Windows Exchange Autodiscover SSRF Abuse

Original Source: [splunk source]
Name:Windows Exchange Autodiscover SSRF Abuse
id:d436f9e7-0ee7-4a47-864b-6dea2c4e2752
version:5
date:2025-03-24
author:Michael Haag, Nathaniel Stearns, Splunk
status:production
type:TTP
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.
Data_source:
  • -Windows IIS
search:
| 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
| `drop_dm_object_name("Web")`
| eval is_autodiscover=if(like(lower(uri_path),"%autodiscover/autodiscover.json%"),1,0)
| eval has_rps_cat=if(like(lower(uri_query),"%x-rps-cat=%"),1,0)
| eval exchange_backend=if(like(lower(uri_query),"%/powershell/?%"),1,0)
| eval mapi=if(like(uri_query,"%/mapi/%"),1,0)
| eval suspicious_agent=if(match(lower(http_user_agent), "python|urllib"),1,0)
| addtotals fieldname=Score is_autodiscover, has_rps_cat, exchange_backend, mapi, suspicious_agent
| where Score >= 3
| fields Score, src, dest, status, uri_query, uri_path, http_method, http_user_agent
| `windows_exchange_autodiscover_ssrf_abuse_filter`


how_to_implement: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.
References:
  -https://www.gteltsc.vn/blog/warning-new-attack-campaign-utilized-a-new-0day-rce-vulnerability-on-microsoft-exchange-server-12715.html
  -https://msrc-blog.microsoft.com/2022/09/29/customer-guidance-for-reported-zero-day-vulnerabilities-in-microsoft-exchange-server/
  -https://twitter.com/GossiTheDog/status/1575762721353916417?s=20&t=67gq9xCWuyPm1VEm8ydfyA
  -https://twitter.com/cglyer/status/1575793769814728705?s=20&t=67gq9xCWuyPm1VEm8ydfyA
  -https://www.gteltsc.vn/blog/warning-new-attack-campaign-utilized-a-new-0day-rce-vulnerability-on-microsoft-exchange-server-12715.html
  -https://research.splunk.com/stories/proxyshell/
  -https://docs.splunk.com/Documentation/AddOns/released/MSIIS
  -https://highon.coffee/blog/ssrf-cheat-sheet/
  -https://owasp.org/Top10/A10_2021-Server-Side_Request_Forgery_%28SSRF%29/
  -https://m365internals.com/2022/10/18/hunting-and-responding-to-proxyshell-attacks/
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:'$info_max_time$'
tags:
  analytic_story:
    - 'ProxyShell'
    - 'BlackByte Ransomware'
    - 'ProxyNotShell'
    - 'Seashell Blizzard'
  asset_type:Web Server
  cve:
    - 'CVE-2021-34523'
    - 'CVE-2021-34473'
    - 'CVE-2021-31207'
    - 'CVE-2022-41040'
    - 'CVE-2022-41082'
  mitre_attack_id:
    - 'T1190'
    - 'T1133'
  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/proxyshell/proxyshell.log
  source: ms:iis:splunk
  sourcetype: ms:iis:splunk
manual_test:None