Detection rules › Elastic

Potential Lateral Tool Transfer via SMB Share

Status
production
Severity
medium
Time window
30s
Sequence by
host.id, process.entity_id
Author
Elastic
Source
github.com/elastic/detection-rules

Identifies the creation or change of a Windows executable file over network shares. Adversaries may transfer tools or other files between systems in a compromised environment.

MITRE ATT&CK coverage

Event coverage

ProviderEventTitle
SysmonEvent ID 3Network connection
SysmonEvent ID 11FileCreate

Rule body elastic

[metadata]
creation_date = "2020/11/10"
integration = ["endpoint"]
maturity = "production"
updated_date = "2026/05/04"

[rule]
author = ["Elastic"]
description = """
Identifies the creation or change of a Windows executable file over network shares. Adversaries may transfer tools or
other files between systems in a compromised environment.
"""
from = "now-9m"
index = ["logs-endpoint.events.file-*", "logs-endpoint.events.network-*"]
language = "eql"
license = "Elastic License v2"
name = "Potential Lateral Tool Transfer via SMB Share"
note = """## Triage and analysis

### Investigating Potential Lateral Tool Transfer via SMB Share

Adversaries can use network shares to host tooling to support the compromise of other hosts in the environment. These tools can include discovery utilities, credential dumpers, malware, etc. Attackers can also leverage file shares that employees frequently access to host malicious files to gain a foothold in other machines.

#### Possible investigation steps

- Investigate the process execution chain (parent process tree) for unknown processes. Examine their executable files for prevalence, whether they are located in expected locations, and if they are signed with valid digital signatures.
- Identify the user account that performed the action and whether it should perform this kind of action.
- Contact the account owner and confirm whether they are aware of this activity.
- Investigate other alerts associated with the user/host during the past 48 hours.
- Retrieve the created file and determine if it is 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.
      - File and registry access, modification, and creation activities.
      - Service creation and launch activities.
      - Scheduled task creation.
  - Use the PowerShell `Get-FileHash` cmdlet to get the files' SHA-256 hash values.
    - Search for the existence and reputation of the hashes in resources like VirusTotal, Hybrid-Analysis, CISCO Talos, Any.run, etc.

### False positive analysis

- This activity can happen legitimately. Consider adding exceptions if it is expected and noisy in your environment.

### 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 like reverse shells, reverse proxies, or droppers that attackers could use to reinfect the system.
- Remove and block malicious artifacts identified during triage.
- Review the privileges needed to write to the network share and restrict write access as needed.
- 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).
"""

setup = """## Setup

This rule is designed for data generated by [Elastic Defend](https://www.elastic.co/security/endpoint-security), which provides native endpoint detection and response, along with event enrichments designed to work with our detection rules.

Setup instructions: https://ela.st/install-elastic-defend
"""

references = [
    "https://www.elastic.co/security-labs/elastic-protects-against-data-wiper-malware-targeting-ukraine-hermeticwiper",
    "https://www.elastic.co/security-labs/hunting-for-lateral-movement-using-event-query-language",
]
risk_score = 47
rule_id = "58bc134c-e8d2-4291-a552-b4b3e537c60b"
severity = "medium"
tags = [
    "Domain: Endpoint",
    "OS: Windows",
    "Use Case: Threat Detection",
    "Tactic: Lateral Movement",
    "Resources: Investigation Guide",
    "Data Source: Elastic Defend",
]
type = "eql"

query = '''
sequence by host.id with maxspan=30s
  [network where host.os.type == "windows" and event.type == "start" and process.pid == 4 and destination.port == 445 and
   network.direction : ("incoming", "ingress") and
   network.transport == "tcp" and source.ip != "127.0.0.1" and source.ip != "::1"
  ] by process.entity_id
  /* add more executable / script extensions here if they are not noisy in your environment */
  [file where host.os.type == "windows" and event.type in ("creation", "change") and process.pid == 4 and user.id like ("S-1-5-21*", "S-1-12-*") and 
   (file.Ext.header_bytes : "4d5a*" or file.extension : ("exe", "scr", "pif", "com", "dll", "bat", "cmd", "ps1", "vbs", "vbe", "js", "jse", "wsh", "wsf", "sct", "hta", "cpl"))] by process.entity_id
'''


[[rule.threat]]
framework = "MITRE ATT&CK"
[[rule.threat.technique]]
id = "T1021"
name = "Remote Services"
reference = "https://attack.mitre.org/techniques/T1021/"
[[rule.threat.technique.subtechnique]]
id = "T1021.002"
name = "SMB/Windows Admin Shares"
reference = "https://attack.mitre.org/techniques/T1021/002/"


[[rule.threat.technique]]
id = "T1570"
name = "Lateral Tool Transfer"
reference = "https://attack.mitre.org/techniques/T1570/"


[rule.threat.tactic]
id = "TA0008"
name = "Lateral Movement"
reference = "https://attack.mitre.org/tactics/TA0008/"

Stages and Predicates

Ordered sequence: each step below must occur in order within 30s, correlated by host.id, process.entity_id.

Stage 1: network

[network where host.os.type == "windows" and event.type == "start" and process.pid == 4 and destination.port == 445 and
   network.direction : ("incoming", "ingress") and
   network.transport == "tcp" and source.ip != "127.0.0.1" and source.ip != "::1"
  ]

Stage 2: file

[file where host.os.type == "windows" and event.type in ("creation", "change") and process.pid == 4 and user.id like ("S-1-5-21*", "S-1-12-*") and 
   (file.Ext.header_bytes : "4d5a*" or file.extension : ("exe", "scr", "pif", "com", "dll", "bat", "cmd", "ps1", "vbs", "vbe", "js", "jse", "wsh", "wsf", "sct", "hta", "cpl"))]

Indicators

Each row is a field, operator, and value that the rule matches. The corpus column counts how many other rules in the catalog look for the same combination: high numbers point to widely-used, community-vetted indicators. Blank or 1 shows that the indicator is specific to this rule.

FieldKindValues
destination.porteq
  • 445 corpus 8 (elastic 5, splunk 2, sigma 1)
event.typeeq
  • start corpus 606 (elastic 606)
event.typein
  • change corpus 77 (elastic 77)
  • creation corpus 45 (elastic 45)
file.Ext.header_byteswildcard
  • 4d5a* corpus 5 (elastic 5)
file.extensionwildcard
  • bat corpus 6 (elastic 6)
  • cmd corpus 6 (elastic 6)
  • com corpus 5 (elastic 5)
  • cpl corpus 5 (elastic 5)
  • dll corpus 10 (elastic 10)
  • exe corpus 10 (elastic 10)
  • hta corpus 6 (elastic 6)
  • js corpus 7 (elastic 7)
  • jse corpus 6 (elastic 6)
  • pif corpus 7 (elastic 7)
  • ps1 corpus 6 (elastic 6)
  • scr corpus 7 (elastic 7)
  • sct corpus 6 (elastic 6)
  • vbe corpus 6 (elastic 6)
  • vbs corpus 6 (elastic 6)
  • wsf corpus 6 (elastic 6)
  • wsh corpus 6 (elastic 6)
network.directionwildcard
  • incoming corpus 10 (elastic 10)
  • ingress corpus 12 (elastic 12)
network.transporteq
  • tcp corpus 18 (elastic 17, sigma 1)
process.pideq
  • 4 corpus 11 (elastic 11)
source.ipne
  • 127.0.0.1 corpus 23 (elastic 22, splunk 1)
  • ::1 corpus 21 (elastic 20, splunk 1)
user.idwildcard
  • S-1-12-* corpus 4 (elastic 4)
  • S-1-5-21* corpus 5 (elastic 5)