AN2038: Analytic 2038
Detects suspicious interactions with security products followed by service crashes, unexpected restarts, driver unloads, telemetry gaps, or tamper-state changes. Correlates exploit precursor behavior with immediate degradation of defensive services and follow-on process execution.
Analyst context for executives and security teams
This analytic matters because degradation of security tools can be an early warning that defensive visibility or prevention is being impaired on Windows systems. For executives and security leaders, the practical question is not just whether an alert exists, but whether the organization can prove when endpoint protection, security drivers, or telemetry pipelines crash, restart unexpectedly, stop reporting, or change tamper state after suspicious interaction.
Executive priority
Prioritize this as a resilience and incident-readiness control validation. If security products can fail silently, leadership may lose confidence in incident timelines, audit evidence, and containment decisions. Ask whether SOC and IR teams can distinguish routine maintenance or product instability from suspicious precursor activity followed by immediate defensive-service degradation and follow-on process execution.
Technical view
For Windows environments, validate correlation logic that links suspicious interaction with security products to near-term service crashes, unexpected restarts, driver unload events, telemetry gaps, tamper-state changes, and subsequent process execution. Because no official detection logic or relationships are supplied, teams should treat this as a detection-engineering pattern requiring local baselining of normal security-product updates, restarts, health checks, and administrative actions.
Likely telemetry
- Windows service control and service state-change events for security products
- Endpoint security product health, tamper-protection, crash, and restart logs
- Driver load and unload telemetry where available
- Process creation telemetry following defensive-service degradation
- Endpoint management or software deployment records for legitimate maintenance context
Detection direction
- Validate time-window correlation between suspicious security-product interaction and immediate degradation signals such as crashes, restarts, driver unloads, tamper-state changes, or reporting gaps.
- Tune against expected software updates, agent upgrades, policy changes, administrator maintenance, and known product instability to reduce false positives.
- Require follow-on context, especially process execution after the degradation event, before escalating to higher severity where appropriate.
- Monitor for blind spots where endpoint agents stop reporting; absence of telemetry should be treated as a signal to investigate, not as proof of safety.
- Document which Windows security tools provide reliable health, tamper, driver, and crash telemetry, because coverage will vary by product and configuration.
Mitigation priorities
- Ensure security-product tamper protection, protected services, and administrative access controls are enabled where supported.
- Maintain independent monitoring of endpoint sensor health and data-ingestion continuity so a disabled or crashed agent is visible outside the affected endpoint.
- Separate legitimate maintenance workflows from emergency investigation paths with change records that SOC teams can quickly verify.
- Harden privileged access used to manage security tooling and review who can stop services, unload drivers, or change policies.
- Exercise IR playbooks for suspected defensive-tool degradation, including host isolation decisions, evidence preservation, and validation using alternate telemetry sources.
Analyst notes and limits
This object is a detection analytic, not a technique, and ATT&CK provides no tactic assignment, no official detection implementation, and no relationship context in the supplied data. The strongest use is as a validation prompt for endpoint security health monitoring and correlation around Windows defensive-service degradation.
The supplied fields do not identify specific products, event IDs, commands, procedures, adversaries, or active exploitation. Local environment baselines and vendor-specific telemetry are required to implement and validate this analytic safely.
Analytic 2038
Detects suspicious interactions with security products followed by service crashes, unexpected restarts, driver unloads, telemetry gaps, or tamper-state changes. Correlates exploit precursor behavior with immediate degradation of defensive services and follow-on process execution.
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 | db89967cf054… |
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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[1]
mitre-attack AN2038Open source URL
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