Definition
Analyzing the execution of a script to detect unauthorized user activity.
How it works
Software installed on the host system hooks into a scripting engine to intercept commands before they are executed and block commands if they are determined to be harmful. Pattern matching is used to identify unauthorized commands or in the case of script files, a hash of the file is compared against hashes of known unauthorized script files.
Considerations
List of known unauthorized script files or regular expression patterns must be kept up to date to ensure detection of new threats.
Implementation perspective
Script Execution Analysis should be treated as a technical defensive capability rather than a product checkbox. In practice, teams should define the protected scope, the conditions under which the technique acts, and the observable evidence that demonstrates the intended behavior. For this technique, likely engineering context includes the relevant system, activity, and evidence sources.
Use the technique to identify suspicious, unauthorized, or abnormal activity through observable evidence and repeatable analysis.
Questions to ask
- Which events, states, or artifacts must be observed for the analysis to work?
- What analytic logic, threshold, comparison, or signature turns observations into a finding?
- How are expected false positives, blind spots, and environmental variations documented?
- Who receives the result, and what action is expected when the technique produces a finding?
Evidence and validation
- Telemetry and data-source configuration records
- Analytic logic, thresholds, signatures, and version history
- Test cases demonstrating expected positive and negative results
- Alert, triage, escalation, and tuning records
Common failure patterns
- Required telemetry is missing, delayed, or transformed in a way that invalidates the analysis.
- The technique produces alerts without an accountable triage and response process.
- Detection coverage is claimed from product deployment without testing the relevant analytic behavior.
This implementation perspective is original Bare Metal Cyber educational content. It does not replace the official D3FEND definition or establish that a specific product implements the technique.
Technique hierarchy
Top-level family
Parent techniques
Direct child techniques
None listed at this level.
Artifacts and ontology entities
These relationships describe how D3FEND connects a defensive technique to artifacts or other ontology entities. They describe graph semantics, not a product certification.
Explicit technique relationships
Authoritative sources
- Open this technique on the official D3FEND website ↗
- Open the official ontology resources ↗
- Detecting script-based malware ↗Crowdstrike Inc · Ion-Alexandru IONESCU; Satoshi Tanda · PatentReference
Bare Metal Cyber is an independent educational publisher and is not affiliated with or endorsed by The MITRE Corporation. MITRE D3FEND™ and the D3FEND logo are trademarks of The MITRE Corporation. MITRE ATT&CK® and ATT&CK® are registered trademarks of The MITRE Corporation. Use of D3FEND source material is subject to the official Terms of Use.