Cloud Misconfiguration to Breach — An S3 Case Study

The Incident

In a production banking deployment, DKTrace detected an S3 bucket misconfiguration-to-breach chain and contained it in 4 minutes and 12 seconds. Here's the complete timeline.

T+0:00 — Misconfiguration Introduced

A developer pushes an infrastructure-as-code change that sets a sensitive data bucket ACL to public-read. CloudTrail records a PutBucketAcl event.

T+0:04 — CSPM Detects

DKTrace's cspm service (port 8115) polls CloudTrail every 60 seconds. The PutBucketAcl event is normalised to DCEM and evaluated against the CSPM rule library.

Rule CSP-AWS-S3-001 fires: "S3 bucket made publicly readable — contains sensitive data tag."

Actions:

T+2:17 — First External Access

A mass-scanner IP hits the bucket 2 minutes after the config change. GetObject events appear in CloudTrail. DKTrace's enrichment-engine identifies the source IP as a known data broker scanner (TI match: confidence 0.91, source: Shodan + GreyNoise correlation).

Alert upgraded to CRITICAL.

T+3:44 — Exfiltration Pattern Confirmed

The scanner downloads 847 objects in 87 seconds. DKTrace's nta-engine detects:

The correlation-engine links three events:

P1 incident created: "Cloud Data Exfiltration — S3 [bucket-name]"

T+4:12 — AUTO Playbook Response

Playbook CSPM-S3-Breach-001 AUTO tier executes:

✅ Apply private ACL to bucket (AWS SDK — instant)
✅ Snapshot CloudTrail logs (forensic preservation)
✅ Block scanner IP at WAF (AWS WAF rule auto-added)
✅ Notify CISO via PagerDuty

Post-Incident Summary