Discovery
T1217 — Browser Information Discovery
Adversaries may enumerate information about browsers to learn more about compromised environments. Data saved by browsers (such as bookmarks, accounts, and browsing history) may reveal a variety of personal information about users (e.g., banking sites, relationships/interests, social media, etc.) as well as details about internal network resources such as servers, tools/dashboards, or other related infrastructure...
Investigate Browser Information Discovery activity in the context of Discovery: 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
D3-NTA · detect
Network Traffic Analysis
Monitor for Network Traffic Analysis indicators relevant to this technique.
Tooling: Sentinel, Defender for Endpoint
| ATT&CK Technique | D3FEND Technique | Practical SOC Action | Tooling |
|---|---|---|---|
| T1217 Browser Information Discovery | Network Traffic Analysis | Monitor for Network Traffic Analysis indicators relevant to this technique. | Sentinel, Defender for Endpoint |
T1217 Browser Information Discovery → 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 browser information discovery 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
- Browser Information Discovery 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.
# T1217 - Browser Information Discovery
## SOC Recommendation
Investigate Browser Information Discovery activity in the context of Discovery: 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 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
- Browser Information Discovery 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/T1217.json
- /api/recommendations/T1217.json
- /api/d3fend/T1217.json
- /api/mappings/T1217.json
- /api/confluence/T1217.md
Example curl:
curl https://atlas.basyrix.com/api/recommendations/T1217.json Response:
{
"technique_id": "T1217",
"name": "Browser Information Discovery",
"priority": "medium",
"status": "draft",
"version": "0.1.0",
"last_reviewed": "2026-07-23",
"generated_by": "SOC Response Atlas by Basyrix",
"tactics": [
"Discovery"
],
"platforms": [
"Linux",
"macOS",
"Windows"
],
"summary": "Adversaries may enumerate information about browsers to learn more about compromised environments. Data saved by browsers (such as bookmarks, accounts, and browsing history) may reveal a variety of personal information about users (e.g., banking sites, relationships/interests, social media, etc.) as well as details about internal network resources such as servers, tools/dashboards, or other related infrastructure...",
"soc_recommendation": "Investigate Browser Information Discovery activity in the context of Discovery: 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 browser information discovery 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": []
},
"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": [
"Browser Information Discovery 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": "T1217 - Browser Information Discovery Response Guidance",
"labels": [
"mitre",
"attack",
"d3fend",
"secops",
"basyrix"
],
"sections": [
"summary",
"d3fend_mappings",
"investigation_steps",
"response_actions",
"queries",
"automation",
"escalation_criteria",
"false_positive_considerations"
]
}
}