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Lab 02 β€” Suspicious Authentication Investigation

Welcome to:

Lab 02 β€” Suspicious Authentication Investigation

In the previous lab, you investigated an authentication alert that ultimately turned out to be:

Benign
True Positive

This investigation will be different.

This time, several signals begin to align:

Failed Logins
↓
Successful Login
↓
New Device
↓
MFA Anomaly
↓
Privilege Activity

Your challenge is to determine whether these signals represent:

Legitimate
User Activity

or:

Account
Compromise

You will move beyond basic alert triage and perform a deeper identity investigation.

You are continuing as a:

SOC Analyst

at:

CloudNova Technologies

Your SOC receives a high-priority identity alert involving an employee account.

The user works in:

Finance

and has access to several sensitive enterprise applications.

Your responsibility is to:

Validate
Investigate
Determine Scope
Assess Risk
Contain
Escalate
Document

the authentication incident.

CloudNova uses:

Enterprise Identity Platform
MFA
Corporate VPN
Windows Endpoints
Email
AWS Cloud
Finance Applications
SIEM
EDR

Available telemetry includes:

Authentication Logs
MFA Logs
Device Information
VPN Logs
Identity Changes
Email Audit Logs
Cloud Audit Logs
EDR
Threat Intelligence

Your SIEM generates:

Alert ID:
ALT-2047
Detection:
Suspicious Authentication
with MFA Anomaly
Severity:
High
User:
emily.carter@cloudnova.example
Source IP:
203.0.113.91
Country:
Netherlands
Application:
Corporate Identity Portal
Failed Logins:
8
Successful Login:
Yes
Device:
Unknown
MFA:
Multiple Denials
Followed by Approval
Time:
14:18 UTC

The detection identifies:

Multiple
Failed Logins
↓
Successful Password
Authentication
↓
Repeated MFA
Denials
↓
MFA Approval
↓
New Device

within:

15 Minutes

Do not immediately state:

Account
Compromised

Instead determine:

Did the User
Perform the Login?
Was MFA
Socially Engineered?
Is the Device
Legitimate?
What Happened
After Authentication?
Did the Account
Gain New Privileges?
Was Sensitive
Data Accessed?

By completing this lab, you will learn how to:

  • investigate suspicious authentication.

  • analyze failed and successful login sequences.

  • review source IP context.

  • analyze user authentication baselines.

  • investigate new-device activity.

  • analyze MFA fatigue patterns.

  • review MFA registration changes.

  • investigate session creation.

  • review identity changes.

  • analyze privilege escalation.

  • investigate mailbox activity.

  • analyze cloud activity.

  • correlate authentication across data sources.

  • determine whether an account is compromised.

  • determine incident scope.

  • build an authentication timeline.

  • identify possible attack stages.

  • map activity to MITRE ATT&CK.

  • determine appropriate containment.

  • recommend session revocation.

  • recommend credential reset.

  • determine whether MFA reset is required.

  • create an escalation handoff.

  • document a defensible SOC investigation.

You should understand:

Authentication
MFA
Session
Identity
Device
Privilege
SIEM
Threat Intelligence
Account Compromise
Incident Response

Assume access to:

SIEM
Identity Platform
MFA Logs
EDR
VPN
Email Audit Logs
Cloud Audit Logs
Threat Intelligence
Asset Inventory
Case Management

By the end of this lab, create:

01 Alert_Triage_Worksheet.csv
02 Authentication_Timeline.csv
03 User_Baseline.csv
04 Device_Investigation.csv
05 MFA_Analysis.csv
06 Session_Activity.csv
07 Identity_Change_Register.csv
08 Evidence_Register.csv
09 Compromise_Findings.csv
10 Incident_Scope.csv
11 MITRE_ATTACK_Mapping.csv
12 Containment_Plan.md
13 Escalation_Handoff.md
14 SOC_Investigation_Report.md

Record the alert details.

Create:

Alert_Triage_Worksheet.csv

Use:

Field Value
Alert ID ALT-2047
User emily.carter@cloudnova.example
Source IP 203.0.113.91
Country Netherlands
Failed Logins 8
Successful Login Yes
MFA Denials Multiple
MFA Approval Yes
Device Unknown
Severity High
Time 14:18 UTC

The alert represents:

Password Failure
Password Failure
Password Failure
↓
Password Success
↓
MFA Denial
MFA Denial
MFA Denial
↓
MFA Approval
↓
New Device

This pattern is more suspicious than:

Failed Password
↓
Successful Password

alone.

Why?

Because the MFA behavior may indicate:

MFA Fatigue
Social Engineering
Unexpected User Action

Identity records show:

Name:
Emily Carter
Department:
Finance
Role:
Finance Operations Manager
Employment:
Active
Account Type:
Standard User
Additional Access:
Finance Reporting
Corporate Email
AWS Billing Dashboard
Primary Location:
London, UK
Working Hours:
08:00–17:00 UTC

The account is not a global administrator.

However, it has access to:

Financial Information
Corporate Email
Cloud Billing Data

Therefore compromise still matters.

Review:

30 Days

of authentication history.

Normal activity:

United Kingdom
Corporate Laptop
London Office
Home ISP
Corporate VPN

Common device:

EMILY-LAPTOP
Device ID:
DEV-6621

Current authentication:

Country:
Netherlands
Device:
Unknown

You now have:

New Country
New Device
New Source IP

These increase suspicion.

But remember:

New
β‰ 
Malicious

Threat-intelligence enrichment returns:

IP:
203.0.113.91
Country:
Netherlands
Provider:
Cloud Hosting Provider
Residential:
No
VPN / Proxy:
Possible
TOR:
No
Threat Reputation:
Previously Observed
in Credential Abuse
Campaigns
Confidence:
Medium

This is stronger evidence than:

Unknown IP

because it has:

Known
Risk Context

But threat intelligence remains supporting evidence.

It does not independently prove compromise.

Search authentication logs.

You find:

14:09
Password Failure
14:10
Password Failure
14:11
Password Failure
14:12
Password Failure
14:13
Password Failure
14:14
Password Failure
14:15
Password Failure
14:16
Password Failure
14:17
Password Success
14:17
MFA Push Sent
14:17
MFA Denied
14:17
MFA Push Sent
14:18
MFA Denied
14:18
MFA Push Sent
14:18
MFA Approved
14:18
Authentication Successful
Multiple
Password Failures
↓
Password Success
↓
Repeated MFA
Push Requests
↓
Denials
↓
One Approval

This is consistent with a possible:

MFA Fatigue
Scenario

Create:

MFA_Analysis.csv

with:

Time Event Result Significance
14:17 MFA Push Sent Authentication challenge
14:17 MFA Denied User rejected request
14:17 MFA Push Sent Repeated challenge
14:18 MFA Denied User rejected again
14:18 MFA Push Sent Third challenge
14:18 MFA Approved Authentication completed

Why would the user:

Deny

two authentication requests and then:

Approve

the third?

Possible explanations:

Accidental Denial
Confusion
User Initiated Login
MFA Fatigue
Social Engineering

You need user confirmation and post-login analysis.

Search:

MFA Method
Changes

before and after the login.

You find:

No New
Authentication Method
No MFA Device
Registration
No MFA Removal

This means the attacker did not appear to establish a new MFA mechanism.

But they may still have gained:

Authenticated Session

The successful login shows:

Device ID:
Unknown
Device Name:
Unknown
Managed:
No
Compliance:
Unknown
Browser:
Chrome
OS:
Linux

Emily’s normal endpoint:

Windows
Managed
Corporate Device

The successful login originated from:

Unmanaged
Linux Device

that has:

No Previous
User History

This materially increases suspicion.

At:

14:18 UTC

Emily already has an active session from:

DEV-6621

in:

London, UK

The new session originates from:

Netherlands

at nearly the same time.

Two sessions:

Session A
Known Corporate Device
London
+
Session B
Unknown Device
Netherlands

exist concurrently.

This is a significant anomaly.

At:

13:58 UTC

Emily authenticated from:

London

At:

14:18 UTC

the second login occurred from:

Netherlands

20 minutes later.

This appears geographically inconsistent.

However:

Impossible Travel
β‰ 
Confirmed Compromise

because VPN or cloud services can distort location.

But when combined with:

New Device
MFA Denials
Risky IP

confidence increases.

SOC contacts Emily.

Emily states:

I am working
from London.
I did not try
to log in from
another device.
I received several
MFA prompts.
I denied the first two.
I accidentally
approved the third
because the prompts
kept appearing.

This provides direct context supporting:

Unauthorized
Authentication

You now have:

User Denies Login
+
Repeated MFA Prompts
+
Accidental Approval
+
Unknown Device
+
New Country
+
Risky Source IP

The case should now be treated as:

Potential
Account Compromise

and escalated.

Search activity from:

14:18–15:00 UTC

You find:

14:20
Corporate Email Access
14:22
Finance Application Access
14:24
User Profile Viewed
14:26
Directory Group Search
14:29
AWS Billing Dashboard Access
14:31
Mailbox Rules Viewed
14:34
New Inbox Rule Created
14:35
External Forwarding Configured

The session is no longer only:

Suspicious
Authentication

You now have:

Post-Compromise
Activity

Email audit logs show:

Rule Name:
FinanceReports
Action:
Forward Messages
Destination:
external-report@outside.example
Created:
14:34 UTC

This activity was performed from:

Session B

the suspicious session.

This indicates potential:

Mailbox
Persistence
and
Information
Collection

AWS audit logs show:

14:29
Billing Dashboard Access
14:30
Cost Report Viewed
14:31
Billing Export Requested

No:

IAM Role Change
Access Key Creation
Security Group Change

was identified.

The compromised account appears to have accessed:

Billing Information

but no evidence currently shows:

Cloud Privilege
Escalation

Search for:

Password Change
Role Change
MFA Change
Group Membership
Application Consent

You find:

No Password Change
No Admin Role
No MFA Change
No Group Change

This is useful for scope.

You find:

No New
OAuth Application
No New
Consent Grant

This reduces one persistence path.

Emily’s corporate endpoint:

DEV-6621

shows:

No Malware Alert
No Suspicious PowerShell
No Credential Dumping
No Unknown Process

The evidence currently suggests:

Identity
Compromise

rather than:

Corporate Endpoint
Compromise

Current evidence supports:

Credential
Obtained
↓
Attacker
Attempts Login
↓
Repeated MFA
Prompts
↓
User Accidentally
Approves
↓
Attacker Gains
Session
↓
Email Access
↓
Cloud Billing Access
↓
Mailbox Rule
↓
External Forwarding

We know the attacker successfully supplied:

Correct Password

But we do not yet know:

How the Password
Was Obtained

Possible sources:

Phishing
Credential Reuse
Infostealer
Previous Data Breach
Social Engineering

Do not claim a specific initial-access method without evidence.

Create:

Incident_Scope.csv

Use:

Entity Type Status Evidence
Emily Carter Identity Compromised User confirmation + session activity
Session B Session Malicious Unknown device + unauthorized activity
Corporate Email Application Affected Mailbox rule created
Finance Application Application Accessed Audit logs
AWS Billing Cloud Accessed Cloud audit logs
DEV-6621 Endpoint No compromise found EDR review

Unknowns include:

How Credentials
Were Stolen
How Long the
Attacker Had Password
Whether Other
Accounts Were Targeted
Whether Forwarded
Email Contained
Sensitive Information
Whether Data Was
Downloaded Elsewhere

Track these separately.

Create:

Authentication_Timeline.csv

Use:

Time Source Event Significance
13:58 Identity Normal London login Baseline
14:09–14:16 Identity 8 password failures Credential attempts
14:17 Identity Password success Correct credential obtained
14:17–14:18 MFA Two denials Unexpected MFA
14:18 MFA Approval Attacker gains session
14:18 Identity New session Unknown device
14:20 Email Mailbox access Post-login activity
14:29 AWS Billing access Cloud activity
14:34 Email Inbox rule created Persistence
14:35 Email External forwarding Possible collection/exposure

Create:

Evidence_Register.csv

Use:

Evidence ID Source Observation Significance
EVD-001 Identity 8 failed logins Authentication attack pattern
EVD-002 MFA Repeated denials then approval MFA fatigue indicator
EVD-003 Device Unknown unmanaged Linux device Strong anomaly
EVD-004 Identity Concurrent London session Supports unauthorized second session
EVD-005 User User denies login Strong validation
EVD-006 Email Inbox rule created Post-compromise activity
EVD-007 Email External forwarding Possible information exposure
EVD-008 AWS Billing access Cloud scope
EVD-009 EDR No endpoint compromise Scope limitation

Create:

Compromise_Findings.csv

with:

Finding Evidence Confidence
Password was successfully used by unauthorized actor Identity + user confirmation High
MFA fatigue likely contributed to access MFA + user confirmation High
Unknown device created session Device telemetry Confirmed
Account accessed from unauthorized location User + identity logs High
Mailbox rule created by suspicious session Email audit Confirmed
External forwarding enabled Email audit Confirmed
AWS billing data accessed Cloud audit Confirmed
Endpoint compromise not identified EDR Moderate

This is no longer:

Benign
True Positive

Classification:

Confirmed
Account Compromise

with:

High Confidence

Factors:

Confirmed Account
Compromise
MFA Bypass
through User Approval
Finance User
Email Access
External Forwarding
Cloud Billing Access

Candidate severity:

High

depending on organizational methodology.

Recommended priority actions:

Revoke Suspicious
Session
↓
Revoke All
Active Sessions
↓
Reset Password
↓
Reset / Re-Register
MFA
↓
Remove Mailbox Rule
↓
Disable External
Forwarding
↓
Review OAuth Grants
↓
Monitor Re-Authentication

Do not only:

Reset Password

because an attacker may retain:

Existing
Authenticated Session

or:

Refresh Token

The response must address:

Credentials
+
Sessions

Reset:

User Password

and invalidate:

Known
Authentication Tokens

according to the identity platform’s response procedures.

Because the user approved a malicious MFA request:

Review Registered
Authentication Methods

and perform:

MFA Reset
or
Re-Registration

if required by policy.

Delete:

FinanceReports

mailbox rule.

Disable:

External Forwarding

Then search:

All Mailbox Rules

for unexpected changes.

Investigate:

Sent Mail
Deleted Mail
Search Activity
Downloads
External Forwarding
Other Rules

The source IP:

203.0.113.91

should be searched across identity logs.

Question:

Did the Same
Source Attempt
Other Accounts?

Assume you find:

12 Other Users
Authentication Failures
No Additional
Successful Login

The incident may be part of:

Password Spray
or
Credential Attack

against multiple users.

Create:

Related_Account_Review.csv

with:

User Failed Attempts Success MFA Status
Emily Carter 8 Yes Approved Compromised
User 02 3 No N/A Targeted
User 03 2 No N/A Targeted
… … … … …

Search:

Source IP
↓
All Users
↓
All Applications
↓
Last 24 Hours

Then search for:

Same User Agent
Same Device Fingerprint
Same ASN
Similar Authentication
Pattern

Create:

MITRE_ATTACK_Mapping.csv

Possible mapping:

Activity Tactic Technique
Credential use Credential Access / Initial Access context Valid Accounts
MFA push abuse Credential Access / Defense Evasion context Authentication Process Abuse
Cloud/email login Initial Access / Persistence context Valid Accounts
Mailbox rule Persistence Email Collection / Account Manipulation context
Directory searches Discovery Account Discovery
AWS billing access Discovery / Collection Cloud Service Discovery

Use the ATT&CK mappings appropriate to your approved curriculum and current ATT&CK version.

Your current incident narrative is:

Unknown Actor
Possesses Emily's
Password
↓
Attempts Authentication
↓
Repeated MFA
Challenges Sent
↓
User Denies
Two Requests
↓
User Accidentally
Approves Third
↓
Attacker Gains
Authenticated Session
↓
Accesses Email
↓
Performs
Directory Discovery
↓
Accesses AWS
Billing Information
↓
Creates
Mailbox Rule
↓
Enables External
Forwarding

Create:

Containment_Plan.md

Use:

# Incident
Confirmed Account Compromise
# Identity Actions
Revoke all sessions
Reset password
Review authentication methods
Reset MFA where required
Review privilege assignments
# Email Actions
Remove malicious rule
Disable external forwarding
Review mailbox audit activity
Search sent/deleted messages
# Cloud Actions
Review cloud activity
Validate no privilege changes
Review billing exports
Monitor renewed access
# SOC Actions
Block / monitor source IP
according to policy
Search related users
Hunt similar MFA patterns
Monitor reauthentication
# User Actions
Notify user
Provide MFA fatigue guidance
Confirm safe reauthentication

This incident requires escalation because:

Confirmed
Unauthorized Access
+
MFA Abuse
+
Email Persistence
+
Sensitive Application
Access

Escalate to:

Tier 2 SOC
Incident Response
Identity Team
Email Security
Cloud Security

as appropriate.

Create:

Escalation_Handoff.md

Use:

# Incident
Confirmed account compromise
involving Emily Carter.
# Initial Alert
Repeated password failures,
successful authentication,
multiple MFA denials and
subsequent MFA approval.
# Key Evidence
User denied initiating login.
Unknown unmanaged Linux device.
Source IP associated with
credential abuse activity.
Concurrent legitimate
London session.
Unauthorized mailbox rule.
External forwarding enabled.
AWS billing dashboard accessed.
# Scope
Identity:
Confirmed compromise.
Email:
Affected.
AWS Billing:
Accessed.
Endpoint:
No compromise
currently identified.
# Containment Recommended
Revoke sessions.
Reset password.
Reset MFA.
Remove mailbox rule.
Disable forwarding.
Review OAuth.
Search other targeted accounts.
# Priority
High.
# Required Teams
Tier 2 SOC
Incident Response
Identity
Email
Cloud Security

Create:

SOC_Investigation_Report.md

Use:

# Case Information
Case ID:
CASE-2047
Alert:
Suspicious Authentication
with MFA Anomaly
# Initial Severity
High
# User
Emily Carter
# Initial Alert
Document alert details.
# Investigation Scope
Identity
MFA
Device
Email
AWS
Endpoint
# Evidence Reviewed
Authentication Logs
MFA Logs
Device Information
User Confirmation
Email Audit Logs
Cloud Audit Logs
EDR
Threat Intelligence
# Timeline
Reference:
Authentication_Timeline.csv
# Investigation
Document investigation
chronologically.
# Findings
Confirmed unauthorized
authentication.
MFA fatigue contributed
to access.
Suspicious session
used unmanaged device.
Mailbox rule created.
External forwarding enabled.
AWS billing information
accessed.
No endpoint compromise
currently identified.
# Classification
Confirmed
Account Compromise
# Confidence
High
# Severity
High
# Scope
Identity:
Affected
Email:
Affected
AWS Billing:
Accessed
Corporate Endpoint:
No compromise identified
# Containment
Document actions.
# Escalation
Tier 2 / IR required.
# Outstanding Questions
Credential theft source
Potential email exposure
Other targeted accounts
Potential additional sessions
# Analyst Conclusion
Document final
evidence-based assessment.

Example:

Investigation confirmed
unauthorized access to
Emily Carter's enterprise
account.
Authentication logs showed
multiple failed password
attempts followed by a
successful authentication
from a previously unseen
unmanaged Linux device
located outside the user's
normal operating geography.
The authentication generated
multiple MFA push requests.
The user confirmed denying
the first two requests and
accidentally approving the
third despite not initiating
the login.
After authentication,
the suspicious session
accessed corporate email,
the finance application
and AWS billing information.
Email audit records confirmed
that the suspicious session
created a new inbox rule
and enabled forwarding to
an external address.
No evidence currently
indicates compromise of
the user's assigned
corporate endpoint.
The incident is assessed
with high confidence as
an account compromise
involving MFA push abuse.
Immediate session revocation,
credential reset, MFA reset,
email remediation and
expanded identity hunting
are required.

Facts:

User Denied
Initiating Login
MFA Denials
Occurred
MFA Approval
Occurred
Unknown Device
Used
Mailbox Rule
Created
Forwarding
Enabled

Hypotheses:

Password Was
Stolen by Phishing
Attacker Is
Specific Threat Actor
Sensitive Email
Was Exfiltrated

These require additional evidence.

Do not state:

Phishing Caused
the Compromise

unless evidence proves it.

Do not state:

Data Was Stolen

only because forwarding was configured.

Do not state:

Corporate Laptop
Was Clean Forever

because current EDR review found no evidence.

Use:

No Evidence
Currently Identified
Suspicious Login
↓
Was User
Responsible?
β”‚
β”œβ”€β”€ Yes
β”‚ ↓
β”‚ Continue
β”‚ Context Review
β”‚
└── No
↓
Unauthorized
Authentication
↓
What Happened
After Login?
↓
Session Activity
↓
Persistence?
↓
Data Access?
↓
Contain
↓
Escalate

Use this checklist for future investigations:

01 User
02 Source IP
03 Geography
04 Device
05 Password Result
06 MFA Result
07 MFA Denials
08 MFA Registration
09 Concurrent Sessions
10 Login Baseline
11 User Confirmation
12 Post-Login Activity
13 Privilege Changes
14 Mailbox Rules
15 Cloud Activity
16 OAuth Grants
17 Endpoint Activity
18 Related Accounts
19 Session Revocation
20 Credential Reset

Avoid:

Calling Impossible Travel
an Automatic Compromise
Trusting MFA Approval
Ignoring Concurrent Sessions
Stopping After
Password Reset
Ignoring Mailbox Rules
Ignoring Cloud Activity
Ignoring Other
Targeted Users
Assuming Credential
Theft Method

If you investigated only:

Authentication

you might conclude:

Suspicious Login

But post-login telemetry reveals:

Mailbox Rule
External Forwarding
Cloud Access

which changes the case to:

Confirmed
Compromise

User confirmation is strong contextual evidence.

But it should still be correlated with:

Technical Logs
Device
MFA
Session
Activity

because:

Human Memory
Can Be Wrong

Modern attacks may continue through:

Sessions
Tokens
Cookies
Refresh Tokens

even after:

Password Change

Therefore account containment must consider:

Authentication
State

not only credentials.

You have successfully completed this lab when you can explain:

Why the Alert
Was Suspicious
Why MFA Denials
Mattered
Why the New Device
Mattered
Why Concurrent
Sessions Mattered
Why User Confirmation
Changed the Case
What Post-Login
Activity Proved
Why the Mailbox Rule
Was Important
How AWS Activity
Affected Scope
Why the Endpoint
Was Not Automatically
Considered Compromised
Why Session Revocation
Was Required
Why Password Reset
Alone Was Insufficient
Why the Case
Required Escalation

Keep:

01 Alert_Triage_Worksheet.csv
02 Authentication_Timeline.csv
03 User_Baseline.csv
04 Device_Investigation.csv
05 MFA_Analysis.csv
06 Session_Activity.csv
07 Identity_Change_Register.csv
08 Evidence_Register.csv
09 Compromise_Findings.csv
10 Incident_Scope.csv
11 MITRE_ATTACK_Mapping.csv
12 Related_Account_Review.csv
13 Containment_Plan.md
14 Escalation_Handoff.md
15 SOC_Investigation_Report.md
Lab 02 β€” Suspicious Authentication Investigation
β”‚
β”œβ”€β”€ 01 Alert
β”œβ”€β”€ 02 Authentication
β”œβ”€β”€ 03 User Baseline
β”œβ”€β”€ 04 Device
β”œβ”€β”€ 05 MFA
β”œβ”€β”€ 06 Sessions
β”œβ”€β”€ 07 Identity Changes
β”œβ”€β”€ 08 Evidence
β”œβ”€β”€ 09 Findings
β”œβ”€β”€ 10 Scope
β”œβ”€β”€ 11 ATT&CK
β”œβ”€β”€ 12 Related Accounts
β”œβ”€β”€ 13 Containment
β”œβ”€β”€ 14 Escalation
└── 15 Investigation Report
  1. What makes an authentication alert suspicious?

  2. Why does a new IP not automatically prove compromise?

  3. Why is authentication baseline useful?

  4. Why is a new device important?

  5. What is MFA fatigue?

  6. Why are repeated MFA denials followed by approval suspicious?

  7. Does MFA approval prove a login is legitimate?

  8. Why should MFA registration changes be reviewed?

  9. What is a concurrent session?

  10. Why can concurrent geographic sessions be important?

  11. What is impossible travel?

  12. Why does impossible travel not prove compromise?

  13. Why is user verification useful?

  14. What technical evidence should support user verification?

  15. Why should post-login activity always be reviewed?

  16. What does a mailbox rule tell an analyst?

  17. Why is external forwarding high risk?

  18. Why should OAuth grants be reviewed?

  19. What cloud activity should be checked after account compromise?

  20. Why should endpoint telemetry still be reviewed?

  21. Does identity compromise automatically mean endpoint compromise?

  22. Why should the source IP be searched across all users?

  23. What is incident scope?

  24. What is the difference between confirmed and unknown scope?

  25. Why should facts and hypotheses be separated?

  26. Why should the method of credential theft remain unknown without evidence?

  27. Why must sessions be revoked?

  28. Why is a password reset alone insufficient?

  29. When should MFA be reset?

  30. Why should mailbox rules be removed?

  31. Why should related users be hunted?

  32. When should the case be escalated?

  33. What makes this a confirmed account compromise?

  34. What factors influence severity?

  35. What makes the final conclusion defensible?

Authentication investigation follows:

Alert
↓
User
↓
Source
↓
Device
↓
MFA
↓
Session
↓
Post-Login Activity
↓
Scope
↓
Containment

Remember:

New Location
β‰ 
Compromise
MFA Approved
β‰ 
User Authorized
Password Reset
β‰ 
Session Revoked
Identity Compromise
β‰ 
Endpoint Compromise
Mailbox Forwarding
β‰ 
Confirmed Exfiltration

but:

User Denial
+
MFA Fatigue
+
Unknown Device
+
Unauthorized Session
+
Malicious Post-Login Activity

can provide strong evidence of:

Account
Compromise

The professional workflow is:

Authentication
↓
Validation
↓
Session Analysis
↓
Activity Analysis
↓
Scope
↓
Containment
↓
Escalation

This lab mirrors real work performed by:

SOC Analysts
Identity Security Analysts
Blue Team Analysts
Incident Responders
Security Operations Analysts

During an interview, you should be able to explain:

I investigated
a suspicious authentication
alert involving repeated
password failures,
MFA denials and a
successful login from
an unknown device.
I established the user's
normal authentication
baseline, reviewed the
source IP, device,
concurrent sessions and
MFA events.
The user confirmed
they had not initiated
the login and had
accidentally approved
one of several MFA prompts.
I correlated the
suspicious session with
mailbox rule creation,
external forwarding and
cloud application access.
I assessed the account
as compromised,
recommended immediate
session revocation,
credential and MFA reset,
email remediation and
expanded hunting across
other targeted accounts.

➑️ Next: Lab 03 β€” Phishing Email Investigation

You now know how to investigate:

Suspicious
Authentication

and determine whether credentials were actually abused.

The next question is:

How Might
Those Credentials
Have Been Stolen?

In the next lab, you will investigate a suspicious email from the moment it enters the enterprise.

You will analyze:

Sender
Email Headers
SPF
DKIM
DMARC
URLs
Domains
Attachments
Recipients
Email Gateway
Threat Intelligence
User Interaction

You will determine whether the message represents:

Spam
Benign Email
Credential Phishing
Malware Delivery
Business Email
Compromise Attempt

You will also determine:

Who Received It?
Who Clicked?
Who Submitted
Credentials?
What Should
Be Blocked?
What Should
Be Removed?
Which Users
Require Follow-Up?

➑️ Next: Lab 03 β€” Phishing Email Investigation