AN2024: Analytic 2024
Monitor logged domain name system (DNS) data for purchased domains that can be used during targeting. Reputation/category-based detection may be difficult until the categorization is updated. Detection efforts may be focused on related stages of the adversary lifecycle, such as during Initial Access and Command and Control. Domain registration information is, by design, captured in public registration logs. Consider use of services that may aid in tracking of newly acquired domains, such as WHOIS databases and/or passive DNS. In some cases it may be possible to pivot on known pieces of domain registration information to uncover other infrastructure purchased by the adversary. Consider monitoring for domains created with a similar structure to your own, including under a different TLD. Though various tools and services exist to track, query, and monitor domain name registration information, tracking across multiple DNS infrastructures can require multiple tools/services or more advanced analytics.[1] Detection efforts may be focused on related stages of the adversary lifecycle, such as during Initial Access and Command and Control. Monitor queried domain name system (DNS) registry data for purchased domains that can be used during targeting. Reputation/category-based detection may be difficult until the categorization is updated. Detection efforts may be focused on related stages of the adversary lifecycle, such as during Initial Access and Command and Control.
Security context for executives and security teams
AN2024: Analytic 2024 describes Monitor logged domain name system (DNS) data for purchased domains that can be used during targeting. Reputation/category-based detection may be difficult until the categorization is updated. Detection efforts may be focused on related stages of the adversary lifecycle, such as during Initial Access and Command and Control. Domain registration information is, by design, captured in public registration logs. Consider use of services that may aid in tracking of newly acquired domains, such as WHOIS databases and/or p...
Executive priority
AN2024: Analytic 2024 is an official MITRE ATT&CK detection analytic. Glexia treats it as defensive behavior context for prioritizing monitoring, control validation, and response planning without using the object by itself as an attribution claim.
Technical view
Security teams should validate AN2024: Analytic 2024 by reviewing the official ATT&CK relationships, mapped tactics (the mapped ATT&CK tactic context), supported platforms (PRE), and available local telemetry before making detection or mitigation decisions.
Likely telemetry
- Official ATT&CK relationships and object metadata
Detection direction
- Validate whether AN2024: Analytic 2024 appears in your detection coverage and tabletop scenarios.
- Use the object to align executive risk language with SOC, incident response, and detection engineering work.
- Do not treat ATT&CK relationship context as attribution without corroborating evidence.
Mitigation priorities
- Map the object to existing controls and identify missing telemetry or response ownership.
- Prioritize mitigations that reduce exposure on the listed platforms and tactics.
- Review adjacent ATT&CK relationships before changing policy, detections, or reporting language.
Additional notes and limits
Baseline Glexia take generated from the official MITRE ATT&CK STIX object, source hash, tactics, platforms, and detection fields. It is safe to replace with a richer model-generated take for the same source hash later.
This baseline take is source-grounded and schema-validated, but it does not include environment-specific telemetry, incident evidence, or threat-intelligence corroboration.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Analytic 2024
Monitor logged domain name system (DNS) data for purchased domains that can be used during targeting. Reputation/category-based detection may be difficult until the categorization is updated. Detection efforts may be focused on related stages of the adversary lifecycle, such as during Initial Access and Command and Control. Domain registration information is, by design, captured in public registration logs. Consider use of services that may aid in tracking of newly acquired domains, such as WHOIS databases and/or passive DNS. In some cases it may be possible to pivot on known pieces of domain registration information to uncover other infrastructure purchased by the adversary. Consider monitoring for domains created with a similar structure to your own, including under a different TLD. Though various tools and services exist to track, query, and monitor domain name registration information, tracking across multiple DNS infrastructures can require multiple tools/services or more advanced analytics.[1] Detection efforts may be focused on related stages of the adversary lifecycle, such as during Initial Access and Command and Control. Monitor queried domain name system (DNS) registry data for purchased domains that can be used during targeting. Reputation/category-based detection may be difficult until the categorization is updated. Detection efforts may be focused on related stages of the adversary lifecycle, such as during Initial Access and Command and Control.
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(2)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.2 | 1.0 | Current bundle | 612da5080488… | ||
| 19.1 | 1.0 | Older bundle | 612da5080488… |
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.
- [1]ThreatConnect Infrastructure Dec 2020
ThreatConnect. (2020, December 15). Infrastructure Research and Hunting: Boiling the Domain Ocean. Retrieved October 12, 2021.
Open source URL - [2]mitre-attackAN2024Open source URL
Source: MITRE ATT&CK®. © 2026 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation. MITRE ATT&CK and ATT&CK are registered trademarks of The MITRE Corporation. Glexia is not affiliated with or endorsed by MITRE.