Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects indicators associated with the 'Office Assistant' supply chain attack. It identifies malicious browser extensions by their IDs in file paths or names, and also detects known malicious file MD5s and C2 communication domains. The rule correlates file events and network events to provide a comprehensive view of the attack.
Detects outbound network traffic with a User-Agent header indicating the use of the Rust 'reqwest' HTTP client library. This User-Agent is used by the RustyWater implant, associated with the MuddyWater APT group, for command and control (C2) communications.
vvs-stealer
KQL
This rule detects activities associated with the VVS Stealer malware, as described in the Palo Alto Networks Unit 42 blog. It identifies the malware through specific SHA256 hashes of known VVS Stealer executables, network connections to hardcoded Discord webhook URLs used for exfiltration, persistence mechanisms via creation of executables in Windows startup folders, creation of '_vault.zip' files (likely containing stolen data), and suspicious Discord-related process activity indicative of the stealer's operation.
Detects indicators of React2shell exploitation originating from 'node' or 'next' processes on web-facing or internet-facing assets. This rule identifies suspicious network connections to common web ports (3000, 8080, 443, 80) or process executions containing command-line arguments indicative of prototype pollution exploitation (e.g., '__proto__', 'constructor:constructor', 'process.mainModule.require', 'execSync', 'vm.runInThisContext', 'fs.readFileSync') or common post-exploitation commands ('whoami', '/etc/passwd', 'id', 'env', 'hostname').
SleepyDuck Malware Etherhiding
Cortex XDR
This rule detects network connections to specific RPC addresses and a contract address associated with the SleepyDuck malware's Etherhiding technique. It filters for DNS queries containing known RPC domains and HTTP/network activity containing a specific Ethereum contract address. This indicates potential communication with the malware's command and control infrastructure for persistence.
Detects specific User-Agent strings associated with the DDoSia malware, which is used by the NoName057(16) hacktivist group for DDoS attacks. The rule looks for two distinct User-Agent patterns in HTTP traffic.
Detects network communication patterns
Detects HTTP C2 beaconing patterns based on burst request counts with small response bodies (1-499 bytes). This rule correlates multiple HTTP requests to the same destination within a short timespan, where each response has a small body size. This pattern is indicative of command and control (C2) communication.
Detects PowerShell making DNS requests for domains associated with less-reputable/uncommon TLDs. This behavior is not typical for legitimate administrative scripts and can indicate an attempt to download a payload from a malicious source.
This rule detects network connections from devices to a predefined list of known malicious domains. It identifies attempts by internal systems to communicate with command and control servers, phishing sites, or other infrastructure associated with threat actors.
This rule detects outbound network connections to domains associated with the Tykit malware family or domains matching a specific regular expression pattern often used for credential harvesting (e.g., 'loginmicr.s*.cc'). It leverages an external intelligence feed for known Tykit domains and a regex for common phishing/credential theft patterns.
This query identifies devices that have accepted inbound web traffic (ports 80/443) where the accepting process is IIS worker (w3wp.exe) or IIS Express (iisexpress.exe). It focuses on public IPv4 sources (excluding RFC1918/private, loopback, and IPv6), helping you surface internet-exposed web servers that are actively receiving external connections.
Detects outbound network connections to a list of IP addresses identified as high-confidence command and control (C2) infrastructure for the Clop ransomware group. This infrastructure has been observed across multiple campaigns, including the exploitation of vulnerabilities like CVE-2025-61882 (Oracle E-Business Suite), CVE-2023-34362 (MOVEit), and CVE-2023-0669 (GoAnywhere).
This rule query identifies likely post‑exploitation activity associated with React2Shell (CVE-2025-55182) in which Part 1 identifies web servers spawning unusual child processes (such as command shells or system utilities) combined with suspicious command-line patterns, which may indicate post-exploitation behavior following a compromise. and part 2 detects web servers making outbound network connections to known malicious IPs or hostnames, or to domains associated with tunneling services (e.g., trycloudflare.com), suggesting potential command-and-control activity or data exfiltration.
This rule detects PowerShell processes that are initiated by a LOLBAS binary and subsequently establish an outbound network connection to a public IP address. It leverages an external LOLBAS JSON data source to identify suspicious parent processes. This behavior could indicate an adversary using a Living Off The Land Binary or Script (LOLBAS) to execute PowerShell for malicious purposes, such as command and control or data exfiltration.
This rule detects suspicious network connections to known malicious URLs associated with a Docker Desktop malware campaign. It also identifies instances where 'DockerDesktop.exe' is executed or present in unusual file paths, suggesting potential masquerading or unauthorized deployment outside of its standard installation directory. The rule is broken into three parts: network events, file events, and process events. The network part looks for connections to specific malicious domains. The file and process parts look for 'DockerDesktop.exe' in folders other than the assumed legitimate installation path, indicating potential malicious activity.
This rule detects WebSocket C2 authentication attempts by the Frogblight mobile banking malware. It specifically looks for the hardcoded login key '{"login_key":"fg_a1b2c3d4e5f6"}' within TCP traffic destined for external networks.
Detects Indicators of Compromise (IOCs) associated with React2Shell (CVE-2025-55182) exploitation attempts. This includes network connections to known malicious IP addresses, DNS queries for attacker-controlled domains, process creations involving suspicious command-line arguments (often related to downloading or executing scripts/binaries), and file hashes of known malicious artifacts. The exploit activity is linked to C2 communication, data exfiltration, and potentially cryptomining activities.
Detects the ZinFoq Go-based post-exploitation implant. This rule identifies the binary based on a unique, hardcoded timestamp string used for its timestomping anti-forensics feature, along with other specific C2 artifacts.
This rule detects command and control (C2) beaconing activity associated with the SHADOW-VOID-042 malware family. Specifically, it looks for HTTP POST requests containing the string "get_module_hello" in the request body, which is indicative of a C2 communication pattern used by this malware.
DAI-SS EXPLOIT Possible React Exploit RCE Attempt Inbound (CVE-2025-55182)
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