Extract DPAPI-protected secrets such as credentials and browser data offline and online.
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Plan, run, and measure an adversary engagement operation using the MITRE Engage framework so that deployed deception is driven by strategy instead of deployed ad hoc. Covers the Engage Matrix (Prepare, Expose, Affect, Elicit, Understand), the 10-Step Operational Process, mapping engagement Activities to the ATT&CK techniques they expose, and defining measurable Goals and Operational Objectives. Use when a team has honeypots, honeytokens, or canary tokens but no coordinating strategy, when leadership asks "should we engage attackers and how", when building a deception/denial program, when writing an adversary engagement operation plan, or when deciding which deception Activities to deploy against a specific threat actor. Keywords: MITRE Engage, adversary engagement, cyber deception strategy, denial and deception, Engage Matrix, EAC, EGO, Expose Affect Elicit, deception program, honeypot strategy, engagement operation.
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This skill is the strategy and operations layer that sits above tactical deployment skills (honeypot, honeytoken, canary-token, and decoy-file deployment). Use those skills to implement the Activities this skill selects and sequences.
Engage operations follow the 10-Step Operational Process. The matrix is linear to read but cyclical to run — you continuously realign Activities toward your Goals as the adversary reacts.
Decide where denial, deception, and adversary engagement fit in the existing cyber strategy. The Prepare goal (a strategic bookend, alongside Understand) defines the inputs to the operation. Document the strategic goal in plain language, e.g. "reduce dwell time of insider threats around the source-code repository" or "generate first-party CTI on the actor targeting our VPN."
Select from the three Engagement Goals. Goals set direction; Operational Objectives take measurable steps in that direction.
| Engagement Goal (EGO) | What it does | Example Operational Objective |
|---|---|---|
| Expose | Reveal adversary presence with high-fidelity, low-false-positive alerts | "Alert within 5 minutes of any touch on a decoy credential" |
| Affect | Negatively change the adversary's cost-value calculation (defender network only) | "Redirect the adversary away from 3 unpatchable legacy hosts" |
| Elicit | Observe the adversary to learn TTPs and produce CTI | "Obtain a second-stage malware sample" or "identify ≥10 new indicators" |
Write objectives as falsifiable, time-bound statements. A goal without an objective is unmeasurable.
For each Goal, pick the Engagement Approaches (EAP) that fit the adversary you modeled:
For each technique your target adversary uses, find the Engage Activity that exposes the weakness that technique creates. Example mappings:
| Adversary technique (ATT&CK) | Weakness exposed | Engage Activity (EAC) |
|---|---|---|
| T1078 Valid Accounts | Must test credentials | Decoy Credentials, Lures |
| T1083 File & Directory Discovery | Must enumerate files | Decoy Content, Pocket Litter |
| T1046 Network Service Discovery | Must scan the network | Network Diversity, Decoy Systems |
| T1021 Remote Services | Must move laterally | Decoy Systems, Network Manipulation |
| T1552 Unsecured Credentials | Harvests secrets | Decoy Credentials, Artifact Diversity |
Pull the authoritative Activity list and IDs from the live matrix; Engage IDs use the prefixes SGO/EGO (Goals), SAP/EAP (Approaches), and SAC/EAC (Activities).
Decide realism and isolation. Choose between standalone, connected, or integrated decoy environments (see D3FEND honeynet types in references/standards.md). Populate it with diverse, believable artifacts — Persona Creation, Pocket Litter, Artifact Diversity, Application Diversity — so the environment survives adversary scrutiny.
Document, before deployment: what the adversary is allowed to reach, the maximum blast radius, the trigger for tear-down or hand-off to IR, evidence preservation steps, and who has authority to escalate. Affect Activities are limited to the defender's own network — never act on infrastructure you do not own.
Implement the selected Activities using the tactical deployment skills (honeypots, honeytokens, canary tokens, decoy files). Instrument every artifact so a touch produces telemetry routed to the SOC.
Run the operation. Triage Expose alerts as high-fidelity (a touch on a decoy almost always means malicious or unauthorized activity). Feed observations back into Approach selection — realign Affect/Elicit Activities as the adversary behaves.
The Understand goal (the output bookend) turns observations into decisions: new detections for production, CTI for sharing, and validated or invalidated threat-model assumptions.
Score the operation against the Operational Objectives from Step 2. Capture what intel was gained, what Activities triggered, dwell time, and lessons learned. Update the threat model and feed the next cycle.
| Concept | Definition |
|---|---|
| Goal (SGO/EGO) | High-level outcome of the operation. Prepare/Understand are strategic bookends; Expose/Affect/Elicit are the engagement goals. |
| Approach (SAP/EAP) | The method used to make progress toward a Goal (e.g., Detection, Direction, Motivation). |
| Activity (SAC/EAC) | The concrete denial/deception action deployed (e.g., Decoy Credentials, Network Manipulation). |
| Operate | The default matrix view = Expose + Affect + Elicit, the three engagement goals. |
| Operational Objective | A measurable, time-bound target that operationalizes a Goal. |
| Gating Criteria | Pre-defined boundaries and triggers that constrain the operation's blast radius. |
| High-fidelity alert | An alert from a decoy that legitimate users have no reason to touch, yielding near-zero false positives. |
| Denial vs. Deception | Denial blocks the adversary's access to real information; deception feeds plausible false information. |
Deceive tactic provides defensive countermeasure naming (Decoy Environment, Decoy Object, honeynet types) that complements Engage.Produce an Adversary Engagement Operation Plan using assets/template.md, containing:
Use scripts/process.py to validate technique→Activity coverage and generate the operation-plan skeleton from a threat-model input.
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概要と使いどころ
Extract DPAPI-protected secrets such as credentials and browser data offline and online.
日本語の概要は準備中です。原文の説明を表示しています。
Audit, detect, and remediate Shadow Credentials misconfigurations on msDS-KeyCredentialLink in Active Directory. Focuses on access-controls, monitoring Event ID 5136, and credential-management hygiene.
日本語の概要は準備中です。原文の説明を表示しています。
Prepare a defense-contractor environment for CMMC Level 2 certification: scope CUI and FCI, implement the 110 NIST SP 800-171 Rev 2 security requirements across 14 families, compute the SPRS score with the DoD Assessment Methodology, manage a compliant POA&M, and ready the organization for a C3PAO assessment. Use when an organization handles Controlled Unclassified Information (CUI) under a DoD contract, when a contract carries DFARS clause 252.204-7012/7019/7020/7021, when preparing for or responding to a CMMC assessment, when computing or improving an SPRS score, when building a System Security Plan or POA&M for 800-171, or when scoping which systems are in the CUI boundary. Keywords: CMMC, CMMC Level 2, NIST 800-171, SP 800-171 Rev 2, CUI, FCI, SPRS, DFARS 7012, C3PAO, POA&M, System Security Plan, DoD Assessment Methodology, 110 controls, defense industrial base, DIB, FedRAMP equivalency.
日本語の概要は準備中です。原文の説明を表示しています。
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
日本語の概要は準備中です。原文の説明を表示しています。
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
日本語の概要は準備中です。原文の説明を表示しています。