MsBuild Making Network Connections
Identifies MsBuild.exe making outbound network connections. This may indicate adversarial activity as MsBuild is often leveraged by adversaries to execute code and evade detection.
Elastic rule (View on GitHub)
1[metadata]
2creation_date = "2020/02/18"
3integration = ["endpoint"]
4maturity = "production"
5updated_date = "2025/03/20"
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 MsBuild.exe making outbound network connections. This may indicate adversarial activity as MsBuild is often
37leveraged by adversaries to execute code and evade detection.
38"""
39from = "now-9m"
40index = ["logs-endpoint.events.process-*", "logs-endpoint.events.network-*"]
41language = "eql"
42license = "Elastic License v2"
43name = "MsBuild Making Network Connections"
44note = """## Triage and analysis
45
46### Performance
47
48The performance impact of this rule is expected to be low to medium because of the first sequence, which looks for MsBuild.exe process execution. The events for this first sequence may be noisy, consider adding exceptions.
49
50### Investigating MsBuild Making Network Connections
51
52By examining the specific traits of Windows binaries (such as process trees, command lines, network connections, registry modifications, and so on) it's possible to establish a baseline of normal activity. Deviations from this baseline can indicate malicious activity, such as masquerading and deserve further investigation.
53
54The Microsoft Build Engine, also known as MSBuild, is a platform for building applications. This engine provides an XML schema for a project file that controls how the build platform processes and builds software, and can be abused to proxy code execution.
55
56This rule looks for the `Msbuild.exe` utility execution, followed by a network connection to an external address. Attackers can abuse MsBuild to execute malicious files or masquerade as those utilities in order to bypass detections and evade defenses.
57
58> **Note**:
59> This investigation guide uses the [Osquery Markdown Plugin](https://www.elastic.co/guide/en/security/current/invest-guide-run-osquery.html) introduced in Elastic Stack version 8.5.0. Older Elastic Stack versions will display unrendered Markdown in this guide.
60
61#### Possible investigation steps
62
63- Investigate other alerts associated with the user/host during the past 48 hours.
64- 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.
65 - Investigate any abnormal behavior by the subject process such as network connections, registry or file modifications, and any spawned child processes.
66 - Investigate the file digital signature and process original filename, if suspicious, treat it as potential malware.
67- Investigate the target host that the signed binary is communicating with.
68 - Check if the domain is newly registered or unexpected.
69 - Check the reputation of the domain or IP address.
70- Assess whether this behavior is prevalent in the environment by looking for similar occurrences across hosts.
71- Examine the host for derived artifacts that indicate suspicious activities:
72 - Analyze the process executable using a private sandboxed analysis system.
73 - Observe and collect information about the following activities in both the sandbox and the alert subject host:
74 - Attempts to contact external domains and addresses.
75 - Use the Elastic Defend network events to determine domains and addresses contacted by the subject process by filtering by the process' `process.entity_id`.
76 - Examine the DNS cache for suspicious or anomalous entries.
77 - $osquery_0
78 - Use the Elastic Defend registry events to examine registry keys accessed, modified, or created by the related processes in the process tree.
79 - Examine the host services for suspicious or anomalous entries.
80 - $osquery_1
81 - $osquery_2
82 - $osquery_3
83 - 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.
84
85### False positive analysis
86
87- If this activity is expected and noisy in your environment, consider adding exceptions — preferably with a combination of destination IP address and command line conditions.
88
89### Response and remediation
90
91- Initiate the incident response process based on the outcome of the triage.
92- Isolate the involved host to prevent further post-compromise behavior.
93- If the triage identified malware, search the environment for additional compromised hosts.
94 - Implement temporary network rules, procedures, and segmentation to contain the malware.
95 - Stop suspicious processes.
96 - Immediately block the identified indicators of compromise (IoCs).
97 - Inspect the affected systems for additional malware backdoors like reverse shells, reverse proxies, or droppers that attackers could use to reinfect the system.
98- Remove and block malicious artifacts identified during triage.
99- Run a full antimalware scan. This may reveal additional artifacts left in the system, persistence mechanisms, and malware components.
100- Determine the initial vector abused by the attacker and take action to prevent reinfection through the same vector.
101- 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).
102"""
103references = ["https://riccardoancarani.github.io/2019-10-19-hunting-covenant-msbuild/"]
104risk_score = 47
105rule_id = "0e79980b-4250-4a50-a509-69294c14e84b"
106severity = "medium"
107tags = [
108 "Domain: Endpoint",
109 "OS: Windows",
110 "Use Case: Threat Detection",
111 "Tactic: Defense Evasion",
112 "Resources: Investigation Guide",
113 "Data Source: Elastic Defend",
114]
115type = "eql"
116
117query = '''
118sequence by process.entity_id with maxspan=30s
119
120 /* Look for MSBuild.exe process execution */
121 /* The events for this first sequence may be noisy, consider adding exceptions */
122 [process where host.os.type == "windows" and event.type == "start" and
123 (
124 process.pe.original_file_name: "MSBuild.exe" or
125 process.name: "MSBuild.exe"
126 ) and
127 not user.id == "S-1-5-18"]
128
129 /* Followed by a network connection to an external address */
130 /* Exclude domains that are known to be benign */
131 [network where host.os.type == "windows" and
132 event.action: ("connection_attempted", "lookup_requested") and
133 (
134 process.pe.original_file_name: "MSBuild.exe" or
135 process.name: "MSBuild.exe"
136 ) and
137 not user.id == "S-1-5-18" and
138 not cidrmatch(destination.ip, "127.0.0.1", "::1") and
139 not dns.question.name : (
140 "localhost",
141 "dc.services.visualstudio.com",
142 "vortex.data.microsoft.com",
143 "api.nuget.org")]
144'''
145
146
147[[rule.threat]]
148framework = "MITRE ATT&CK"
149[[rule.threat.technique]]
150id = "T1127"
151name = "Trusted Developer Utilities Proxy Execution"
152reference = "https://attack.mitre.org/techniques/T1127/"
153[[rule.threat.technique.subtechnique]]
154id = "T1127.001"
155name = "MSBuild"
156reference = "https://attack.mitre.org/techniques/T1127/001/"
157
158
159
160[rule.threat.tactic]
161id = "TA0005"
162name = "Defense Evasion"
163reference = "https://attack.mitre.org/tactics/TA0005/"
Triage and analysis
Performance
The performance impact of this rule is expected to be low to medium because of the first sequence, which looks for MsBuild.exe process execution. The events for this first sequence may be noisy, consider adding exceptions.
Investigating MsBuild Making Network Connections
By examining the specific traits of Windows binaries (such as process trees, command lines, network connections, registry modifications, and so on) it's possible to establish a baseline of normal activity. Deviations from this baseline can indicate malicious activity, such as masquerading and deserve further investigation.
The Microsoft Build Engine, also known as MSBuild, is a platform for building applications. This engine provides an XML schema for a project file that controls how the build platform processes and builds software, and can be abused to proxy code execution.
This rule looks for the Msbuild.exe
utility execution, followed by a network connection to an external address. Attackers can abuse MsBuild to execute malicious files or masquerade as those utilities in order to bypass detections and evade defenses.
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 other alerts associated with the user/host during the past 48 hours.
- 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 any abnormal behavior by the subject process such as network connections, registry or file modifications, and any spawned child processes.
- Investigate the file digital signature and process original filename, if suspicious, treat it as potential malware.
- Investigate the target host that the signed binary is communicating with.
- Check if the domain is newly registered or unexpected.
- Check the reputation of the domain or IP address.
- Assess whether this behavior is prevalent in the environment by looking for similar occurrences across hosts.
- 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.
False positive analysis
- If this activity is expected and noisy in your environment, consider adding exceptions — preferably with a combination of destination IP address and command line conditions.
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).
References
Related rules
- Adding Hidden File Attribute via Attrib
- Alternate Data Stream Creation/Execution at Volume Root Directory
- Attempt to Install Kali Linux via WSL
- Bypass UAC via Event Viewer
- Clearing Windows Console History