Browse Rules

Search and filter across all detection sources

13 rules

yara unknown yara

CRC32_table_lookup [crypto]

CRC32 table lookup

panther low python

BETA - Sensitive 1Password Item Accessed

Alerts when a user defined list of sensitive items in 1Password is accessed

signature-base unknown yara

SUSP_LNX_ByteEncoder_Jan25 [yara]

Detects Linux binaries that encode bytes by splitting them into upper and lower nibbles and mapping them to custom lookup tables, seen being used by SEASPY and Bluez backdoors

panther medium python

Okta AD Agent Authentication Anomaly - Z-Score Detection

Detects potential Okta AD Agent token theft and credential abuse using statistical z-score analysis. This detection uses a lookup table containing 90-day behavioral baselines for each user's AD Agent authentication patterns, then calculates z-scores to identify suspicious activity in the last 7 days. **PREREQUISITES:** 1. Baseline builder query must run first: `Query.Okta.ADAgentBaselineBuilder` 2. Lookup table must be configured: `okta_ad_pantherflow_baseline_90d` 3. Allow 24 hours for initia

splunk unknown spl

Kubernetes Process with Anomalous Resource Utilisation

The following analytic identifies high resource utilization anomalies in Kubernetes processes. It leverages process metrics from an OTEL collector and hostmetrics receiver, fetched via the Splunk Infrastructure Monitoring Add-on. The detection uses a lookup table with average and standard deviation values to spot anomalies. This activity is significant as high resource utilization can indicate security threats like cryptojacking, unauthorized data exfiltration, or compromised containers. If conf

splunk unknown spl

Kubernetes Process with Resource Ratio Anomalies

The following analytic detects anomalous changes in resource utilization ratios for processes running on a Kubernetes node. It leverages process metrics collected via an OTEL collector and hostmetrics receiver, analyzed through Splunk Observability Cloud. The detection uses a lookup table containing average and standard deviation values for various resource ratios (e.g., CPU:memory, CPU:disk operations). Significant deviations from these baselines may indicate compromised processes, malicious ac

splunk unknown spl

Prohibited Network Traffic Allowed

The following analytic detects instances where network traffic, identified by port and transport layer protocol as prohibited in the "lookup_interesting_ports" table, is allowed. It uses the Network_Traffic data model to cross-reference traffic data against predefined security policies. This activity is significant for a SOC as it highlights potential misconfigurations or policy violations that could lead to unauthorized access or data exfiltration. If confirmed malicious, this could allow attac

splunk unknown spl

Detect Remote Access Software Usage FileInfo

The following analytic detects the execution of processes with file or code signing attributes from known remote access software within the environment. It leverages Sysmon EventCode 1 data and cross-references a lookup table of remote access utilities such as AnyDesk, GoToMyPC, LogMeIn, and TeamViewer. This activity is significant as adversaries often use these tools to maintain unauthorized remote access. If confirmed malicious, this could allow attackers to persist in the environment, potenti

splunk unknown spl

Kubernetes Anomalous Inbound to Outbound Network IO Ratio

The following analytic identifies significant changes in network communication behavior within Kubernetes containers by examining the inbound to outbound network IO ratios. It leverages process metrics from an OTEL collector and Kubelet Stats Receiver, along with data from Splunk Observability Cloud. Anomalies are detected using a lookup table containing average and standard deviation values for network IO, triggering an event if the anomaly persists for over an hour. This activity is significan

splunk unknown spl

Monitor Email For Brand Abuse

The following analytic identifies emails claiming to be sent from a domain similar to one you are monitoring for potential abuse. It leverages email header data, specifically the sender's address, and cross-references it with a lookup table of known domain permutations generated by the "ESCU - DNSTwist Domain Names" search. This activity is significant as it can indicate phishing attempts or brand impersonation, which are common tactics used in social engineering attacks. If confirmed malicious,

splunk unknown spl

Detect GCP Storage access from a new IP

The following analytic identifies access to GCP Storage buckets from new or previously unseen remote IP addresses. It leverages GCP Storage bucket-access logs ingested via Cloud Pub/Sub and compares current access events against a lookup table of previously seen IP addresses. This activity is significant as it may indicate unauthorized access or potential reconnaissance by an attacker. If confirmed malicious, this could lead to data exfiltration, unauthorized data manipulation, or further compro

splunk unknown spl

Kubernetes Anomalous Inbound Outbound Network IO

The following analytic identifies high inbound or outbound network I/O anomalies in Kubernetes containers. It leverages process metrics from an OTEL collector and Kubelet Stats Receiver, along with data from Splunk Observability Cloud. A lookup table with average and standard deviation values for network I/O is used to detect anomalies persisting over a 1-hour period. This activity is significant as it may indicate data exfiltration, command and control communication, or unauthorized data transf

splunk unknown spl

Cisco Secure Firewall - Intrusion Events by Threat Activity

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 multipl