Detection rules › Splunk
Fortinet Appliance Auth bypass
The following analytic detects attempts to exploit CVE-2022-40684, a Fortinet appliance authentication bypass vulnerability. It identifies REST API requests to the /api/v2/ endpoint using various HTTP methods (GET, POST, PUT, DELETE) that may indicate unauthorized modifications, such as adding SSH keys or creating new users. This detection leverages the Web datamodel to monitor specific URL patterns and HTTP methods. This activity is significant as it can lead to unauthorized access and control over the appliance. If confirmed malicious, attackers could gain persistent access, reroute network traffic, or capture sensitive information.
MITRE ATT&CK coverage
| Tactic | Techniques |
|---|---|
| Initial Access | T1133 External Remote Services, T1190 Exploit Public-Facing Application |
| Persistence | T1133 External Remote Services |
Rule body splunk
name: Fortinet Appliance Auth bypass
id: a83122f2-fa09-4868-a230-544dbc54bc1c
version: 10
creation_date: '2022-10-14'
modification_date: '2026-05-13'
author: Michael Haag, Splunk
status: production
type: TTP
description: |
The following analytic detects attempts to exploit CVE-2022-40684, a Fortinet appliance authentication bypass vulnerability.
It identifies REST API requests to the /api/v2/ endpoint using various HTTP methods (GET, POST, PUT, DELETE) that may indicate unauthorized modifications, such as adding SSH keys or creating new users.
This detection leverages the Web datamodel to monitor specific URL patterns and HTTP methods.
This activity is significant as it can lead to unauthorized access and control over the appliance.
If confirmed malicious, attackers could gain persistent access, reroute network traffic, or capture sensitive information.
data_source:
- Palo Alto Network Threat
search: |-
| tstats `security_content_summariesonly`
count min(_time) as firstTime
max(_time) as lastTime
FROM datamodel=Web WHERE
Web.url = "*/api/v2/cmdb/system/admin*"
Web.http_method IN ("GET", "PUT")
BY Web.http_user_agent
Web.http_method Web.url
Web.url_length
Web.src Web.dest
| `drop_dm_object_name("Web")`
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `fortinet_appliance_auth_bypass_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.
known_false_positives: |
GET requests will be noisy and need to be filtered out or removed from the query based on volume.
Restrict analytic to known publicly facing Fortigates, or run analytic as a Hunt until properly tuned.
It is also possible the user agent may be filtered on Report Runner or Node.js only for the exploit, however, it is unknown at this if other user agents may be used.
references:
- https://www.wordfence.com/blog/2022/10/threat-advisory-cve-2022-40684-fortinet-appliance-auth-bypass/
- https://www.horizon3.ai/fortios-fortiproxy-and-fortiswitchmanager-authentication-bypass-technical-deep-dive-cve-2022-40684/
- https://github.com/horizon3ai/CVE-2022-40684
- https://www.horizon3.ai/fortinet-iocs-cve-2022-40684/
- https://attackerkb.com/topics/QWOxGIKkGx/cve-2022-40684/rapid7-analysis
- https://github.com/rapid7/metasploit-framework/pull/17143
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 ("$dest$") | 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"
finding:
title: Potential CVE-2022-40684 against a Fortinet appliance may be occurring against $dest$.
entity:
field: dest
type: system
score: 50
analytic_story:
- CVE-2022-40684 Fortinet Appliance Auth bypass
asset_type: Network
cve:
- CVE-2022-40684
mitre_attack_id:
- T1190
- T1133
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
category: web
security_domain: network
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1190/fortigate/fortinetcve202240684.log
source: not_applicable
sourcetype: pan:threat
test_type: unit
Stages and Predicates
Stage 1: tstats
| tstats `security_content_summariesonly`
count min(_time) as firstTime
max(_time) as lastTime
FROM datamodel=Web WHERE
Web.url = "*/api/v2/cmdb/system/admin*"
Web.http_method IN ("GET", "PUT")
BY Web.http_user_agent
Web.http_method Web.url
Web.url_length
Web.src Web.dest
Stage 2: search
| `drop_dm_object_name("Web")`
Stage 3: search
| `security_content_ctime(firstTime)`
Stage 4: search
| `security_content_ctime(lastTime)`
Stage 5: search
| `fortinet_appliance_auth_bypass_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 |
|---|---|---|
Web.http_method | in |
|
Web.url | eq |
|