Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

9 detections

Detects when a device connects to a wireless network SSID that has not been observed in the baseline over the previous 14 days.
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Shadows VMB@Vemorian_Mort
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Detections.ai Community
18 days ago
508
This rule detects potentially malicious Wi-Fi network enumeration or profile creation using 'netsh' or 'nmcli', as well as the loading of 'wlanapi.dll' by non-standard, unauthorized processes. Such activities can indicate an attempt by an adversary to discover, connect to, or exfiltrate data via nearby wireless networks.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
2015
Detects credential harvesting portals from evil twin Wi-Fi access points
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
002
This rule detects potentially malicious Wi-Fi network enumeration or profile creation using 'netsh' or 'nmcli', as well as the loading of 'wlanapi.dll' by non-standard, unauthorized processes. Such activities can indicate an attempt by an adversary to discover, connect to, or exfiltrate data via nearby wireless networks.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
This rule detects potential rogue DHCP servers on a wireless segment by looking for UDP traffic on port 67 (DHCP server port) with a specific DHCP message type (likely a DHCP offer or acknowledgement, indicated by '|02|' at offset 0). It uses a thresholding mechanism to trigger an alert if 3 such packets are observed from the same source within 10 seconds, which helps to reduce false positives from single, isolated packets.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects a Deauthentication (Deauth) attack pattern, specifically targeting forced Wi-Fi reconnections. It triggers an alert when a high volume (50 or more) of TCP SYN packets are observed from a single source IP address within a 5-second window directed towards the home network. This pattern is indicative of an attacker attempting to flood a Wi-Fi network with deauthentication frames, forcing legitimate clients to disconnect and then reconnect, which can be exploited for various malicious purposes like capturing handshakes or facilitating man-in-the-middle attacks.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
This rule detects Address Resolution Protocol (ARP) poisoning attempts on a network segment, specifically looking for ARP reply packets (opcode 2). It uses a thresholding mechanism to trigger an alert if 10 such packets are observed from the same source within a 5-second window, indicating a potential malicious ARP spoofing activity.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects potential rogue captive portal credential harvesting pages by inspecting HTTP responses for the presence of keywords like 'captive', 'password', and 'connect' within the file data. These keywords, when found together in a client-bound HTTP response, suggest an attempt to mimic a legitimate captive portal to steal user credentials.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects attempts to capture credentials via an 'Evil Twin' access point by looking for HTTP POST requests to URIs containing both 'login' and 'wifi'. This combination suggests a malicious captive portal designed to trick users into submitting their credentials.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001