Cisco SA - Automated Web Reconnaissance via HTTP Access Errors
Description
This analytic detects probable automated web reconnaissance using Cisco Secure Access proxy telemetry. A high volume of HTTP client errors (401/403/404/etc) across many unique URLs in a short window is consistent with directory/file enumeration behavior generated by tools such as Gobuster, DirBuster, ffuf, or Burp Intruder. Detecting this pattern helps identify pre-exploitation scanning activity, insider reconnaissance, compromised endpoints performing discovery, and attempts to find hidden administrative paths, APIs, backups, and exposed application files.
Query · spl
`cisco_secure_access_proxy` | eval src_ip=coalesce(src_ip, src) | eval host=coalesce(hostname, host) | eval user=coalesce(user, identities) | eval status=tonumber(status) | eval domain=replace(url, "^https?://([^/]+).*$", "\\1") | eval user_agent=coalesce(http_user_agent, user_agent) | where status IN (400, 401, 403, 404, 405, 407, 414, 429, 431) | bucket _time span=10m | stats count as errors dc(url) as unique_urls values(status) as statuses values(user_agent) as user_agent values(host) as host values(user) as user by src_ip domain _time | where errors > 100 AND unique_urls > 50 | eval firstTime=_time, lastTime=_time | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | `cisco_sa___automated_web_reconnaissance_via_http_access_errors_filter`
Implementation guide
Ingest Cisco Secure Access proxy logs into Splunk using the Splunk Add-on for Cisco Security Cloud.
Update the cisco_secure_access_proxy macro so it resolves to the index, source, and sourcetype values used in your deployment.
Known false positives
- Aggressive web vulnerability scanners, QA automation, uptime monitoring, and authorized security assessments can generate high HTTP error volumes with large URL diversity. Tune by allow-listing known scanner hosts, user agents, test domains, and approved assessment windows using the filter macro.
Analyst notes
Known false positives: Aggressive web vulnerability scanners, QA automation, uptime monitoring, and authorized security assessments can generate high HTTP error volumes with large URL diversity. Tune by allow-listing known scanner hosts, user agents, test domains, and approved assessment windows using the filter macro.