Extreme Search

Extreme search enhances the Splunk platform search language. As implemented in Splunk Enterprise Security, you can use the Extreme search commands to:

• Build dynamic thresholds based on event data.
• Provide context awareness by replacing event counts with natural language.

For example, in the Enterprise Security Malware Center dashboard, the Key Security Indicator Total Infections displays the total number of systems with malware infections over the last 48 hours.

Splunk ES determines the displayed rate of change by comparing the current count of infections against the count of infected systems from the day before. There is no automatic determination of a normal daily range for infected systems in your environment. The threshold is entirely user-configured. Infections have increased by three, but the value has no context to indicate whether it is a notable increase.

The same indicator using Extreme search displays the relevant information, but includes a depth of information that was not available with the default Total Infections indicator.

Using Extreme Search, Splunk ES calculates the infection count and rate of new infections using a dynamically-updating model. The key security indicator uses contextual and easy-to-understand language. In this case you know that the total malware infection count is not higher than it would be any other day, and the rate of change in infections is not alarming.

The use of context and concept in Extreme search

The core ideas of context and concept are critical to the understanding of Extreme search. These ideas are responsible for the data model used for dynamic thresholds by an Extreme search command.

1. Context: A context defines a relationship to a field or data in numerical terms. The data to be modeled must be represented by numerical values as the result of a search. Example contexts include total network throughput over the last 24 hours or network latency over the last 24 hours.
2. # Concept: A term that applies to data, representing a qualitative rather than quantitative description. Example concepts include the terms "extreme," "high," "medium," "low," and "minimal".

By combining context and concept, Extreme search adds meaning and value to the data.

• The total network throughput over the last 24 hours was Extreme, high, medium, low, or minimal.
• The network latency over the last 24 hours was extreme, high, medium, low, or minimal.

The concept terms describe network activity in both examples, but have different meanings based on the context they are applied to. If your environment reports that total network throughput is minimal, it is a warning. If the environment reports that network latency is minimal, the network is operating normally.

Data models and Extreme search

After you choose a context and concept to represent your data, Splunk ES creates a data model. Using the Extreme search commands, the data model maps the context and event statistics by concept. Extreme search commands refer to this combined model as a context.

Saved searches update contexts, such as the dynamic threshold context. The saved search searches event data for statistics to update the context. For a list of the saved searches that update contexts, see Containers, contexts, and saved searches in this topic.

Configuring Extreme search for Enterprise Security

The use of Extreme search commands in Enterprise Security requires no additional configuration. The default installation of ES provides all contexts used by the Extreme search commands and enables the saved searches that maintain them.

• For a list of the contexts and saved searches implemented in Enterprise Security, see Containers, contexts, and saved searches in this topic.
• For a list of the key security indicators that use Extreme search, see Extreme Search Key Security Indicators in this topic.
• For a list of the correlation searches that use Extreme search, see Extreme Search Correlation searches in this topic. All correlation searches are disabled by default.

Extreme Search Correlation searches

All correlation searches in Enterprise Security are disabled by default. See Enable the correlation searches in this manual.

Guided Search Creation is not available for correlation searches that use Extreme search commands. These correlation searches use Extreme search.

Search Name	Context
Brute Force Access Behavior Detected	failures_by_src_count_1h
Brute Force Access Behavior Detected Over One Day	failures_by_src_count_1d
Abnormally High Number of Endpoint Changes By User	change_count_by_user_by_change_type_1d
Host Sending Excessive Email	recipients_by_src_1h
Substantial Increase in Events	count_by_signature_1h
Substantial Increase in Port Activity	count_by_dest_port_1d
Unusual Volume of Network Activity	count_30m
Abnormally High Number of HTTP Method Events By Src	count_by_http_method_by_src_1d

Extreme Search Key Security Indicators

You can easily identify the key indicators that use Extreme search by their use of semantic language instead of numerical values. The key security indicators on each dashboard are enabled by default.

Search Name	Contexts
Access - Total Access Attempts	authentication: count_1d, percentile
Malware - Total Infection Count	malware: count_1d, percentile
Risk - Median Risk Score	median_object_risk_by_object_type_1d, percentile
Risk - Median Risk Score By System	median_object_risk_by_object_type_1d, percentile
Risk - Median Risk Score By User	median_object_risk_by_object_type_1d, percentile
Risk - Median Risk Score By Other	median_object_risk_by_object_type_1d, percentile
Risk - Aggregated Risk	total_risk_by_object_type_1d, percentile
Risk - Aggregated System Risk	total_risk_by_object_type_1d, percentile
Risk - Aggregated User Risk	total_risk_by_object_type_1d, percentile
Risk - Aggregated Other Risk	total_risk_by_object_type_1d, percentile

Containers, contexts, and saved searches

Enterprise Security stores contexts in objects called containers. A container is both an object in the file system and a logical configuration used to classify contexts. In Enterprise Security, the containers are files with the .context extension. A container can contain multiple contexts. You can view the saved searches that generate contexts on the Content Management page in Enterprise Security.

Note: Enterprise Security enables the dynamic context saved searches by default.

Container name	Context name	App location	Dynamic context search name
authentication	failures_by_src_count_1h	SA-AccessProtection	Access - Authentication Failures By Source - Context Gen
	failures_by_src_count_1d		Access - Authentication Failures By Source Per Day - Context Gen
	count_1d		Access - Authentication Volume Per Day - Context Gen
change_analysis	change_count_by_user_by_change_type_1d	SA-EndpointProtection	Change - Total Change Count By User By Change Type Per Day - Context Gen
email	destinations_by_src_1h	SA-EndpointProtection	Endpoint - Emails By Destination Count - Context Gen
	recipients_by_src_1h		Endpoint - Emails By Source - Context Gen
malware	count_1d	SA-NetworkProtection	Endpoint - Malware Daily Count - Context Gen
ids_attacks	count_by_signature_1h	SA-NetworkProtection	Network - Event Count By Signature Per Hour - Context Gen
network_traffic	count_by_dest_port_1d	SA-NetworkProtection	Network - Port Activity By Destination Port - Context Gen
	src_count_30m		Network - Traffic Source Count Per 30m - Context Gen
	count_30m		Network - Traffic Volume Per 30m - Context Gen
web	count_by_http_method_by_src_1d	SA-NetworkProtection	Web - Web Event Count By Src By HTTP Method Per 1d - Context Gen
risk	median_object_risk_by_object_type_1d	SA-ThreatIntelligence	Risk - Median Object Risk Per Day - Context Gen
	total_risk_by_object_type_1d		Risk - Total Risk By Risk Object Type Per Day - Context Gen
default	percentile	SA-Utils	ESS - Percentile - Context Gen
default	height	Splunk_SA_ExtremeSearch	None.
	trendchange		None.
	compatibility		None.

Examples

For an extended walkthrough on a correlation search that implements Extreme search commands, see "An Extreme search example" in this manual.