Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

7,276 detections

This rule detects network communication (via DNS queries, web logs, or device network events) with a list of known malicious domains associated with Command and Control (C2) activity.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
103
Detects the creation of a PostgreSQL replication slot using an unrecognized or potentially malicious logical decoding plugin. Adversaries may use custom or unauthorized plugins to exfiltrate database contents or intercept replication data streams, bypassing standard monitoring for common plugins like pgoutput or test_decoding.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
003
Detects the initialization of PostgreSQL logical replication slots using uncommon or unrecognized output plugins. Attackers may leverage logical replication plugins to exfiltrate data from a database by streaming changes as they occur, which can be an alternative to traditional mass-export techniques.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
003
Detects forged Citibank payment confirmation/account statement PDFs used in Phantom Deal BPC fraud to falsely demonstrate wire transfer progress; requires combination of bank branding with fraud-specific SWIFT/routing/CTA artifacts
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
000
Detects the loading of Linux kernel modules using insmod or modprobe from non-standard, writable directories such as /tmp, /var/tmp, /dev/shm, /home, /root, or /opt. This behavior is highly indicative of an adversary attempting to install a malicious kernel module or rootkit to gain persistence or privilege escalation, while bypassing standard package management paths.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
001
Detects Server-Side Request Forgery (SSRF) attempts against Grafana instances using the 'X-Grafana-URL' header. The rule identifies requests attempting to access internal network ranges, link-local addresses, or cloud metadata endpoints (e.g., 169.254.169.254, localhost) via the Grafana MCP interface, particularly when non-GET HTTP methods are used to potentially mutate internal resources.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
002
Detects unauthenticated attempts to invoke Grafana API tools via the Model Context Protocol (MCP) by utilizing spoofed Mcp-Session-Id headers while bypassing bearer token authentication requirements. This primarily targets unauthorized access to API functionality on Grafana instances configured with bearer-token authentication (v1.1.0+).
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
002
Detects incoming Grafana API requests directed at vulnerable mcp-grafana server instances identified by an outdated version (pre-1.1.0). This rule correlates host-level version discovery with application-layer logs containing suspicious 'grafana_api_request' method calls, which may indicate an attempt to exploit Server-Side Request Forgery (SSRF) vulnerabilities.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
002
This rule monitors for internal network connection attempts initiated by the 'mcp-grafana' process to destinations it has not contacted in the previous 14 days. By establishing a baseline of legitimate data source connections, the rule alerts when the process performs a rapid fan-out or discovery against multiple new internal hosts, which may indicate unauthorized network reconnaissance or lateral movement attempts by the Grafana service.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
002
Detects instances of an mcp-grafana server responding with an HTTP 200 status code to a 'tools/call' request without an Authorization header, indicating potential unauthenticated remote tool execution on a vulnerable or misconfigured server.
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Arnold Chan@slaz
Defender - KQL
2 months ago
002
Detects Server-Side Request Forgery (SSRF) attempts targeting vulnerable versions of Grafana MCP Server (versions < 1.1.0). The rule identifies requests attempting to access sensitive internal or cloud-metadata endpoints (e.g., 169.254.169.254, localhost, internal subnets) via the X-Grafana-URL header.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
002
Detects the creation of a Linux named pipe (mkfifo) used in conjunction with netcat (nc) to establish a reverse shell connection to a specific C2 IP address or port 3090. This combination of commands is a common technique used by attackers to achieve remote command execution.
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Ankit Mehta@Secvyn
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SlimKQL
2 months ago
000
Detects the creation of a Linux named pipe (mkfifo) used in conjunction with netcat (nc) to establish a reverse shell connection to a specific C2 IP address or port 3090. This combination of commands is a common technique used by attackers to achieve remote command execution.
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Ankit Mehta@Secvyn
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Hunters
2 months ago
000
Detects the presence of the known Cyclops Blink implant by file hash (SHA256) on an endpoint, followed by a network connection to associated C2 infrastructure within one hour, aligning with typical implant beaconing or file transfer behavior.
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Ankit Mehta@Secvyn
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SlimKQL
2 months ago
000
Detects the presence of the known Cyclops Blink implant by file hash (SHA256) on an endpoint, followed by a network connection to associated C2 infrastructure within one hour, aligning with typical implant beaconing or file transfer behavior.
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Ankit Mehta@Secvyn
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Hunters
2 months ago
000
Detects the execution of a Perl script 'package_info.pl' with specific arguments involving a temporary license file in '/var/tmp/'. This behavior is indicative of potential administrative tool abuse or unauthorized license manipulation/verification activity on Linux systems.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
000
Detects the execution of a Perl script named 'package_info.pl' with specific command-line arguments involving 'license.tmp' located in '/var/tmp/'. This pattern may indicate the execution of unauthorized tools, license bypass attempts, or potentially malicious scripts masquerading as legitimate license management utilities.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
000
Detects the execution of 'OmniQuery.pl' with command-line arguments indicative of direct database queries targeting sensitive authentication data (e.g., SELECT name, auth_data FROM users). This behavior suggests unauthorized access to database credentials or user information.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
000
Detects the use of shell commands ('bash', 'sh') to interact with potential configuration backup files or files containing sensitive system information (e.g., 'show_running-config.txt', 'show_version.txt'). This behavior is indicative of an adversary staging or accessing configuration data on a compromised system or network device.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
000
Detects potential remote code execution (RCE) attempts targeting vulnerable Sub-Store instances (versions < 2.38.2). The detection identifies web browsers making network connections to local ports (38324) associated with Sub-Store, followed by the spawning of shell processes (cmd, powershell, bash, sh) by the Node.js process hosting the application.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
002
Detects potential remote code execution (RCE) attempts targeting vulnerable Sub-Store instances (versions < 2.38.2). The detection identifies web browsers making network connections to local ports (38324) associated with Sub-Store, followed by the spawning of shell processes (cmd, powershell, bash, sh) by the Node.js process hosting the application.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
102
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