Detection rules › Splunk
Zscaler Malware Activity Threat Blocked
The following analytic identifies potential malware activities within a network that are blocked by Zscaler. It leverages web proxy logs to filter for blocked actions associated with malware, aggregating occurrences by user, URL, and threat category. This detection is significant for SOC as it highlights attempts to access malicious content, indicating potential compromise or targeted attacks. If confirmed malicious, this activity could signify an ongoing attempt to infiltrate the network, necessitating immediate investigation to prevent further threats and ensure network integrity.
MITRE ATT&CK coverage
| Tactic | Techniques |
|---|---|
| Initial Access | T1566 Phishing |
Rule body splunk
name: Zscaler Malware Activity Threat Blocked
id: ae874ad8-e353-40a7-87d4-420cdfb27d1a
version: 10
creation_date: '2024-04-17'
modification_date: '2026-05-13'
author: Rod Soto, Gowthamaraj Rajendran, Splunk
status: production
type: Anomaly
description: The following analytic identifies potential malware activities within a network that are blocked by Zscaler. It leverages web proxy logs to filter for blocked actions associated with malware, aggregating occurrences by user, URL, and threat category. This detection is significant for SOC as it highlights attempts to access malicious content, indicating potential compromise or targeted attacks. If confirmed malicious, this activity could signify an ongoing attempt to infiltrate the network, necessitating immediate investigation to prevent further threats and ensure network integrity.
data_source: []
search: |-
`zscaler_proxy` action=blocked threatname=*malware* threatcategory!=None
| stats count min(_time) as firstTime max(_time) as lastTime
BY action deviceowner user
urlcategory url src
dest
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `zscaler_malware_activity_threat_blocked_filter`
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 Zscalar configuration.
references:
- https://help.zscaler.com/zia/nss-feed-output-format-web-logs
drilldown_searches:
- name: View the detection results for - "$src$" and "$user$"
search: '%original_detection_search% | search src = "$src$" user = "$user$"'
earliest_offset: $info_min_time$
latest_offset: $info_max_time$
- name: View risk events for the last 7 days for - "$src$" and "$user$"
search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$src$", "$user$") | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
earliest_offset: 7d
latest_offset: "0"
intermediate_findings:
entities:
- field: src
type: system
score: 20
message: Potential Malware Activity from dest -[$dest$] on $src$ for user-[$user$].
- field: user
type: user
score: 20
message: Potential Malware Activity from dest -[$dest$] on $src$ for user-[$user$].
threat_objects:
- field: url
type: url
analytic_story:
- Zscaler Browser Proxy Threats
asset_type: Web Server
mitre_attack_id:
- T1566
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
category: web
security_domain: threat
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1566/zscalar_web_proxy/zscalar_web_proxy.json
source: zscaler
sourcetype: zscalernss-web
test_type: unit
Stages and Predicates
Stage 1: search
`zscaler_proxy` action=blocked threatname=*malware* threatcategory!=None
Stage 2: stats
| stats count min(_time) as firstTime max(_time) as lastTime
BY action deviceowner user
urlcategory url src
dest
Stage 3: search
| `security_content_ctime(firstTime)`
Stage 4: search
| `security_content_ctime(lastTime)`
Stage 5: search
| `zscaler_malware_activity_threat_blocked_filter`
Indicators
Each row is a field, operator, and value that the rule matches. The corpus column counts how many other rules in the catalog look for the same combination: high numbers point to widely-used, community-vetted indicators. Blank or 1 shows that the indicator is specific to this rule.
| Field | Kind | Values |
|---|---|---|
action | eq |
|
sourcetype | eq |
|
threatcategory | ne |
|
threatname | eq |
|