dandye Suspicious Login Triage Skill
Guide initial triage of suspicious login alerts (impossible travel, untrusted location, multiple failed logins) for Tier 1 SOC Analysts.
Inputs
CASE_ID- SOAR case ID containing the alert(s)ALERT_GROUP_IDENTIFIERS- Alert group identifiers from the case- (Optional)
USER_ID- The user ID if known upfront - (Optional)
SOURCE_IP- The source IP if known upfront
Workflow
Step 1: Get Case Context
secops-soar.get_case_full_details(case_id=CASE_ID)
Step 2: Extract Key Entities
secops-soar.list_events_by_alert(case_id=CASE_ID, alert_id=ALERT_ID)
Parse events to extract:
USER_ID- The user accountSOURCE_IP- The login source IPHOSTNAME- The target/source hostname (if available)
Step 3: User Context (SIEM)
secops-mcp.lookup_entity(entity_value=USER_ID)
Record: Recent activity, first/last seen, related alerts.
Step 4: Source IP Enrichment
Use /enrich-ioc with IOC_TYPE="IP Address":
- GTI reputation and geolocation
- SIEM entity summary
- IOC match status
Step 5: Hostname Context (if available)
secops-mcp.lookup_entity(entity_value=HOSTNAME)
Step 6: Recent Login Activity
Search for login patterns over the last 96 hours:
secops-mcp.search_security_events(
text='metadata.event_type IN ("USER_LOGIN", "AUTH_ATTEMPT") AND principal.user.userid = "USER_ID"',
hours_back=96
)
Analyze for:
- Logins from unusual IPs
- Successful logins after failures
- Geographic anomalies (impossible travel)
- Concurrent sessions from different locations
Step 7: Check Related Cases
Use /find-relevant-case with search terms: [USER_ID, SOURCE_IP, HOSTNAME]
Step 8: (Optional) Identity Provider Check
If IDP tools available (e.g., Okta):
- Account status
- MFA enrollment
- Recent legitimate logins
- Password change history
Step 9: Synthesize & Document
Use /document-in-case with findings summary:
Suspicious Login Triage for USER_ID from SOURCE_IP:
- User SIEM Summary: [...]
- Source IP GTI: [reputation, geo]
- Login Pattern: [normal/anomalous]
- Related Cases: [...]
- Recommendation: [Close as FP | Escalate to Tier 2]
Required Outputs
After completing this skill, you MUST report these outputs:
| Output | Description |
|---|---|
LOGIN_VERDICT |
Assessment: legitimate, suspicious, or malicious |
ANOMALY_INDICATORS |
What made the login suspicious (impossible travel, new device, etc.) |
RELATED_ACTIVITY |
Other suspicious activity from user or source IP |
RISK_SCORE |
Numerical risk assessment (0-100) based on findings |
Decision Matrix
| Finding | Recommendation |
|---|---|
| Known VPN/corporate IP + normal pattern | Close as FP |
| User confirmed travel + MFA used | Close as Benign TP |
| Malicious IP reputation | Escalate |
| Impossible travel + no MFA | Escalate urgently |
| Multiple failures then success from new IP | Escalate |
| Pattern matches user's normal behavior | Close as FP |
Key Patterns to Detect
Impossible Travel:
- Login from NYC, then London 30 mins later
- Check if VPN or cloud service could explain
Credential Stuffing:
- Many failures across multiple accounts from same IP
- Success after many failures
Account Takeover:
- Login from new device/location
- Followed by password change or MFA modification
Lateral Movement:
- Same user logging into many systems rapidly
- Unusual service account activity