Web-app SSRF reached the cloud metadata endpoint — workload role credentials likely stolen
A hard Cloud Infrastructure scenario on Cloud Metadata SSRF Credential Theft.
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Launches this exact scenario. One of 3 templates in this Track + Difficulty pool.
catalog id · cloud-metadata-ssrf-credential-theft
What this scenario practices, mapped to recognized frameworks.
Educational mapping only. Not a compliance attestation.
- Connect an app-layer SSRF to stolen cloud workload credentials
- Revoke the role session, patch the app, and scope the blast radius
- Unsecured Credentials: Cloud Instance Metadata API · Credential AccessT1552.005 · TA0006MappedHigh confidence
Trains response to workload role credentials retrieved from the cloud metadata service via an app SSRF.
- Valid Accounts: Cloud Accounts · Initial AccessT1078.004 · TA0001PartialMedium confidence
Trains scoping the stolen role session's use from an anomalous host.
- User Account ContainmentD3-UACMappedHigh confidence
Trains revoking the role session and invalidating the temporary credentials.
- Network Traffic AnalysisD3-NTAMappedMedium confidence
Trains detecting the server-side request to the internal metadata endpoint and anomalous role use.
- User Account PermissionsD3-UAPMappedMedium confidence
Trains confirming least privilege bounded what the stolen role could reach.
- Identity Management, Authentication, and Access Control · ProtectPR.AA · PRMappedHigh confidence
Trains controlling and revoking the workload role session after credential theft.
- Continuous Monitoring · DetectDE.CM · DEMappedHigh confidence
Trains detecting anomalous role-credential use against the app's normal egress.
- IR lifecycle phaseContainment, Eradication & RecoveryMappedHigh confidence
Trains revoking the session and fixing the SSRF plus metadata hardening as containment.
- IR lifecycle phaseDetection & AnalysisMappedHigh confidence
Trains correlating app and cloud logs to prove the app-to-metadata-to-role chain.
- Detecting Relevant Threats and TTPs3.AMappedHigh confidence
Trains the detection baseline that flags anomalous workload-credential use.
- Log Collection2.TMappedMedium confidence
Trains preserving app and cloud audit logs that together prove the incident.
- Application Software SecurityControl 16MappedHigh confidence
Trains fixing the SSRF in the application as part of containment.
- Access Control ManagementControl 6MappedMedium confidence
Trains scoping and revoking the workload role and shortening credential lifetime.