Detections

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

2,146 detections

This rule detects network communication targeting specific external IP addresses associated with known SD-WAN infrastructure and common management endpoints (e.g., /dataservice/). This behavior may indicate an attempt to interact with, enumerate, or compromise SD-WAN controllers or managed edge devices.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects attempts to create rogue WordPress administrator accounts using indicators associated with the OptinMonster/TrustPulse supply chain attack. The rule specifically looks for POST requests to WordPress user creation endpoints (REST API, admin form, AJAX) containing campaign-specific identifiers like 'developer_api1', 'customer1usx', or patterns like 'dev_xxxxxx' in the response body or request URL. This covers the known vectors of the attack, aiming to identify the unauthorized creation of administrative users.
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Tim Peck@timpeck
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SecOps Signals
4 months ago
3036
This rule detects suspicious update requests to the Ghost CMS Admin API that indicate an attempt at dynamic script injection. It specifically looks for PUT requests to `/ghost/api/admin/posts/` containing markers associated with Base64 decoding (`atob(`) and dynamic DOM manipulation (`appendChild`, `createElement`), or specific strings (`ghost_once_footer_`, `btoa(a.origin)`) known to be used in the Ghost ClickFix attack chain. This activity suggests an attacker is attempting to inject malicious JavaScript into Ghost CMS content, potentially leveraging a vulnerability like CVE-2026-26980.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
108
Detects network activity associated with the 'Adblock for YouTube' Chrome extension (ID: cmedhionkhpnakcndndgjdbohmhepckk) as it retrieves malicious scripts from 'api.adblock-for-youtube.com'. These scripts are designed to access sensitive browser data, including session cookies, localStorage, and sessionStorage, and potentially interact with site-specific login form elements within the user's browser session.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects activity associated with malicious or intrusive browser extensions, specifically identifying network connections to a known malicious command-and-control (C2) endpoint, execution of specific scriptlet keywords related to MAIN-world injection in browser processes, and the presence of known 'BadBlocker' extension IDs on endpoints.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule identifies suspicious outbound network traffic potentially related to data exfiltration or command-and-control (C2) communication. It monitors for connections to the Telegram Bot API utilizing 'sendMessage' methods, often used by malware for exfiltrating credentials or sensitive data, as well as connections to known 'Bluekit' PhaaS (Phishing-as-a-Service) operator domains.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
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
Bharat Cyber Guardians
4 months ago
003
Detects unusually large FTP responses containing 'LIST' or 'NLST' commands, potentially indicating an attempt to exploit the Squidbleed vulnerability or similar data exfiltration over FTP. The rule specifically looks for network events on port 21 (FTP) where the action type is 'NetworkSignatureInspected' and the RemoteUrl contains either 'LIST' or 'NLST' with a string length greater than 4000 characters.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
003
This rule monitors network logs (DNS, Proxy, or general network traffic) for communication with TON (The Open Network) blockchain-related infrastructure, including known C2 domains associated with TONResolver and specific blockchain API queries. It flags connections made by suspicious processes such as node.exe, powershell, wscript, cscript, or mshta, which are often used by malware to execute scripts or facilitate C2 communication.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
This detection monitors for web requests to the specific URI path "/mifs/403.jsp". This path is known to be used by attackers to deploy a dormant Java-based webshell ("sleeper shell") on vulnerable Ivanti Endpoint Manager Mobile (EPMM) instances as part of an initial access campaign.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
005
This rule monitors network, proxy, and DNS traffic for connections to the domain 'perplexity-ai.online'. It identifies potentially suspicious activity by aggregating requests and distinguishing between general outbound traffic and traffic to specific endpoints, such as search queries that may indicate data exfiltration or reconnaissance.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects network communication associated with BeepRAT, specifically identifying direct TCP connections to a known command-and-control IP address on a non-standard port or DNS requests directed at a specific malicious domain.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects anomalous network activity originating from Firefox (firefox.exe). The rule flags connections to port 8765 (associated with specific browser-based exfiltration PoCs) and any outbound connection on non-standard ports (excluding common browser ports: 80, 443, 8080, 8443, 8888, 53) directed to public IP addresses.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects outbound network traffic associated with Djinn Stealer malware beaconing to a hardcoded C2 IP address (96.126.130.126) on port 58942. The detection specifically monitors for HTTP POST requests containing the malicious User-Agent 'telemetry-client/1.0' and 'application/octet-stream' content-type, which are characteristic of this stealer's exfiltration activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects network connections using the GRE (Generic Routing Encapsulation) protocol destined for non-internal (outside of RFC 1918) IP addresses. GRE is frequently used for tunneling traffic and, when used to communicate with external hosts, may indicate unauthorized tunneling or data exfiltration.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
002
This rule monitors for Generic Routing Encapsulation (GRE) network traffic originating from or destined to non-private (non-RFC1918) IP addresses. GRE is often used for tunneling protocols and can be abused to bypass network security controls or establish hidden command and control communication channels.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
002
Detects browser processes invoking internal extension schemes and subsequently generating high volumes of network requests to e-commerce or advertising-related domains/URLs, indicating potentially malicious browser extension behavior such as affiliate tag substitution or ad-injection.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects HTTP requests that include an 'Upgrade' header (specifically for websocket or h2c) in conjunction with a 'Content-Length' header. This combination can be used to perform HTTP Request Smuggling or protocol-specific request queue poisoning attacks, particularly against load balancers or proxy servers like nghttpx.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects deployment of phishing landing pages on attacker infrastructure
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
001
This rule monitors Cisco SD-WAN environment logs for indicators of unauthorized or suspicious control plane activity, including rogue peering attempts, unexpected NETCONF interactions, certificate mismatches, and unauthorized vBond/vSmart connections. It filters out known local management subnets and utilizes a threat intelligence lookup to identify potentially malicious infrastructure attempting to interface with the SD-WAN fabric.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
This rule detects administrative changes to Cisco SD-WAN environments, including policy pushes, template attachments, device onboarding, and tunnel modifications. It uses a risk-scoring mechanism based on the type of change and whether the activity occurs outside of standard business hours (06:00 to 22:00). High-risk events (score >= 65) trigger an alert, highlighting potential unauthorized infrastructure modifications or malicious device insertion.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
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