AN1876: Analytic 1876
Purely passive network sniffing cannot be detected effectively. In cases where the adversary interacts with the wireless network (e.g., joining a Wi-Fi network) detection may be possible. Monitor for new or irregular network traffic flows which may indicate potentially unwanted devices or sessions on wireless networks. In Wi-Fi networks monitor for changes such as rogue access points or low signal strength, indicating a device is further away from the access point then expected and changes in the physical layer signal.[1] [2] Network traffic content will provide important context, such as hardware (e.g., MAC) addresses, user accounts, and types of messages sent.
Analyst context for executives and security teams
This analytic matters because it highlights a hard truth for wireless and ICS-adjacent environments: purely passive wireless sniffing may leave no reliable technical signal to detect. Defensive value comes from validating whether the organization can spot the moments when an unwanted device stops being passive and interacts with the wireless network, such as joining Wi-Fi, creating irregular traffic flows, appearing as a rogue access point, or showing unusual physical-layer characteristics.
Executive priority
Treat this as a coverage-gap and resilience question, not just a SOC alerting question. Leaders should ask whether wireless monitoring exists in facilities where network exposure could affect operations, whether teams can produce evidence of rogue access point and unauthorized session monitoring, and whether incident responders know how to investigate suspicious wireless devices using network and physical-layer context. This is especially relevant where wireless access intersects with operational continuity, compliance evidence, or cyber-physical risk.
Technical view
ATT&CK states that passive sniffing cannot be detected effectively. SOC and detection teams should therefore validate monitoring around detectable interaction: new or irregular wireless network traffic flows, potentially unwanted devices or sessions, rogue access points, low signal strength that may indicate unexpected device location or distance, and physical-layer signal changes. Network traffic content should be used for context, including MAC addresses, user accounts, and message types. Because no platforms, tactics, or relationships are supplied, implementation should be scoped to the organization’s actual wireless environments and sensor coverage.
Likely telemetry
- Wireless intrusion detection or wireless monitoring alerts
- Rogue access point detection records
- Wireless association/session records
- Network traffic flow metadata for wireless segments
- MAC address observations and device identity data
Detection direction
- Do not treat absence of alerts as evidence that passive sniffing is not occurring; ATT&CK explicitly notes passive sniffing cannot be detected effectively.
- Validate that monitoring can identify new or irregular wireless traffic flows and unexpected wireless sessions.
- Tune for rogue access points and suspicious physical-layer changes, including low signal strength or unexpected signal patterns, while accounting for normal environmental variation.
- Correlate device identifiers, user accounts, traffic types, and location/signal context before escalating, since wireless environments can produce false positives from legitimate roaming, temporary devices, or infrastructure changes.
- Document blind spots where wireless areas lack sensors, traffic visibility, or physical-layer monitoring.
Mitigation priorities
- Prioritize wireless asset and access point inventory so unknown infrastructure can be distinguished from approved infrastructure.
- Ensure monitoring coverage exists for wireless networks that support sensitive, operational, or compliance-relevant activity.
- Define investigation procedures for suspected rogue access points, unauthorized sessions, or unusual wireless signal behavior.
- Use network segmentation and access governance to limit business impact if an unwanted wireless device connects.
- Maintain evidence collection practices for wireless alerts, device identifiers, account context, and traffic metadata to support incident response and audit readiness.
Analyst notes and limits
This is a detection analytic, not a technique description. Its main decision value is setting realistic expectations: passive wireless collection may not be observable, so defensive programs should focus on detecting adversary interaction with the wireless environment and proving where visibility exists.
The supplied object has no platforms, tactics, official detection section, or relationship context. The take is therefore limited to the official description and cited external references. Local wireless architecture, sensor placement, legal constraints on packet/content capture, and operational baselines are required to determine practical coverage.
Analytic 1876
Purely passive network sniffing cannot be detected effectively. In cases where the adversary interacts with the wireless network (e.g., joining a Wi-Fi network) detection may be possible. Monitor for new or irregular network traffic flows which may indicate potentially unwanted devices or sessions on wireless networks. In Wi-Fi networks monitor for changes such as rogue access points or low signal strength, indicating a device is further away from the access point then expected and changes in the physical layer signal.[1] [2] Network traffic content will provide important context, such as hardware (e.g., MAC) addresses, user accounts, and types of messages sent.
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 | 33b895363bd9… |
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]
Nzyme Alerts Intro
Koopmann, Lennart. (n.d.). Nzyme Alerts Introduction. Retrieved November 17, 2024.
Open source URL -
[2]
Wireless Intrusion Detection
Tomko, A.; Rieser, C; Buell, H.; Zeret, D.; Turner, W.. (2007, March). Wireless Intrusion Detection. Retrieved September 26, 2022.
Open source URL -
[3]
mitre-attack AN1876Open source URL
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