling and/or Port Forwarding - 6ee947e9-de7e-4281-a55d-09289bdf947e
  • Potential Protocol Tunneling via EarthWorm - 9f1c4ca3-44b5-481d-ba42-32dc215a2769

False positive analysis

  • If this activity is related to new benign software installation activity, consider adding exceptions — preferably with a combination of user and command line conditions.
  • If this activity is related to a system administrator or developer who uses this utility for benign purposes, consider adding exceptions for specific user accounts or hosts.
  • Try to understand the context of the execution by thinking about the user, machine, or business purpose. A small number of endpoints, such as servers with unique software, might appear unusual but satisfy a specific business need.

Response and remediation

  • Initiate the incident response process based on the outcome of the triage.
  • Isolate the involved host to prevent further post-compromise behavior.
  • If the triage identified malware, search the environment for additional compromised hosts.
    • Implement temporary network rules, procedures, and segmentation to contain the malware.
    • Stop suspicious processes.
    • Immediately block the identified indicators of compromise (IoCs).
    • Inspect the affected systems for additional malware backdoors, such as reverse shells, reverse proxies, or droppers, that attackers could use to reinfect the system.
  • Remove and block malicious artifacts identified during triage.
  • Investigate credential exposure on systems compromised or used by the attacker to ensure all compromised accounts are identified. Reset passwords for these accounts and other potentially compromised credentials, such as email, business systems, and web services.
  • Run a full antimalware scan. This may reveal additional artifacts left in the system, persistence mechanisms, and malware components.
  • Determine the initial vector abused by the attacker and take action to prevent reinfection through the same vector.
  • Leverage the incident response data and logging to improve the mean time to detect (MTTD) and the mean time to respond (MTTR).

References

Related rules

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