# T1119 - Automated Collection

## SOC Recommendation
Investigate Automated Collection 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 |
|---|---|---|
| File Analysis | Detect | Monitor for File Analysis indicators relevant to this technique. |
| File Encryption | Harden | Apply File Encryption to reduce this technique's viability before an incident occurs. |
| File Eviction | Evict | Use File Eviction to remove the adversary's foothold once this technique is confirmed. |
| Content Filtering | Isolate | Apply Content Filtering to contain the blast radius once this technique is observed. |

## 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 firstRec = FortyTwoCrunchAPIProtection
| where TimeGenerated >= ago(5m) 
| project-away NonBlockingMode, SourcePort, DestinationPort, Query, ApiId, RequestHeader, ResponseHeader, Errors, EventType, Uuid
| where UriPath has "/api/properties?page=" and Status == 200;
let rateLimitCount = (toscalar(firstRec | count));
let recCount = iff((rateLimitCount > 100), 1, 0);
firstRec | top recCount by Timestamp desc;
```
```kql
ADOAuditLogs
// Look for known bad user agents
| where UserAgent has_any ("ADOKit")
| extend timestamp = TimeGenerated
| extend AccountName = tostring(split(ActorUPN, "@")[0]), AccountUPNSuffix = tostring(split(ActorUPN, "@")[1])
```
```kql
// High severity - Data Breach and Web Monitoring - Dark Web
let timeFrame = 5m;
CyfirmaDBWMDarkWebAlerts_CL
| where severity == 'Critical' and TimeGenerated between (ago(timeFrame) .. now())
| extend
    Description=description,
    FirstSeen=first_seen,
    LastSeen=last_seen,
    RiskScore=risk_score,
    AlertUID=alert_uid,
    UID=uid,
    AssetType=asset_type,
    AssetValue=signature,
    Impact=impact,
    Recommendation='',
    ProviderName='CYFIRMA',
    ProductName='DeCYFIR/DeTCT',
    AlertTitle=Alert_title
| project
    TimeGenerated,
    Description,
    RiskScore,
    FirstSeen,
    LastSeen,
    AlertUID,
    UID,
    AssetType,
    AssetValue,
    Impact,
    ProductName,
    ProviderName,
    AlertTitle
```

## Escalation Criteria
- Automated Collection 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.