Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
2,309 detections
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Detects outbound network traffic attempting to access lookalike subdomains mimicking Okta or Microsoft 365 identity provider login pages. This behavior is associated with adversary-in-the-middle (AiTM) phishing campaigns, such as those attributed to UNC6671, where attackers use spoofed infrastructure to capture user credentials and session tokens.
Detects potential unauthenticated Remote Code Execution (RCE) exploitation attempts targeting the IKEv2/ISAKMP VPN service on WatchGuard Firebox devices (CVE-2025-14733). The rule monitors UDP traffic on standard IKE ports 500 and 4500, looking for specific payload patterns and elevated data sizes consistent with exploitation attempts, coupled with a threshold to reduce noise.
Detects outbound HTTP requests to the Telegram Bot API associated with the malicious 'indexed-btree' npm package. The rule specifically monitors for hardcoded Telegram bot tokens and chat IDs used for data exfiltration.
Detects outbound network traffic attempting to exfiltrate data to Slack or Telegram APIs using hardcoded bot tokens or channel identifiers associated with the 'indexed-btree' malware campaign.
Detects outbound network traffic attempting to exfiltrate data to Slack or Telegram APIs using hardcoded bot tokens or channel identifiers associated with the 'indexed-btree' malware campaign.
Detects outbound HTTP POST requests to known public Ethereum RPC gateways (Alchemy and Infura) containing embedded, hardcoded API keys or references to specific contract addresses associated with the 'indexed-btree' malware campaign. This pattern indicates a compromised host leveraging legitimate Web3 infrastructure for Command and Control (C2) communication.
Detects outbound HTTP POST requests to known public Ethereum RPC gateways (Alchemy and Infura) containing embedded, hardcoded API keys or references to specific contract addresses associated with the 'indexed-btree' malware campaign. This pattern indicates a compromised host leveraging legitimate Web3 infrastructure for Command and Control (C2) communication.
Detects network activity related to the SilverFox modular malware framework, including relay/dispatcher discovery, contact with known C2 infrastructure (noah-ssh.com.cn and Cloudflare Workers), and specific HTTP response patterns associated with its relay discovery process.
Detects outbound HTTP requests to known domains or domains following a specific URI pattern associated with the delivery of SilverFox malware payloads.
Detects incoming HTTP requests to the WSO2 admin API endpoint that utilize a JSON Web Token (JWT) with the 'alg=none' algorithm, indicating an attempt to bypass authentication via JWT token forgery (CVE-2026-5430).
Detects attempts to exploit a vulnerability in WSO2 API Manager and Traffic Manager that allows for authentication bypass by utilizing a malformed JWT with the 'alg=none' header. Attackers can leverage this to impersonate users or bypass security controls by providing a crafted Bearer token in the Authorization header.
Detects high-frequency outbound TCP connection attempts from a WSO2 API Gateway or Traffic Manager host to multiple sensitive internal management and administrative ports (22, 445, 3389, 5985, 5986). This behavior is indicative of a compromised gateway being used for lateral movement across the network.
Detects unauthorized exploitation attempts against the LiteLLM Model Context Protocol (MCP) endpoint. The rule monitors for a specific malformed Authorization header pattern (short, non-standard token) associated with CVE-2026-59822, indicating potential vulnerability scanning or exploitation of the service.
Detects successful exploitation attempts targeting Vite development servers via chained access-control bypass vulnerabilities (CVE-2025-30208, CVE-2025-31125, CVE-2024-45811). The rule identifies malicious GET requests using the /@fs/ endpoint with specific query parameters, resulting in a successful HTTP 200 response, while originating from non-internal IP addresses.
Detects successful exploitation attempts targeting Vite development servers via chained access-control bypass vulnerabilities (CVE-2025-30208, CVE-2025-31125, CVE-2024-45811). The rule identifies malicious GET requests using the /@fs/ endpoint with specific query parameters, resulting in a successful HTTP 200 response, while originating from non-internal IP addresses.
Detects incoming HTTP GET requests targeting Vite development server environments that utilize suspicious query parameters typically associated with vulnerability exploitation (e.g., directory traversal or sensitive file access). The rule specifically flags requests where the User-Agent string contains bot keywords but excludes verified IP ranges, suggesting an attempt to bypass security filters by spoofing crawler identities.
Detects incoming HTTP GET requests targeting Vite development server environments that utilize suspicious query parameters typically associated with vulnerability exploitation (e.g., directory traversal or sensitive file access). The rule specifically flags requests where the User-Agent string contains bot keywords but excludes verified IP ranges, suggesting an attempt to bypass security filters by spoofing crawler identities.
Detects high-volume bursts of HTTP GET requests against specific paths associated with a Vite development server (/@vite/client, /@fs/, /src/) on port 5173. This pattern is indicative of automated reconnaissance or vulnerability scanning targeting an exposed development environment.
Detects incoming HTTP requests attempting to exploit a path traversal vulnerability in the GitLab Commits API (CVE-2026-85706). The rule looks for URI patterns containing directory traversal sequences (e.g., ../) targeting the repository commits endpoint.
Detects outbound HTTP GET requests to a specific C2 domain 'luizestrelhashapr.online' masquerading as CSS file fetches. The request pattern uses a specific path '/google_api/' followed by predefined alphanumeric filenames, consistent with the KREMLIN malware browser extension's C2 polling mechanism.
Detects network communication with known Command and Control (C2) IP addresses associated with Phantom Stealer malware. This rule monitors both outbound connections from the internal network and inbound traffic from the identified malicious infrastructure.
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