T1596 — Search Open Technical Databases

# T1596 - Search Open Technical Databases

## SOC Recommendation
Investigate Search Open Technical Databases activity in the context of Reconnaissance: 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 |
|---|---|---|
| Network Traffic Analysis | Detect | Monitor for Network Traffic Analysis indicators relevant to this technique. |

## 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 SuspiciousCommands= pack_array('iam.list-users', 'iam.list-groups', 'ec2.describe-vpcs', 'ec2.describe-subnets', 'route53.list-hosted-zones', 'kms.list-keys', 'kms.list-aliases', 'ecs.list-clusters', 'ecs.list-services', 'iam.list-roles', 'iam.get-user''iam.list-access-keys', 'ec2.describe-security-groups', 'ec2.describe-network-acls', 'ec2.describe-network-interfaces', 'ec2.describe-route-tables', 'ec2.describe-internet-gateways', 'ec2.describe-vpc-peering-connections', 'ec2.describe-network-interfaces', 'ec2.describe-network-interfaces', 'ec2.describe-transit-gateway-vpc-attachment', 'ec2.describe-vpc');
// Retrieve AWS CloudTrail events
AWSCloudTrail 
// Filter events with UserAgent starting with "aws-cli"
| where UserAgent startswith "aws-cli" 
// Extract the command from the UserAgent using string splitting
| extend command = tostring(split(UserAgent, "off command/", 1)[0])  
// Filter events based on predefined suspicious command list
| where command has_any (SuspiciousCommands)  
| extend UserIdentityArn = iif(isempty(UserIdentityArn), tostring(parse_json(Resources)[0].ARN), UserIdentityArn)
| extend UserName = tostring(split(UserIdentityArn, '/')[-1])
| extend AccountName = case( UserIdentityPrincipalid == "Anonymous", "Anonymous", isempty(UserIdentityUserName), UserName, UserIdentityUserName)
| extend AccountName = iif(AccountName contains "@", tostring(split(AccountName, '@', 0)[0]), AccountName),
  AccountUPNSuffix = iif(AccountName contains "@", tostring(split(AccountName, '@', 1)[0]), "")
// Summarize relevant information for further analysis
| summarize 
    CommadCount = dcount(command), 
    EventCount = dcount(EventName), 
    commands = make_list(command), 
    Events = make_list(EventName) 
    by 
    bin(TimeGenerated, 1min), 
    RecipientAccountId, AccountName, AccountUPNSuffix, 
    UserIdentityUserName, 
    SourceIpAddress, 
    SessionMfaAuthenticated 
// Filter out results with a sufficient count of unique suspicious commands in 1 min time window
| where CommadCount >= 8
```
```kql
FireworkV2_CL
| where notempty(uid) and RiskScore >= 3
| extend index_name = split(uid, "/")[0]
| where index_name == "service"
```
```kql
Alerts_advisory
| where Service == "advisory" 
| extend MappedSeverity = Severity
```

## Escalation Criteria
- Search Open Technical Databases 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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• /api/techniques/T1596.json
• /api/recommendations/T1596.json
• /api/d3fend/T1596.json
• /api/mappings/T1596.json
• /api/confluence/T1596.md

Example curl:

curl https://atlas.basyrix.com/api/recommendations/T1596.json

Response:

{
  "technique_id": "T1596",
  "name": "Search Open Technical Databases",
  "priority": "medium",
  "status": "draft",
  "version": "0.1.0",
  "last_reviewed": "2026-07-23",
  "generated_by": "SOC Response Atlas by Basyrix",
  "tactics": [
    "Reconnaissance"
  ],
  "platforms": [
    "PRE"
  ],
  "summary": "Adversaries may search freely available technical databases for information about victims that can be used during targeting. Information about victims may be available in online databases and repositories, such as registrations of domains/certificates as well as public collections of network data/artifacts gathered from traffic and/or scans. Adversaries may search in different open databases depending on what information they seek to gather...",
  "soc_recommendation": "Investigate Search Open Technical Databases activity in the context of Reconnaissance: confirm scope, affected host/identity, and whether it matches expected administrative behaviour before deciding this is benign.",
  "d3fend_mappings": [
    {
      "id": "D3-NTA",
      "name": "Network Traffic Analysis",
      "relationship": "detect",
      "practical_action": "Monitor for Network Traffic Analysis indicators relevant to this technique.",
      "tooling": [
        "Sentinel",
        "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 search open technical databases 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: \"AWSCloudTrail - Suspicious AWS CLI Command Execution\" -- This detection focuses on identifying potentially suspicious activities involving the execution of AWS Command Line Interface (CLI) commands, particularly focusing on reconnaissance operations.'"
    ]
  },
  "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": "8c2dc344-9352-4ca1-8863-b1b7a5e09e59 — AWSCloudTrail - Suspicious AWS CLI Command Execution",
        "description": "This detection focuses on identifying potentially suspicious activities involving the execution of AWS Command Line Interface (CLI) commands, particularly focusing on reconnaissance operations.' (Source: Microsoft's official Azure-Sentinel Detections (MIT licensed).)",
        "query": "let SuspiciousCommands= pack_array('iam.list-users', 'iam.list-groups', 'ec2.describe-vpcs', 'ec2.describe-subnets', 'route53.list-hosted-zones', 'kms.list-keys', 'kms.list-aliases', 'ecs.list-clusters', 'ecs.list-services', 'iam.list-roles', 'iam.get-user''iam.list-access-keys', 'ec2.describe-security-groups', 'ec2.describe-network-acls', 'ec2.describe-network-interfaces', 'ec2.describe-route-tables', 'ec2.describe-internet-gateways', 'ec2.describe-vpc-peering-connections', 'ec2.describe-network-interfaces', 'ec2.describe-network-interfaces', 'ec2.describe-transit-gateway-vpc-attachment', 'ec2.describe-vpc');\n// Retrieve AWS CloudTrail events\nAWSCloudTrail \n// Filter events with UserAgent starting with \"aws-cli\"\n| where UserAgent startswith \"aws-cli\" \n// Extract the command from the UserAgent using string splitting\n| extend command = tostring(split(UserAgent, \"off command/\", 1)[0])  \n// Filter events based on predefined suspicious command list\n| where command has_any (SuspiciousCommands)  \n| extend UserIdentityArn = iif(isempty(UserIdentityArn), tostring(parse_json(Resources)[0].ARN), UserIdentityArn)\n| extend UserName = tostring(split(UserIdentityArn, '/')[-1])\n| extend AccountName = case( UserIdentityPrincipalid == \"Anonymous\", \"Anonymous\", isempty(UserIdentityUserName), UserName, UserIdentityUserName)\n| extend AccountName = iif(AccountName contains \"@\", tostring(split(AccountName, '@', 0)[0]), AccountName),\n  AccountUPNSuffix = iif(AccountName contains \"@\", tostring(split(AccountName, '@', 1)[0]), \"\")\n// Summarize relevant information for further analysis\n| summarize \n    CommadCount = dcount(command), \n    EventCount = dcount(EventName), \n    commands = make_list(command), \n    Events = make_list(EventName) \n    by \n    bin(TimeGenerated, 1min), \n    RecipientAccountId, AccountName, AccountUPNSuffix, \n    UserIdentityUserName, \n    SourceIpAddress, \n    SessionMfaAuthenticated \n// Filter out results with a sufficient count of unique suspicious commands in 1 min time window\n| where CommadCount >= 8"
      },
      {
        "name": "9cb7c337-f175-4af6-b0e8-b6b7552d762d — Flare host results",
        "description": "This query searches for events relating to IP, domain or host' (Source: Microsoft's official Azure-Sentinel Detections (MIT licensed).)",
        "query": "FireworkV2_CL\n| where notempty(uid) and RiskScore >= 3\n| extend index_name = split(uid, \"/\")[0]\n| where index_name == \"service\""
      },
      {
        "name": "1932DCFD-A32E-49F9-A212-5BCD084FBD78 — Cyble Advisory Alerts Advisory",
        "description": "Generates Microsoft Sentinel incidents from Cyble Advisory service alerts. Advisory alerts provide intelligence and context related to monitored keywords.Severity is normalized using MappedSeverity for downstream automation.' (Source: Microsoft's official Azure-Sentinel Detections (MIT licensed).)",
        "query": "Alerts_advisory\n| where Service == \"advisory\" \n| extend MappedSeverity = Severity"
      }
    ],
    "spl": [],
    "esql": []
  },
  "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": [
    "Search Open Technical Databases 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": "T1596 - Search Open Technical Databases Response Guidance",
    "labels": [
      "mitre",
      "attack",
      "d3fend",
      "secops",
      "basyrix"
    ],
    "sections": [
      "summary",
      "d3fend_mappings",
      "investigation_steps",
      "response_actions",
      "queries",
      "automation",
      "escalation_criteria",
      "false_positive_considerations"
    ]
  }
}