AN1952: Analytic 1952
Internet scanners may be used to look for patterns associated with malicious content designed to collect client configuration information from visitors.[1][2] Much of this activity may have a very high occurrence and associated false positive rate, as well as potentially taking place outside the visibility of the target organization, making detection difficult for defenders. Detection efforts may be focused on related stages of the adversary lifecycle, such as during Initial Access.
Analyst context for executives and security teams
This analytic is about the difficulty of spotting internet-scale scanning for web content that may collect visitor configuration details, such as reconnaissance frameworks associated with watering-hole style activity. For leaders, the key issue is not a single high-confidence alert; it is whether the organization has enough external visibility, threat intelligence context, and follow-on monitoring to recognize when public-facing web exposure or third-party web content could become part of an adversary’s pre-access reconnaissance path.
Executive priority
Treat this as a visibility and prioritization question rather than a guaranteed detection use case. The official ATT&CK text notes high expected volume, high false-positive potential, and activity that may occur outside the target organization’s visibility. Executives should ask whether SOC, incident response, threat intelligence, and web/security teams can connect external scanning signals with Initial Access monitoring, public-facing asset governance, and evidence needed for risk reviews or compliance discussions.
Technical view
ATT&CK provides no specific detection logic for AN1952 and lists the platform as PRE with no tactic specified. SOC and detection teams should validate whether they collect and retain evidence related to internet scanning of public-facing web properties, suspicious requests for pages or scripts associated with client-configuration collection, and threat-intelligence reporting on related infrastructure. Because the object explicitly warns of high false positives and limited defender visibility, detection should emphasize correlation with later lifecycle signals, especially Initial Access-related activity, rather than alerting on generic scanner behavior alone.
Likely telemetry
- Public-facing web server access logs and reverse proxy logs
- WAF, CDN, or edge security request logs where available
- External attack surface management or internet exposure monitoring results
- Threat intelligence indicators or infrastructure research relevant to suspicious scanning patterns
- DNS and domain/infrastructure context for public web assets
Detection direction
- Do not treat generic internet scanning as inherently malicious; tune for patterns tied to known suspicious content, unusual targeting of public-facing assets, or correlation with threat intelligence.
- Validate whether key web telemetry is available at the edge; activity may occur outside internal network visibility.
- Use correlation with related lifecycle stages, especially Initial Access monitoring, as recommended by the official description.
- Track false-positive drivers such as benign research scanners, search indexing, vulnerability scanners, and routine internet background noise.
- Document coverage gaps where third-party hosted pages, CDN-only logs, or external infrastructure are not available to the SOC.
Mitigation priorities
- Prioritize inventory and ownership of public-facing web assets so external scanning observations can be mapped to business services.
- Ensure edge logging, retention, and access for SOC and incident response teams before relying on this analytic.
- Use threat intelligence and external attack surface monitoring to add context, not as standalone proof of compromise.
- Harden and monitor web properties that could host or reference client-side content capable of collecting visitor configuration details.
- Prepare incident response playbooks that connect suspicious reconnaissance to follow-on Initial Access investigation paths.
Analyst notes and limits
AN1952 is best used as a reminder that reconnaissance-adjacent internet scanner activity is noisy and often only partially visible to the defender. The business value is in validating external visibility, correlation workflows, and response readiness rather than expecting a precise detection rule from ATT&CK.
The supplied ATT&CK object has no official detection logic, no relationships, no tactics, and only the PRE platform. This take is therefore limited to conservative defensive planning based on the official description and cited references. Local telemetry, asset ownership, hosting model, and threat intelligence access are required to determine practical coverage.
Analytic 1952
Internet scanners may be used to look for patterns associated with malicious content designed to collect client configuration information from visitors.[1][2] Much of this activity may have a very high occurrence and associated false positive rate, as well as potentially taking place outside the visibility of the target organization, making detection difficult for defenders. Detection efforts may be focused on related stages of the adversary lifecycle, such as during Initial Access.
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 | a7b960183157… |
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]
ThreatConnect Infrastructure Dec 2020
ThreatConnect. (2020, December 15). Infrastructure Research and Hunting: Boiling the Domain Ocean. Retrieved October 12, 2021.
Open source URL -
[2]
ATT ScanBox
Blasco, J. (2014, August 28). Scanbox: A Reconnaissance Framework Used with Watering Hole Attacks. Retrieved October 19, 2020.
Open source URL -
[3]
mitre-attack AN1952Open source URL
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