Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
6,537 detections
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Detects network traffic indicative of the Diaoyu Loader downloading second-stage payloads from GitHub. The loader masquerades these payloads as image files within a WordPress-like directory structure.
This query hunts for network activity and other events related to specific domains (freefoodaid.com, wellnessmedcare.org) potentially associated with CVE-2026-21509. It searches DNS queries, network connections, generic web proxy/firewall logs, and URL click events to identify interactions with these domains.
Detects DNS lookups to known Out-of-Band Application Security Testing (OAST) domains. These are often used by attackers to verify successful exploitation of vulnerabilities like SSRF or RCE.
This detection identifies common web attack patterns including SQL Injection (SQLi), Cross-Site Scripting (XSS), and Local File Inclusion (LFI) by inspecting URL and POST data for specific malicious patterns. It looks for indicators such as script tags, onerror/onload attributes, javascript: URIs, alert() functions for XSS; SQL keywords like UNION SELECT, xp_cmdshell, sp_configure, and common SQLi bypass patterns for SQLi; and directory traversal sequences (../../, ..%2f..%2f), and sensitive file paths like /etc/passwd, /windows/win.ini, php://filter for LFI.
Detects DKnife attempting to discover network information by sending a POST request with a specific password hash to a router management interface. This activity is associated with the DKnife framework, a China-nexus gateway-monitoring tool.
ClawdBot C2 Network Communication
Cortex XDR
Detects network connections to known malicious ClawdBot command and control (C2) infrastructure based on specific IP addresses and hostnames.
Detects if the Fortinet firewall configuration has been exported.
Detects a high frequency of ICMP Echo Request (Type 8) packets, which could indicate a Denial of Service (DoS) attack.
This rule detects large volumes of outbound network traffic originating from Azure Kubernetes Service (AKS) clusters to external destinations over non-standard ports. It specifically looks for traffic allowed by Palo Alto firewalls, excluding common ports like 80 and 443, and flags transfers exceeding a defined data threshold (e.g., 100MB). This behavior can indicate data exfiltration attempts where adversaries use alternative protocols to bypass standard monitoring.
This query identifies URL access attempts that were blocked by CATO Networks security policies, based on logs in CommonSecurityLog. It allows for filtering by specific devices or target URLs.
Detects incoming network traffic from external IP addresses to common AI agent and model gateway ports (e.g., Ollama, vLLM, ClawdBot). This could indicate an exposed, unauthenticated service vulnerable to hijacking, potentially leading to unauthorized access or data exfiltration.
Chrysalis Backdoor Network IOCs
Cortex XDR
Detects network connections to known command and control (C2) infrastructure associated with the Lotus Blossom threat group and the Chrysalis Backdoor. This rule identifies suspicious outbound network activity to specific IP addresses and hostnames linked to this threat actor.
This rule identifies and aggregates blocked requests from Imperva WAF logs, grouping them by source IP address and then by the owning organization (ASN). It helps to detect and analyze potential attack campaigns or coordinated malicious activity originating from specific organizations or IP ranges. The rule focuses on security, session, and visitor blocks, providing details on attack names, query strings, referrers, and URLs.
Detects HTTP POST requests containing a JSON-RPC payload with the 'eth_call' method. This is often used by web-based crypto wallets or dApps to interact with the Ethereum blockchain, but can also be used by malicious JavaScript for activities like cryptojacking or wallet draining.
Detects network traffic to or from known IP addresses associated with TA584 command and control (C2) servers and hosting infrastructure. This actor is a known initial access broker, and infections can lead to ransomware.
Detects incoming network traffic from external IP addresses to common AI agent and model gateway ports (e.g., Ollama, vLLM, ClawdBot). This could indicate an exposed, unauthenticated service vulnerable to hijacking, potentially leading to unauthorized access or data exfiltration.
Detects network traffic to known Tier One Command and Control (C2) domains used by IPIDEA-affiliated SDKs (PacketSDK, CastarSDK, EarnSDK, HexSDK) for device enrollment and tasking.
This rule identifies network activity that could be indicative of command and control (C2) communication or reconnaissance. It specifically looks for two patterns: DNS queries to 'api.ipify.org', which is a service used to determine the public IP address, or outbound network connections on port 7712 to external IP addresses (excluding common private IP ranges). Both of these activities, especially when combined, can be associated with malicious software like the MonsterV2 C2 framework, which might use such methods for initial reconnaissance or C2 communication.
Detects attempts to exploit the Apache bRPC heap profiler command injection vulnerability, CVE-2025-60021. This is done by monitoring for HTTP GET requests to the `/pprof/heap` endpoint where the `extra_options` parameter contains shell metacharacters indicative of an RCE attempt.
Detects network connections to known C2 servers and payload delivery URLs associated with a PureRAT campaign. This activity is linked to a Vietnamese threat actor using AI to generate their toolset.
Detects network connections to domains identified as part of the IClickFix redirection infrastructure. These domains host the initial JavaScript payloads or act as part of the Traffic Distribution System (TDS).
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