Collection

T1125 — Video Capture

An adversary can leverage a computer's peripheral devices (e.g., integrated cameras or webcams) or applications (e.g., video call services) to capture video recordings for the purpose of gathering information. Images may also be captured from devices or applications, potentially in specified intervals, in lieu of video files. Malware or scripts may be used to interact with the devices through an available API provided by the operating system or an application to capture video or images...

Investigate Video Capture activity in the context of Collection: confirm scope, affected host/identity, and whether it matches expected administrative behaviour before deciding this is benign.

Platforms

Linux, macOS, Windows

Priority / status

medium / 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

ATT&CK Technique	D3FEND Technique	Practical SOC Action	Tooling
T1125 Video Capture	Input Device Analysis	Monitor for Input Device Analysis indicators relevant to this technique.	Defender for Endpoint
T1125 Video Capture	Radiation Hardening	Apply Radiation Hardening to reduce this technique's viability before an incident occurs.	Defender for Endpoint
T1125 Video Capture	IO Port Restriction	Apply IO Port Restriction to contain the blast radius once this technique is observed.	Defender for Endpoint
T1125 Video Capture	Hardware Component Inventory	Use Hardware Component Inventory to establish a baseline that makes this technique's deviations easier to spot.	Defender for Endpoint

T1125 Video 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 video 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), '.')
))

Escalation criteria

Video 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.

View Markdown Download Markdown

# T1125 - Video Capture

## SOC Recommendation
Investigate Video Capture activity in the context of Collection: 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. |
| Hardware Component Inventory | Model | Use Hardware Component Inventory to establish a baseline that makes this technique's deviations easier to spot. |

## 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), '.')
))
```

## Escalation Criteria
- Video 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.

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Example curl:

curl https://atlas.basyrix.com/api/recommendations/T1125.json

Response:

{
  "technique_id": "T1125",
  "name": "Video Capture",
  "priority": "medium",
  "status": "draft",
  "version": "0.1.0",
  "last_reviewed": "2026-07-23",
  "generated_by": "SOC Response Atlas by Basyrix",
  "tactics": [
    "Collection"
  ],
  "platforms": [
    "Linux",
    "macOS",
    "Windows"
  ],
  "summary": "An adversary can leverage a computer's peripheral devices (e.g., integrated cameras or webcams) or applications (e.g., video call services) to capture video recordings for the purpose of gathering information. Images may also be captured from devices or applications, potentially in specified intervals, in lieu of video files. Malware or scripts may be used to interact with the devices through an available API provided by the operating system or an application to capture video or images...",
  "soc_recommendation": "Investigate Video Capture activity in the context of Collection: 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-HCI",
      "name": "Hardware Component Inventory",
      "relationship": "model",
      "practical_action": "Use Hardware Component Inventory to establish a baseline that makes this technique's deviations easier to spot.",
      "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 video 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).)",
        "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))"
      }
    ],
    "spl": [],
    "esql": [
      {
        "name": "eb44611f-62a8-4036-a5ef-587098be6c43 — PowerShell Script with Webcam Video Capture Capabilities",
        "description": "(KUERY) Detects PowerShell script block content that references webcam capture APIs or video capture device objects. Attackers use webcam recording to surveil victims or collect sensitive footage for extortion. (Source: Elastic's official detection-rules repository (Elastic License v2).)",
        "query": "event.category:process and host.os.type:windows and\n  powershell.file.script_block_text : (\n    \"NewFrameEventHandler\" or\n    \"VideoCaptureDevice\" or\n    \"DirectX.Capture.Filters\" or\n    \"VideoCompressors\" or\n    \"Start-WebcamRecorder\" or\n    (\n      (\"capCreateCaptureWindowA\" or\n       \"capCreateCaptureWindow\" or\n       \"capGetDriverDescription\") and\n      (\"avicap32.dll\" or \"avicap32\")\n    )\n  )"
      },
      {
        "name": "93dd73f9-3e59-45be-b023-c681273baf81 — Linux Video Recording or Screenshot Activity Detected",
        "description": "(KUERY) This rule monitors for the usage of the most common video recording or screenshot utilities on unix systems by an uncommon process parent. Adversaries may collect video or screenshot data from users or systems for a variety of reasons including espionage, credential theft, or reconnaissance. (Source: Elastic's official detection-rules repository (Elastic License v2).)",
        "query": "event.category:process and host.os.type:\"linux\" and event.type:\"start\" and event.action:(\"exec\" or \"exec_event\" or \"start\") and\nprocess.name:(\n  \"gnome-screenshot\" or \"spectacle\" or \"xfce4-screenshooter\" or \"mate-screenshot\" or \"scrot\" or \"maim\" or \"import\" or \"grim\" or\n  \"grimshot\" or \"slurp\" or \"flameshot\" or \"shutter\" or \"ksnip\" or \"deepin-screenshot\" or \"simplescreenrecorder\" or \"kazam\" or\n  \"vokoscreen\" or \"recordmydesktop\" or \"obs\" or \"obs-studio\"\n) and\nnot process.args:(\"-h\" or \"--help\" or \"--version\")"
      }
    ]
  },
  "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": [
    "Video 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": "T1125 - Video Capture Response Guidance",
    "labels": [
      "mitre",
      "attack",
      "d3fend",
      "secops",
      "basyrix"
    ],
    "sections": [
      "summary",
      "d3fend_mappings",
      "investigation_steps",
      "response_actions",
      "queries",
      "automation",
      "escalation_criteria",
      "false_positive_considerations"
    ]
  }
}