AN1097: Analytic 1097
Monitor for runtime data manipulations by detecting suspicious modification of application binaries, API hooking, or unexpected behavior from processes responsible for rendering or displaying data. Correlate registry edits, process creation, and unexpected binary hash mismatches.
Analyst context for executives and security teams
This analytic matters because it focuses on whether what users see in a Windows application can be manipulated at runtime. For business leaders, the practical risk is loss of trust in displayed data, transaction screens, dashboards, or operator interfaces if binaries are modified, APIs are hooked, or display-related processes behave unexpectedly.
Executive priority
Prioritize this as a validation question for Windows environments where integrity of displayed information supports decisions, operations, audit evidence, or incident response. Leaders should ask whether security teams can prove application binaries have not changed unexpectedly, whether runtime tampering would generate usable alerts, and whether registry, process, and file integrity evidence is retained long enough to support an investigation.
Technical view
For SOC, detection engineering, and IR teams, the supplied ATT&CK description points to monitoring Windows runtime data manipulation indicators: suspicious application binary modification, API hooking, unexpected behavior from processes responsible for rendering or displaying data, registry edits, process creation, and binary hash mismatches. Because no official detection logic or ATT&CK relationships are supplied, teams should treat this as a detection design requirement rather than a ready-to-deploy rule.
Likely telemetry
- Windows process creation events, including parent-child process context
- File modification and file integrity monitoring for application binaries
- Binary hash inventory and hash mismatch evidence
- Registry modification events related to application or runtime behavior
- Endpoint detection telemetry that can identify API hooking or suspicious in-process modification
Detection direction
- Validate that Windows endpoint telemetry covers process creation, registry edits, and binary changes for the applications where displayed data integrity is important.
- Baseline expected hashes for critical application binaries and alert on unexpected mismatches, while accounting for approved software updates.
- Tune detections for unusual behavior by rendering or display-related processes, especially where paired with registry edits or binary modification.
- Avoid relying on a single signal; the official description specifically supports correlation across registry edits, process creation, and hash mismatches.
- Document blind spots where API hooking or runtime manipulation visibility is limited by endpoint tooling, logging configuration, or telemetry retention.
Mitigation priorities
- Maintain controlled software update and change-management processes for Windows application binaries.
- Use file integrity or application control practices where critical displayed data or operator workflows depend on trusted binaries.
- Harden and monitor registry locations relevant to application execution and runtime behavior.
- Ensure incident response procedures include collection of process, registry, file hash, and binary evidence from affected Windows systems.
- Review whether monitoring scope includes the applications and display/rendering components most important to business operations.
Analyst notes and limits
This object is a detection analytic, not a technique, and no tactics or relationship context were supplied. The strongest defensive value is in using it to test whether Windows endpoint monitoring can identify runtime manipulation of displayed data through correlated evidence.
The official detection field is not provided, and no related ATT&CK techniques, software, groups, or campaigns were supplied. Local application architecture, approved update behavior, endpoint tooling, and logging retention are required to turn this into reliable detection coverage.
Analytic 1097
Monitor for runtime data manipulations by detecting suspicious modification of application binaries, API hooking, or unexpected behavior from processes responsible for rendering or displaying data. Correlate registry edits, process creation, and unexpected binary hash mismatches.
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.
All related ATT&CK context
No relationships are available in the current normalized data for this object.
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 | 63df58b41476… |
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 AN1097Open source URL
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