Detections

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

5,158 detections

Identifies network connections to algorithmically generated Cloudflare Workers domains used by Kali365, specifically targeting the `-s-account.workers.dev` format. This pattern is indicative of phishing campaigns, potentially for credential harvesting or token replay.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
5013
Detects Railway server OS leaking via User-Agent during automated token exchanges. This rule specifically looks for sign-in logs where the User-Agent string indicates a Linux x86_64 system and a Chrome browser version 145 or 146.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
2013
This rule detects potential exposure of API keys, tokens, or secrets within FTP directory listings. It specifically looks for network events on remote port 21 (FTP) where the 'RemoteUrl' contains keywords like 'api_key', 'apikey', 'token', 'secret', or 'key=' during a network signature inspection.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
005
Detects network events where FTP (port 21) traffic contains specific timestamp-like patterns in the RemoteUrl, which could indicate an attempt to exploit the Squidbleed vulnerability related to timestamp-to-filename parsing anomalies. The rule looks for 'LIST' command combined with '12:34:56', '2026-', or 'timestamp' in the URL.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
005
This rule detects network connections to remote URLs containing indicators associated with the XWorm Remote Access Trojan (RAT). It specifically looks for 'xworm', 'x-worm', 'wormx', or '/xworm' within the RemoteUrl field of DeviceNetworkEvents.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
106
This rule detects potential exploitation of the Squidbleed vulnerability by identifying network connections to FTP port 21 where the remote URL contains 'PASV' or 'EPSV' commands, and the initiating process is 'squid.exe'. This indicates an attempt to abuse FTP passive mode through the Squid proxy.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
005
Detects browser connections to the Bing Search by Image endpoint, which can be exploited as a Server-Side Request Forgery (SSRF) proxy to bypass Content Security Policies (CSP) and exfiltrate data, as seen in the SearchLeak attack. The rule specifically looks for connections to 'bing.com/images/searchbyimage' that also include the 'imgurl=' or 'imgurl%3d' parameter, indicating an attempt to use Bing's server-side image fetching capability.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
005
This rule detects network connections to known IP addresses associated with the FortiBleed vulnerability exploitation. These IP addresses have been categorized based on their observed roles in FortiBleed attacks, including C2, pentest lab, credential validation, and sniffer nodes. Monitoring these connections can help identify compromised systems communicating with FortiBleed infrastructure.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
005
This rule detects successful OAuth logins originating from IP addresses identified as residential proxies. This behavior can indicate an adversary attempting to bypass geo-restrictions or obscure their true location, potentially as part of a credential stuffing attack, account takeover, or to evade detection.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
005
This rule detects high-volume HTTP POST requests to the FortiGate SSL VPN logincheck URI, specifically '/remote/logincheck', over common HTTPS ports (443, 4433, 8443, 9443, 10443). It uses a threshold of 5 requests from the same source IP within 30 seconds to identify potential credential stuffing or password spraying attacks against FortiGate devices, often associated with the 'FortiBleed' campaign.
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
4 months ago
007
This rule detects a suspicious sequence of network connections indicative of information stealer activity, specifically targeting behaviors observed with malware like VVS Stealer. It identifies instances where a non-browser process, originating from common user-writable or temporary directories (AppData, Temp, Downloads, Users\Public), first connects to an external IP discovery service (ipify.org) and then subsequently communicates with Discord services (discord.com or discordapp.com) within a ten-minute window. This pattern suggests that malware is collecting the victim's public IP address before exfiltrating stolen data (e.g., account or browser information) to Discord infrastructure, often used as a command and control or data exfiltration channel by stealers.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
0010
This rule detects the use of JSON-RPC 'eth_call' by a non-browser process during network connection events. It specifically looks for network activity where the process is not a known web browser (Chrome, Edge, Firefox) and the network traffic or command line contains the string '"method":"eth_call"'. This behavior is often associated with malware like SessionGate, Remus, or AnimateClipper attempting dynamic command or address resolution related to blockchain interactions.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
005
Detects network connections originating from a Squid proxy process (squid.exe or processes containing 'squid' in their name) attempting to connect to an FTP server (port 21). This could indicate a reachability test or other activity related to the Squidbleed vulnerability, or general proxy misuse.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
205
Detects a behavioral pattern associated with CastleLoader's anti-analysis technique, where a process initiates a DNS query that fails (NXDOMAIN) and is immediately followed by a successful network connection to a different destination. This can indicate an attempt to check for sandboxing or sinkholing environments.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
108
Detects FTP protocol traffic (on port 21) initiated by a process named 'squid.exe' or containing 'squid' in its filename. This rule is designed to identify potential exploitation attempts related to the Squidbleed vulnerability, where a compromised Squid proxy might be used for unauthorized FTP communications.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
005
This rule identifies if a given IP address falls within the known IP ranges used by Apple's iCloud Private Relay service. It leverages an external CSV file containing these IP ranges for both IPv4 and IPv6. This can be used to detect or monitor traffic potentially obfuscated by iCloud Private Relay.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
008
Detects user agents associated with Tycoon2FA phishing-as-a-service (PHaaS) campaigns, specifically targeting credential relay (axios/1.13.x) and device code phishing (node/undici) variants. The rule identifies sign-in attempts from unmanaged and non-compliant devices using these specific user agents during a device code flow authentication.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
008
Detects network traffic fetching device codes from the Kali365 backend, specifically targeting the '/api/device/start' or '/api/device/status/' endpoints. This activity is associated with the EvilTokens device code phishing kit.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
6012
Detects a single host making Zulip REST API POST requests to multiple distinct topics, specifically looking for patterns associated with system profiling and command/tasking as observed in ZiChatBot. The rule identifies activity where a source IP uses the Zulip API to send messages to at least two different topics, with the raw request content indicating either 'channel/stream' and 'topic/subject' or keywords like 'system info', 'shellcode', 'task', or 'command'.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
009
Monitors for the use of 'sshpass' to automate SSH logins using specific accounts commonly associated with Oracle/PeopleSoft administration (psoft, oracle, linuxadm). This technique was observed in ShinyHunters attacks.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
007
Detects behavior patterns associated with the LCRYX ransomware, specifically lateral movement via WMI (wmic.exe), network subnet scanning, file copy operations to remote SMB shares, and the dropping or execution of VBScript artifacts on removable or non-system drives.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
203
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