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3.0 KiB
3.0 KiB
Workflows - Container Escape Detection
Workflow 1: Real-Time Detection Pipeline
[Container Syscall] --> [eBPF/Kernel Module] --> [Falco Engine]
| |
v v
Syscall captured Rule evaluation
(setns, mount, |
ptrace, etc.) +-------------+-------------+
| |
v v
Match found No match
| (normal)
v
[Alert Generated]
|
+---------+---------+
| | |
v v v
Slack SIEM PagerDuty
Alert Log Incident
Workflow 2: Escape Attempt Investigation
Step 1: Triage alert
- Identify container, image, namespace
- Check if container is privileged
- Determine escape vector attempted
Step 2: Immediate containment
- kubectl delete pod <pod-name> -n <namespace> (if active escape)
- kubectl cordon <node> (if node compromised)
- Network isolate the node
Step 3: Forensic collection
- Capture container filesystem: docker export <id> > container.tar
- Collect Falco events for timeline
- Dump process tree: ps auxf
- Check for new processes on host
- Audit logs: ausearch -k container_escape
Step 4: Root cause analysis
- Was the container privileged?
- What capabilities were granted?
- Was Docker socket mounted?
- Which vulnerability was exploited?
Step 5: Remediation
- Patch kernel/runtime vulnerability
- Remove excessive capabilities
- Apply PSS restricted profile
- Update seccomp profiles
Workflow 3: Proactive Escape Surface Audit
[Inventory all containers] --> [Check for escape risk factors]
|
+-----------+-----------+
| | |
v v v
Privileged? Docker sock? Host NS?
CAP_SYS_ADMIN? mounted? hostPID?
| | |
+-----------+-----------+
|
v
[Risk Score per container]
|
+---------+---------+
| |
v v
HIGH risk LOW risk
Remediate Monitor
immediately continuously