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Data theft in a AWS environment

How a data theft attack could realistically chain together in a AWS environment, from initial access to business impact — and exactly what you should test to break the chain.

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AdvancedCustom web applications

Web application flaw to cloud credentials

A flaw in an internet-facing custom application is used to reach the workload's identity, harvest cloud credentials, and pivot into the wider cloud account where production data lives.

A flawThe workloadCloud permissionsProduction data
Data theftIntellectual-property theft
AdvancedCustom web applications

Source-control token to production environment

A leaked source-control token grants access to private repositories, where hardcoded secrets and CI/CD trust are used to reach and exfiltrate from the production environment and its source code.

A leakedSecrets andProduction isSource code
Intellectual-property theftData theft
IntermediateAWS

AWS access key to data exfiltration

A leaked long-lived AWS access key is used to enumerate the account, escalate through permissive IAM, and read and exfiltrate data from cloud storage and databases.

A leakedPermissions areData is
Data theft

Why chaining matters here

A scanner might flag each weakness in this environment in isolation. What determines whether data theft is actually achievable is whether those weaknesses — together with identities, trust relationships and gaps in monitoring — can be linked into a working path. That is what a red-team engagement validates, and what these chains are designed to help you scope.