DET0495: Detection Strategy for Financial Theft
DET0495 is a detection strategy object for ATT&CK technique T1657, Financial Theft. Its business significance is that the behavior it is meant to detect re...
Analyst context for executives and security teams
DET0495 is a detection strategy object for ATT&CK technique T1657, Financial Theft. Its business significance is that the behavior it is meant to detect represents direct loss of monetary resources through extortion, social engineering, technical theft, or related fraud-oriented activity. For leaders, this is less about a single malware behavior and more about whether the organization can recognize financially motivated impact across SaaS, Office Suite, Linux, and macOS environments before losses, payment decisions, fraud workflows, or business disruption escalate.
Executive priority
Treat this as a resilience and governance checkpoint for financial-loss scenarios. Executives should ask whether SOC, fraud, identity, legal, finance, and incident response teams have shared decision paths for suspected extortion, BEC/fraud, bank-related theft, or other financially motivated impact. Because the ATT&CK object provides no official detection logic, priority should be on validating whether existing controls produce defensible evidence for investigations, audit/compliance review, and time-sensitive executive decisions.
Technical view
This detection strategy is linked to T1657 Financial Theft under the Impact tactic, with related platforms listed as Linux, macOS, Office Suite, and SaaS. SOC and detection engineering teams should map existing detections and playbooks to financially motivated impact indicators rather than relying on this object for specific analytics. Validate telemetry from identity, SaaS, email/Office Suite, endpoint, and financial workflow systems; then test whether alerts correlate activity that may indicate extortion, social engineering-enabled theft, or technical theft. IR teams should confirm escalation paths preserve evidence and involve finance, legal, and business owners early.
Likely telemetry
- SaaS audit logs and administrative activity records
- Office Suite audit logs, mailbox activity, forwarding or delegation changes, and collaboration events
- Identity provider sign-in, session, MFA, and privilege-change logs
- Endpoint telemetry from Linux and macOS systems where relevant to financially motivated activity
- Email security and message trace data supporting BEC or fraud investigations
Detection direction
- Inventory which existing detections explicitly support T1657 Financial Theft scenarios, since the ATT&CK detection strategy does not provide official detection text.
- Correlate identity, SaaS, Office Suite, endpoint, and financial workflow telemetry instead of treating financial theft as a single-platform alerting problem.
- Tune for context around suspicious account access, mailbox or SaaS changes, unusual financial workflow changes, and impact-oriented activity, while accounting for legitimate finance, admin, and support operations.
- Validate blind spots in SaaS and Office Suite audit retention, privileged account monitoring, mailbox activity visibility, and endpoint coverage on Linux and macOS.
- Use relationship context to connect detection outcomes to Impact-focused incident handling, including fraud containment, extortion response, and business decision support.
Mitigation priorities
- Establish executive-approved playbooks for suspected financial theft, including SOC, IR, finance, legal, identity, and business-owner roles.
- Prioritize identity and SaaS control validation, including strong authentication, privileged access review, and audit log retention, where those systems support financial workflows.
- Harden and monitor Office Suite and SaaS environments used for communications, approvals, and account or payment changes.
- Ensure Linux and macOS endpoint coverage is sufficient where those platforms support finance, administrative, or sensitive business operations.
- Regularly test incident response evidence collection and escalation procedures for extortion, BEC/fraud, and technical theft scenarios.
Analyst notes and limits
The object is a MITRE ATT&CK detection strategy, external ID DET0495, for Financial Theft. The supplied object has no official description, no official detection text, no tactics, and no platforms of its own; the practical framing above is derived from its relationship to T1657 Financial Theft and that related technique’s supplied platforms, tactic, and description.
Coverage, exposure, active exploitation, attribution, and detection effectiveness cannot be concluded from the supplied ATT&CK fields. Local environment architecture, logging configuration, financial processes, SaaS/Office Suite usage, and incident response maturity are required to determine actual risk and control gaps.
Detection Strategy for Financial Theft
No official description is available in the imported ATT&CK source object.
How security teams should use this page
Treat this object as behavior context, not an attribution claim. Validate the related groups, software, data sources, and mitigations against official ATT&CK relationships and your own telemetry before making control-coverage decisions.
Techniques used
This mirrors the MITRE pattern of making group, software, campaign, and technique relationships scannable. Relationship notes come from mirrored ATT&CK relationship text when available.
| Domain | ID | Name | Relationship / procedure |
|---|---|---|---|
| Enterprise | T1657 | Financial Theft | This object detects Financial Theft. |
All related ATT&CK context
Object version and sync metadata
The fields below describe the current mirrored snapshot. When Glexia retains multiple ATT&CK source imports, you can open the table to compare the same object across releases (hashes and MITRE timestamps). For MITRE’s own release notes and roadmap, see ATT&CK resources — Updates .
Imported snapshots across ATT&CK releases (1)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.1 | 1.0 | Current bundle | 9cf9998a3513… |
Mirrored ATT&CK source object
The raw object is retained through the mirrored ATT&CK source bundle and object hash. The raw endpoint returns the exact object from the mirrored bundle when available.
External references and citations
MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.
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mitre-attack DET0495Open source URL
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