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MITRE ATT&CK® Technique

T1592.004: Client Configurations

Adversaries may gather information about the victim's client configurations that can be used during targeting. Information about client configurations may include a variety of details and settings, including operating system/version, virtualization, architecture (ex: 32 or 64 bit), language, and/or time zone.

Adversaries may gather this information in various ways, such as direct collection actions via Active Scanning (ex: listening ports, server banners, user agent strings) or Phishing for Information. Adversaries may also compromise sites then include malicious content designed to collect host information from visitors.[1] Information about the client configurations may also be exposed to adversaries via online or other accessible data sets (ex: job postings, network maps, assessment reports, resumes, or purchase invoices). Gathering this information may reveal opportunities for other forms of reconnaissance (ex: Search Open Websites/Domains or Search Open Technical Databases), establishing operational resources (ex: Develop Capabilities or Obtain Capabilities), and/or initial access (ex: Supply Chain Compromise or External Remote Services).

EnterpriseT1592.004Sub-techniqueObject v1.1Modified
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Glexia's Take · Automated analysis

Security context for executives and security teams

Automation confidenceMedium

T1592.004: Client Configurations describes Adversaries may gather information about the victim's client configurations that can be used during targeting. Information about client configurations may include a variety of details and settings, including operating system/version, virtualization, architecture (ex: 32 or 64 bit), language, and/or time zone. Adversaries may gather this information in various ways, such as direct collection actions via [Active Scanning](https://attack.mitre.org/techniques/T1595) (ex: listening ports, server banners, user agent stri...

Executive priority

T1592.004: Client Configurations is an official MITRE ATT&CK technique. 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 T1592.004: Client Configurations by reviewing the official ATT&CK relationships, mapped tactics (reconnaissance), 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 T1592.004: Client Configurations 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.

Official MITRE ATT&CK definition

Client Configurations

Adversaries may gather information about the victim's client configurations that can be used during targeting. Information about client configurations may include a variety of details and settings, including operating system/version, virtualization, architecture (ex: 32 or 64 bit), language, and/or time zone.

Adversaries may gather this information in various ways, such as direct collection actions via Active Scanning (ex: listening ports, server banners, user agent strings) or Phishing for Information. Adversaries may also compromise sites then include malicious content designed to collect host information from visitors.[1] Information about the client configurations may also be exposed to adversaries via online or other accessible data sets (ex: job postings, network maps, assessment reports, resumes, or purchase invoices). Gathering this information may reveal opportunities for other forms of reconnaissance (ex: Search Open Websites/Domains or Search Open Technical Databases), establishing operational resources (ex: Develop Capabilities or Obtain Capabilities), and/or initial access (ex: Supply Chain Compromise or External Remote Services).

View the same entry on attack.mitre.org (MITRE-hosted reference; in-page links above use the Glexia ATT&CK library.)

Glexia analysis

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.

ATT&CK relationship table

Related techniques

This mirrors the MITRE pattern of making group, software, campaign, and technique relationships scannable. Relationship notes come from mirrored ATT&CK relationship text when available.

1 rows
DomainIDNameRelationship / procedure
EnterpriseT1592Gather Victim Host InformationThis object subtechnique of Gather Victim Host Information.
Associated objects

Groups, software, and campaigns

GroupEnterprise

G0125: HAFNIUM

HAFNIUM is a likely state-sponsored cyber espionage group operating out of China that has been active since at least January 2021. HAFNIUM primarily targets entities in the US across a number of industry sectors, including infectious disease researchers, law firms, higher education institutions, defense contractors, policy think tanks, and NGOs. HAFNIUM has targeted remote management tools and cloud software for intial access and has demonstrated an ability to quickly operationalize exploits for identified vulnerabilities in edge devices.[1][2][3]

CampaignEnterprise

C0062: Anthropic AI-orchestrated Campaign

The Anthropic AI-orchestrated Campaign was conducted in September 2025 by a likely China nexus espionage actor identified as GTG-1002. The Anthropic AI-orchestrated Campaign was a highly coordinated operation that manipulated Claude Code to perform reconnaissance, vulnerability discovery, exploitation, lateral movement, credential harvesting, data analysis, and exfiltration operations at approximately 30 entities in the technology, financial, chemical, and government sectors. During the Anthropic AI-orchestrated Campaign, human operators used Claude Code agents and Model Context Protocol (MCP) tools to automate cyber operations. Operators broke attacks into discrete tasks, used crafted prompts, and established personas to bypass AI guardrails, enabling the agents to execute the operations with minimal human involvement.[1][2]

Relationship explorer

All related ATT&CK context

uses · CampaignC0062: Anthropic AI-orchestrated CampaignEnterprisemitigates · MitigationM1056: Pre-compromiseEnterpriseuses · GroupG0125: HAFNIUMEnterprisesubtechnique of · TechniqueT1592: Gather Victim Host InformationEnterprisedetects · Detection StrategyDET0820: Detection of Client ConfigurationsEnterprise
Mitigations

Mitigation direction

MitigationEnterprise

M1056: Pre-compromise

Pre-compromise mitigations involve proactive measures and defenses implemented to prevent adversaries from successfully identifying and exploiting weaknesses during the Reconnaissance and Resource Development phases of an attack. These activities focus on reducing an organization's attack surface, identify adversarial preparation efforts, and increase the difficulty for attackers to conduct successful operations. This mitigation can be implemented through the following measures:

Limit Information Exposure:

- Regularly audit and sanitize publicly available data, including job posts, websites, and social media. - Use tools like OSINT monitoring platforms (e.g., SpiderFoot, Recon-ng) to identify leaked information.

Protect Domain and DNS Infrastructure:

- Enable DNSSEC and use WHOIS privacy protection. - Monitor for domain hijacking or lookalike domains using services like RiskIQ or DomainTools.

External Monitoring:

- Use tools like Shodan, Censys to monitor your external attack surface. - Deploy external vulnerability scanners to proactively address weaknesses.

Threat Intelligence:

- Leverage platforms like MISP, Recorded Future, or Anomali to track adversarial infrastructure, tools, and activity.

Content and Email Protections:

- Use email security solutions like Proofpoint, Microsoft Defender for Office 365, or Mimecast. - Enforce SPF/DKIM/DMARC policies to protect against email spoofing.

Training and Awareness:

- Educate employees on identifying phishing attempts, securing their social media, and avoiding information leaks.

Change history

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.

ATT&CK release
19.2
Object version
1.1
Created
Modified
Raw hash
c3f603523a6e0958...
Imported snapshots across ATT&CK releases(2)
ReleaseBundle importedObject versionModifiedStatusRaw hash
19.21.1Current bundlec3f603523a6e…
19.11.1Older bundlec3f603523a6e…
Raw source

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.

Open mirrored raw JSONOpen MITRE-hosted copy
Source references

External references and citations

MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.

  1. [1]
    ATT ScanBox

    Blasco, J. (2014, August 28). Scanbox: A Reconnaissance Framework Used with Watering Hole Attacks. Retrieved October 19, 2020.

    Open source URL
  2. [2]
    ThreatConnect Infrastructure Dec 2020

    ThreatConnect. (2020, December 15). Infrastructure Research and Hunting: Boiling the Domain Ocean. Retrieved October 12, 2021.

    Open source URL
  3. [3]
    mitre-attackT1592.004
    Open source URL
Source and licensing

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.

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