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The analytic is designed to identify blocked destinations within a network deemed as privacy risks by Zscaler. Utilizing Splunk search functionality, it processes web proxy logs, focusing on entries marked as Privacy Risk. Key data points such as device owner, user, URL category, destination URL and IP, and action taken are analyzed to enumerate the privacy risk destinations. This anomaly-type detection aids in monitoring and managing privacy risks, promoting a secure network environment.

  • Type: Anomaly
  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
  • Datamodel: Risk
  • Last Updated: 2023-10-30
  • Author: Gowthamaraj Rajendran, Rod Soto, Splunk
  • ID: 5456bdef-d765-4565-8e1f-61ca027bc50d




ID Technique Tactic
T1566 Phishing Initial Access
Kill Chain Phase
  • Delivery
  • DE.AE
  • CIS 10
`zscaler_proxy` action=blocked urlclass="Privacy Risk" 
|  stats count min(_time) as firstTime max(_time) as lastTime by action deviceowner user urlcategory url src dest 
| dedup urlcategory 
| `security_content_ctime(firstTime)` 
| `security_content_ctime(lastTime)` 
| `zscaler_privacy_risk_destinations_threat_blocked_filter`


The SPL above uses the following Macros:

:information_source: zscaler_privacy_risk_destinations_threat_blocked_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Required fields

List of fields required to use this analytic.

  • action
  • threatname
  • deviceowner
  • user
  • urlcategory
  • url
  • dest
  • dest_ip
  • action

How To Implement

You must install the latest version of Zscaler Add-on from Splunkbase. You must be ingesting Zscaler events into your Splunk environment through an ingester. This analytic was written to be used with the "zscalernss-web" sourcetype leveraging the Zscaler proxy data. This enables the integration with Splunk Enterprise Security. Security teams are encouraged to adjust the detection parameters, ensuring the detection is tailored to their specific environment.

Known False Positives

False positives are limited to Zscaler configuration.

Associated Analytic Story


Risk Score Impact Confidence Message
8.0 10 80 Potential Privacy Risk Destinations from dest -[$dest$] on $src$ for user-[$user$].

:information_source: The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.


Test Dataset

Replay any dataset to Splunk Enterprise by using our tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range

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