Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects network activity associated with Adversary-in-the-Middle (AiTM) phishing kits that perform client-side fingerprinting and geolocation tracking. The rules identify the initial fingerprinting request, the subsequent setting of a geolocation cookie by the proxy, and the query to a third-party geolocation service, using state tracking to correlate the chain of events.
Detects network activity associated with the GhostCode kit's bot-filter challenge, which performs session token/hash chaining prior to a device-code phishing redirect. The rule monitors for specific URL patterns containing 'check=1' and a session identifier, coupled with a mandatory 'js_enabled=1' cookie, commonly used to filter automated security scanners and verify bot activity before serving malicious content.
Detects network activity associated with the GhostCode phishing campaign, which leverages themed pages (e.g., MailDashboard) and Cloudflare Turnstile to perform security bypass checks. The rules identify the initial access URI pattern, the presence of specific phishing content in the HTTP response, and the subsequent verification cookies used after the CAPTCHA solution.
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 network traffic (DNS, TLS SNI, and HTTP Host headers) attempting to communicate with infrastructure associated with the EvilTokens Phishing-as-a-Service (PhaaS) platform. This activity is indicative of credential harvesting or adversary-in-the-middle (AiTM) attacks.
Detects anomalous POST requests containing the 'CrpxBoundary' string sent to a '/relay.php' endpoint. This signature is associated with the pre-encryption data exfiltration phase of CRPx0 ransomware.
This rule detects incoming HTTP POST requests to the '/api/v1/validate/code' endpoint of a Langflow instance. The rule specifically looks for a JSON key 'code' containing a large, potentially base64-encoded string, which indicates an attempt to exploit CVE-2025-3248 to achieve unauthenticated remote code execution.
Detects high-volume account enumeration activity associated with the TeamFiltration tool, characterized by the use of legacy Microsoft Teams desktop client User-Agent strings (specific versions of Teams, Electron, and Chrome) within a short time window.
Detects network traffic patterns indicative of adversary-in-the-middle (AiTM) phishing infrastructure. The rule identifies suspicious TLS Server Name Indication (SNI) strings matching common SaaS login portals (Microsoft, Okta, Google) paired with SSL/TLS certificates issued by 'Let's Encrypt' that contain suspicious subject names, suggesting a freshly generated infrastructure for credential harvesting.
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 traffic attempting to exploit CVE-2021-33044, an authentication bypass vulnerability in Dahua NetKeyboard devices, by identifying specific login request strings used in the exploit chain.
Detects network traffic associated with the SilkParasite threat actor, specifically identifying the use of typosquatted domain names in TLS Server Name Indication (SNI) fields and a suspicious TLS CA certificate subject.
Detects outbound TCP traffic originating from internal hosts to known command and control infrastructure associated with the SilkParasite campaign and the SpiceRAT malware family.
Detects repeated authentication login attempts (opcode 0xA0) against Dahua Easy4IP devices over TCP port 37777, indicative of a brute-force or credential stuffing attack.
Detects outbound TCP traffic originating from internal hosts to known command and control infrastructure associated with the SilkParasite campaign and the SpiceRAT malware family.
Detects network activity related to the exploitation of the CVE-2025-31702 vulnerability in Dahua P2P Relay services. The rules monitor for probe attempts, device parameter fetching (randsalt), serial number enumeration bursts, and successful no-auth channel responses, indicating a bypass of authentication mechanisms on vulnerable Dahua devices.
This rule detects a specific network exploit attempt targeting Dahua devices (CVE-2021-33045), where an attacker attempts to bypass authentication by manipulating the login parameters, specifically by forcing the system to interpret requests as coming from the local loopback interface.
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.
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