ID | Technique | Tactic |
---|---|---|
T1190 | Exploit Public-Facing Application | Initial Access |
T1133 | External Remote Services | Initial Access |
Detection: Windows Exchange Autodiscover SSRF Abuse
Description
This analytic identifies potential exploitation attempts of ProxyShell (CVE-2021-34473, CVE-2021-34523, CVE-2021-31207) and ProxyNotShell (CVE-2022-41040, CVE-2022-41082) vulnerabilities in Microsoft Exchange Server. The detection focuses on identifying the SSRF attack patterns used in these exploit chains. The analytic monitors for suspicious POST requests to /autodiscover/autodiscover.json endpoints that may indicate attempts to enumerate LegacyDN attributes as part of initial reconnaissance. It also detects requests containing X-Rps-CAT parameters that could indicate attempts to impersonate Exchange users and access the PowerShell backend. Additionally, it looks for MAPI requests that may be used to obtain user SIDs, along with suspicious user agents (particularly Python-based) commonly used in automated exploit attempts. If successful, these attacks can lead to remote code execution as SYSTEM, allowing attackers to deploy webshells, access mailboxes, or gain persistent access to the Exchange server and potentially the broader network environment.
Search
1
2| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime from datamodel=Web where (Web.status=200) AND Web.http_method=POST by Web.src Web.status Web.uri_path Web.dest Web.http_method Web.uri_query Web.http_user_agent
3| `drop_dm_object_name("Web")`
4| eval is_autodiscover=if(like(lower(uri_path),"%autodiscover/autodiscover.json%"),1,0)
5| eval has_rps_cat=if(like(lower(uri_query),"%x-rps-cat=%"),1,0)
6| eval exchange_backend=if(like(lower(uri_query),"%/powershell/?%"),1,0)
7| eval mapi=if(like(uri_query,"%/mapi/%"),1,0)
8| eval suspicious_agent=if(match(lower(http_user_agent), "python
9|urllib"),1,0)
10| addtotals fieldname=Score is_autodiscover, has_rps_cat, exchange_backend, mapi, suspicious_agent
11| where Score >= 3
12| fields Score, src, dest, status, uri_query, uri_path, http_method, http_user_agent
13| `windows_exchange_autodiscover_ssrf_abuse_filter`
Data Source
Name | Platform | Sourcetype | Source |
---|---|---|---|
Windows IIS | 'IIS:Configuration:Operational' |
'IIS:Configuration:Operational' |
Macros Used
Name | Value |
---|---|
security_content_summariesonly | summariesonly= summariesonly_config allow_old_summaries= oldsummaries_config fillnull_value= fillnull_config`` |
windows_exchange_autodiscover_ssrf_abuse_filter | search * |
windows_exchange_autodiscover_ssrf_abuse_filter
is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
Annotations
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 Notable | Yes |
Rule Title | %name% |
Rule Description | %description% |
Notable Event Fields | user, dest |
Creates Risk Event | True |
Implementation
To successfully implement this search you need to be ingesting information on Web traffic, Exchange OR IIS logs, mapped to Web
datamodel in the Web
node. In addition, confirm the latest CIM App 4.20 or higher is installed.
Known False Positives
False positives are limited.
Associated Analytic Story
Risk Based Analytics (RBA)
Risk Message:
Activity related to ProxyShell or ProxyNotShell has been identified on $dest$. Review events and take action accordingly.
Risk Object | Risk Object Type | Risk Score | Threat Objects |
---|---|---|---|
dest | system | 72 | No Threat Objects |
References
-
https://twitter.com/GossiTheDog/status/1575762721353916417?s=20&t=67gq9xCWuyPm1VEm8ydfyA
-
https://twitter.com/cglyer/status/1575793769814728705?s=20&t=67gq9xCWuyPm1VEm8ydfyA
-
https://owasp.org/Top10/A10_2021-Server-Side_Request_Forgery_%28SSRF%29/
-
https://m365internals.com/2022/10/18/hunting-and-responding-to-proxyshell-attacks/
Detection Testing
Test Type | Status | Dataset | Source | Sourcetype |
---|---|---|---|---|
Validation | ✅ Passing | N/A | N/A | N/A |
Unit | ✅ Passing | Dataset | ms:iis:splunk |
ms:iis:splunk |
Integration | ✅ Passing | Dataset | ms:iis:splunk |
ms:iis:splunk |
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: 4