Renamed Utility Executed with Short Program Name
Identifies the execution of a process with a single character process name, differing from the original file name. This is often done by adversaries while staging, executing temporary utilities, or trying to bypass security detections based on the process name.
Elastic rule (View on GitHub)
1[metadata]
2creation_date = "2020/11/15"
3integration = ["endpoint", "windows", "m365_defender"]
4maturity = "production"
5updated_date = "2024/10/10"
6
7[transform]
8[[transform.osquery]]
9label = "Osquery - Retrieve DNS Cache"
10query = "SELECT * FROM dns_cache"
11
12[[transform.osquery]]
13label = "Osquery - Retrieve All Services"
14query = "SELECT description, display_name, name, path, pid, service_type, start_type, status, user_account FROM services"
15
16[[transform.osquery]]
17label = "Osquery - Retrieve Services Running on User Accounts"
18query = """
19SELECT description, display_name, name, path, pid, service_type, start_type, status, user_account FROM services WHERE
20NOT (user_account LIKE '%LocalSystem' OR user_account LIKE '%LocalService' OR user_account LIKE '%NetworkService' OR
21user_account == null)
22"""
23
24[[transform.osquery]]
25label = "Osquery - Retrieve Service Unsigned Executables with Virustotal Link"
26query = """
27SELECT concat('https://www.virustotal.com/gui/file/', sha1) AS VtLink, name, description, start_type, status, pid,
28services.path FROM services JOIN authenticode ON services.path = authenticode.path OR services.module_path =
29authenticode.path JOIN hash ON services.path = hash.path WHERE authenticode.result != 'trusted'
30"""
31
32
33[rule]
34author = ["Elastic"]
35description = """
36Identifies the execution of a process with a single character process name, differing from the original file name. This
37is often done by adversaries while staging, executing temporary utilities, or trying to bypass security detections based
38on the process name.
39"""
40from = "now-9m"
41index = ["winlogbeat-*", "logs-endpoint.events.process-*", "logs-windows.sysmon_operational-*", "endgame-*", "logs-m365_defender.event-*"]
42language = "eql"
43license = "Elastic License v2"
44name = "Renamed Utility Executed with Short Program Name"
45note = """## Triage and analysis
46
47### Investigating Renamed Utility Executed with Short Program Name
48
49Identifies the execution of a process with a single character process name, differing from the original file name. This is often done by adversaries while staging, executing temporary utilities, or trying to bypass security detections based on the process name.
50
51> **Note**:
52> 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.
53
54#### Possible investigation steps
55
56- 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.
57- Investigate other alerts associated with the user/host during the past 48 hours.
58- Investigate any abnormal behavior by the subject process such as network connections, registry or file modifications, command line and any spawned child processes.
59- Examine the host for derived artifacts that indicate suspicious activities:
60 - Analyze the process executable using a private sandboxed analysis system.
61 - Observe and collect information about the following activities in both the sandbox and the alert subject host:
62 - Attempts to contact external domains and addresses.
63 - Use the Elastic Defend network events to determine domains and addresses contacted by the subject process by filtering by the process' `process.entity_id`.
64 - Examine the DNS cache for suspicious or anomalous entries.
65 - $osquery_0
66 - Use the Elastic Defend registry events to examine registry keys accessed, modified, or created by the related processes in the process tree.
67 - Examine the host services for suspicious or anomalous entries.
68 - $osquery_1
69 - $osquery_2
70 - $osquery_3
71 - Retrieve the files' SHA-256 hash values using the PowerShell `Get-FileHash` cmdlet and search for the existence and reputation of the hashes in resources like VirusTotal, Hybrid-Analysis, CISCO Talos, Any.run, etc.
72- Assess whether this behavior is prevalent in the environment by looking for similar occurrences across hosts.
73
74
75### False positive analysis
76
77- This activity is unlikely to happen legitimately. Benign true positives (B-TPs) can be added as exceptions if necessary.
78
79### Response and remediation
80
81- Initiate the incident response process based on the outcome of the triage.
82- Isolate the involved host to prevent further post-compromise behavior.
83- If the triage identified malware, search the environment for additional compromised hosts.
84 - Implement temporary network rules, procedures, and segmentation to contain the malware.
85 - Stop suspicious processes.
86 - Immediately block the identified indicators of compromise (IoCs).
87 - Inspect the affected systems for additional malware backdoors like reverse shells, reverse proxies, or droppers that attackers could use to reinfect the system.
88- Remove and block malicious artifacts identified during triage.
89- Run a full antimalware scan. This may reveal additional artifacts left in the system, persistence mechanisms, and malware components.
90- Determine the initial vector abused by the attacker and take action to prevent reinfection through the same vector.
91- 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).
92"""
93risk_score = 47
94rule_id = "17c7f6a5-5bc9-4e1f-92bf-13632d24384d"
95severity = "medium"
96tags = [
97 "Domain: Endpoint",
98 "OS: Windows",
99 "Use Case: Threat Detection",
100 "Tactic: Defense Evasion",
101 "Data Source: Elastic Endgame",
102 "Resources: Investigation Guide",
103 "Data Source: Elastic Defend",
104 "Data Source: Sysmon",
105 "Data Source: Microsoft Defender for Endpoint",
106]
107timestamp_override = "event.ingested"
108type = "eql"
109
110query = '''
111process where host.os.type == "windows" and event.type == "start" and length(process.name) > 0 and
112 length(process.name) == 5 and length(process.pe.original_file_name) > 5
113'''
114
115
116[[rule.threat]]
117framework = "MITRE ATT&CK"
118[[rule.threat.technique]]
119id = "T1036"
120name = "Masquerading"
121reference = "https://attack.mitre.org/techniques/T1036/"
122[[rule.threat.technique.subtechnique]]
123id = "T1036.003"
124name = "Rename System Utilities"
125reference = "https://attack.mitre.org/techniques/T1036/003/"
126
127
128
129[rule.threat.tactic]
130id = "TA0005"
131name = "Defense Evasion"
132reference = "https://attack.mitre.org/tactics/TA0005/"
Triage and analysis
Investigating Renamed Utility Executed with Short Program Name
Identifies the execution of a process with a single character process name, differing from the original file name. This is often done by adversaries while staging, executing temporary utilities, or trying to bypass security detections based on the process name.
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.
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.
- Investigate other alerts associated with the user/host during the past 48 hours.
- Investigate any abnormal behavior by the subject process such as network connections, registry or file modifications, command line and any spawned child processes.
- Examine the host for derived artifacts that indicate suspicious activities:
- Analyze the process executable using a private sandboxed analysis system.
- Observe and collect information about the following activities in both the sandbox and the alert subject host:
- Attempts to contact external domains and addresses.
- Use the Elastic Defend network events to determine domains and addresses contacted by the subject process by filtering by the process'
process.entity_id
. - Examine the DNS cache for suspicious or anomalous entries.
- $osquery_0
- Use the Elastic Defend network events to determine domains and addresses contacted by the subject process by filtering by the process'
- Use the Elastic Defend registry events to examine registry keys accessed, modified, or created by the related processes in the process tree.
- Examine the host services for suspicious or anomalous entries.
- $osquery_1
- $osquery_2
- $osquery_3
- Attempts to contact external domains and addresses.
- Retrieve the files' SHA-256 hash values using the PowerShell
Get-FileHash
cmdlet and search for the existence and reputation of the hashes in resources like VirusTotal, Hybrid-Analysis, CISCO Talos, Any.run, etc.
- Assess whether this behavior is prevalent in the environment by looking for similar occurrences across hosts.
False positive analysis
- This activity is unlikely to happen legitimately. Benign true positives (B-TPs) can be added as exceptions if necessary.
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.
- 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
- Unusual Executable File Creation by a System Critical Process
- Unusual File Creation - Alternate Data Stream
- Potential Secure File Deletion via SDelete Utility
- Suspicious CertUtil Commands
- Windows Firewall Disabled via PowerShell