Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
4,230 detections
Filters
Last updated
All Time
Detection languages
2,175
1,018
354
260
212
Contributors
1,013
818
688
574
212
Categories
20,456
11,839
5,876
5,155
4,865
4,230
Platforms
2,933
889
585
248
198
Products / Services
2,239
1,453
841
416
344
MITRE Techniques
1,164
1,087
870
798
439
CVEs
22
20
20
18
17
IDS Classtypes
927
408
222
146
104
IDS Protocols
1,914
105
70
47
6
Detects potential Adversary-in-the-Middle (AiTM) phishing activity by identifying requests to common tunneling services (e.g., ngrok, Cloudflare Tunnel) that include suspicious authentication or login-related URI paths, correlated with referrers from well-known email providers.
This rule detects unauthorized downloads of Tailscale VPN client binaries or related dependencies (such as wintun.dll) originating from a specific GitHub repository ('cphc811-ui'). Such activity is often associated with the Kothamine threat actor attempting to establish unauthorized remote access or command-and-control channels by provisioning VPN software on compromised hosts.
This rule detects unauthorized downloads of Tailscale VPN client binaries or related dependencies (such as wintun.dll) originating from a specific GitHub repository ('cphc811-ui'). Such activity is often associated with the Kothamine threat actor attempting to establish unauthorized remote access or command-and-control channels by provisioning VPN software on compromised hosts.
This rule detects unauthorized downloads of Tailscale VPN client binaries or related dependencies (such as wintun.dll) originating from a specific GitHub repository ('cphc811-ui'). Such activity is often associated with the Kothamine threat actor attempting to establish unauthorized remote access or command-and-control channels by provisioning VPN software on compromised hosts.
This rule detects unauthorized downloads of Tailscale VPN client binaries or related dependencies (such as wintun.dll) originating from a specific GitHub repository ('cphc811-ui'). Such activity is often associated with the Kothamine threat actor attempting to establish unauthorized remote access or command-and-control channels by provisioning VPN software on compromised hosts.
Detects network activity (DNS, HTTP, and direct IP connections) associated with known command-and-control infrastructure shared by SpiceRAT, NodeEdgeRAT, and NomadRAT malware, identified as part of the SilkParasite campaign.
Detects attempts to exploit CVE-2021-33044, an authentication bypass vulnerability in Dahua NetKeyboard hardware. The rule triggers when a POST request containing 'global.login', 'clientType: NetKeyboard', and 'loginType: Direct' is observed, which allows unauthorized access by manipulating authentication parameters.
This rule detects an attempt to exploit CVE-2021-33045, an authentication bypass vulnerability in certain Dahua products. An attacker can bypass authentication by sending a crafted HTTP POST request to the application, specifically using a loopback authentication type with a local IP address (127.0.0.1) in the login payload.
The following analytic identifies attempts to inject Log4Shell JNDI payloads via web calls. It leverages the Web datamodel and uses regex to detect patterns like `${jndi:ldap://` in raw web event data, including HTTP headers. This activity is significant because it targets vulnerabilities in Java web applications using Log4j, such as Apache Struts and Solr. If confirmed malicious, this could allow attackers to execute arbitrary code, potentially leading to full system compromise. Immediate investigation is required to determine if the attempt was successful and to mitigate any potential exploitation.
This rule detects an attempted authentication bypass vulnerability (CVE-2021-33045) targeting Dahua NetKeyboard devices. The exploit involves a specific HTTP request structure to the 'global.login' endpoint, where the 'loginType' parameter is set to 'Loopback' and the 'ipAddr' is set to '127.0.0.1', attempting to leverage internal loopback logic to circumvent authentication mechanisms.
Detects outbound network traffic attempting to interact with a specific Polygon smart contract address using eth_call. This behavior is indicative of the EtherHiding technique, where adversaries leverage blockchain infrastructure as a dead-drop resolver for command-and-control (C2) operations to bypass traditional network defenses.
This rule detects email activity involving DocuSign-themed messages that contain attachments and also coincide with URL click events that redirect users to Microsoft-related login portals (e.g., login.microsoftonline.com or teams.microsoft.com) containing 'redirect' or 'redirect_uri' parameters. This behavior is indicative of a phishing attempt designed to capture credentials or perform OAuth consent phishing by mimicking legitimate document-signing workflows.
Detects non-browser automated HTTP clients (e.g., Python, Wget, Curl, Scrapy) downloading audio/video files from corporate public-facing pages such as Investor Relations, Press Releases, and Executive profiles. This activity is indicative of malicious reconnaissance used to harvest voice or video samples for synthetic media (deepfake) creation for future social engineering or impersonation attacks.
Detects outbound HTTP requests to 'relay.php' that include the 'X-Captcha-Track: 1' header, which serves as a telemetry beacon for the CRPx0 ClickFix social engineering campaign. This activity is indicative of a user interacting with a malicious webpage designed to trick them into executing harmful commands via copy-paste actions.
Detects outbound HTTP requests to the Telegram Bot API (/sendMessage) which are often used by malware (such as 'Exvicy' or 'Small Sieve') for command and control or exfiltration notification, utilizing the Telegram bot token structure in the URI.
Detects an attempt to exploit a directive injection vulnerability in the SharePoint 'WebPartPages.asmx' SOAP web service, specifically targeting the 'GetWebPartPageConnectionInfo' method. The rule looks for suspicious 'Register' directives in the request body, which could lead to unauthorized code execution or configuration manipulation.
These rules detect various exploitation attempts targeting SharePoint to bypass SafeControls, an security mechanism used to restrict the types of controls allowed in web parts. The patterns match suspicious Register directives and markup injection techniques often associated with remote code execution or privilege escalation, as identified in CVE-2026-65660.
Detects HTTP POST requests directed to the '/api.php' endpoint with specific patterns characteristic of Exvicy/ClickFix malware C2 communication. The rule identifies suspicious action parameters (check, dl, or cb) and a specific 48-character hexadecimal 'k' parameter used for identifying infected state.
Detects outbound network traffic from internal hosts to a domain associated with the VelvetCake fileless malware variant. The rule specifically looks for HTTP requests to 'p1o2i3u4y5t6r7e8w9q0.medianewsonline.com' using specific login parameters ('Areyou=cake', 'OKey=', 'Who='), which is indicative of command and control activity linked to the Konni actor group.
Detects outbound HTTP POST requests to the 'vpugy.vcqi' domain, which is associated with RevStealer malware exfiltration. The rule specifically looks for traffic using a spoofed Chrome/147 user-agent and specific cookie artifacts used for session tracking in the exfiltration communication.
Hunts network, HTTP, and email-URL telemetry for known ARToken infrastructure (operator backend IPs and phishing/panel domains). Bounded to a 30-day lookback and tiers matches by confidence: domain hits are high-confidence (attacker-registered infrastructure), while IP hits are medium-confidence since the IPs sit on shared DigitalOcean hosting that can be reassigned to unrelated tenants once ARToken's infrastructure is taken down. Empty/unparsed indicator fields are excluded to avoid spurious matches in the HTTP event parsing branch. No known file hashes are associated with this intel.
Page 43 of 202


