
Investigating Phishing Email Incident
FreeStreamline your phishing email investigations with SOC tools.
Free · Opens the source repo
What Investigating Phishing Email Incident does
The Investigating Phishing Email Incident skill provides a structured approach for analyzing and responding to phishing email incidents reported by users. This skill is designed for security operations center (SOC) teams and incident response professionals who need to determine the scope and impact of phishing threats. By integrating with tools like Splunk, Microsoft Defender, and sandbox analysis platforms, it allows for a comprehensive investigation from initial report to containment actions.
When a user reports a suspicious email, the skill guides you through extracting and analyzing email headers to identify potential spoofing or malicious intent. It also facilitates the analysis of URLs and attachments, checking them against reputation services like VirusTotal and submitting them to sandbox environments for dynamic analysis. This thorough examination helps in understanding the nature of the threat and the potential risk to the organization.
Once the analysis is complete, the skill assists in determining the scope of the phishing campaign by identifying all recipients of the malicious email and checking for impacted users. This is crucial for assessing the overall impact and for taking appropriate containment actions. The skill also provides commands for purging emails from mailboxes, blocking malicious indicators, and resetting compromised credentials, ensuring a swift response to mitigate damage.
This skill is particularly beneficial for organizations that face frequent phishing attempts and need a standardized process for incident investigation and response. By utilizing this skill, SOC teams can improve their efficiency in handling phishing incidents and enhance their overall security posture.
When to use it
Use this skill when a user reports a suspicious email or when automated detection systems flag a potential phishing threat that requires detailed investigation.
When not to use it
Do not use this skill for spam or marketing emails that lack malicious intent; those should be handled by email administration instead.
What you can build with it
User Reports Suspicious Email
A user reports a phishing email through the helpdesk. Use this skill to analyze the email headers and determine if it is a threat.
Automated Detection Flags Email
An email security gateway flags a message as suspicious. This skill helps to investigate the email further and assess its impact.
Phishing Campaign Assessment
When a phishing campaign is suspected, utilize this skill to analyze multiple emails and identify all recipients who may be affected.
How to install Investigating Phishing Email Incident
View source1. Install with the skills CLI
npx skills add mukul975/anthropic-cybersecurity-skills/investigating-phishing-email-incident --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by mukul975Investigating Phishing Email Incident
When to Use
Use this skill when:
- A user reports a suspicious email via the phishing report button or helpdesk ticket
- Email security gateway flags a message that bypassed initial filters
- Automated detection identifies credential harvesting URLs or malicious attachments
- A phishing campaign targeting the organization requires scope assessment
Do not use for spam or marketing emails without malicious intent — route those to email administration for filter tuning.
Prerequisites
- Access to email gateway logs (Proofpoint, Mimecast, or Microsoft Defender for Office 365)
- Splunk or SIEM with email log ingestion (O365 Message Trace, Exchange tracking logs)
- Sandbox access (Any.Run, Joe Sandbox, or Hybrid Analysis) for URL/attachment detonation
- Microsoft Graph API or Exchange Admin Center for email search and purge operations
- URLScan.io and VirusTotal API keys
Workflow
Step 1: Extract and Analyze Email Headers
Obtain the full email headers (.eml file) from the reported message:
import email
from email import policy
with open("phishing_sample.eml", "rb") as f:
msg = email.message_from_binary_file(f, policy=policy.default)
# Extract key headers
print(f"From: {msg['From']}")
print(f"Return-Path: {msg['Return-Path']}")
print(f"Reply-To: {msg['Reply-To']}")
print(f"Subject: {msg['Subject']}")
print(f"Message-ID: {msg['Message-ID']}")
print(f"X-Originating-IP: {msg['X-Originating-IP']}")
# Parse Received headers (bottom-up for true origin)
for header in reversed(msg.get_all('Received', [])):
print(f"Received: {header[:120]}")
# Check authentication results
print(f"Authentication-Results: {msg['Authentication-Results']}")
print(f"DKIM-Signature: {msg.get('DKIM-Signature', 'NONE')[:80]}")
Key checks:
- SPF: Does
Return-Pathdomain match sending IP? Look forspf=passorspf=fail - DKIM: Is the signature valid?
dkim=passconfirms the email was not modified in transit - DMARC: Does the
Fromdomain align with SPF/DKIM domains?dmarc=failindicates spoofing
Step 2: Analyze URLs and Attachments
URL Analysis:
import requests
# Submit URL to URLScan.io
url_to_scan = "https://evil-login.example.com/office365"
response = requests.post(
"https://urlscan.io/api/v1/scan/",
headers={"API-Key": "YOUR_KEY", "Content-Type": "application/json"},
json={"url": url_to_scan, "visibility": "unlisted"}
)
scan_id = response.json()["uuid"]
print(f"Scan URL: https://urlscan.io/result/{scan_id}/")
# Check VirusTotal for URL reputation
import vt
client = vt.Client("YOUR_VT_API_KEY")
url_id = vt.url_id(url_to_scan)
url_obj = client.get_object(f"/urls/{url_id}")
print(f"VT Score: {url_obj.last_analysis_stats}")
client.close()
Attachment Analysis:
import hashlib
# Calculate file hashes
with open("attachment.docx", "rb") as f:
content = f.read()
md5 = hashlib.md5(content).hexdigest()
sha256 = hashlib.sha256(content).hexdigest()
print(f"MD5: {md5}")
print(f"SHA256: {sha256}")
# Submit to MalwareBazaar for lookup
response = requests.post(
"https://mb-api.abuse.ch/api/v1/",
data={"query": "get_info", "hash": sha256}
)
print(response.json()["query_status"])
Submit to sandbox (Any.Run or Joe Sandbox) for dynamic analysis of macros, PowerShell execution, and C2 callbacks.
Step 3: Determine Campaign Scope
Search for all recipients of the same phishing email in Splunk:
index=email sourcetype="o365:messageTrace"
(SenderAddress="attacker@evil-domain.com" OR Subject="Urgent: Password Reset Required"
OR MessageId="<phishing-message-id@evil.com>")
earliest=-7d
| stats count by RecipientAddress, DeliveryStatus, MessageTraceId
| sort - count
Alternatively, use Microsoft Graph API:
import requests
headers = {"Authorization": f"Bearer {access_token}"}
params = {
"$filter": f"subject eq 'Urgent: Password Reset Required' and "
f"receivedDateTime ge 2024-03-14T00:00:00Z",
"$select": "sender,toRecipients,subject,receivedDateTime",
"$top": 100
}
response = requests.get(
"https://graph.microsoft.com/v1.0/users/admin@company.com/messages",
headers=headers, params=params
)
messages = response.json()["value"]
print(f"Found {len(messages)} matching messages")
Step 4: Identify Impacted Users (Who Clicked)
Check proxy/web logs for users who visited the phishing URL:
index=proxy dest="evil-login.example.com" earliest=-7d
| stats count, values(action) AS actions, latest(_time) AS last_access
by src_ip, user
| lookup asset_lookup_by_cidr ip AS src_ip OUTPUT owner, category
| sort - count
| table user, src_ip, owner, actions, count, last_access
Check if credentials were submitted (POST requests to phishing domain):
index=proxy dest="evil-login.example.com" http_method=POST earliest=-7d
| stats count by src_ip, user, url, status
Step 5: Containment Actions
Purge emails from all mailboxes:
# Microsoft 365 Compliance Search and Purge
New-ComplianceSearch -Name "Phishing_Purge_2024_0315" `
-ExchangeLocation All `
-ContentMatchQuery '(From:attacker@evil-domain.com) AND (Subject:"Urgent: Password Reset Required")'
Start-ComplianceSearch -Identity "Phishing_Purge_2024_0315"
# After search completes, execute purge
New-ComplianceSearchAction -SearchName "Phishing_Purge_2024_0315" -Purge -PurgeType SoftDelete
Block indicators:
- Add sender domain to email gateway block list
- Add phishing URL domain to web proxy block list
- Add attachment hash to endpoint detection block list
- Create DNS sinkhole entry for phishing domain
Reset compromised credentials:
# Force password reset for impacted users
$impactedUsers = @("user1@company.com", "user2@company.com")
foreach ($user in $impactedUsers) {
Set-MsolUserPassword -UserPrincipalName $user -ForceChangePassword $true
Revoke-AzureADUserAllRefreshToken -ObjectId (Get-AzureADUser -ObjectId $user).ObjectId
}
Step 6: Document and Report
Create incident report with full timeline, IOCs, impacted users, and remediation actions taken.
| makeresults
| eval incident_id="PHI-2024-0315",
reported_time="2024-03-15 09:12:00",
sender="attacker@evil-domain[.]com",
subject="Urgent: Password Reset Required",
url="hxxps://evil-login[.]example[.]com/office365",
recipients_count=47,
clicked_count=5,
credentials_submitted=2,
emails_purged=47,
passwords_reset=2,
domains_blocked=1,
disposition="True Positive - Credential Phishing Campaign"
| table incident_id, reported_time, sender, subject, url, recipients_count,
clicked_count, credentials_submitted, emails_purged, passwords_reset, disposition
Key Concepts
| Term | Definition |
|---|---|
| SPF (Sender Policy Framework) | DNS TXT record specifying which mail servers are authorized to send on behalf of a domain |
| DKIM | DomainKeys Identified Mail — cryptographic signature proving email content was not altered in transit |
| DMARC | Domain-based Message Authentication, Reporting and Conformance — policy combining SPF and DKIM alignment |
| Credential Harvesting | Phishing technique using fake login pages to capture username/password combinations |
| Business Email Compromise (BEC) | Social engineering attack using compromised or spoofed executive email for financial fraud |
| Message Trace | O365/Exchange log showing email routing, delivery status, and filtering actions for forensic analysis |
Tools & Systems
- Microsoft Defender for Office 365: Email security platform with Safe Links, Safe Attachments, and Threat Explorer for investigation
- URLScan.io: Free URL analysis service capturing screenshots, DOM, cookies, and network requests
- Any.Run: Interactive sandbox for detonating malicious files and URLs with real-time behavior analysis
- Proofpoint TAP: Targeted Attack Protection dashboard showing clicked URLs and delivered threats per user
- PhishTool: Dedicated phishing email analysis platform automating header parsing and IOC extraction
Common Scenarios
- Credential Phishing: Fake O365 login page — check proxy for POST requests, force password resets for submitters
- Macro-Enabled Document: Word doc with VBA macro — sandbox shows PowerShell download cradle, check endpoints for execution
- QR Code Phishing (Quishing): Email contains QR code linking to credential harvester — decode QR, submit URL to sandbox
- Thread Hijacking: Attacker uses compromised mailbox to reply in existing threads — check for impossible travel or new inbox rules
- Voicemail Phishing: Fake voicemail notification with HTML attachment — analyze attachment for redirect chains
Output Format
PHISHING INCIDENT REPORT — PHI-2024-0315
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Reported: 2024-03-15 09:12 UTC by jsmith (Finance)
Sender: attacker@evil-domain[.]com (SPF: FAIL, DKIM: NONE, DMARC: FAIL)
Subject: Urgent: Password Reset Required
Payload: Credential harvesting URL
IOCs:
URL: hxxps://evil-login[.]example[.]com/office365
Domain: evil-login[.]example[.]com (registered 2024-03-14, Namecheap)
IP: 185.234.xx.xx (VT: 12/90 malicious)
Scope:
Recipients: 47 users across Finance and HR departments
Clicked: 5 users visited phishing URL
Submitted: 2 users entered credentials (confirmed via POST in proxy logs)
Containment:
[DONE] 47 emails purged via Compliance Search
[DONE] Domain blocked on proxy and DNS sinkhole
[DONE] 2 user passwords reset, sessions revoked
[DONE] MFA enforced for both compromised accounts
[DONE] Inbox rules audited — no forwarding rules found
Status: RESOLVED — No evidence of lateral movement post-compromise
Frequently asked questions about Investigating Phishing Email Incident
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