Multi-Factor Authentication (MFA) enhances security by requiring users to provide at least two forms of verification to prove their identity before granting access. These factors typically include: - *Something you know*: Passwords, PINs. - *Something you have*: Physical tokens, smartphone authenticator apps. - *Something you are*: Biometric data such as fingerprints, facial recognition, or retinal scans. Implementing MFA across all critical systems and services ensures robust protection against account takeover and unauthorized access. This mitigation can be implemented through the following measures: Identity and Access Management (IAM): - Use IAM solutions like Azure Active Directory, Okta, or AWS IAM to enforce MFA policies for all user logins, especially for privileged roles. - Enable conditional access policies to enforce MFA for risky sign-ins (e.g., unfamiliar devices, geolocati…
MITRE mitigation sourceWi-Fi Networks
Adversaries may gain initial access to target systems by connecting to wireless networks. They may accomplish this by exploiting open Wi-Fi networks used by target devices or by accessing secured Wi-Fi networks — requiring [Valid Accounts](https://attack.mitre.org/techniques/T1078) — belonging to a target organization.(Citation: DOJ GRU Charges 2018)(Citation: Nearest Neighbor Volexity) Establishing a connection to a Wi-Fi access point requires a certain level of proximity to both discover and maintain a stable network connection. Adversaries may establish a wireless connection through various methods, such as by physically positioning themselves near a Wi-Fi network to conduct close access operations. To bypass the need for physical proximity, adversaries may attempt to remotely compromise nearby third-party systems that have both wired and wireless network connections available (i.e., dual-homed systems). These third-party compromised devices can then serve as a bridge to connect to a target’s Wi-Fi network.(Citation: Nearest Neighbor Volexity) Once an initial wireless connection is achieved, adversaries may leverage this access for follow-on activities in the victim network or further targeting of specific devices on the network. Adversaries may perform [Network Sniffing](https://attack.mitre.org/techniques/T1040) or [Adversary-in-the-Middle](https://attack.mitre.org/techniques/T1557) activities for [Credential Access](https://attack.mitre.org/tactics/TA0006) or [Discovery](https://attack.mitre.org/tactics/TA0007).
Open in the interactive knowledge mesh
Detection overview
Use the published detection strategies below and validate required telemetry in the target environment.
Observed groups
Cyber Knowledge context
Use these routes to move from the ATT&CK behavior into explanation, implementation, evidence handling, validation, and defensive operations. Relevance is generated from explicit identifiers/names and governed topic mappings; it is not attribution evidence.
MITRE mitigations
Network segmentation involves dividing a network into smaller, isolated segments to control and limit the flow of traffic between devices, systems, and applications. By segmenting networks, organizations can reduce the attack surface, restrict lateral movement by adversaries, and protect critical assets from compromise. Effective network segmentation leverages a combination of physical boundaries, logical separation through VLANs, and access control policies enforced by network appliances like firewalls, routers, and cloud-based configurations. This mitigation can be implemented through the following measures: Segment Critical Systems: - Identify and group systems based on their function, sensitivity, and risk. Examples include payment systems, HR databases, production systems, and internet-facing servers. - Use VLANs, firewalls, or routers to enforce logical separation. Implement DMZ f…
MITRE mitigation sourceProtect sensitive information at rest, in transit, and during processing by using strong encryption algorithms. Encryption ensures the confidentiality and integrity of data, preventing unauthorized access or tampering. This mitigation can be implemented through the following measures: Encrypt Data at Rest: - Use Case: Use full-disk encryption or file-level encryption to secure sensitive data stored on devices. - Implementation: Implement BitLocker for Windows systems or FileVault for macOS devices to encrypt hard drives. Encrypt Data in Transit: - Use Case: Use secure communication protocols (e.g., TLS, HTTPS) to encrypt sensitive data as it travels over networks. - Implementation: Enable HTTPS for all web applications and configure mail servers to enforce STARTTLS for email encryption. Encrypt Backups: - Use Case: Ensure that backup data is encrypted both during storage and transfer to…
MITRE mitigation sourceMITRE detection strategies and analytics
- AN1476 · Analytic 1476 — Detects anomalous wireless connections such as unexpected SSID associations, failed or repeated authentication attempts, and connections outside of known geofenced networks. Defenders should monitor wireless connection logs and event codes for network discovery, authentication, and association events.
- AN1477 · Analytic 1477 — Detects unauthorized wireless associations by monitoring wpa_supplicant logs, NetworkManager events, and system calls related to interface state changes. Anomalies include repeated association failures, new SSIDs outside baselined values, and rogue AP connections.
- AN1478 · Analytic 1478 — Detects unauthorized Wi-Fi associations and SSID scanning activity using unified logs and airport command telemetry. Anomalies include rapid SSID switching, connections to unapproved SSIDs, or repeated authentication failures.
- AN1479 · Analytic 1479 — Detects rogue or suspicious wireless access attempts by monitoring firewall, WIDS/WIPS, and controller logs. Focus is on firewall rule changes, rogue AP detection, and anomalous MAC addresses connecting to access points.