Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
743 detections
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Detects a suspicious pattern where an inbound Microsoft Teams call or chat from an untrusted external guest tenant is followed within 30 minutes by a credential, MFA, or account-recovery action on the target user's account in Entra ID. This behavior is indicative of a vishing-over-Teams attack where an adversary impersonates IT support to facilitate unauthorized account recovery or MFA bypass.
Detects HTTP requests directed at edge appliances (FortiOS/FortiProxy, SonicWall, Cisco ASA) that match known CVE-associated URI paths, alongside successful administrative authentication to management or VPN interfaces originating from external source IP addresses. This rule is designed to identify potential initial access via vulnerability exploitation or unauthorized administrative login to critical infrastructure.
This rule detects potential exploitation of CVE-2026-86134, a NULL pointer dereference vulnerability in WatchGuard Fireware. It identifies a burst of authentication-related requests (login, authd, management) targeting a device, followed by system logs indicating a service crash, daemon restart, or core dump within a short correlation window. This behavior is indicative of a Denial of Service attack.
Detects a high volume of failed SSH password authentication attempts from a single source IP address against one or more target hosts within a short time window, which is indicative of an SSH brute-force attack.
Detects anomalous MS-DRSR DRSGetNCChanges requests occurring between hosts where the requester is not a recognized Domain Controller. This pattern is commonly used by attackers to perform a DCSync attack, allowing for the replication of sensitive Active Directory data such as user password hashes.
This rule detects reconnaissance activity targeting Azure App Service instances, specifically looking for attempts to access web-shell-like files, WordPress administration paths, PHP-CGI endpoints, or LangFlow code validation paths. It identifies potential Storm-3168 actor infrastructure through known IOCs or through patterns of high-volume, path-diverse HTTP requests that deviate from typical noise, helping to distinguish targeted probing from common internet background scanning.
Detects HTTP requests containing malicious JDBC strings targeting PaperCut NG/MF print management software, which are indicative of attempts to exploit authentication bypass and remote code execution vulnerabilities (CVE-2026-81578, CVE-2026-82078).
Detects systematic and high-frequency probing of internet-exposed LLM chatbot or API gateway endpoints. The rule monitors for sequences of requests, use of known prompt-infiltration or jailbreak testing toolkits, and varied path access indicative of automated reconnaissance or adversarial prompt engineering attempts.
Detects network activity related to the BEAST ransomware targeting VMware ESXi systems. The rule identifies attempts to stage encryption operations via SSH, including detecting references to known filenames ('encryptor.elf', 'beast_esxi') and the use of the 'vim-cmd' utility to power off virtual machines as part of the preparation for file encryption.
Detects incoming HTTP POST requests to the Zimbra OnlyOffice document handler containing path traversal sequences (e.g., '..'). This pattern is indicative of an attempt to exploit CVE-2026-93643 by manipulating document save or callback paths to access unauthorized files on the server.
This rule detects administrative or user activity within Azure via AzureActivity logs and web request patterns in AppServiceHTTPLogs that originate from a predefined list of known malicious IP addresses.
Detects potential command injection attempts or unauthorized access attempts directed at WatchGuard Access Point management interfaces, identified by suspicious strings typically used in exploitation payloads within device logs.
Detects malicious interactions with an unauthenticated Docker daemon API, specifically identifying the creation of privileged containers with host bind mounts, the deployment of containers with specific naming conventions for network reconnaissance (netns-probe/net-setup), subsequent container start events, and the use of the Docker exec API to perform host namespace escapes via nsenter.
Detects anomalous activity associated with the CARBONATO worm, specifically monitoring for unauthorized creation of 'net-setup' containers or pulling 'system/resolved' images via the Docker API port 2375. Additionally, the rule identifies rapid, sequential network scanning behavior targeting the Docker API port across internal IP ranges.
Detects anomalous Telnet (TCP port 23) traffic associated with Mirai-variant botnet propagation, such as scanning for new targets or inbound compromise attempts, often following cPanel/WHM vulnerabilities.
Detects network traffic involving TLS certificates or Server Name Indication (SNI) values that attempt to impersonate the Uzbekistan state railway authority (azure.uzrailwaystax.com). The rules also flag connections associated with certificates issued by 'TLC DV TLS CA' and known C2 infrastructure using the spoofed railway certificate.
Detects network traffic attempting to exploit the Dahua CVE-2021-33044 vulnerability, which allows an unauthenticated user to bypass authentication mechanisms on affected NetKeyboard devices.
Detects anomalous Telnet (TCP port 23) traffic associated with Mirai-variant botnet propagation, such as scanning for new targets or inbound compromise attempts, often following cPanel/WHM vulnerabilities.
Detects network traffic involving TLS certificates or Server Name Indication (SNI) values that attempt to impersonate the Uzbekistan state railway authority (azure.uzrailwaystax.com). The rules also flag connections associated with certificates issued by 'TLC DV TLS CA' and known C2 infrastructure using the spoofed railway certificate.
These rules monitor for suspicious WordPress authentication activity, including brute force and credential spraying attacks targeting XML-RPC endpoints and the standard wp-login.php interface. The rule set includes detections for high-frequency login attempts and subsequent indicators of potential successful authentication.
Detects repeated authentication login attempts (opcode 0xA0) against Dahua Easy4IP devices over TCP port 37777, indicative of a brute-force or credential stuffing attack.
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