Attack Ent T1657 Financial Theft

MITRE ATT&CK T1657: Financial Theft

When to use this skill

Use this skill when the task involves T1657, Financial Theft, 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 technique.

Technique context

• ATT&CK domain: enterprise
• ATT&CK ID: T1657
• Technique name: Financial Theft
• Type: technique
• ATT&CK URL: https://attack.mitre.org/techniques/T1657
• Tactics: impact
• Platforms: Linux, macOS, Office Suite, SaaS, Windows
• Required permissions: Not specified
• Effective permissions: Not specified
• Defenses bypassed: Not specified

ATT&CK description

Adversaries may steal monetary resources from targets through extortion, social engineering, technical theft, or other methods aimed at their own financial gain at the expense of the availability of these resources for victims. Financial theft is the ultimate objective of several popular campaign types including extortion by ransomware,(Citation: FBI-ransomware) business email compromise (BEC) and fraud,(Citation: FBI-BEC) "pig butchering,"(Citation: wired-pig butchering) bank hacking,(Citation: DOJ-DPRK Heist) and exploiting cryptocurrency networks.(Citation: BBC-Ronin)

Adversaries may Compromise Accounts to conduct unauthorized transfers of funds.(Citation: Internet crime report 2022) In the case of business email compromise or email fraud, an adversary may utilize Impersonation of a trusted entity. Once the social engineering is successful, victims can be deceived into sending money to financial accounts controlled by an adversary.(Citation: FBI-BEC) This creates the potential for multiple victims (i.e., compromised accounts as well as the ultimate monetary loss) in incidents involving financial theft.(Citation: VEC)

Extortion by ransomware may occur, for example, when an adversary demands payment from a victim after Data Encrypted for Impact (Citation: NYT-Colonial) and Exfiltration of data, followed by threatening to leak sensitive data to the public unless payment is made to the adversary.(Citation: Mandiant-leaks) Adversaries may use dedicated leak sites to distribute victim data.(Citation: Crowdstrike-leaks)

Due to the potentially immense business impact of financial theft, an adversary may abuse the possibility of financial theft and seeking monetary gain to divert attention from their true goals such as Data Destruction and business disruption.(Citation: AP-NotPetya)

Agent workflow

1. 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.
2. 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.
3. 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.
4. Produce defensive outputs: prioritize hypotheses, telemetry requirements, detection logic ideas, validation steps, containment guidance, and mitigations.
5. Preserve uncertainty: distinguish confirmed evidence, plausible indicators, assumptions, and gaps. Recommend what to collect next.
6. 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

• User Account Management
• User Training

Known threat context

Use these examples only as contextual leads, not as proof that an observed event is this technique:

• Akira (intrusion-set)
• AppleJeus (intrusion-set)
• BeaverTail (malware)
• Cinnamon Tempest (intrusion-set)
• Contagious Interview (intrusion-set)
• Crocodilus (malware)
• DarkGate (malware)
• Embargo (malware)
• FIN13 (intrusion-set)
• GlassWorm (malware)
• INC Ransom (intrusion-set)
• InvisibleFerret (malware)
• Kimsuky (intrusion-set)
• Malteiro (intrusion-set)
• Medusa Group (intrusion-set)
• Play (intrusion-set)
• RedLine Stealer (malware)
• Scattered Spider (intrusion-set)
• SharePoint ToolShell Exploitation (campaign)
• SilverTerrier (intrusion-set)

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

• Blake Strom, Microsoft Threat Intelligence
• Pawel Partyka, Microsoft Threat Intelligence
• Menachem Goldstein