Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects attempts to exploit the Citrix NetScaler RCE vulnerability (CVE-2025-7775) by identifying a specific POST request to a vulnerable endpoint, followed by a GET request to verify code execution.
Detects network requests to common IP geolocation services, such as 'ip-api.com/json'. This is a known anti-analysis technique used by malware, including a loader associated with the Silver Fox APT group, to determine if it is running in a research or sandbox environment by checking the public IP address, ISP, and organization.
Detects a specific, outdated Internet Explorer user-agent string used by the UpCrypter malware for C2 communications. This User-Agent string is highly specific and outdated, making legitimate use extremely unlikely in modern environments.
Detects SQL injection attempts targeting FortiWeb (CVE-2025-25257) in HTTP GET requests to /api/fabric/device/status. The rule identifies known exploit payloads in the Authorization header, generic SQL injection patterns, and SQL statements like DROP, DELETE, INSERT, UPDATE, CREATE. It also detects known malicious source IPs targeting the vulnerable endpoint.
Detects outbound API calls to api.github.com for repository creation or file uploads matching patterns used in the s1ngularity supply chain attack.
Detects when a single Autonomous System Number (ASN) is associated with multiple organization names within a short time frame. This could indicate a rebranding or transfer of network blocks to evade sanctions or scrutiny, as seen with the Stark Industries threat activity enabler.
This KQL query detects network traffic to or from suspicious ports by joining firewall logs (CommonSecurityLog) with an external, regularly updated list of known suspicious ports. It specifically looks for accepted or passed connections to these ports, indicating potential exploitation attempts or unauthorized communication channels used by threat actors.
This rule detects an unusually high volume of DNS queries originating from a single device within a one-hour window. This behavior can be indicative of various malicious activities such as DNS tunneling for command and control, data exfiltration, or extensive reconnaissance.
This analytic detects activity associated with "Static Tundra" threat actor abuse of the Cisco Smart Install (SMI) protocol using Cisco Secure Firewall Intrusion Events. It leverages Cisco Secure Firewall Threat Defense IntrusionEvent logs to identify occurrences of Smart Install exploitation and protocol abuse, including denial-of-service and buffer overflow attempts. The detection triggers when multiple Cisco Smart Install-related Snort signatures are observed in a short period from the same source, which is indicative of active exploitation or reconnaissance against Cisco devices that expose SMI.
This detection rule identifies potential exploitation attempts of CVE-2024-36401, a JXPath injection vulnerability in GeoServer. Attackers can send malicious WFS, WMS, or WPS requests to achieve remote code execution. The rule looks for common GeoServer service paths and request types combined with Java code execution strings in web server or network logs.
This analytic identifies instances where an internal host has attempted to communicate with 250 or more destination IP addresses using the same port and protocol. Horizontal port scans from internal hosts can indicate reconnaissance or scanning activities, potentially signaling malicious intent or misconfiguration. By monitoring network traffic logs, this detection helps detect and respond to such behavior promptly, enhancing network security and preventing potential threats.
This analytic identifies instances where an internal host has attempted to communicate with 250 or more destination IP addresses using one of the NMAP top 20 ports. Horizontal port scans from internal hosts can indicate reconnaissance or scanning activities, potentially signaling malicious intent or misconfiguration. By monitoring network traffic logs, this detection helps detect and respond to such behavior promptly, enhancing network security and preventing potential threats.
Detects potential exploitation attempts against Ivanti Connect Secure devices for vulnerability CVE-2025-22457. This vulnerability is actively exploited in the wild. Attackers can send an abnormally long string composed of digits and periods in the 'X-Forwarded-For' HTTP header to trigger a stack-based buffer overflow, which can lead to remote code execution.
Detects network traffic associated with the Tycoon and ODx phishing kits, which are used in Attacker-in-the-Middle (AiTM) phishing campaigns to bypass MFA. The rule identifies connections to known malicious domains, IP addresses, and specific URLs used by these kits.
This rule detects successful network connections from external (internet) IP addresses to common Industrial Control System (ICS) ports, such as Modbus (502) and EtherNet/IP (44818). This activity could indicate unauthorized access attempts, reconnaissance, or exploitation of internet-exposed ICS assets. The rule specifically filters for allowed/accepted/permitted connections and excludes connections from RFC 1918 private IP addresses and a configurable list of authorized external IPs.
Detects a high volume of specific RPC calls from a single source to a single target, indicative of the TorpeDoS technique. This technique is used to cause a denial of service by overwhelming the target with memory-intensive RPC operations.
This rule consolidates multiple detections related to a widespread malspam campaign delivering the Nova infostealer. It hunts for activity across email, network, DNS, and firewall logs associated with known malicious domains, IPs, and specific TTPs like suspicious archive attachments from impersonated brands.
Detects network traffic to an ERMAC banking trojan exfiltration server by identifying a unique 'WWW-Authenticate' header in the HTTP response. This indicates a client device is communicating with a known ERMAC command and control server for data exfiltration.
The analytic detects when a Windows RDP client attempts to execute an RDP file from a temporary directory, downloads directory, or Outlook directories. This detection is significant as it can indicate an attempt for an adversary to deliver a .rdp file, which may be leveraged by attackers to control or exfiltrate data. If confirmed malicious, this activity could lead to unauthorized access, data theft, or further lateral movement within the network.
The following analytic detects unusual Remote Desktop Protocol (RDP) traffic on TCP/3389 by filtering out known RDP sources and destinations, focusing on atypical connections within the network. This detection leverages network traffic data to identify potentially unauthorized RDP access. Monitoring this activity is crucial for a SOC as unauthorized RDP access can indicate an attacker's attempt to control networked systems, leading to data theft, ransomware deployment, or further network compromise. If confirmed malicious, this activity could result in significant data breaches or complete system and network control loss.
This detection identifies potential usage of the Naabu port scanner by searching for its process execution or its specific network user-agent string. Naabu is a fast port scanner that can be used for network reconnaissance.
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