Potential Internal Linux SSH Brute Force Detected

Identifies multiple internal consecutive login failures targeting a user account from the same source address within a short time interval. Adversaries will often brute force login attempts across multiple users with a common or known password, in an attempt to gain access to these accounts.

Elastic rule (View on GitHub)

  1[metadata]
  2creation_date = "2023/02/21"
  3integration = ["system"]
  4maturity = "production"
  5updated_date = "2024/05/21"
  6
  7[rule]
  8author = ["Elastic"]
  9description = """
 10Identifies multiple internal consecutive login failures targeting a user account from the same source address within a
 11short time interval. Adversaries will often brute force login attempts across multiple users with a common or known
 12password, in an attempt to gain access to these accounts.
 13"""
 14from = "now-9m"
 15index = ["filebeat-*", "logs-system.auth-*"]
 16language = "eql"
 17license = "Elastic License v2"
 18max_signals = 5
 19name = "Potential Internal Linux SSH Brute Force Detected"
 20note = """## Triage and analysis
 21
 22### Investigating Potential Internal Linux SSH Brute Force Detected
 23
 24The rule identifies consecutive internal SSH login failures targeting a user account from the same source IP address to the same target host indicating brute force login attempts.
 25
 26#### Possible investigation steps
 27
 28- Investigate the login failure user name(s).
 29- Investigate the source IP address of the failed ssh login attempt(s).
 30- Investigate other alerts associated with the user/host during the past 48 hours.
 31- Identify the source and the target computer and their roles in the IT environment.
 32
 33### False positive analysis
 34
 35- Authentication misconfiguration or obsolete credentials.
 36- Service account password expired.
 37- Infrastructure or availability issue.
 38
 39### Related Rules
 40
 41- Potential External Linux SSH Brute Force Detected - fa210b61-b627-4e5e-86f4-17e8270656ab
 42- Potential SSH Password Guessing - 8cb84371-d053-4f4f-bce0-c74990e28f28
 43
 44### Response and remediation
 45
 46- Initiate the incident response process based on the outcome of the triage.
 47- Isolate the involved hosts to prevent further post-compromise behavior.
 48- 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.
 49- Run a full antimalware scan. This may reveal additional artifacts left in the system, persistence mechanisms, and malware components.
 50- Determine the initial vector abused by the attacker and take action to prevent reinfection through the same vector.
 51- Using the incident response data, update logging and audit policies to improve the mean time to detect (MTTD) and the mean time to respond (MTTR).
 52"""
 53risk_score = 47
 54rule_id = "1c27fa22-7727-4dd3-81c0-de6da5555feb"
 55setup = """## Setup
 56
 57This rule requires data coming in from Filebeat.
 58
 59### Filebeat Setup
 60Filebeat is a lightweight shipper for forwarding and centralizing log data. Installed as an agent on your servers, Filebeat monitors the log files or locations that you specify, collects log events, and forwards them either to Elasticsearch or Logstash for indexing.
 61
 62#### The following steps should be executed in order to add the Filebeat on a Linux System:
 63- Elastic provides repositories available for APT and YUM-based distributions. Note that we provide binary packages, but no source packages.
 64- To install the APT and YUM repositories follow the setup instructions in this [helper guide](https://www.elastic.co/guide/en/beats/filebeat/current/setup-repositories.html).
 65- To run Filebeat on Docker follow the setup instructions in the [helper guide](https://www.elastic.co/guide/en/beats/filebeat/current/running-on-docker.html).
 66- To run Filebeat on Kubernetes follow the setup instructions in the [helper guide](https://www.elastic.co/guide/en/beats/filebeat/current/running-on-kubernetes.html).
 67- For quick start information for Filebeat refer to the [helper guide](https://www.elastic.co/guide/en/beats/filebeat/8.11/filebeat-installation-configuration.html).
 68- For complete “Setup and Run Filebeat” information refer to the [helper guide](https://www.elastic.co/guide/en/beats/filebeat/current/setting-up-and-running.html).
 69
 70#### Rule Specific Setup Note
 71- This rule requires the “Filebeat System Module” to be enabled.
 72- The system module collects and parses logs created by the system logging service of common Unix/Linux based distributions.
 73- To run the system module of Filebeat on Linux follow the setup instructions in the [helper guide](https://www.elastic.co/guide/en/beats/filebeat/current/filebeat-module-system.html).
 74"""
 75severity = "medium"
 76tags = ["Domain: Endpoint", "OS: Linux", "Use Case: Threat Detection", "Tactic: Credential Access"]
 77type = "eql"
 78
 79query = '''
 80sequence by host.id, source.ip, user.name with maxspan=15s
 81  [ authentication where host.os.type == "linux" and 
 82   event.action in ("ssh_login", "user_login") and event.outcome == "failure" and
 83   cidrmatch(source.ip, "10.0.0.0/8", "127.0.0.0/8", "169.254.0.0/16", "172.16.0.0/12", "192.0.0.0/24",
 84       "192.0.0.0/29", "192.0.0.8/32", "192.0.0.9/32", "192.0.0.10/32", "192.0.0.170/32", "192.0.0.171/32",
 85       "192.0.2.0/24", "192.31.196.0/24", "192.52.193.0/24", "192.168.0.0/16", "192.88.99.0/24", "224.0.0.0/4",
 86       "100.64.0.0/10", "192.175.48.0/24","198.18.0.0/15", "198.51.100.0/24", "203.0.113.0/24", "240.0.0.0/4", 
 87       "::1", "FE80::/10", "FF00::/8") ] with runs = 10
 88'''
 89
 90
 91[[rule.threat]]
 92framework = "MITRE ATT&CK"
 93[[rule.threat.technique]]
 94id = "T1110"
 95name = "Brute Force"
 96reference = "https://attack.mitre.org/techniques/T1110/"
 97[[rule.threat.technique.subtechnique]]
 98id = "T1110.001"
 99name = "Password Guessing"
100reference = "https://attack.mitre.org/techniques/T1110/001/"
101
102[[rule.threat.technique.subtechnique]]
103id = "T1110.003"
104name = "Password Spraying"
105reference = "https://attack.mitre.org/techniques/T1110/003/"
106
107
108
109[rule.threat.tactic]
110id = "TA0006"
111name = "Credential Access"
112reference = "https://attack.mitre.org/tactics/TA0006/"

Triage and analysis

Investigating Potential Internal Linux SSH Brute Force Detected

The rule identifies consecutive internal SSH login failures targeting a user account from the same source IP address to the same target host indicating brute force login attempts.

Possible investigation steps

  • Investigate the login failure user name(s).
  • Investigate the source IP address of the failed ssh login attempt(s).
  • Investigate other alerts associated with the user/host during the past 48 hours.
  • Identify the source and the target computer and their roles in the IT environment.

False positive analysis

  • Authentication misconfiguration or obsolete credentials.
  • Service account password expired.
  • Infrastructure or availability issue.
  • Potential External Linux SSH Brute Force Detected - fa210b61-b627-4e5e-86f4-17e8270656ab
  • Potential SSH Password Guessing - 8cb84371-d053-4f4f-bce0-c74990e28f28

Response and remediation

  • Initiate the incident response process based on the outcome of the triage.
  • Isolate the involved hosts to prevent further post-compromise behavior.
  • 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.
  • Using the incident response data, update logging and audit policies to improve the mean time to detect (MTTD) and the mean time to respond (MTTR).

Related rules

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