AN0702: Analytic 0702
Monitor for anomalies in transmitted data streams, including mismatched file integrity checks, API interception, or man-in-the-middle modifications. Detect unexpected use of APIs that handle network I/O where transmitted data integrity could be manipulated.
Analyst context for executives and security teams
This analytic matters because it focuses on whether data in transit is being altered or intercepted before it reaches its intended destination. For a security leader, the value is not just spotting network noise; it is validating that Windows systems handling business communications, application traffic, or sensitive data transfers have enough visibility to detect integrity problems, suspicious network I/O API use, or signs of man-in-the-middle-style modification.
Executive priority
Prioritize this as a resilience and trust-control validation item for Windows environments where transmitted data integrity is business-critical. Leaders should ask whether SOC and incident response teams can prove when data streams are unexpectedly modified, whether integrity-check failures are investigated, and whether monitoring covers both network behavior and endpoint-level API activity. Because ATT&CK provides no tactic mapping, relationships, or full detection logic for this analytic, it should be treated as a coverage-planning prompt rather than a complete detection package.
Technical view
For Windows, validate visibility into anomalies in transmitted data streams, mismatched file integrity checks, possible API interception, and unexpected use of APIs that handle network I/O. SOC teams should determine which applications and services legitimately perform network I/O at scale, baseline expected behavior, and investigate deviations where integrity checks fail or traffic appears modified in transit. Incident responders should preserve endpoint, network, and application evidence when stream integrity anomalies are observed, because the supplied analytic does not define a specific procedure, tool, or adversary behavior chain.
Likely telemetry
- Windows endpoint telemetry showing process and API activity related to network I/O
- Network traffic metadata and session records for transmitted data streams
- Application or service logs that record transfer integrity, checksum, or validation failures
- File integrity or checksum comparison results for transmitted content
- Security telemetry indicating API interception, hooking, or unusual process behavior around network communication
Detection direction
- Confirm that monitoring can correlate endpoint process activity with network traffic behavior on Windows systems.
- Tune for mismatched integrity checks and unexpected data-stream changes, while accounting for benign causes such as application updates, proxies, compression, content inspection, or normal protocol transformations.
- Baseline expected use of network I/O APIs by approved applications so unusual callers or execution contexts can be reviewed.
- Treat the absence of official ATT&CK detection logic as a requirement for local engineering, testing, and false-positive analysis.
- Because no relationships are supplied, do not infer a specific technique chain; use this analytic as a signal to pivot into local host, network, and application evidence.
Mitigation priorities
- Inventory Windows systems and applications where transmitted data integrity is operationally important.
- Ensure integrity validation, logging, and alerting are enabled for critical file transfers, application communications, and services where feasible.
- Harden and monitor systems that can intercept, proxy, inspect, or modify traffic so authorized behavior is distinguishable from suspicious modification.
- Define SOC and IR playbooks for investigating integrity-check failures or suspected network I/O API manipulation.
- Use compliance and audit reviews to confirm that evidence of data integrity monitoring is retained for critical workflows.
Analyst notes and limits
The official object is a detection analytic, not a technique, and its tactics are not specified. Its practical value is in prompting teams to verify Windows telemetry coverage for data-in-transit integrity anomalies and unexpected network I/O API behavior. Local baselines are essential because legitimate middleware, security tools, proxies, and application behavior may create similar signals.
ATT&CK provides no official detection section, no relationship context, no tactic mapping, and only Windows as a platform. This take does not infer active exploitation, attribution, impact, or guaranteed detection coverage. Final detection logic and prioritization require local architecture, application, and telemetry evidence.
Analytic 0702
Monitor for anomalies in transmitted data streams, including mismatched file integrity checks, API interception, or man-in-the-middle modifications. Detect unexpected use of APIs that handle network I/O where transmitted data integrity could be manipulated.
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 | 24c751037d72… |
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 AN0702Open source URL
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