Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects command and control (C2) communication associated with the Lazarus Group's ScoringMathTea Remote Access Trojan (RAT). It specifically looks for HTTP traffic where the User-Agent header matches a known string used by this malware: 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/107.0.0.0 Safari/537.36 Edg/107.0.1418.42'. This User-Agent string attempts to masquerade as a legitimate Microsoft Edge browser.
Detects potential command injection attempts against Citrix NetScaler ADC and Gateway devices. This detection is based on the patterns described in a hypothetical proof-of-concept for CVE-2025-7775, which involves injecting shell commands and referencing sensitive system paths in HTTP requests.
Detects exploitation attempts targeting a code injection vulnerability in XWiki's SolrSearch macro (CVE-2025-24893). Attackers can inject malicious Groovy code through specially crafted requests to the SolrSearch endpoint, leading to unauthenticated remote code execution.
This rule detects outbound TLS connections to known temporary file sharing services, which can be indicative of data exfiltration. The rule inspects the Server Name Indication (SNI) field in TLS traffic for specific domain names associated with these services.
This rule detects Command and Control (C2) beaconing activity associated with the UNC1549 threat group and the LIGHTRAIL malware. It specifically looks for HTTP traffic with a URI containing '/news', an 'Upgrade: websocket' header, and a distinct User-Agent string 'Mozilla/5.0 (Windows NT 10.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.135 Safari/537.36 Edge/12.10136'. This combination of indicators suggests an attempt to tunnel C2 communications over HTTP, potentially masquerading as legitimate WebSocket traffic.
Detects when multiple distinct domains, where at least one is known malicious, share the same HTTP body SHA1 hash or favicon MD5 hash. This pattern is indicative of threat actor infrastructure reuse and templating, as described in analysis of campaigns like LaundryBear and FreeDrain.
When, for example, a printer, camera, IoT appliance, or other device suddenly makes outbound connections to countries such as China, Russia, or Iran, this may not be noise. The following detection helps identify connections from these specific device groups that we were not previously aware of and that could be exfiltrating information.
Detects large HTTP responses for URLs containing keywords associated with F5 BIG-IP configuration or archive files. This could indicate an attacker exfiltrating sensitive system configurations.
This rule detects TLS connections to domains associated with Gh0st RAT impersonation campaigns, specifically 'Campaign Trio' and 'Campaign Chorus'. It looks for specific strings ('i4tools', 'youdao', 'deepseek') in the TLS Server Name Indication (SNI) field, combined with top-level domains like '.top' or '.vip'. This pattern indicates potential command and control (C2) communication from Gh0st RAT malware.
This rule detects network connections to external hosts exhibiting a specific JARM fingerprint (27d40d40d00040d00042d43d00041df04c41293ba84f6efe3a613b22f983e6) that has been associated with a phishing campaign, specifically targeting Harbor Freight. JARM fingerprints are used to identify unique TLS server configurations, and this particular hash indicates a known malicious infrastructure.
Detects outbound HTTP GET requests consistent with Lumma Stealer's browser fingerprinting activity. This activity involves contacting a C2 endpoint at '/api/set_agent' with specific URL parameters ('id', 'token', 'description') to register the victim and gather system information.
This rule detects Command and Control (C2) communication associated with the Amatera Stealer malware. It specifically looks for TLS traffic where the Server Name Indication (SNI) field contains the string "aether100pronotification.table.core.windows.net". This SNI is considered bogus and indicative of Amatera Stealer's C2 activity.
DOS Sustained ICMP Flood Attempt
Suricata
This rule detects a sustained ICMP flood attempt, which is a type of Denial of Service (DoS) attack. It triggers an alert if more than 100 ICMP packets (type 8, echo request) are observed from an external network to the home network within a 10-second window, tracked per source IP. This indicates an adversary is attempting to overwhelm the target system or network with ICMP traffic.
This rule detects a high rate of ICMP echo requests from a single source to a server within the home network, indicating a potential Denial of Service (DoS) attack. It triggers an alert if more than 50 ICMP echo requests are observed from the same source within a 1-second interval.
This rule detects network traffic indicative of Kraken Ransomware activity, specifically looking for connections to Cloudflared tunnels. It identifies TLS SNI (Server Name Indication) containing '.trycloudflare.com', which is a domain used by Cloudflare for its tunnel services. This behavior is often leveraged by adversaries for command and control or data exfiltration, as it can help bypass traditional firewall rules and obscure the true destination of the traffic.
Detects FileFix campaigns that use clipboard manipulation functions in web pages to deliver malicious PowerShell commands. These campaigns often trick users into copying and executing payloads, sometimes involving steganography with image files.
This rule detects network traffic to specific JSON storage services (jsonkeeper.com, jsonsilo.com, npoint.io) that have been observed to be abused by the DPRK-linked 'Contagious Interview' threat actors for malware delivery. The detection is based on TLS Server Name Indication (SNI) patterns.
The query below correlates device inventory, IP assignment and network events to identify internal endpoints attempting to connect to routers — including whether they succeeded and via Web or Application access. Attack traffic often aligns with failed HTTP/HTTPS attempts or unknown device names.
PwnDrp Access
Sigma
Detects downloads from PwnDrp web servers developed for red team testing and most likely also used for criminal activity
This rule detects inbound HTTP requests containing the User-Agent string 'Salesforce-Multi-Org-Fetcher/1.0'. This specific User-Agent has been associated with data theft from Salesforce instances, as detailed in a Google Cloud blog post. The detection aims to identify potential malicious activity targeting web server applications, specifically Salesforce environments, where an attacker might be attempting to exfiltrate data.
This rule detects inbound HTTP requests containing the User-Agent string 'Salesforce-CLI/1.0'. This activity is considered suspicious as it may indicate reconnaissance or data theft attempts targeting Salesforce instances, potentially leveraging compromised credentials or systems. The presence of this specific User-Agent inbound to a network could be an indicator of malicious activity, as Salesforce CLI is typically used by developers and administrators for managing Salesforce organizations and is not expected to be seen in inbound traffic from external networks to internal systems.
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