Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
338 detections
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This rule identifies potential brute force or password spraying attacks against network edge devices, such as firewalls and VPN gateways. It aggregates authentication failures and denied connection attempts by source IP address. The rule differentiates between brute force attacks, characterized by a high volume of failed attempts against one or more users from a single source, and password spraying, indicated by multiple unique usernames failing authentication from the same source.
This rule monitors network appliance logs (Fortinet, Cisco, Meraki, WatchGuard, Sophos) for patterns associated with known vulnerabilities, including authentication bypass (CVE-2022-40684), SQL injection, path traversal, and command injection attempts within URL parameters. It also flags high-severity IPS/IDS alerts generated by these devices.
This rule detects potential unauthorized or suspicious installation of an RMM (Remote Monitoring and Management) agent on a Windows host. It flags cases where a process performs multiple suspicious actions within a 24-hour window, specifically combining the installation or starting of a service related to an RMM agent, the creation of a Windows Firewall rule for the RMM agent executable, and/or the creation of log events related to the installer.
Detects repeated SSH authentication failures originating from an external source on port 22, where the username pattern appears to be programmatically generated or enumerated (e.g., username followed by digits). This behavior is characteristic of automated brute-force attempts targeting common SSH services.
Detects VPN/IKE negotiation failures characterized by certificate validation or parsing anomalies on Check Point Security Gateway or Spark firewall devices. These anomalies, when correlated with connections originating from known anonymization infrastructure (such as Tor exit nodes, proxies, or public VPN services), indicate potential exploitation attempts of the CVE-2026-85102 vulnerability, which allows for pre-authentication remote code execution via malformed certificate inputs.
This rule detects potential unauthorized or suspicious installation of an RMM (Remote Monitoring and Management) agent on a Windows host. It flags cases where a process performs multiple suspicious actions within a 24-hour window, specifically combining the installation or starting of a service related to an RMM agent, the creation of a Windows Firewall rule for the RMM agent executable, and/or the creation of log events related to the installer.
This rule monitors network appliance logs (Fortinet, Cisco, Meraki, WatchGuard, Sophos) for patterns associated with known vulnerabilities, including authentication bypass (CVE-2022-40684), SQL injection, path traversal, and command injection attempts within URL parameters. It also flags high-severity IPS/IDS alerts generated by these devices.
Detects the creation of new administrator accounts or super_admin profiles on network devices such as firewalls from Fortinet, Cisco, Meraki, WatchGuard, and Sophos. This rule monitors log messages indicating administrative account provisioning, which is a potential indicator of unauthorized account manipulation or persistence attempts.
Detects bulk or frequent modifications to firewall policies across various network vendor devices, including Fortinet, Cisco Meraki, WatchGuard, and Sophos. The rule identifies high volumes of policy changes within a 15-minute window or logs summary counts to highlight potentially unauthorized administrative activity.
This rule detects potential brute force activity against network infrastructure devices (firewalls/UTMs). It identifies a sequence where a specific Source IP records multiple failed authentication attempts within a 1-hour window, followed by a successful authentication attempt from the same IP address. This pattern suggests a successful compromise of an account via credential guessing.
This rule detects potential exploitation of CVE-2026-86134, a NULL pointer dereference vulnerability in WatchGuard Fireware. It identifies a burst of authentication-related requests (login, authd, management) targeting a device, followed by system logs indicating a service crash, daemon restart, or core dump within a short correlation window. This behavior is indicative of a Denial of Service attack.
Detects an abnormally high volume of configuration changes (15 or more within a 10-minute window) occurring on network appliances such as firewalls or security gateways, originated by a single source user or IP address. This behavior may indicate unauthorized administrative activity, mass policy updates, or malicious tampering.
Detects a single source IP initiating network connections to 50 or more distinct destination ports within a 60-second window, which is indicative of an automated port scanning sweep. The rule correlates individual connection events while excluding pre-defined allowlisted vulnerability scanners.
The following analytic detects file downloads involving executable, archive, or scripting-related file types that are commonly used in malware delivery.
These file types include formats like PE executables, shell scripts, autorun files, installers, and known testing samples such as EICAR.
This detection leverages Cisco Secure Firewall Threat Defense logs and enriches the results using a filetype lookup to provide context.
If confirmed malicious, these downloads could indicate the initial infection vector, malware staging, or scripting abuse.
These file types include formats like PE executables, shell scripts, autorun files, installers, and known testing samples such as EICAR.
This detection leverages Cisco Secure Firewall Threat Defense logs and enriches the results using a filetype lookup to provide context.
If confirmed malicious, these downloads could indicate the initial infection vector, malware staging, or scripting abuse.
This analytic detects intrusion events from known threat activity using Cisco Secure Firewall Intrusion Events.
It leverages Cisco Secure Firewall Threat Defense IntrusionEvent logs to identify cases where one or multiple Snort signatures
associated with a known threat or threat actor activity have been triggered within a one-hour time window. The detection uses a
lookup table (cisco_snort_ids_to_threat_mapping) to map Snort signature IDs to known threat actors and their techniques.
When multiple signatures associated with the same threat actor are triggered within the time window, and the count of
unique signatures matches or exceeds the expected number of signatures for that threat technique, an alert is generated.
This helps identify potential coordinated threat activity in your network environment by correlating related intrusion
events that occur in close temporal proximity.
Currently, this detection will alert on the following threat actors or malware families as defined in the cisco_snort_ids_to_threat_mapping lookup:
* AgentTesla
* Amadey
* ArcaneDoor
* AsyncRAT
* CastleRAT
* Chafer
* DCRAT
* LokiBot
* Lumma Stealer
* Nobelium
* Quasar
* Remcos
* Snake
* Static Tundra
* Xworm
To add or update threat actors, update the cisco_snort_ids_to_threat_mapping.csv lookup file with new or modified threat names and associated Snort signature IDs.
It leverages Cisco Secure Firewall Threat Defense IntrusionEvent logs to identify cases where one or multiple Snort signatures
associated with a known threat or threat actor activity have been triggered within a one-hour time window. The detection uses a
lookup table (cisco_snort_ids_to_threat_mapping) to map Snort signature IDs to known threat actors and their techniques.
When multiple signatures associated with the same threat actor are triggered within the time window, and the count of
unique signatures matches or exceeds the expected number of signatures for that threat technique, an alert is generated.
This helps identify potential coordinated threat activity in your network environment by correlating related intrusion
events that occur in close temporal proximity.
Currently, this detection will alert on the following threat actors or malware families as defined in the cisco_snort_ids_to_threat_mapping lookup:
* AgentTesla
* Amadey
* ArcaneDoor
* AsyncRAT
* CastleRAT
* Chafer
* DCRAT
* LokiBot
* Lumma Stealer
* Nobelium
* Quasar
* Remcos
* Snake
* Static Tundra
* Xworm
To add or update threat actors, update the cisco_snort_ids_to_threat_mapping.csv lookup file with new or modified threat names and associated Snort signature IDs.
Detects the creation or modification of Network Address Translation (NAT) rules, port forwarding settings, or virtual IP configurations across various enterprise firewall vendors. This could indicate an adversary attempting to establish persistent inbound access to an internal network segment, bypass network egress controls, or perform reconnaissance on accessible services.
Detects the modification of AWS Security Groups where management ports (SSH, RDP, WinRM, or common database ports) are opened to the entire internet (0.0.0.0/0 or ::/0). This activity is indicative of creating a network-layer backdoor to maintain persistence or facilitate lateral movement within a cloud environment.
Detects high-frequency web requests from a single source IP containing URI patterns associated with known vulnerability exploits (e.g., directory traversal, remote code execution, or path injection). This rule identifies potential mass exploitation attempts against public-facing web applications by monitoring firewall logs for a threshold of suspicious URI activity.
Detects high-volume outbound data transfers (exceeding 100MB) directed towards common cloud storage providers, file sharing services, and AI model endpoints. This behavior is indicative of potential data exfiltration by an adversary using legitimate web services to bypass traditional network security controls.
This rule detects potential exploitation of CVE-2026-86134, a NULL pointer dereference vulnerability in WatchGuard Fireware. It identifies a burst of authentication-related requests (login, authd, management) targeting a device, followed by system logs indicating a service crash, daemon restart, or core dump within a short correlation window. This behavior is indicative of a Denial of Service attack.
Detects network traffic permitted from zones typically associated with NetScaler appliances (DMZ, perimeter, VPN, gateway) to sensitive internal zones (internal, trust, LAN, corp) using common administrative or lateral movement protocols (SMB, RDP, WinRM, RPC, LDAP). This behavior is indicative of potential lateral movement or exploitation originating from a compromised edge appliance.
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