MITRE ATT&CK T1070.008: Clear Mailbox Data
When to use this skill
Use this skill when the task involves T1070.008, Clear Mailbox Data, enterprise ATT&CK, TTP mapping, detection engineering, hunting, incident-response enrichment, control validation, or authorized adversary-emulation planning. Treat it as a defensive analysis aid: keep outputs focused on understanding, detecting, mitigating, and safely validating this ATT&CK sub-technique.
Technique context
- ATT&CK domain: enterprise
- ATT&CK ID: T1070.008
- Technique name: Clear Mailbox Data
- Type: sub-technique
- ATT&CK URL: https://attack.mitre.org/techniques/T1070/008
- Tactics: stealth
- Platforms: Linux, macOS, Office Suite, Windows
- Required permissions: Not specified
- Effective permissions: Not specified
- Defenses bypassed: Not specified
ATT&CK description
Adversaries may modify mail and mail application data to remove evidence of their activity. Email applications allow users and other programs to export and delete mailbox data via command line tools or use of APIs. Mail application data can be emails, email metadata, or logs generated by the application or operating system, such as export requests.
Adversaries may manipulate emails and mailbox data to remove logs, artifacts, and metadata, such as evidence of Phishing/Internal Spearphishing, Email Collection, Mail Protocols for command and control, or email-based exfiltration such as Exfiltration Over Alternative Protocol. For example, to remove evidence on Exchange servers adversaries have used the ExchangePowerShell PowerShell module, including Remove-MailboxExportRequest to remove evidence of mailbox exports.(Citation: Volexity SolarWinds)(Citation: ExchangePowerShell Module) On Linux and macOS, adversaries may also delete emails through a command line utility called mail or use AppleScript to interact with APIs on macOS.(Citation: Cybereason Cobalt Kitty 2017)(Citation: mailx man page)
Adversaries may also remove emails and metadata/headers indicative of spam or suspicious activity (for example, through the use of organization-wide transport rules) to reduce the likelihood of malicious emails being detected by security products.(Citation: Microsoft OAuth Spam 2022)
Agent workflow
- Clarify scope: identify the system, asset class, log sources, cloud or endpoint platform, and whether the user wants triage, detection, coverage assessment, or safe emulation planning.
- Load bundled resources as needed: use
references/technique-profile.json for structured metadata, references/detection-and-mitigation.md for triage and telemetry guidance, references/known-threat-context.md for ATT&CK relationship context, and templates/ for repeatable outputs.
- Map observations to ATT&CK: compare the user's evidence to the ATT&CK description, tactics, platforms, and known procedure patterns before asserting a match.
- Produce defensive outputs: prioritize hypotheses, telemetry requirements, detection logic ideas, validation steps, containment guidance, and mitigations.
- Preserve uncertainty: distinguish confirmed evidence, plausible indicators, assumptions, and gaps. Recommend what to collect next.
- Stay safe: do not provide malware, credential theft, persistence, evasion, destructive automation, or unauthorized exploitation instructions. For adversary emulation, keep steps bounded to approved lab or control-validation contexts and omit operational abuse details.
Bundled resources
references/technique-profile.json: machine-readable ATT&CK metadata for this technique.
references/detection-and-mitigation.md: detection notes, telemetry checklist, triage questions, mitigation candidates, and false-positive considerations.
references/known-threat-context.md: ATT&CK relationship context with attribution cautions.
templates/detection-brief.md: detection engineering brief template.
templates/hunt-plan.md: threat hunt plan template.
templates/incident-response-note.md: incident response note template.
templates/coverage-assessment.md: ATT&CK coverage assessment template.
scripts/render_brief.py: local helper that renders a Markdown defensive brief from technique-profile.json.
assets/output-schema.json: JSON schema for structured technique analysis outputs.
To generate a quick brief, run python scripts/render_brief.py --output brief.md from inside this skill directory, or adapt the templates directly.
Detection guidance
No ATT&CK detection guidance was present in the source STIX object.
Useful telemetry and data sources
- Not specified in the STIX object.
Mitigations to consider
- Audit
- Remote Data Storage
- Restrict File and Directory Permissions
Known threat context
Use these examples only as contextual leads, not as proof that an observed event is this technique:
- APT42 (intrusion-set)
- Goopy (malware)
- LunarMail (malware)
- Scattered Spider (intrusion-set)
- SolarWinds Compromise (campaign)
Recommended output pattern
When responding with this skill, structure the answer as:
- Assessment: whether the evidence supports this ATT&CK mapping and why.
- Evidence: specific indicators, logs, behaviors, and assumptions.
- Detection: telemetry sources, analytic logic, and tuning considerations.
- Response: containment, eradication, recovery, and validation actions.
- Coverage gaps: missing logs, sensors, controls, or environmental details.
- References: include the ATT&CK URL and any user-provided evidence references.
ATT&CK contributors
- Liran Ravich, CardinalOps
1---2name: attack-ent-t1070-008-clear-mailbox-data3description: Analyze MITRE ATT&CK T1070.008 Clear Mailbox Data in the enterprise matrix. Use for TTP triage, detection engineering, hunting, defensive emulation planning, mitigations, incident response mapping, ATT&CK coverage, or questions mentioning T1070.008, Clear Mailbox Data, or enterprise ATT&CK. Adversaries may modify mail and mail application data to remove evidence of their activity.4license: MITRE ATT&CK Terms of Use apply to ATT&CK-derived content. See h5---67# MITRE ATT&CK T1070.008: Clear Mailbox Data89## When to use this skill1011Use this skill when the task involves T1070.008, Clear Mailbox Data, enterprise ATT&CK, TTP mapping, detection engineering, hunting, incident-response enrichment, control validation, or authorized adversary-emulation planning. Treat it as a defensive analysis aid: keep outputs focused on understanding, detecting, mitigating, and safely validating this ATT&CK sub-technique.1213## Technique context1415- ATT&CK domain: enterprise16- ATT&CK ID: T1070.00817- Technique name: Clear Mailbox Data18- Type: sub-technique19- ATT&CK URL: https://attack.mitre.org/techniques/T1070/00820- Tactics: stealth21- Platforms: Linux, macOS, Office Suite, Windows22- Required permissions: Not specified23- Effective permissions: Not specified24- Defenses bypassed: Not specified2526## ATT&CK description2728Adversaries may modify mail and mail application data to remove evidence of their activity. Email applications allow users and other programs to export and delete mailbox data via command line tools or use of APIs. Mail application data can be emails, email metadata, or logs generated by the application or operating system, such as export requests. 2930Adversaries may manipulate emails and mailbox data to remove logs, artifacts, and metadata, such as evidence of [Phishing](https://attack.mitre.org/techniques/T1566)/[Internal Spearphishing](https://attack.mitre.org/techniques/T1534), [Email Collection](https://attack.mitre.org/techniques/T1114), [Mail Protocols](https://attack.mitre.org/techniques/T1071/003) for command and control, or email-based exfiltration such as [Exfiltration Over Alternative Protocol](https://attack.mitre.org/techniques/T1048). For example, to remove evidence on Exchange servers adversaries have used the <code>ExchangePowerShell</code> [PowerShell](https://attack.mitre.org/techniques/T1059/001) module, including <code>Remove-MailboxExportRequest</code> to remove evidence of mailbox exports.(Citation: Volexity SolarWinds)(Citation: ExchangePowerShell Module) On Linux and macOS, adversaries may also delete emails through a command line utility called <code>mail</code> or use [AppleScript](https://attack.mitre.org/techniques/T1059/002) to interact with APIs on macOS.(Citation: Cybereason Cobalt Kitty 2017)(Citation: mailx man page)3132Adversaries may also remove emails and metadata/headers indicative of spam or suspicious activity (for example, through the use of organization-wide transport rules) to reduce the likelihood of malicious emails being detected by security products.(Citation: Microsoft OAuth Spam 2022)3334## Agent workflow35361. Clarify scope: identify the system, asset class, log sources, cloud or endpoint platform, and whether the user wants triage, detection, coverage assessment, or safe emulation planning.372. Load bundled resources as needed: use `references/technique-profile.json` for structured metadata, `references/detection-and-mitigation.md` for triage and telemetry guidance, `references/known-threat-context.md` for ATT&CK relationship context, and `templates/` for repeatable outputs.383. Map observations to ATT&CK: compare the user's evidence to the ATT&CK description, tactics, platforms, and known procedure patterns before asserting a match.394. Produce defensive outputs: prioritize hypotheses, telemetry requirements, detection logic ideas, validation steps, containment guidance, and mitigations.405. Preserve uncertainty: distinguish confirmed evidence, plausible indicators, assumptions, and gaps. Recommend what to collect next.416. Stay safe: do not provide malware, credential theft, persistence, evasion, destructive automation, or unauthorized exploitation instructions. For adversary emulation, keep steps bounded to approved lab or control-validation contexts and omit operational abuse details.4243## Bundled resources4445- `references/technique-profile.json`: machine-readable ATT&CK metadata for this technique.46- `references/detection-and-mitigation.md`: detection notes, telemetry checklist, triage questions, mitigation candidates, and false-positive considerations.47- `references/known-threat-context.md`: ATT&CK relationship context with attribution cautions.48- `templates/detection-brief.md`: detection engineering brief template.49- `templates/hunt-plan.md`: threat hunt plan template.50- `templates/incident-response-note.md`: incident response note template.51- `templates/coverage-assessment.md`: ATT&CK coverage assessment template.52- `scripts/render_brief.py`: local helper that renders a Markdown defensive brief from `technique-profile.json`.53- `assets/output-schema.json`: JSON schema for structured technique analysis outputs.5455To generate a quick brief, run `python scripts/render_brief.py --output brief.md` from inside this skill directory, or adapt the templates directly.5657## Detection guidance5859No ATT&CK detection guidance was present in the source STIX object.6061## Useful telemetry and data sources6263- Not specified in the STIX object.6465## Mitigations to consider6667- Audit68- Remote Data Storage69- Restrict File and Directory Permissions7071## Known threat context7273Use these examples only as contextual leads, not as proof that an observed event is this technique:7475- APT42 (intrusion-set)76- Goopy (malware)77- LunarMail (malware)78- Scattered Spider (intrusion-set)79- SolarWinds Compromise (campaign)8081## Recommended output pattern8283When responding with this skill, structure the answer as:8485- Assessment: whether the evidence supports this ATT&CK mapping and why.86- Evidence: specific indicators, logs, behaviors, and assumptions.87- Detection: telemetry sources, analytic logic, and tuning considerations.88- Response: containment, eradication, recovery, and validation actions.89- Coverage gaps: missing logs, sensors, controls, or environmental details.90- References: include the ATT&CK URL and any user-provided evidence references.9192## ATT&CK contributors9394- Liran Ravich, CardinalOps