Detection: Splunk XSS Via External Urls in Dashboards SSRF

Updated Date: 2024-10-17 ID: b0a67520-ae82-4cf6-b04e-9f6cce56830d Author: Rod Soto, Chase Franklin Type: Hunting Product: Splunk Enterprise Security

Description

This is a hunting search that provides elements to find possible dashboards created with external URL references in order to elicit Server Side Request Forgery from /data/ui/views endpoint.

1`splunkd_web` user=* uri_path="/*/manager/permissions/launcher/data/ui/views/*" file=* 
2| stats count min(_time) as firstTime max(_time) as lastTime by clientip user file host method uri_path uri_query 
3| `security_content_ctime(firstTime)` 
4| `security_content_ctime(lastTime)` 
5| `splunk_xss_via_external_urls_in_dashboards_ssrf_filter`

Data Source

Name Platform Sourcetype Source
Splunk Splunk icon Splunk 'splunkd_ui_access' 'splunkd_ui_access.log'

Macros Used

Name Value
security_content_ctime convert timeformat="%Y-%m-%dT%H:%M:%S" ctime($field$)
splunk_xss_via_external_urls_in_dashboards_ssrf_filter search *
splunk_xss_via_external_urls_in_dashboards_ssrf_filter is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Annotations

- MITRE ATT&CK
+ Kill Chain Phases
+ NIST
+ CIS
- Threat Actors
ID Technique Tactic
T1189 Drive-by Compromise Initial Access
KillChainPhase.DELIVERY
NistCategory.DE_AE
Cis18Value.CIS_10
APT19
APT28
APT32
APT37
APT38
Andariel
Axiom
BRONZE BUTLER
CURIUM
Daggerfly
Dark Caracal
Darkhotel
Dragonfly
Earth Lusca
Elderwood
Lazarus Group
Leafminer
Leviathan
Machete
Magic Hound
Mustard Tempest
PLATINUM
PROMETHIUM
Patchwork
RTM
Threat Group-3390
Transparent Tribe
Turla
Windigo
Windshift
Winter Vivern

Default Configuration

This detection is configured by default in Splunk Enterprise Security to run with the following settings:

Setting Value
Disabled true
Cron Schedule 0 * * * *
Earliest Time -70m@m
Latest Time -10m@m
Schedule Window auto
Creates Risk Event False
This configuration file applies to all detections of type hunting.

Implementation

Requires access to internal indexes.

Known False Positives

This is a hunting search and requires an operator to search for specific indicators of Server Side Request Forgery attack against /data/ui/views. It is not possible to grab display the payloads of such requests, so this search provides users, ip addresses, requests, files, and queries that may indicate malicious intent. There will be false positives.

Associated Analytic Story

Risk Based Analytics (RBA)

Risk Message Risk Score Impact Confidence
Possible SSRF attack from $clientip$ 5 10 50
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.

References

Detection Testing

Test Type Status Dataset Source Sourcetype
Validation ✅ Passing N/A N/A N/A
Unit ✅ Passing Dataset /opt/splunk/var/log/splunk/web_access.log splunk_web_access
Integration ✅ Passing Dataset /opt/splunk/var/log/splunk/web_access.log splunk_web_access

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

Source: GitHub | Version: 2