Detections

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

743 detections

Detects network communication with known Command and Control (C2) IP addresses associated with Phantom Stealer malware. This rule monitors both outbound connections from the internal network and inbound traffic from the identified malicious infrastructure.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
002
Detects network communication with known Command and Control (C2) IP addresses associated with Phantom Stealer malware. This rule monitors both outbound connections from the internal network and inbound traffic from the identified malicious infrastructure.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
102
Detects inbound traffic, sign-ins, and email activity originating from the Anthropic IP range 160.79.104.0/21.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
004
Detects coordinated behavioral signals associated with the CVE-2025-25249 campaign, which deploys the PivotC2 Node.js RAT on FortiGate devices. The rule correlates anomalous inbound CAPWAP (UDP/5246) traffic, Node.js process execution, suspicious JavaScript file writes, and unauthorized access to Fortinet configuration files, followed by long-lived outbound TLS beacons to non-standard ports.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
3010
Detects potential unauthenticated Remote Code Execution (RCE) exploitation attempts targeting the IKEv2/ISAKMP VPN service on WatchGuard Firebox devices (CVE-2025-14733). The rule monitors UDP traffic on standard IKE ports 500 and 4500, looking for specific payload patterns and elevated data sizes consistent with exploitation attempts, coupled with a threshold to reduce noise.
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Arnold Chan@slaz
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Hunters
2 months ago
003
Detects anomalous SSH sessions originating from potentially suspicious IP addresses that utilize an 'SSH-2.0-Go' banner and immediately perform file creation operations associated with the RedTail botnet (e.g., shell scripts or architecture-specific binaries).
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Arnold Chan@slaz
Defender - KQL
2 months ago
004
Detects a suspicious sequence of events on a Linux host: first, the 'iptables' firewall rules are flushed (-F), followed by the creation of an inbound TCP listener on a high port (>1024) and the activation of that port via iptables, finally correlating this with a network listener process residing in temporary or suspicious directories such as /tmp, /var/tmp, or /dev/shm. This behavior is indicative of a potential backdoor installation or temporary listener setup for unauthorized access.
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Arnold Chan@slaz
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Hunters
2 months ago
003
Detects network traffic between internal hosts and a known malicious IP address on port 5556, characteristic of Go_RAT (hVNC) command and control communication. This rule monitors for established TCP connections to identify potential C2 beaconing or active remote management sessions by the GapiUpdate campaign.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
001
Detects unauthenticated HTTP POST requests targeting the FortiGate administrative API (/api/v2/), which may indicate exploitation attempts related to CVE-2025-25249. The rule specifically looks for requests lacking authentication headers (Cookie or Authorization).
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
001
Detects high-volume authentication attempts against Fortinet network appliances where multiple distinct source IPs successfully authenticate against multiple distinct accounts matching specific administrative naming patterns. This pattern is indicative of potential credential stuffing or brute-force campaigns targeting edge infrastructure.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
001
Detects high-volume authentication attempts against Fortinet network appliances where multiple distinct source IPs successfully authenticate against multiple distinct accounts matching specific administrative naming patterns. This pattern is indicative of potential credential stuffing or brute-force campaigns targeting edge infrastructure.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
001
Detects incoming HTTP requests to sensitive LiteLLM endpoints (/mcp and /guardrails) which are typically intended for internal or controlled use. Exposing these to the public internet may allow unauthorized individuals to interact with, enumerate, or exploit the LiteLLM framework's capabilities.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
003
This rule detects anomalous high-frequency, short-duration bursts of CAPWAP (Control and Provisioning of Wireless Access Points) traffic originating from external sources and targeting internal FortiGate devices. This behavior is indicative of automated exploitation attempts, specifically targeting known heap-grooming activities used in vulnerabilities like CVE-2023-27997, which rely on repetitive 'Add-Station' operations. Legitimate controller traffic is filtered by focusing on internal-to-internal communication patterns.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
107
Detects inbound HTTP traffic directed to internal hosts on ports other than commonly used web ports (80, 443, 8080, 8443, 8000, 8888, 3128). This behavior may indicate an attempt to bypass network security controls or the use of non-standard ports for command and control or data exfiltration.
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Ali AlEnezi@site
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Detections.ai Community
1 month ago
001
The following analytic detects the execution of the socat utility with command-line arguments that configure a TCP or OpenSSL listener and bind an executable to incoming connections.
Socat is a legitimate network utility, but this behavior may be used to expose executables, establish bind shells, facilitate remote command execution, or support lateral movement.
Splunk Security@SplunkSecurity
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Splunk Security Content
2 months ago
1011
Detects anomalous SSH authentication patterns characterized by a high volume of failed logon attempts (>= 10) originating from a specific IP address within a short timeframe (30 minutes), followed by a successful authentication to the same target device. This pattern is indicative of a successful credential brute-force or password guessing attack against an exposed SSH service.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
000
Detects instances where a development-oriented web server (such as Vite or Node.js) is configured to bind to all network interfaces ('0.0.0.0') and is simultaneously receiving inbound connections from non-private, external IP addresses on a common development port (5173). This rule filters out common CI/CD environments to focus on potentially insecure exposure of development tools to the public internet.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
001
Detects instances where a development-oriented web server (such as Vite or Node.js) is configured to bind to all network interfaces ('0.0.0.0') and is simultaneously receiving inbound connections from non-private, external IP addresses on a common development port (5173). This rule filters out common CI/CD environments to focus on potentially insecure exposure of development tools to the public internet.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
101
Detects network communication with known Command and Control (C2) IP addresses associated with Phantom Stealer malware. This rule monitors both outbound connections from the internal network and inbound traffic from the identified malicious infrastructure.
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Arnold Chan@slaz
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Hunters
1 month ago
101
This rule detects anomalous high-frequency, short-duration bursts of CAPWAP (Control and Provisioning of Wireless Access Points) traffic originating from external sources and targeting internal FortiGate devices. This behavior is indicative of automated exploitation attempts, specifically targeting known heap-grooming activities used in vulnerabilities like CVE-2023-27997, which rely on repetitive 'Add-Station' operations. Legitimate controller traffic is filtered by focusing on internal-to-internal communication patterns.
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Arnold Chan@slaz
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Hunters
2 months ago
002
Detects incoming HTTP requests to sensitive LiteLLM endpoints (/mcp and /guardrails) which are typically intended for internal or controlled use. Exposing these to the public internet may allow unauthorized individuals to interact with, enumerate, or exploit the LiteLLM framework's capabilities.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
002
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