:warning: THIS IS A EXPERIMENTAL DETECTION

This detection has been marked experimental by the Splunk Threat Research team. This means we have not been able to test, simulate, or build datasets for this detection. Use at your own risk. This analytic is NOT supported.

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Description

Malicious actors often abuse misconfigured LDAP servers or applications that use the LDAP servers in organizations. Outbound LDAP traffic should not be allowed outbound through your perimeter firewall. This search will help determine if you have any LDAP connections to IP addresses outside of private (RFC1918) address space.

  • Type: Anomaly
  • Product: Splunk Behavioral Analytics
  • Datamodel: Endpoint_Processes
  • Last Updated: 2022-02-17
  • Author: Jose Hernandez, Michael Haag, Splunk
  • ID: 4d16a90c-d1a9-4d17-8156-d0db0c73c449

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1059 Command and Scripting Interpreter Execution
Kill Chain Phase
  • Exploitation
NIST
  • PR.PT
  • DE.CM
CIS20
  • CIS 13
CVE
1
2
3
4
5
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7
| from read_ssa_enriched_events() 
| eval timestamp=parse_long(ucast(map_get(input_event, "_time"), "string", null)), dest_port=map_get(input_event, "dest_port"), event_id=ucast(map_get(input_event, "event_id"), "string", null), dest_ip=ucast(map_get(input_event, "dest_device_ips"), "collection<string>", [])[0] 
| where dest_port=389 OR dest_port=1389 OR dest_port=636 
| where NOT (cidrmatch(ip: dest_ip, cidr_range: "10.0.0.0/8") OR cidrmatch(ip: dest_ip, cidr_range: "192.168.0.0/16") OR cidrmatch(ip: dest_ip, cidr_range: "172.16.0.0/12")) 
| eval start_time=timestamp, end_time=timestamp, entities=mvappend(ucast(map_get(input_event, "dest_user_id"), "string", null), ucast(map_get(input_event, "dest_device_id"), "string", null)), body=create_map(["event_id", event_id, "dest_port", dest_port, "dest_ip", dest_ip]) 
| into write_ssa_detected_events();

Macros

The SPL above uses the following Macros:

:information_source: tcp_command_and_scripting_interpreter_outbound_ldap_traffic_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Required fields

List of fields required to use this analytic.

  • _time
  • dest_device_id
  • process_name
  • parent_process_name
  • process_path
  • dest_user_id
  • process
  • cmd_line

How To Implement

To successfully implement this search you need to be ingesting information on network traffic, specifically data that populates the Network_Traffic datamodel. To develop this analytic we used specifically Zeek/Bro conn.log and PAN Traffic events.

Known False Positives

Unknown at this moment. Outbound LDAP traffic should not be allowed outbound through your perimeter firewall. Please check those servers to verify if the activity is legitimate.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
35.0 50 70 An outbound LDAP connection from $src_ip$ in your infrastructure connecting to dest ip $dest_ip$

:information_source: The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.

Reference

Test Dataset

Replay any dataset to Splunk Enterprise by using our replay.py tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range

source | version: 1