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Citrix ADC and Gateway Unauthorized Data Disclosure

The following analytic detects attempts to exploit the Citrix Bleed vulnerability (CVE-2023-4966), which can lead to the leaking of session tokens. It identifies HTTP requests with a 200 status code targeting the /oauth/idp/.well-known/openid-configuration URL endpoint. By parsing web traffic and filtering based on user agent details, HTTP method, source and destination IPs, and sourcetype, it aims to identify potentially malicious requests. This activity is significant for a SOC because successful exploitation can allow attackers to impersonate legitimate users, bypass authentication, and access sensitive data. If confirmed malicious, it could lead to unauthorized data access, network propagation, and critical information exfiltration.

MITRE ATT&CK

initial-access

Detection Query

| tstats count min(_time) as firstTime max(_time) as lastTime FROM datamodel=Web
  WHERE Web.url IN ("*/oauth/idp/.well-known/openid-configuration*")  Web.status=200
  BY Web.http_user_agent, Web.status Web.http_method,
     Web.url, Web.url_length, Web.src,
     Web.dest, sourcetype
| `drop_dm_object_name("Web")`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `citrix_adc_and_gateway_unauthorized_data_disclosure_filter`

Author

Michael Haag, Splunk

Created

2026-03-10

Data Sources

Suricata

Tags

Citrix NetScaler ADC and NetScaler Gateway CVE-2023-4966Scattered Lapsus$ Hunters
Raw Content
name: Citrix ADC and Gateway Unauthorized Data Disclosure
id: b593cac5-dd20-4358-972a-d945fefdaf17
version: 8
date: '2026-03-10'
author: Michael Haag, Splunk
status: production
type: TTP
data_source:
    - Suricata
description: The following analytic detects attempts to exploit the Citrix Bleed vulnerability (CVE-2023-4966), which can lead to the leaking of session tokens. It identifies HTTP requests with a 200 status code targeting the /oauth/idp/.well-known/openid-configuration URL endpoint. By parsing web traffic and filtering based on user agent details, HTTP method, source and destination IPs, and sourcetype, it aims to identify potentially malicious requests. This activity is significant for a SOC because successful exploitation can allow attackers to impersonate legitimate users, bypass authentication, and access sensitive data. If confirmed malicious, it could lead to unauthorized data access, network propagation, and critical information exfiltration.
search: |-
    | tstats count min(_time) as firstTime max(_time) as lastTime FROM datamodel=Web
      WHERE Web.url IN ("*/oauth/idp/.well-known/openid-configuration*")  Web.status=200
      BY Web.http_user_agent, Web.status Web.http_method,
         Web.url, Web.url_length, Web.src,
         Web.dest, sourcetype
    | `drop_dm_object_name("Web")`
    | `security_content_ctime(firstTime)`
    | `security_content_ctime(lastTime)`
    | `citrix_adc_and_gateway_unauthorized_data_disclosure_filter`
how_to_implement: This detection requires the Web datamodel to be populated from a supported Technology Add-On like Splunk for Apache, Splunk for Nginx, or Splunk for Palo Alto. We recommend hunting in the environment first to understand the scope of the issue and then deploying this detection to monitor for future exploitation attempts. Limit or restrict to Citrix devices only if possible.
known_false_positives: False positives may be present based on organization use of Citrix ADC and Gateway. Filter, or restrict the analytic to Citrix devices only.
references:
    - https://www.assetnote.io/resources/research/citrix-bleed-leaking-session-tokens-with-cve-2023-4966
    - https://github.com/assetnote/exploits/tree/main/citrix/CVE-2023-4966
drilldown_searches:
    - name: View the detection results for - "$dest$"
      search: '%original_detection_search% | search  dest = "$dest$"'
      earliest_offset: $info_min_time$
      latest_offset: $info_max_time$
    - name: View risk events for the last 7 days for - "$dest$"
      search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$dest$") starthoursago=168  | 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: $info_min_time$
      latest_offset: $info_max_time$
rba:
    message: Possible exploitation of Citrix Bleed vulnerability against $dest$ fron $src$.
    risk_objects:
        - field: dest
          type: system
          score: 50
    threat_objects:
        - field: src
          type: ip_address
tags:
    analytic_story:
        - Citrix NetScaler ADC and NetScaler Gateway CVE-2023-4966
        - Scattered Lapsus$ Hunters
    asset_type: Web Server
    atomic_guid: []
    mitre_attack_id:
        - T1190
    product:
        - Splunk Enterprise
        - Splunk Enterprise Security
        - Splunk Cloud
    security_domain: network
tests:
    - name: True Positive Test
      attack_data:
        - data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1190/citrix/cve-2023-4966-citrix.log
          source: not_applicable
          sourcetype: suricata