The log file was clean—except for one thing. Buried deep in it, an unmasked email address sat in plain text.
When AWS S3 buckets are used for logging, even read-only roles can expose sensitive information if not properly sanitized. Email addresses in access logs are a common risk. They can slip in through request parameters, object metadata, or user-generated filenames. Once logged, those addresses may be synced to S3, replicated, or shared for troubleshooting—creating a breach of privacy and compliance risk.
The first step is to locate where these addresses appear. Search CloudTrail, application logs, and access logs stored in S3. Be aware that with read-only S3 roles, your exposure can extend to every file a role can access, even if it cannot write. Least-privilege settings help, but masking or redaction is the only way to truly remove the risk.
For masking email addresses in logs before they reach S3, integrate a preprocessing stage. When using Lambda functions or containerized log shippers, apply a regex filter to detect and replace patterns matching [a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-z]{2,}. Replace with a placeholder such as [REDACTED]. For CloudFront or ALB logs, stream them through Kinesis Data Firehose with a transformation Lambda that masks emails before writing to S3.