Detections

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

289 detections

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
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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Detection & Hunting Community
2 months ago
004
Detects an attempt to exploit CVE-2026-24858 in FortiCloud SSO by sending a crafted SAML authentication request that lacks a signature. This vulnerability allows an attacker to bypass authentication by providing an unsigned SAML response.
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Arnold Chan@slaz
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Hunters
1 month ago
000
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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Hunters
1 month ago
000
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
Defender - KQL
2 months ago
003
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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SlimKQL
2 months ago
100
Detects command-and-control network traffic associated with the DEV#POPPER (Void Dokkaebi/Contagious Interview) RAT. The rule monitors for characteristic WebSocket heartbeat and notification calls to '/verify-human/' endpoints, data exfiltration requests to '/u/f', and outbound connections to known malicious C2 IP addresses.
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Emiliano Mema@Nosalva
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Detections.ai Community
2 months ago
007
Detects network connections, DNS resolutions, or TLS SNI values matching known TWINLOOT command-and-control infrastructure, including the attacker-registered domains sharepointx.th2ch.com and lpi-web.com and the failover IP 193.24.211.221. TWINLOOT is a modular Python implant that hides its C2 inside trusted Microsoft cloud services (Graph API, SharePoint Online, Teams TURN relay) while also relying on dedicated attacker-controlled infrastructure for direct TLS/WebSocket tunneling and failover.
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Duo Tech@duotech
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Detections.ai Community
2 months ago
3033
Detects outbound HTTP traffic indicative of pyCodeVx RAT check-in behavior. The rule identifies communication with ddnsfree.com C2 domains or requests containing the 'pyCodeVx' marker in the URL or User-Agent, coupled with a base64-encoded, fixed-format victim/session ID.
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Renata Cardoso@rcardososec
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Detections.ai Community
2 months ago
203
Detects instances where users successfully access websites categorized by FortiGuard as 'Artificial Intelligence Technology' without being blocked by the web filtering policy. This rule is intended to support organizational AI governance, data loss prevention, and intellectual property protection policies.
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Lucas Pinho@lucaslapinho
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Detections.ai Community
2 months ago
2012
Detects the creation of a new locally defined user account on a FortiGate device by monitoring configuration change logs. Unauthorized local accounts can be used to establish persistent, unauthorized access to network infrastructure.
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Lucas Pinho@lucaslapinho
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Detections.ai Community
2 months ago
107
Detects network traffic identified by FortiGate as Remote Desktop Protocol (RDP) that has been explicitly permitted (Accept action) by the firewall policy. This rule monitors for successful packet flow through the firewall, providing visibility into potential lateral movement paths via RDP.
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Lucas Pinho@lucaslapinho
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Detections.ai Community
2 months ago
007
Detects instances where FortiGate network security appliances report sustained high memory utilization exceeding a defined threshold. Elevated memory usage may indicate performance degradation, excessive traffic volume, or resource-intensive configuration, and can precede entering FortiOS conserve mode.
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Lucas Pinho@lucaslapinho
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Detections.ai Community
2 months ago
206
Detects FortiGate devices whose average reported CPU utilization exceeds 90 percent during the correlation window. Sustained CPU pressure can degrade firewall throughput, session establishment, inspection performance, and management responsiveness and should be investigated as a device-health condition.
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Lucas Pinho@lucaslapinho
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Detections.ai Community
2 months ago
105
Detects signs of exploitation against FortiOS/FortiProxy authentication bypass vulnerabilities (CVE-2024-55591 / CVE-2025-24472) consistent with Gunra ransomware activity. This rule monitors for administrative logins originating from non-management public IP addresses and identifies potential MFA bypass attempts through the reuse of identical one-time passcodes across multiple distinct accounts or sessions within a one-hour window.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
3 months ago
14021
Detects system events on FortiGate devices indicating that the FortiOS has entered 'conserve mode'. This state occurs when the system experiences high memory pressure, potentially triggering resource-protection mechanisms that can impact traffic processing, security inspection, and overall firewall stability.
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Lucas Pinho@lucaslapinho
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Detections.ai Community
2 months ago
003
Detects FortiGate web-filter events where access to selected high-risk or security-relevant FortiGuard categories was not blocked. The monitored categories include malicious websites, phishing, spam URLs, Dynamic DNS, peer-to-peer file sharing, and crypto-mining destinations. The event should be investigated according to the specific category and destination context.
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Lucas Pinho@lucaslapinho
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Detections.ai Community
2 months ago
003
Detects signs of exploitation against FortiOS/FortiProxy authentication bypass vulnerabilities (CVE-2024-55591 / CVE-2025-24472) consistent with Gunra ransomware activity. This rule monitors for administrative logins originating from non-management public IP addresses and identifies potential MFA bypass attempts through the reuse of identical one-time passcodes across multiple distinct accounts or sessions within a one-hour window.
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Ankit Mehta@Secvyn
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Detections.ai Community
3 months ago
629
Detects a successful FortiCloud SSO administrative login to a Fortinet appliance followed by the creation of a local administrator account from the same source IP and user within 15 minutes.

The query uses Fortinet CEF events available in CommonSecurityLog and correlates the appliance, administrative user, and source IP to reduce unrelated administrative activity. This behavior is associated with post-exploitation activity observed for CVE-2026-24858.

Bu sorgudaki temel saldırı zinciri, Microsoft Azure-Sentinel deposundaki
"CVE Exploitation Indicators on Network Appliance (3P)" hunting sorgusunda
bulunan FortiCloud SSO oturumu ile admin hesabı oluşturma korelasyonundan
esinlenilerek hazırlanmıştır.
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yasemin barutcu@yasemin
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SlimKQL 2026
3 months ago
11068
This detects a possible VPN brute-force or password-spray followed by successful authentication, where the same user has 5 failed SSL VPN login attempts followed by a successful tunnel-up event within 2 minutes.
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Syed Usfar Wasim@nCD24
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Detections.ai Community
3 months ago
15124
Detects anomalous network traffic patterns targeting FortiClient EMS systems, specifically on port 8013. This pattern is indicative of exploitation attempts related to CVE-2026-35616, where an external entity communicates with a vulnerable FortiClient EMS instance multiple times in a short window.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
9055
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