Building Phishing Reporting Button WorkflowSAFE
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·
Overview
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·
6c59587be632OBSERVED · 2026-10-07What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: building-phishing-reporting-button-workflow
description: Implement a phishing report button (Microsoft 365 built-in Report button
or third-party like KnowBe4/Cofense) in email clients with a SOAR-driven automated
triage workflow that classifies reported emails, extracts IOCs, takes remediation
actions, and gives feedback to reporters. Use when deploying user-reported phishing
intake or automating triage of the resulting reporting mailbox.
domain: cybersecurity
subdomain: phishing-defense
tags:
- phishing-reporting
- email-security
- incident-response
- security-awareness
- outlook
- microsoft-365
- soar
mitre_attack:
- T1566.001
- T1566.002
- T1598.003
- T1204.001
- T1534
mitre_f3:
version: '1.1'
tactics:
- reconnaissance
- resource-development
- initial-access
- stealth
techniques:
- id: T1598
name: Phishing for Information
tactic: reconnaissance
source: attack
- id: T1660
name: Phishing
tactic: initial-access
source: attack
- id: T1672
name: Email Spoofing
tactic: stealth
source: attack
- id: F1020.002
name: 'Create Fake Materials: Fake Website'
tactic: resource-development
source: f3
version: '1.0'
author: mahipal
license: Apache-2.0
nist_csf:
- PR.AT-01
- DE.CM-09
- RS.CO-02
- DE.AE-02
---
# Building Phishing Reporting Button Workflow
## Overview
A phishing reporting button empowers users to flag suspicious emails directly from their email client, creating a critical feedback loop between end users and the security operations center. Microsoft's built-in Report button is now the recommended approach, replacing the deprecated Report Message and Report Phishing add-ins. When combined with automated triage using SOAR platforms, reported emails can be classified, IOCs extracted, and remediation actions taken within minutes. Organizations with effective phishing reporting programs see 70%+ report rates in phishing simulations.
## When to Use
- When deploying or configuring building phishing reporting button workflow capabilities in your environment
- When establishing security controls aligned to compliance requirements
- When building or improving security architecture for this domain
- When conducting security assessments that require this implementation
## Prerequisites
- Microsoft 365 or Google Workspace with administrative access
- SOAR platform or automation capability (Microsoft Sentinel, Splunk SOAR, Cortex XSOAR)
- Dedicated reporting mailbox for phishing submissions
- Email security gateway with message retraction capability
- Security awareness training platform for feedback loop
## Workflow
### Step 1: Deploy Phishing Report Button
- Enable Microsoft built-in Report button via Security & Compliance Center
- Configure user reported settings: route to reporting mailbox and Microsoft
- For third-party: deploy KnowBe4 Phish Alert Button or Cofense Reporter
- Verify button appears in Outlook desktop, web, and mobile clients
- Configure report options: Report Phishing, Report Junk, Report Not Junk
### Step 2: Build Automated Triage Pipeline
- Configure reporting mailbox monitored by SOAR platform
- Auto-extract IOCs from reported emails: URLs, attachments, sender info, headers
- Submit URLs to VirusTotal, URLScan.io for reputation check
- Submit attachments to sandbox for dynamic analysis
- Check sender against known threat intelligence feeds
- Auto-classify: confirmed phishing, spam, simulation, legitimate
### Step 3: Implement Response Actions
- Confirmed phishing: auto-retract from all inboxes, block sender domain
- Confirmed spam: move to junk for all recipients
- Simulation email: mark as correctly reported, credit user
- Legitimate email: return to inbox, notify reporter
- Generate IOC report for threat intelligence team
### Step 4: Create Feedback Loop
- Send automated thank-you response to reporter within 5 minutes
- Include classification result when analysis completes
- Track reporter accuracy and engagement metrics
- Recognize top reporters in monthly security newsletter
- Feed reporting metrics into security awareness training program
### Step 5: Measure and Optimize
- Track mean time to triage (target: under 10 minutes automated)
- Monitor report volume trends and false positive rates
- Measure user reporting rate in phishing simulations
- Report on confirmed threats caught by user reports vs. gateway
- Optimize automation rules based on classification accuracy
## Tools & Resources
- **Microsoft Report Button**: Built-in Outlook phishing reporting
- **Cofense Reporter + Triage**: Enterprise phishing reporting and automated analysis
- **KnowBe4 Phish Alert Button**: Integrated reporting with simulation platform
- **Microsoft Sentinel**: SOAR automation for triage workflow
- **Proofpoint CLEAR**: Closed-loop email analysis and response
## Validation
- Report button visible and functional across all Outlook platforms
- Reported email arrives in dedicated mailbox within 60 seconds
- Automated triage classifies test phishing email correctly
- Auto-retraction removes confirmed phishing from all inboxes
- Reporter receives feedback notification with classification
- Metrics dashboard shows report volume and accuracy trendsTrust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- declared (2 observation(s))
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
6c59587be632full audit observations/trust-audit/skill/mukul975__building-phishing-reporting-button-workflow.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-07 | 6c59587be632 | SAFE | B | 89 | first audit |
Questions
What does the Building Phishing Reporting Button Workflow skill do?
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·
Is Building Phishing Reporting Button Workflow safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Building Phishing Reporting Button Workflow access on my machine?
The audit observed that it reaches the network. Each of those is consistent with what it says it does. Secrets in the source: none found.
How current is this page?
The grade is for one exact copy of the source (6c59587be632), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.