MITRE ATT&CK T1020.001: Traffic Duplication
When to use this skill
Use this skill when the task involves T1020.001, Traffic Duplication, 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: T1020.001
- Technique name: Traffic Duplication
- Type: sub-technique
- ATT&CK URL: https://attack.mitre.org/techniques/T1020/001
- Tactics: exfiltration
- Platforms: Network Devices, IaaS
- Required permissions: Not specified
- Effective permissions: Not specified
- Defenses bypassed: Not specified
ATT&CK description
Adversaries may leverage traffic mirroring in order to automate data exfiltration over compromised infrastructure. Traffic mirroring is a native feature for some devices, often used for network analysis. For example, devices may be configured to forward network traffic to one or more destinations for analysis by a network analyzer or other monitoring device. (Citation: Cisco Traffic Mirroring)(Citation: Juniper Traffic Mirroring)
Adversaries may abuse traffic mirroring to mirror or redirect network traffic through other infrastructure they control. Malicious modifications to network devices to enable traffic redirection may be possible through ROMMONkit or Patch System Image.(Citation: US-CERT-TA18-106A)(Citation: Cisco Blog Legacy Device Attacks)
Many cloud-based environments also support traffic mirroring. For example, AWS Traffic Mirroring, GCP Packet Mirroring, and Azure vTap allow users to define specified instances to collect traffic from and specified targets to send collected traffic to.(Citation: AWS Traffic Mirroring)(Citation: GCP Packet Mirroring)(Citation: Azure Virtual Network TAP)
Adversaries may use traffic duplication in conjunction with Network Sniffing, Input Capture, or Adversary-in-the-Middle depending on the goals and objectives of the adversary.
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
- Data Loss Prevention
- Encrypt Sensitive Information
- User Account Management
Known threat context
Use these examples only as contextual leads, not as proof that an observed event is this technique:
- No group or software uses relationships were included for this technique in the source STIX bundle.
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.
1---2name: attack-ent-t1020-001-traffic-duplication3description: Analyze MITRE ATT&CK T1020.001 Traffic Duplication in the enterprise matrix. Use for TTP triage, detection engineering, hunting, defensive emulation planning, mitigations, incident response mapping, ATT&CK coverage, or questions mentioning T1020.001, Traffic Duplication, or enterprise ATT&CK. Adversaries may leverage traffic mirroring in order to automate data exfiltration over compromised infrastructure.4license: MITRE ATT&CK Terms of Use apply to ATT&CK-derived content. See h5---67# MITRE ATT&CK T1020.001: Traffic Duplication89## When to use this skill1011Use this skill when the task involves T1020.001, Traffic Duplication, 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: T1020.00117- Technique name: Traffic Duplication18- Type: sub-technique19- ATT&CK URL: https://attack.mitre.org/techniques/T1020/00120- Tactics: exfiltration21- Platforms: Network Devices, IaaS22- Required permissions: Not specified23- Effective permissions: Not specified24- Defenses bypassed: Not specified2526## ATT&CK description2728Adversaries may leverage traffic mirroring in order to automate data exfiltration over compromised infrastructure. Traffic mirroring is a native feature for some devices, often used for network analysis. For example, devices may be configured to forward network traffic to one or more destinations for analysis by a network analyzer or other monitoring device. (Citation: Cisco Traffic Mirroring)(Citation: Juniper Traffic Mirroring)2930Adversaries may abuse traffic mirroring to mirror or redirect network traffic through other infrastructure they control. Malicious modifications to network devices to enable traffic redirection may be possible through [ROMMONkit](https://attack.mitre.org/techniques/T1542/004) or [Patch System Image](https://attack.mitre.org/techniques/T1601/001).(Citation: US-CERT-TA18-106A)(Citation: Cisco Blog Legacy Device Attacks)3132Many cloud-based environments also support traffic mirroring. For example, AWS Traffic Mirroring, GCP Packet Mirroring, and Azure vTap allow users to define specified instances to collect traffic from and specified targets to send collected traffic to.(Citation: AWS Traffic Mirroring)(Citation: GCP Packet Mirroring)(Citation: Azure Virtual Network TAP)3334Adversaries may use traffic duplication in conjunction with [Network Sniffing](https://attack.mitre.org/techniques/T1040), [Input Capture](https://attack.mitre.org/techniques/T1056), or [Adversary-in-the-Middle](https://attack.mitre.org/techniques/T1557) depending on the goals and objectives of the adversary.3536## Agent workflow37381. 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.392. 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.403. 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.414. Produce defensive outputs: prioritize hypotheses, telemetry requirements, detection logic ideas, validation steps, containment guidance, and mitigations.425. Preserve uncertainty: distinguish confirmed evidence, plausible indicators, assumptions, and gaps. Recommend what to collect next.436. 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.4445## Bundled resources4647- `references/technique-profile.json`: machine-readable ATT&CK metadata for this technique.48- `references/detection-and-mitigation.md`: detection notes, telemetry checklist, triage questions, mitigation candidates, and false-positive considerations.49- `references/known-threat-context.md`: ATT&CK relationship context with attribution cautions.50- `templates/detection-brief.md`: detection engineering brief template.51- `templates/hunt-plan.md`: threat hunt plan template.52- `templates/incident-response-note.md`: incident response note template.53- `templates/coverage-assessment.md`: ATT&CK coverage assessment template.54- `scripts/render_brief.py`: local helper that renders a Markdown defensive brief from `technique-profile.json`.55- `assets/output-schema.json`: JSON schema for structured technique analysis outputs.5657To generate a quick brief, run `python scripts/render_brief.py --output brief.md` from inside this skill directory, or adapt the templates directly.5859## Detection guidance6061No ATT&CK detection guidance was present in the source STIX object.6263## Useful telemetry and data sources6465- Not specified in the STIX object.6667## Mitigations to consider6869- Data Loss Prevention70- Encrypt Sensitive Information71- User Account Management7273## Known threat context7475Use these examples only as contextual leads, not as proof that an observed event is this technique:7677- No group or software uses relationships were included for this technique in the source STIX bundle.7879## Recommended output pattern8081When responding with this skill, structure the answer as:8283- Assessment: whether the evidence supports this ATT&CK mapping and why.84- Evidence: specific indicators, logs, behaviors, and assumptions.85- Detection: telemetry sources, analytic logic, and tuning considerations.86- Response: containment, eradication, recovery, and validation actions.87- Coverage gaps: missing logs, sensors, controls, or environmental details.88- References: include the ATT&CK URL and any user-provided evidence references.