AN0586: Analytic 0586
Adversary launches high-entropy process or malformed app bundle causing repeated application crashes and system slowdowns.
Analyst context for executives and security teams
This analytic points to a macOS condition where unusual high-entropy process names or malformed application bundles are associated with repeated application crashes and system slowdowns. For leaders, the value is not attribution; it is recognizing that crash storms and degraded endpoints can be security-relevant signals, not just IT stability issues.
Executive priority
Prioritize this as a macOS resilience and SOC visibility question: can the organization distinguish ordinary application instability from suspicious process or bundle behavior that disrupts users and may require incident response? It supports decisions around endpoint telemetry retention, macOS fleet monitoring, help desk-to-SOC escalation, and evidence needed to show that endpoint degradation is investigated consistently.
Technical view
For SOC and IR teams, validate whether macOS telemetry can correlate repeated crash events with process execution details and application bundle characteristics. Because ATT&CK provides no tactic, relationship context, or official detection logic for this analytic, teams should avoid overfitting and instead build a triage workflow around repeated crashes, abnormal or high-entropy process identifiers, malformed bundle metadata, and endpoint slowdown reports.
Likely telemetry
- macOS crash reports and diagnostic logs
- macOS Unified Log entries related to application crashes and process failures
- Endpoint process execution telemetry for macOS
- Application bundle metadata, signing status, and path information
- Endpoint performance or stability signals such as repeated hangs, restarts, or user-reported slowdowns
Detection direction
- Validate that repeated macOS application crashes are centrally collected and searchable, not only stored locally on endpoints.
- Correlate crash frequency with process names, bundle paths, bundle structure, and recent application launches.
- Treat high-entropy process naming or malformed bundle indicators as triage enrichments, not standalone proof of malicious activity.
- Tune for common false positives such as unstable legitimate software, failed updates, corrupted applications, beta builds, or incompatible macOS versions.
- Create escalation criteria for repeated crashes plus suspicious process or bundle attributes, especially when multiple endpoints show similar behavior.
Mitigation priorities
- Ensure macOS endpoints are managed with centralized logging, EDR or equivalent endpoint monitoring, and reliable crash telemetry collection.
- Maintain application control and software inventory practices so unknown or malformed bundles can be investigated quickly.
- Use MDM or endpoint management to remove corrupted or unauthorized applications when validated by IR triage.
- Document help desk escalation paths for repeated application crashes and system slowdowns that may indicate security-relevant activity.
- Review macOS hardening and application trust policies, including controls around unsigned or untrusted applications, where appropriate for the environment.
Analyst notes and limits
This is a detection analytic object for macOS only. The supplied ATT&CK fields describe a behavioral signal but do not provide detection pseudocode, data source mappings, tactics, techniques, or relationships. Glexia interpretation therefore focuses on defensive validation and triage value rather than specific adversary tradecraft.
Official detection content is not provided, and no relationship context is supplied. Local baselines are required to determine what constitutes high entropy, malformed bundles, abnormal crash frequency, or meaningful system slowdown in a specific macOS fleet.
Analytic 0586
Adversary launches high-entropy process or malformed app bundle causing repeated application crashes and system slowdowns.
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 | 04b410b431a3… |
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 AN0586Open source URL
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