AWS CloudTrail Tamper Evidence Extractor
2.00 in cryptographic CloudTrail log file tampering breaches identified across across 2 items.
RSA signature failed cryptographic verification. Proves underlying JSON logs were altered post-creation under Rule 2.
Method1Verified SHA-256 digital signature chains using AWS official public verification keys.
2Assembled Federal Rule 902(14) self-authenticating digital evidence forensic report.
| Reference | Description | Integrity_Breaches |
|---|---|---|
| digest-2026-05-10T13 | Tampered CloudTrail Digest Signature Mismatch | 1.00 |
| digest-2026-05-10T14 | Broken CloudTrail Hash Chain Discontinuity | 1.00 |
AWS CloudTrail digest JSON files and S3 raw log delivery manifests, plus AWS public verification keys
Court-admissible cryptographically validated log integrity certificate and broken digest chain report (Resolution Dossier, Findings Schedule)
Open AWS CloudTrail Tamper Evidence Extractor on sample data now with no sign-up, then run your own files free for 14 days. $3,000 a month after that, cancel any time. 30% goes to the referring partner.
Read in memory for the session, never stored, never used to train a model.
Outputs are computed from your inputs and the tool's rules. Check them before you rely on them.
14 days on your own files, then $3,000 a month.
Open AWS CloudTrail Tamper Evidence Extractor on sample data now with no sign-up, then run your own files free for 14 days. $3,000 a month after that, cancel any time.
On a sample file: 2.00 in cryptographic CloudTrail log file tampering breaches identified across across 2 items.
Why not just use ChatGPT?
Rules that stay current: the rate cards, tariffs, code sets and regulations it checks against are kept up to date for you; a one-off prompt starts from nothing each time. Evidence that stands up: every finding cites the line, the file and the rule, so it holds up with a vendor, a payer or an auditor. The same answer every time: the checks are written rules, not a fresh guess, so this month's result can be compared with last month's. Nobody has to own it: no one inside has to build, test and maintain a home-made tool, and files are not pasted into a public chatbot.
Start on your own files
If you would rather talk it through, write to dev.sathya@baseloom.app; that reaches Dev Sathya, founder.