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ATT&CK Technique

Evil Twin

T1557.004 · credential-access, collection

Adversaries may host seemingly genuine Wi-Fi access points to deceive users into connecting to malicious networks as a way of supporting follow-on behaviors such as Network Sniffing, Transmitted Data Manipulation, or Input Capture. By using a Service Set Identifier (SSID) of a legitimate Wi-Fi network, fraudulent Wi-Fi access points may trick devices or users into connecting to malicious Wi-Fi networks. Adversaries may provide a stronger signal strength or block access to Wi-Fi access points to coerce or entice victim devices into connecting to malicious networks.

A Wi-Fi Pineapple - a network security auditing and penetration testing tool - may be deployed in Evil Twin attacks for ease of use and broader range. Custom certificates may be used in an attempt to intercept HTTPS traffic. Similarly, adversaries may also listen for client devices sending probe requests for known or previously connected networks (Preferred Network Lists or PNLs).

When a malicious access point receives a probe request, adversaries can respond with the same SSID to imitate the trusted, known network. Victim devices are led to believe the responding access point is from their PNL and initiate a connection to the fraudulent network. Upon logging into the malicious Wi-Fi access point, a user may be directed to a fake login page or captive portal webpage to capture the victim’s credentials.

Once a user is logged into the fraudulent Wi-Fi network, the adversary may able to monitor network activity, manipulate data, or steal additional credentials. Locations with high concentrations of public Wi-Fi access, such as airports, coffee shops, or libraries, may be targets for adversaries to set up illegitimate Wi-Fi access points.

Network Devices

Actors Using This

2
russiaAPT28

Mitigations

2
MITRE ATT&CK mitigations - vendor-agnostic guidance for reducing exposure to this technique.
M1017User Training

User Training involves educating employees and contractors on recognizing, reporting, and preventing cyber threats that rely on human interaction, such as phishing, social engineering, and other manipulative techniques. Comprehensive training programs create a human firewall by empowering users to be an active component of the organization's cybersecurity defenses.

Create Comprehensive Training Programs
  • Design training modules tailored to the organization's risk profile, covering topics such as phishing, password management, and incident reporting.
  • Provide role-specific training for high-risk employees, such as helpdesk staff or executives.
Use Simulated Exercises
  • Conduct phishing simulations to measure user susceptibility and provide targeted follow-up training.
  • Run social engineering drills to evaluate employee responses and reinforce protocols.
Leverage Gamification and Engagement
  • Introduce interactive learning methods such as quizzes, gamified challenges, and rewards for successful detection and reporting of threats.
Incorporate Security Policies into Onboarding
  • Include cybersecurity training as part of the onboarding process for new employees.
  • Provide easy-to-understand materials outlining acceptable use policies and reporting procedures.
Regular Refresher Courses
  • Update training materials to include emerging threats and techniques used by adversaries.
  • Ensure all employees complete periodic refresher courses to stay informed.
Emphasize Real-World Scenarios
  • Use case studies of recent attacks to demonstrate the consequences of successful phishing or social engineering.
  • Discuss how specific employee actions can prevent or mitigate such attacks.
M1031Network Intrusion Prevention

Use intrusion detection signatures to block traffic at network boundaries.

Detection Coverage

0/6 layers
Coverage across standard detection surfaces. Rows marked none have no rule of that type mapped. Some are real blind spots worth closing; others are simply not applicable to this technique (e.g. YARA matches malware files, not network behaviour).
Behavioral / log (Sigma) none
Analytics (MITRE CAR) none
Runtime / container (Falco) none
File / malware (YARA) none
Network (Suricata/Snort) none
Vuln scan (Nuclei) none

Comply & Defend

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