AN1765: Analytic 1765
Monitor for pseudo-randomly generated domain names based on frequency analysis, Markov chains, entropy, proportion of dictionary words, ratio of vowels to other characters, and more.[1] Additionally, check if the suspicious domain has been recently registered, if it has been rarely visited, or if the domain had a spike in activity after being dormant.[2] Content delivery network (CDN) domains may trigger these detections due to the format of their domain names.
Security context for executives and security teams
AN1765: Analytic 1765 describes Monitor for pseudo-randomly generated domain names based on frequency analysis, Markov chains, entropy, proportion of dictionary words, ratio of vowels to other characters, and more.(Citation: Data Driven Security DGA) Additionally, check if the suspicious domain has been recently registered, if it has been rarely visited, or if the domain had a spike in activity after being dormant.(Citation: unit42_strat_aged_domain_det) Content delivery network (CDN) domains may trigger these detections due to the format of thei...
Executive priority
AN1765: Analytic 1765 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 AN1765: Analytic 1765 by reviewing the official ATT&CK relationships, mapped tactics (the mapped ATT&CK tactic context), supported platforms (Android), and available local telemetry before making detection or mitigation decisions.
Likely telemetry
- Official ATT&CK relationships and object metadata
Detection direction
- Validate whether AN1765: Analytic 1765 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 1765
Monitor for pseudo-randomly generated domain names based on frequency analysis, Markov chains, entropy, proportion of dictionary words, ratio of vowels to other characters, and more.[1] Additionally, check if the suspicious domain has been recently registered, if it has been rarely visited, or if the domain had a spike in activity after being dormant.[2] Content delivery network (CDN) domains may trigger these detections due to the format of their domain names.
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 | 55df667b4f44… | ||
| 19.1 | 1.0 | Older bundle | 55df667b4f44… |
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]Data Driven Security DGA
Jacobs, J. (2014, October 2). Building a DGA Classifier: Part 2, Feature Engineering. Retrieved February 18, 2019.
Open source URL - [2]unit42_strat_aged_domain_det
Chen, Z. et al. (2021, December 29). Strategically Aged Domain Detection: Capture APT Attacks With DNS Traffic Trends. Retrieved July 31, 2023.
Open source URL - [3]mitre-attackAN1765Open source URL
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