Back to evidence

Sanitized live incident

Reconnaissance

Native source identity and targetable endpoints are private.

mediumopen
Confidence
92%
First seen
Aug 21, 10:34:38 PM PDT
Evidence through
Aug 21, 11:21:24 PM PDT
AI status
Complete
Likely true positive90% confidence

The evidence strongly supports the detector's medium-severity reconnaissance classification: a single derived traffic cluster generated broad, unauthenticated HTTP route/method enumeration against target privatekind. The incident aggregate reports 65 requests across 48 unique paths, four methods, and seven path categories, while representative HTTP records show rapid probing of API endpoints with both 200 and 401 responses (for example, [redacted] and [redacted]). Authorization and actor identity remain unknown, so this could still be sanctioned testing or inventory activity. No process- or flow-plane references are cited by the incident, and the HTTP evidence does not establish exploitation or downstream compromise.

Attack stage
Reconnaissance — unauthenticated HTTP surface and method enumeration
Model
gpt-5.6-sol · 8 evidence calls

Observed impact

  • Observed impact is limited to application-surface probing; representative requests elicited both successful and authentication-required responses, which may reveal endpoint availability or access-control behavior [HTTP 6d585baf-d97d-4565-bt
  • No execution, persistence, lateral movement, command-and-control, or data theft is established by the available evidence; the incident provides no process- or flow-plane event references for consequence analysis.

Deterministic signals

Http.surface enumeration92%

Broad unauthenticated route and HTTP method enumeration observed

343 observations · 12 http

Explicit uncertainty

  • The source key identifies a traffic/workload cluster, not a verified person or agent; it may represent a proxy, NAT gateway, or multiple workers.
  • Network evidence does not establish whether the activity was unauthorized. The pattern could represent sanctioned security testing, monitoring, or inventory automation.
  • The incident cites no process- or flow-plane event references. Those tools therefore could not provide consequence evidence, and absence of cited telemetry must not be interpreted as proof that no such activity occurred.
  • Only bounded HTTP summaries are available; exact paths, headers, query strings, and raw response contents are unavailable, limiting assessment of what application information was exposed.

Recommended actions

  1. Confirm whether the source cluster and time window correspond to an approved scanner, penetration test, monitoring system, or inventory job.
  2. Review application and gateway logs for the full 65-request sequence, focusing on the endpoints that returned 200 and whether any sensitive content or state-changing behavior was exposed.
  3. If unauthorized, apply proportionate rate limiting or temporary source controls and monitor for follow-on authentication attempts or exploit patterns.
  4. Verify that sensitive API routes consistently require authentication and that unauthenticated responses minimize endpoint and implementation disclosure.
  5. Preserve the cited HTTP evidence and correlate with any independently available workload, identity, and network telemetry before escalating to a compromise investigation.