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MITRE ATT&CK® Technique

T1016.002: Wi-Fi Discovery

Adversaries may search for information about Wi-Fi networks, such as network names and passwords, on compromised systems. Adversaries may use Wi-Fi information as part of Account Discovery, Remote System Discovery, and other discovery or Credential Access activity to support both ongoing and future campaigns.

Adversaries may collect various types of information about Wi-Fi networks from hosts. For example, on Windows names and passwords of all Wi-Fi networks a device has previously connected to may be available through `netsh wlan show profiles` to enumerate Wi-Fi names and then `netsh wlan show profile “Wi-Fi name” key=clear` to show a Wi-Fi network’s corresponding password.[1][2][3] Additionally, names and other details of locally reachable Wi-Fi networks can be discovered using calls to `wlanAPI.dll` Native API functions.[4]

On Linux, names and passwords of all Wi-Fi-networks a device has previously connected to may be available in files under ` /etc/NetworkManager/system-connections/`.[5] On macOS, the password of a known Wi-Fi may be identified with ` security find-generic-password -wa wifiname` (requires admin username/password).[6]

EnterpriseT1016.002Sub-techniqueObject v1.1 Modified
Glexia's Take

Analyst context for executives and security teams

Analyst confidence High

Wi-Fi Discovery matters because a compromised laptop or workstation can expose nearby networks and previously saved wireless credentials, turning an endpoint incident into a broader access, credential, or physical-proximity risk. For leaders, the key issue is not just that an attacker can list Wi-Fi details; it is whether corporate devices store reusable wireless secrets and whether SOC/IR teams can see when common OS tools, APIs, or scripts are used to retrieve them.

Executive priority

Treat this as a resilience and access-control validation point for organizations with corporate Wi-Fi, mobile workforces, sensitive sites, or executive/travel devices. Priority questions: are wireless credentials protected and rotated appropriately, are privileged prompts or admin credentials required where expected, and can incident responders determine whether Wi-Fi secrets were accessed during a host compromise? The relationship to the APT28 Nearest Neighbor Campaign also makes this relevant to physical/cyber convergence, because nearby wireless access can matter when adversaries operate around a target environment.

Technical view

This is an enterprise discovery sub-technique of System Network Configuration Discovery for Linux, Windows, and macOS. ATT&CK provides no official detection text, so defenders should validate behavior-based coverage using the related DET0464 detection strategy where available. Practical validation should focus on endpoint process and script activity that queries saved or reachable Wi-Fi profiles, access to OS locations that store wireless configuration, and use of native APIs or command-line utilities associated with wireless profile enumeration. Relationship context shows use by Windows-focused malware including Agent Tesla, Emotet, Machete, CharmPower, and PUBLOAD, plus Magic Hound and the APT28 Nearest Neighbor Campaign, so detections should be tested in post-compromise discovery sequences rather than treated as standalone high-confidence alerts.

Likely telemetry

  • Endpoint process creation and command-line telemetry on Windows, Linux, and macOS
  • PowerShell or script execution records where available
  • File access telemetry for wireless configuration locations, especially Linux NetworkManager connection files
  • macOS security/keychain access events where available
  • Windows API or module telemetry related to wireless LAN enumeration where available

Detection direction

  • Baseline legitimate administrative and helpdesk use of Wi-Fi profile utilities to reduce false positives.
  • Correlate Wi-Fi discovery activity with other discovery, credential access, persistence, or C2 indicators instead of alerting only on a single command.
  • Validate visibility on all supported platforms: Windows, Linux, and macOS coverage will differ substantially.
  • Look for unusual users, parent processes, scripts, malware-staging directories, or non-interactive contexts performing wireless profile discovery.
  • Confirm whether detections cover both command-line enumeration and non-command methods such as native API calls.

Mitigation priorities

  • Limit storage and reuse of shared Wi-Fi credentials where operationally feasible.
  • Prefer identity-bound wireless access controls and timely credential rotation over long-lived shared secrets.
  • Restrict local administrative access because some password retrieval paths may require elevated privileges or admin credentials.
  • Harden endpoint logging and EDR collection for process, script, file access, and keychain or credential-store activity.
  • Include saved Wi-Fi credential review in incident response scoping for compromised laptops and workstations.
Analyst notes and limits

ATT&CK identifies this as a discovery behavior, but the practical risk often lands in credential exposure, lateral movement planning, and proximity-based access decisions. The supplied relationships show multiple malware and campaign/group associations, but those relationships should be used for prioritization and detection testing, not for attribution from telemetry alone.

The official ATT&CK object does not provide a detection section or mitigations. This take is based only on the supplied ATT&CK description, platforms, external references, and relationships. Local environment evidence is required to determine whether saved Wi-Fi secrets exist, whether telemetry captures access to them, and whether observed activity is malicious or legitimate administration.

Official MITRE ATT&CK definition

Wi-Fi Discovery

Adversaries may search for information about Wi-Fi networks, such as network names and passwords, on compromised systems. Adversaries may use Wi-Fi information as part of Account Discovery, Remote System Discovery, and other discovery or Credential Access activity to support both ongoing and future campaigns.

Adversaries may collect various types of information about Wi-Fi networks from hosts. For example, on Windows names and passwords of all Wi-Fi networks a device has previously connected to may be available through `netsh wlan show profiles` to enumerate Wi-Fi names and then `netsh wlan show profile “Wi-Fi name” key=clear` to show a Wi-Fi network’s corresponding password.[1][2][3] Additionally, names and other details of locally reachable Wi-Fi networks can be discovered using calls to `wlanAPI.dll` Native API functions.[4]

On Linux, names and passwords of all Wi-Fi-networks a device has previously connected to may be available in files under ` /etc/NetworkManager/system-connections/`.[5] On macOS, the password of a known Wi-Fi may be identified with ` security find-generic-password -wa wifiname` (requires admin username/password).[6]

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
Domain ID Name Relationship / procedure
Enterprise T1016 System Network Configuration Discovery This object subtechnique of System Network Configuration Discovery.
Associated objects

Groups, software, and campaigns

Group Enterprise

G0059: Magic Hound

Magic Hound is an Iranian-sponsored threat group that conducts long term, resource-intensive cyber espionage operations, likely on behalf of the Islamic Revolutionary Guard Corps. They have targeted European, U.S., and Middle Eastern government and military personnel, academics, journalists, and organizations such as the World Health Organization (WHO), via complex social engineering campaigns since at least 2014.[1][2][3][4][5]

Malware Enterprise

S1228: PUBLOAD

PUBLOAD is a stager malware that has been observed installing itself in existing directories such as `C:\Users\Public` or creating new directories to stage the malware and its components.[1] PUBLOAD malware collects details of the victim host, establishes persistence, encrypts victim details using RC4 and communicates victim details back to C2. PUBLOAD malware has previously been leveraged by China-affiliated actors identified as Mustang Panda. PUBLOAD is also known as “NoFive” and some public reporting identifies the loader component as CLAIMLOADER.[2]

Windows
Malware Enterprise

S0367: Emotet

Emotet is a modular malware variant which is primarily used as a downloader for other malware variants such as TrickBot and IcedID. Emotet first emerged in June 2014, initially targeting the financial sector, and has expanded to multiple verticals over time.[1]

Windows
Campaign Enterprise

C0051: APT28 Nearest Neighbor Campaign

APT28 Nearest Neighbor Campaign was conducted by APT28 from early February 2022 to November 2024 against organizations and individuals with expertise on Ukraine. APT28 primarily leveraged living-off-the-land techniques, while leveraging the zero-day exploitation of CVE-2022-38028. Notably, APT28 leveraged Wi-Fi networks in close proximity to the intended target to gain initial access to the victim environment. By daisy-chaining multiple compromised organizations nearby the intended target, APT28 discovered dual-homed systems (with both a wired and wireless network connection) to enable Wi-Fi and use compromised credentials to connect to the victim network.[1]

Relationship explorer

All related ATT&CK context

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
19.1
Object version
1.1
Created
Modified
Raw hash
4efa3493d44f82b8...
Imported snapshots across ATT&CK releases (1)
Release Bundle imported Object version Modified Status Raw hash
19.1 1.1 Current bundle 4efa3493d44f…
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.

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]
    BleepingComputer Agent Tesla steal wifi passwords

    Sergiu Gatlan. (2020, April 16). Hackers steal WiFi passwords using upgraded Agent Tesla malware. Retrieved September 8, 2023.

    Open source URL
  2. [2]
    Malware Bytes New AgentTesla variant steals WiFi credentials

    Hossein Jazi. (2020, April 16). New AgentTesla variant steals WiFi credentials. Retrieved September 8, 2023.

    Open source URL
  3. [3]
    Check Point APT35 CharmPower January 2022

    Check Point. (2022, January 11). APT35 exploits Log4j vulnerability to distribute new modular PowerShell toolkit. Retrieved January 24, 2022.

    Open source URL
  4. [4]
    Binary Defense Emotes Wi-Fi Spreader

    Binary Defense. (n.d.). Emotet Evolves With new Wi-Fi Spreader. Retrieved September 8, 2023.

    Open source URL
  5. [5]
    Wi-Fi Password of All Connected Networks in Windows/Linux

    Geeks for Geeks. (n.d.). Wi-Fi Password of All Connected Networks in Windows/Linux. Retrieved September 8, 2023.

    Open source URL
  6. [6]
    Find Wi-Fi Password on Mac

    Ruslana Lishchuk. (2021, March 26). How to Find a Saved Wi-Fi Password on a Mac. Retrieved September 8, 2023.

    Open source URL
  7. [7]
    mitre-attack T1016.002
    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.