New Keyword App

One of the most common requests I get from new customers is that they want to centrally collect all their machine generated time series data and search for a keyword like error or RuntimeException. Obviously Splunk can do this. Then, the next set of questions concern things like give me the top hosts or applications producing this keyword, show me a baseline of last week vs this week for this keyword, show me a slope line on the trend for this or any keyword(s), find outliers that go beyond the average occurrences for the keyword and then try to predict what may happen in the future.

To answer these questions and then some, I’ve created an app template that you can download from Splunkbase and simply install the Keyword App. The app has no inputs as it uses your own indexed data. You can modify the default indexes for the role that uses the app in Manager to include indexes beyond main. Usually, what I do next in these blog entries is describe how to use the app. However, in this case, a picture is worth a thousand words. Rather than continue to entertain you with my prose, I’ll simply embed the the self explanatory dashboards here.

Top Host, Sourcetype, Source

Top Host, Sourcetype, and Source for Keyword

Comparing Present Count vs. Past Count

Slope for Trend

Find Outliers

Predict Future Counts (Recession Predict is Jack Coate’s idea)

There’s a Donut Chart (Ron Naken’s Module) that allows you to split your list of keywords by top 10 host, source, or sourcetypes and see the distribution of events.

Split Keyword(s) Distribution by Top 10 Hosts, Source, or Sourcetype

Here are rare events based on your filter:

Rare

Finally, here are rare events based on punctuation.

Punct

Conclusion

Hopefully, this template will satisfy all your needs out of the box. If you need to modify the searches, make a copy of the app’s default/data/ui/views/<dashboard>.xml file and put it into the app’s local/data/ui/views/<dashboard>.xml file and edit your local copy. I’m hoping this app will save you some time from configuring these common tasks.

Related Articles

Breaking Down Linux.Gomir: Understanding this Backdoor’s TTPs
Security
8 Minute Read

Breaking Down Linux.Gomir: Understanding this Backdoor’s TTPs

The Splunk Threat Research Team provides an analysis of Linux.Gomir to help security analysts, blue teamers and Splunk customers defend against this threat.
Woken by Ransomware, Are We Hypnotized by Tunnel Vision?
Security
4 Minute Read

Woken by Ransomware, Are We Hypnotized by Tunnel Vision?

Splunker Ronald Beiboer examines if ransomware has blinded us to the more invisible attacks and how cybersecurity can help.
Introducing ShellSweepPlus: Open-Source Web Shell Detection
Security
14 Minute Read

Introducing ShellSweepPlus: Open-Source Web Shell Detection

Detect web shells easily with ShellSweepPlus, an open-source tool for detecting potential web shells. Learn how ShellSweepPlus works and how to use it here.
regreSSHion: Uncovering CVE-2024-6387 in OpenSSH - A Critical Vulnerability
Security
9 Minute Read

regreSSHion: Uncovering CVE-2024-6387 in OpenSSH - A Critical Vulnerability

CVE-2024-6387, aka "regreSSHion", exposes Linux environments to remote unauthenticated code execution. Learn how to handle this CVE here.
Splunk Ranked Number 1 in the 2024 Gartner® Critical Capabilities for Security Information and Event Management
Security
1 Minute Read

Splunk Ranked Number 1 in the 2024 Gartner® Critical Capabilities for Security Information and Event Management

Splunk was ranked as the #1 SIEM solution in all three Use Cases in the 2024 Gartner® Critical Capabilities for Security Information and Event Management report.
Staff Picks for Splunk Security Reading June 2024
Security
2 Minute Read

Staff Picks for Splunk Security Reading June 2024

Welcome to the June Splunk staff picks blog, featuring a list of presentations, whitepapers, and customer case studies that our Splunk Security experts feel are worth a read.
The Geometry of Fraud Detection
Security
8 Minute Read

The Geometry of Fraud Detection

Splunker Nimish Doshi shares statistical ways to find outliers and visualizes what they would look like if using virtual area or virtual volume as geometric representations to find them.
Zipf's Law and Fraud Detection
Security
4 Minute Read

Zipf's Law and Fraud Detection

Splunker Nimish Doshi breaks down Zipf’s Law to look for possible indicators of fraud.
Safe Passage: Seamless Transition Path for IBM QRadar Customers
Security
4 Minute Read

Safe Passage: Seamless Transition Path for IBM QRadar Customers

The SOC is where it all goes down and where dedicated SecOps teams work tirelessly to protect every digital corner of an organization.