Has emailed victims threatening messages.1 VOID MANTICORE has used phishing as an initial access vector.2
Phishing T1566
- Tactic
- Initial Access
- Platforms
- Identity Provider, Linux, macOS, Office Suite, SaaS, Windows
- Version
- 2.7
- Created
- 02 March 2020
- Last modified
- 12 May 2026
- Contributors
- Philip Winther; Ohad Zaidenberg, @ohad_mz; Liora Itkin; Liran Ravich, CardinalOps; Scott Cook, Capital One
Adversaries may send phishing messages to gain access to victim systems. All forms of phishing are electronically delivered social engineering. Phishing can be targeted, known as spearphishing. In spearphishing, a specific individual, company, or industry will be targeted by the adversary. More generally, adversaries can conduct non-targeted phishing, such as in mass malware spam campaigns.
Phishing MITRE reference T1566
8 groups have been recorded using this technique. Newest first; each entry carries MITRE’s procedure text and a link to the group’s full record. Click a name to filter the rules below.
Has used spearphishing emails to distribute malicious payloads.1
Used spear phishing to gain initial access to victims.1
Has conducted malicious spam (malspam) campaigns to gain access to victim's machines.1
Has used spearphishing to gain initial access and intelligence.12
All 8 groups for this technique · 6 newest in this preview
3 software entries are documented implementing this technique. MITRE files each as a tool or as malware; newest first, then by how many groups carry them.
Campaigns have used spearphishing emails for initial access.1
Has been spread through the use of phishing campaigns including "call back phishing" where victims are lured into calling a number provided through email.123
Has been spread through spear phishing.1
All 3 software entries for this technique
Offense vs defense T1566
Is defensive coverage keeping up with adversary use? Eight counts, each ranked against all 697 ATT&CK techniques. Attack sits left, defense right, so a shape leaning left means adversaries are better documented here than defenders are equipped. Hover any spoke for its percentile and the share of techniques that have more. The timeline below shows when each side arrived.
How it got here
Adversary activity (campaign spans) over cumulative rule output. Each source is plotted independently from zero, so neither line includes the other. Campaign dates are year-granularity.
Phishing detection strategy DET0070
MITRE names one behaviour worth catching for this technique and breaks it into 6 analytics, one per platform. Each carries the log sources it needs and the fields you tune per environment.
Detection Strategy for Phishing across platforms.
AN0188 · Windows
Unusual inbound email activity where attachments or embedded URLs are delivered to users followed by execution of new processes or suspicious document behavior. Detection involves correlating email metadata, file creation, and network activity after a phishing message is received.
Log sources
The data this analytic draws on. You do not need every component — each one you already collect covers part of it. Each links to its ATT&CK record.
| Data component | Name | Channel |
|---|---|---|
| Process CreationDC0032 | WinEventLog:Sysmon | EventCode=1 |
| Application Log ContentDC0038 | m365:unified | Send/Receive: Emails with suspicious sender domains, spoofed headers, or anomalous attachment types |
| File CreationDC0039 | WinEventLog:Sysmon | EventCode=11 |
Tunable fields
MITRE calls these the analytic’s mutable elements: the thresholds and filters you set for your own environment.
| Field | What you tune |
|---|---|
| SuspiciousFileTypes | Attachment types considered high risk (e.g., .exe, .js, .vbs, .scr, macro-enabled docs). |
| AllowedSenders | Whitelist of known trusted senders to reduce false positives. |
AN0189 · Linux
Monitor for malicious payload delivery through phishing where attachments or URLs in email clients (e.g., Thunderbird, mutt) result in unusual file creation or outbound network connections. Focus on correlation between mail logs, file writes, and execution activity.
Log sources
The data this analytic draws on. You do not need every component — each one you already collect covers part of it. Each links to its ATT&CK record.
| Data component | Name | Channel |
|---|---|---|
| Process CreationDC0032 | auditd:SYSCALL | execve: Execution of scripts or binaries sourced from mail directories (/var/mail, ~/Maildir) |
| Application Log ContentDC0038 | Application:Mail | Inbound messages with anomalous headers, spoofed SPF/DKIM failures |
Tunable fields
MITRE calls these the analytic’s mutable elements: the thresholds and filters you set for your own environment.
| Field | What you tune |
|---|---|
| MonitoredMailPaths | System or user directories where emails/attachments are stored. |
| AttachmentHashBaseline | Known good hashes for common business document templates. |
AN0190 · macOS
Detection of phishing through anomalous Mail app activity, such as attachments saved to disk and immediately executed, or Safari/Preview launching URLs and files linked from email messages. Correlate UnifiedLogs events with subsequent process execution.
Log sources
The data this analytic draws on. You do not need every component — each one you already collect covers part of it. Each links to its ATT&CK record.
| Data component | Name | Channel |
|---|---|---|
| Process CreationDC0032 | macos:unifiedlog | Preview.app, Safari.app, or Mail.app spawning new processes outside normal patterns |
| Application Log ContentDC0038 | macos:unifiedlog | Inbound email activity with suspicious domains or mismatched sender information |
Tunable fields
MITRE calls these the analytic’s mutable elements: the thresholds and filters you set for your own environment.
| Field | What you tune |
|---|---|
| SuspiciousDomains | List of domains known for phishing activity or suspicious sender infrastructure. |
| ExecutionDelayWindow | Time threshold between file save and execution considered suspicious. |
AN0191 · Office Suite
Phishing via Office documents containing embedded macros or links that spawn processes. Detection relies on correlating Office application logs with suspicious child process execution and outbound network connections.
Log sources
The data this analytic draws on. You do not need every component — each one you already collect covers part of it. Each links to its ATT&CK record.
| Data component | Name | Channel |
|---|---|---|
| Process CreationDC0032 | WinEventLog:Sysmon | EventCode=1 |
| Application Log ContentDC0038 | m365:unified | FileAccessed: Access of email attachments by Office applications |
Tunable fields
MITRE calls these the analytic’s mutable elements: the thresholds and filters you set for your own environment.
| Field | What you tune |
|---|---|
| ParentProcessList | Parent processes expected to execute child processes (e.g., Office apps). |
| MacroExecutionThreshold | Threshold for number of macros executed before raising alerts. |
AN0192 · Identity Provider
Phishing attempts targeting IdPs often manifest as anomalous login attempts from suspicious email invitations or fake SSO prompts. Detection correlates login flows, MFA bypass attempts, and anomalous geographic patterns following phishing email delivery.
Log sources
The data this analytic draws on. You do not need every component — each one you already collect covers part of it. Each links to its ATT&CK record.
| Data component | Name | Channel |
|---|---|---|
| Logon Session CreationDC0067 | azure:signinlogs | Failed MFA attempts, unusual conditional access triggers, login attempts from unexpected IP ranges |
Tunable fields
MITRE calls these the analytic’s mutable elements: the thresholds and filters you set for your own environment.
| Field | What you tune |
|---|---|
| GeoAnomalyThreshold | Allowed distance/time delta between user sign-ins. |
| MFABypassIndicators | Signals of repeated or anomalous MFA failures linked to phishing campaigns. |
AN0193 · SaaS
Phishing delivered via SaaS services (chat, collaboration platforms) where messages contain malicious URLs or attachments. Detect anomalous link clicks, suspicious file uploads, or token misuse after SaaS-based phishing attempts.
Log sources
The data this analytic draws on. You do not need every component — each one you already collect covers part of it. Each links to its ATT&CK record.
| Data component | Name | Channel |
|---|---|---|
| Application Log ContentDC0038 | saas:collaboration | MessagePosted: Suspicious links or attachment delivery via collaboration tools (Slack, Teams, Zoom) |
Tunable fields
MITRE calls these the analytic’s mutable elements: the thresholds and filters you set for your own environment.
| Field | What you tune |
|---|---|
| MonitoredSaaSApps | Scope of SaaS platforms under phishing monitoring. |
| LinkInspectionPolicy | Threshold for auto-expansion and detonation of URLs sent in SaaS messages. |
Anti-virus can automatically quarantine suspicious files.
Perform audits or scans of systems, permissions, insecure software, insecure configurations, etc. to identify potential weaknesses.
Network intrusion prevention systems and systems designed to scan and remove malicious email attachments or links can be used to block activity.
Determine if certain websites or attachment types (ex: .scr, .exe, .pif, .cpl, etc.) that can be used for phishing are necessary for business operations and consider blocking access if activity cannot be monitored well or if it poses a significant risk.
Use anti-spoofing and email authentication mechanisms to filter messages based on validity checks of the sender domain (using SPF) and integrity of messages (using DKIM). Enabling these mechanisms within an organization (through policies such as DMARC) may enable recipients (intra-org and cross domain) to perform similar message filtering and validation.
Users can be trained to identify social engineering techniques and phishing emails.