Collection · Credential Access
T1056 — Input Capture
Adversaries may use methods of capturing user input to obtain credentials or collect information. During normal system usage, users often provide credentials to various different locations, such as login pages/portals or system dialog boxes. Input capture mechanisms may be transparent to the user (e.g. [Credential API Hooking](https://attack.mitre.org/techniques/T1056/004)) or rely on deceiving the user into providing input into what they believe to be a genuine service (e.g...
Investigate Input Capture activity in the context of Collection/Credential Access: confirm scope, affected host/identity, and whether it matches expected administrative behaviour before deciding this is benign.
Platforms
Linux, macOS, Network Devices, Windows
Priority / status
high / draft
Evidence to collect
- Host or resource affected
- Account or identity involved
- Timestamp of the activity
- Related process, file, or network artifact
- Any preceding or follow-on alerts
D3-IDA · detect
Input Device Analysis
Monitor for Input Device Analysis indicators relevant to this technique.
Tooling: Defender for Endpoint
D3-RH · harden
Radiation Hardening
Apply Radiation Hardening to reduce this technique's viability before an incident occurs.
Tooling: Defender for Endpoint
D3-IOPR · isolate
IO Port Restriction
Apply IO Port Restriction to contain the blast radius once this technique is observed.
Tooling: Defender for Endpoint
D3-RS · restore
Restore Software
Use Restore Software to recover affected systems or data after containment.
Tooling: Defender for Endpoint
| ATT&CK Technique | D3FEND Technique | Practical SOC Action | Tooling |
|---|---|---|---|
| T1056 Input Capture | Input Device Analysis | Monitor for Input Device Analysis indicators relevant to this technique. | Defender for Endpoint |
| T1056 Input Capture | Radiation Hardening | Apply Radiation Hardening to reduce this technique's viability before an incident occurs. | Defender for Endpoint |
| T1056 Input Capture | IO Port Restriction | Apply IO Port Restriction to contain the blast radius once this technique is observed. | Defender for Endpoint |
| T1056 Input Capture | Restore Software | Use Restore Software to recover affected systems or data after containment. | Defender for Endpoint |
T1056 Input Capture → D3FEND → SOC action
Investigation steps — Microsoft
- Review Defender for Endpoint / Defender XDR alerts and timeline for the affected host or identity.
- Check Sentinel analytics rules and incidents correlated with this technique.
- Review Entra ID sign-in and audit logs if the technique involves an identity or cloud resource.
Investigation steps — generic
- Confirm whether the observed input capture activity matches expected administrative or application behaviour.
- Identify the host, account, or resource where the activity occurred and its business criticality.
- Check for related alerts before and after this activity to reconstruct the broader intrusion timeline.
- Real detection reference: "Powershell Empire Cmdlets Executed in Command Line" -- This query identifies use of PowerShell Empire's cmdlets within the command line data of the PowerShell process, indicating potential use of the post-exploitation tool.'
Response actions
| Action | Risk | Automation safe | Approval required |
|---|---|---|---|
| Contain the affected host or account | Medium | No | Yes |
| Collect and preserve evidence | Low | Yes | No |
KQL
ef88eb96-861c-43a0-ab16-f3835a97c928 — Powershell Empire Cmdlets Executed in Command Line
let regexEmpire = tostring(toscalar(externaldata(cmdlets:string)[@"https://raw.githubusercontent.com/Azure/Azure-Sentinel/master/Sample%20Data/Feeds/EmpireCommandString.txt"] with (format="txt")));
(union isfuzzy=true
(SecurityEvent
| where EventID == 4688
//consider filtering on filename if perf issues occur
//where FileName in~ ("powershell.exe","powershell_ise.exe","pwsh.exe")
| where not(ParentProcessName has_any ('gc_worker.exe', 'gc_service.exe'))
| where CommandLine has "-encodedCommand"
| parse kind=regex flags=i CommandLine with * "-EncodedCommand " encodedCommand
| extend encodedCommand = iff(encodedCommand has " ", tostring(split(encodedCommand, " ")[0]), encodedCommand)
// Note: currently the base64_decode_tostring function is limited to supporting UTF8
| extend decodedCommand = translate('\0','', base64_decode_tostring(substring(encodedCommand, 0, strlen(encodedCommand) - (strlen(encodedCommand) %8)))), encodedCommand, CommandLine , strlen(encodedCommand)
| extend EfectiveCommand = iff(isnotempty(encodedCommand), decodedCommand, CommandLine)
| where EfectiveCommand matches regex regexEmpire
| project timestamp = TimeGenerated, Computer, SubjectUserName, SubjectDomainName, FileName = Process, EfectiveCommand, decodedCommand, encodedCommand, CommandLine, ParentProcessName
| extend HostName = split(Computer, '.', 0)[0], DnsDomain = strcat_array(array_slice(split(Computer, '.'), 1, -1), '.')
),
(WindowsEvent
| where EventID == 4688
| where EventData has_any ("-encodedCommand", "powershell.exe","powershell_ise.exe","pwsh.exe")
| where not(EventData has_any ('gc_worker.exe', 'gc_service.exe'))
//consider filtering on filename if perf issues occur
//extend NewProcessName = tostring(EventData.NewProcessName)
//extend Process=tostring(split(NewProcessName, '\\')[-1])
//FileName = Process
//where FileName in~ ("powershell.exe","powershell_ise.exe","pwsh.exe")
| extend ParentProcessName = tostring(EventData.ParentProcessName)
| where not(ParentProcessName has_any ('gc_worker.exe', 'gc_service.exe'))
| extend CommandLine = tostring(EventData.CommandLine)
| where CommandLine has "-encodedCommand"
| parse kind=regex flags=i CommandLine with * "-EncodedCommand " encodedCommand
| extend encodedCommand = iff(encodedCommand has " ", tostring(split(encodedCommand, " ")[0]), encodedCommand)
// Note: currently the base64_decode_tostring function is limited to supporting UTF8
| extend decodedCommand = translate('\0','', base64_decode_tostring(substring(encodedCommand, 0, strlen(encodedCommand) - (strlen(encodedCommand) %8)))), encodedCommand, CommandLine , strlen(encodedCommand)
| extend EfectiveCommand = iff(isnotempty(encodedCommand), decodedCommand, CommandLine)
| where EfectiveCommand matches regex regexEmpire
| extend SubjectUserName = tostring(EventData.SubjectUserName)
| extend SubjectDomainName = tostring(EventData.SubjectDomainName)
| extend NewProcessName = tostring(EventData.NewProcessName)
| extend Process=tostring(split(NewProcessName, '\\')[-1])
| project timestamp = TimeGenerated, Computer, SubjectUserName, SubjectDomainName, FileName = Process, EfectiveCommand, decodedCommand, encodedCommand, CommandLine, ParentProcessName
| extend HostName = split(Computer, '.', 0)[0], DnsDomain = strcat_array(array_slice(split(Computer, '.'), 1, -1), '.')
)) 8EB2B20A-BF64-4DCC-9D98-1AD559502C00 — Azure secure score MFA registration V2
SenservaPro_CL
| where ControlName_s == 'AzureSecureScoreMFARegistrationV2' Escalation criteria
- Input Capture activity observed on a privileged account or critical system.
- Activity follows or precedes other suspicious behaviour in the same investigation.
- Automated triage cannot confidently rule out malicious intent.
False positive considerations
- Legitimate administrative or maintenance activity matching this pattern.
- Approved security testing or red team exercise.
- Known benign software producing similar telemetry.
# T1056 - Input Capture
## SOC Recommendation
Investigate Input Capture activity in the context of Collection/Credential Access: confirm scope, affected host/identity, and whether it matches expected administrative behaviour before deciding this is benign.
## D3FEND Mappings
| D3FEND Technique | Relationship | Practical SOC Action |
|---|---|---|
| Input Device Analysis | Detect | Monitor for Input Device Analysis indicators relevant to this technique. |
| Radiation Hardening | Harden | Apply Radiation Hardening to reduce this technique's viability before an incident occurs. |
| IO Port Restriction | Isolate | Apply IO Port Restriction to contain the blast radius once this technique is observed. |
| Restore Software | Restore | Use Restore Software to recover affected systems or data after containment. |
## Investigation Steps
1. Review Defender for Endpoint / Defender XDR alerts and timeline for the affected host or identity.
2. Check Sentinel analytics rules and incidents correlated with this technique.
3. Review Entra ID sign-in and audit logs if the technique involves an identity or cloud resource.
## Evidence to Collect
- Host or resource affected
- Account or identity involved
- Timestamp of the activity
- Related process, file, or network artifact
- Any preceding or follow-on alerts
## Response Actions
| Action | Risk | Automation Safe | Approval Required |
|---|---|---|---|
| Contain the affected host or account | Medium | No | Yes |
| Collect and preserve evidence | Low | Yes | No |
## KQL
```kql
let regexEmpire = tostring(toscalar(externaldata(cmdlets:string)[@"https://raw.githubusercontent.com/Azure/Azure-Sentinel/master/Sample%20Data/Feeds/EmpireCommandString.txt"] with (format="txt")));
(union isfuzzy=true
(SecurityEvent
| where EventID == 4688
//consider filtering on filename if perf issues occur
//where FileName in~ ("powershell.exe","powershell_ise.exe","pwsh.exe")
| where not(ParentProcessName has_any ('gc_worker.exe', 'gc_service.exe'))
| where CommandLine has "-encodedCommand"
| parse kind=regex flags=i CommandLine with * "-EncodedCommand " encodedCommand
| extend encodedCommand = iff(encodedCommand has " ", tostring(split(encodedCommand, " ")[0]), encodedCommand)
// Note: currently the base64_decode_tostring function is limited to supporting UTF8
| extend decodedCommand = translate('\0','', base64_decode_tostring(substring(encodedCommand, 0, strlen(encodedCommand) - (strlen(encodedCommand) %8)))), encodedCommand, CommandLine , strlen(encodedCommand)
| extend EfectiveCommand = iff(isnotempty(encodedCommand), decodedCommand, CommandLine)
| where EfectiveCommand matches regex regexEmpire
| project timestamp = TimeGenerated, Computer, SubjectUserName, SubjectDomainName, FileName = Process, EfectiveCommand, decodedCommand, encodedCommand, CommandLine, ParentProcessName
| extend HostName = split(Computer, '.', 0)[0], DnsDomain = strcat_array(array_slice(split(Computer, '.'), 1, -1), '.')
),
(WindowsEvent
| where EventID == 4688
| where EventData has_any ("-encodedCommand", "powershell.exe","powershell_ise.exe","pwsh.exe")
| where not(EventData has_any ('gc_worker.exe', 'gc_service.exe'))
//consider filtering on filename if perf issues occur
//extend NewProcessName = tostring(EventData.NewProcessName)
//extend Process=tostring(split(NewProcessName, '\\')[-1])
//FileName = Process
//where FileName in~ ("powershell.exe","powershell_ise.exe","pwsh.exe")
| extend ParentProcessName = tostring(EventData.ParentProcessName)
| where not(ParentProcessName has_any ('gc_worker.exe', 'gc_service.exe'))
| extend CommandLine = tostring(EventData.CommandLine)
| where CommandLine has "-encodedCommand"
| parse kind=regex flags=i CommandLine with * "-EncodedCommand " encodedCommand
| extend encodedCommand = iff(encodedCommand has " ", tostring(split(encodedCommand, " ")[0]), encodedCommand)
// Note: currently the base64_decode_tostring function is limited to supporting UTF8
| extend decodedCommand = translate('\0','', base64_decode_tostring(substring(encodedCommand, 0, strlen(encodedCommand) - (strlen(encodedCommand) %8)))), encodedCommand, CommandLine , strlen(encodedCommand)
| extend EfectiveCommand = iff(isnotempty(encodedCommand), decodedCommand, CommandLine)
| where EfectiveCommand matches regex regexEmpire
| extend SubjectUserName = tostring(EventData.SubjectUserName)
| extend SubjectDomainName = tostring(EventData.SubjectDomainName)
| extend NewProcessName = tostring(EventData.NewProcessName)
| extend Process=tostring(split(NewProcessName, '\\')[-1])
| project timestamp = TimeGenerated, Computer, SubjectUserName, SubjectDomainName, FileName = Process, EfectiveCommand, decodedCommand, encodedCommand, CommandLine, ParentProcessName
| extend HostName = split(Computer, '.', 0)[0], DnsDomain = strcat_array(array_slice(split(Computer, '.'), 1, -1), '.')
))
```
```kql
SenservaPro_CL
| where ControlName_s == 'AzureSecureScoreMFARegistrationV2'
```
## Escalation Criteria
- Input Capture activity observed on a privileged account or critical system.
- Activity follows or precedes other suspicious behaviour in the same investigation.
- Automated triage cannot confidently rule out malicious intent.
## False Positive Considerations
- Legitimate administrative or maintenance activity matching this pattern.
- Approved security testing or red team exercise.
- Known benign software producing similar telemetry.
Generated by SOC Response Atlas by Basyrix.
Want to push this directly to Confluence? Upgrade to Basyrix Pro.
- /api/techniques/T1056.json
- /api/recommendations/T1056.json
- /api/d3fend/T1056.json
- /api/mappings/T1056.json
- /api/confluence/T1056.md
Example curl:
curl https://atlas.basyrix.com/api/recommendations/T1056.json Response:
{
"technique_id": "T1056",
"name": "Input Capture",
"priority": "high",
"status": "draft",
"version": "0.1.0",
"last_reviewed": "2026-07-23",
"generated_by": "SOC Response Atlas by Basyrix",
"tactics": [
"Collection",
"Credential Access"
],
"platforms": [
"Linux",
"macOS",
"Network Devices",
"Windows"
],
"summary": "Adversaries may use methods of capturing user input to obtain credentials or collect information. During normal system usage, users often provide credentials to various different locations, such as login pages/portals or system dialog boxes. Input capture mechanisms may be transparent to the user (e.g. [Credential API Hooking](https://attack.mitre.org/techniques/T1056/004)) or rely on deceiving the user into providing input into what they believe to be a genuine service (e.g...",
"soc_recommendation": "Investigate Input Capture activity in the context of Collection/Credential Access: confirm scope, affected host/identity, and whether it matches expected administrative behaviour before deciding this is benign.",
"d3fend_mappings": [
{
"id": "D3-IDA",
"name": "Input Device Analysis",
"relationship": "detect",
"practical_action": "Monitor for Input Device Analysis indicators relevant to this technique.",
"tooling": [
"Defender for Endpoint"
]
},
{
"id": "D3-RH",
"name": "Radiation Hardening",
"relationship": "harden",
"practical_action": "Apply Radiation Hardening to reduce this technique's viability before an incident occurs.",
"tooling": [
"Defender for Endpoint"
]
},
{
"id": "D3-IOPR",
"name": "IO Port Restriction",
"relationship": "isolate",
"practical_action": "Apply IO Port Restriction to contain the blast radius once this technique is observed.",
"tooling": [
"Defender for Endpoint"
]
},
{
"id": "D3-RS",
"name": "Restore Software",
"relationship": "restore",
"practical_action": "Use Restore Software to recover affected systems or data after containment.",
"tooling": [
"Defender for Endpoint"
]
}
],
"investigation_steps": {
"microsoft": [
"Review Defender for Endpoint / Defender XDR alerts and timeline for the affected host or identity.",
"Check Sentinel analytics rules and incidents correlated with this technique.",
"Review Entra ID sign-in and audit logs if the technique involves an identity or cloud resource."
],
"generic": [
"Confirm whether the observed input capture activity matches expected administrative or application behaviour.",
"Identify the host, account, or resource where the activity occurred and its business criticality.",
"Check for related alerts before and after this activity to reconstruct the broader intrusion timeline.",
"Real detection reference: \"Powershell Empire Cmdlets Executed in Command Line\" -- This query identifies use of PowerShell Empire's cmdlets within the command line data of the PowerShell process, indicating potential use of the post-exploitation tool.'"
]
},
"evidence_to_collect": [
"Host or resource affected",
"Account or identity involved",
"Timestamp of the activity",
"Related process, file, or network artifact",
"Any preceding or follow-on alerts"
],
"response_actions": [
{
"name": "Contain the affected host or account",
"category": "Containment",
"risk": "Medium",
"automation_safe": false,
"approval_required": true,
"tool": "Defender for Endpoint / Entra ID",
"notes": "Requires approval -- confirm malicious intent before isolating a host or disabling an account."
},
{
"name": "Collect and preserve evidence",
"category": "Investigation",
"risk": "Low",
"automation_safe": true,
"approval_required": false,
"tool": "Defender for Endpoint",
"notes": "Safe -- read-only evidence collection."
}
],
"queries": {
"kql": [
{
"name": "ef88eb96-861c-43a0-ab16-f3835a97c928 — Powershell Empire Cmdlets Executed in Command Line",
"description": "This query identifies use of PowerShell Empire's cmdlets within the command line data of the PowerShell process, indicating potential use of the post-exploitation tool.' (Source: Microsoft's official Azure-Sentinel Detections (MIT licensed), mapped via sub-technique T1056.004.)",
"query": "let regexEmpire = tostring(toscalar(externaldata(cmdlets:string)[@\"https://raw.githubusercontent.com/Azure/Azure-Sentinel/master/Sample%20Data/Feeds/EmpireCommandString.txt\"] with (format=\"txt\")));\n(union isfuzzy=true\n (SecurityEvent\n| where EventID == 4688\n//consider filtering on filename if perf issues occur\n//where FileName in~ (\"powershell.exe\",\"powershell_ise.exe\",\"pwsh.exe\")\n| where not(ParentProcessName has_any ('gc_worker.exe', 'gc_service.exe'))\n| where CommandLine has \"-encodedCommand\"\n| parse kind=regex flags=i CommandLine with * \"-EncodedCommand \" encodedCommand\n| extend encodedCommand = iff(encodedCommand has \" \", tostring(split(encodedCommand, \" \")[0]), encodedCommand)\n// Note: currently the base64_decode_tostring function is limited to supporting UTF8\n| extend decodedCommand = translate('\\0','', base64_decode_tostring(substring(encodedCommand, 0, strlen(encodedCommand) - (strlen(encodedCommand) %8)))), encodedCommand, CommandLine , strlen(encodedCommand)\n| extend EfectiveCommand = iff(isnotempty(encodedCommand), decodedCommand, CommandLine)\n| where EfectiveCommand matches regex regexEmpire\n| project timestamp = TimeGenerated, Computer, SubjectUserName, SubjectDomainName, FileName = Process, EfectiveCommand, decodedCommand, encodedCommand, CommandLine, ParentProcessName\n| extend HostName = split(Computer, '.', 0)[0], DnsDomain = strcat_array(array_slice(split(Computer, '.'), 1, -1), '.')\n),\n(WindowsEvent\n| where EventID == 4688\n| where EventData has_any (\"-encodedCommand\", \"powershell.exe\",\"powershell_ise.exe\",\"pwsh.exe\")\n| where not(EventData has_any ('gc_worker.exe', 'gc_service.exe'))\n//consider filtering on filename if perf issues occur\n//extend NewProcessName = tostring(EventData.NewProcessName)\n//extend Process=tostring(split(NewProcessName, '\\\\')[-1])\n//FileName = Process\n//where FileName in~ (\"powershell.exe\",\"powershell_ise.exe\",\"pwsh.exe\")\n| extend ParentProcessName = tostring(EventData.ParentProcessName)\n| where not(ParentProcessName has_any ('gc_worker.exe', 'gc_service.exe'))\n| extend CommandLine = tostring(EventData.CommandLine)\n| where CommandLine has \"-encodedCommand\"\n| parse kind=regex flags=i CommandLine with * \"-EncodedCommand \" encodedCommand\n| extend encodedCommand = iff(encodedCommand has \" \", tostring(split(encodedCommand, \" \")[0]), encodedCommand)\n// Note: currently the base64_decode_tostring function is limited to supporting UTF8\n| extend decodedCommand = translate('\\0','', base64_decode_tostring(substring(encodedCommand, 0, strlen(encodedCommand) - (strlen(encodedCommand) %8)))), encodedCommand, CommandLine , strlen(encodedCommand)\n| extend EfectiveCommand = iff(isnotempty(encodedCommand), decodedCommand, CommandLine)\n| where EfectiveCommand matches regex regexEmpire\n| extend SubjectUserName = tostring(EventData.SubjectUserName)\n| extend SubjectDomainName = tostring(EventData.SubjectDomainName)\n| extend NewProcessName = tostring(EventData.NewProcessName)\n| extend Process=tostring(split(NewProcessName, '\\\\')[-1])\n| project timestamp = TimeGenerated, Computer, SubjectUserName, SubjectDomainName, FileName = Process, EfectiveCommand, decodedCommand, encodedCommand, CommandLine, ParentProcessName\n| extend HostName = split(Computer, '.', 0)[0], DnsDomain = strcat_array(array_slice(split(Computer, '.'), 1, -1), '.')\n))"
},
{
"name": "8EB2B20A-BF64-4DCC-9D98-1AD559502C00 — Azure secure score MFA registration V2",
"description": "This query searches for multi-factor authentication (MFA) helps protect devices and data that are accessible to these users. Adding more authentication methods, such as the Microsoft Authenticator app or a phone number, increases the level of protection if one factor is compromised.' (Source: Microsoft's official Azure-Sentinel Detections (MIT licensed).)",
"query": "SenservaPro_CL\n| where ControlName_s == 'AzureSecureScoreMFARegistrationV2'"
}
],
"spl": [],
"esql": [
{
"name": "38948d29-3d5d-42e3-8aec-be832aaaf8eb — Prompt for Credentials with Osascript",
"description": "(EQL) Identifies the use of osascript to execute scripts via standard input that may prompt a user with a rogue dialog for credentials. (Source: Elastic's official detection-rules repository (Elastic License v2).)",
"query": "process where event.action == \"exec\" and host.os.type == \"macos\" and\n process.name == \"osascript\" and process.args == \"-e\" and process.command_line like~ (\"*osascript*display*dialog*password*\", \"*osascript*display*dialog*passphrase*\", \"*osascript*display*dialog*authenticate*\", \"*pass*display*dialog*\") and\n not (process.parent.executable == \"/usr/bin/sudo\" and process.command_line like~ \"*Encryption Key Escrow*\") and\n not (process.command_line like~ \"*-e with timeout of 3600 seconds*\" and user.id like \"0\" and process.parent.executable == \"/bin/bash\") and\n not process.parent.command_line like \"sudo*\" and\n not process.Ext.effective_parent.executable like~\n (\"/usr/local/jamf/*\",\n \"/Library/Intune/Microsoft Intune Agent.app/Contents/MacOS/IntuneMdmDaemon\",\n \"/Library/Application Support/Mosyle/MosyleMDM.app/Contents/MacOS/MosyleMDM\",\n \"/Applications/NinjaRMMAgent/programfiles/ninjarmm-macagent\",\n \"/Applications/Karabiner-Elements.app/Contents/MacOS/Karabiner-Elements\",\n \"/Library/Application Support/JAMF/Jamf.app/Contents/MacOS/JamfDaemon.app/Contents/MacOS/JamfDaemon\",\n \"/Library/Application Support/JAMF/Jamf.app/Contents/MacOS/JamfManagementService.app/Contents/MacOS/JamfManagementService\")"
},
{
"name": "9eaa3fb1-3f70-48ed-bb0e-d7ae4d3c8f28 — Potential SSH Password Grabbing via strace",
"description": "(EQL) Detects potential SSH password grabbing via the use of strace on sshd processes. Attackers may use strace to capture sensitive information, such as passwords, by tracing system calls made by the sshd process. This rule looks for a sequence of events where an sshd process ends followed closely by the start of a strace process... (Source: Elastic's official detection-rules repository (Elastic License v2).)",
"query": "sequence by host.id with maxspan=3s\n [process where host.os.type == \"linux\" and event.type == \"end\" and process.name == \"sshd\"]\n [process where host.os.type == \"linux\" and event.type == \"start\" and event.action == \"exec\" and process.name == \"strace\"]"
}
]
},
"automation": {
"safe": [
"Add recommendation as Sentinel incident comment.",
"Run enrichment queries.",
"Create ServiceNow SecOps task."
],
"approval_required": [
"Contain or disable the affected host/account.",
"Any change to production configuration."
]
},
"escalation_criteria": [
"Input Capture activity observed on a privileged account or critical system.",
"Activity follows or precedes other suspicious behaviour in the same investigation.",
"Automated triage cannot confidently rule out malicious intent."
],
"false_positive_considerations": [
"Legitimate administrative or maintenance activity matching this pattern.",
"Approved security testing or red team exercise.",
"Known benign software producing similar telemetry."
],
"confluence": {
"title": "T1056 - Input Capture Response Guidance",
"labels": [
"mitre",
"attack",
"d3fend",
"secops",
"basyrix"
],
"sections": [
"summary",
"d3fend_mappings",
"investigation_steps",
"response_actions",
"queries",
"automation",
"escalation_criteria",
"false_positive_considerations"
]
}
}