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| author | Petr Svenda | 2019-12-08 22:04:28 +0100 |
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| committer | Petr Svenda | 2019-12-08 22:04:28 +0100 |
| commit | 4afd3ecc22021a3361ea89daf20cee230740a86f (patch) | |
| tree | a24480bf1619905b9f98c5b62c348e7fd209ea06 | |
| parent | fd871704ce306289689d1c6538111bc294c2d7ec (diff) | |
| download | sec-certs-4afd3ecc22021a3361ea89daf20cee230740a86f.tar.gz sec-certs-4afd3ecc22021a3361ea89daf20cee230740a86f.tar.zst sec-certs-4afd3ecc22021a3361ea89daf20cee230740a86f.zip | |
initial readme
| -rw-r--r-- | README.md | 19 |
1 files changed, 19 insertions, 0 deletions
diff --git a/README.md b/README.md new file mode 100644 index 00000000..86410b0d --- /dev/null +++ b/README.md @@ -0,0 +1,19 @@ +# sec-certs + +Analyzer of security certificates (Common Criteria, NIST FIPS140-2...) + +## Usage + +Steps: + 1. Run `search_certificate.py` to generate download scripts (download_cc_web.bat, download_cc_web.sh) + 2. Run `download_cc_web.bat` to download important files from Common Criteria website (requires `curl` installed) + 3. Run `search_certificate.py` to generate download scripts for separate pdf files with certificates (`download_active_certs.bat`...) + 4. Place all dowload scripts into folder on disk with at least 5GB free space (yes, there are A LOT of certificates) and run them + 5. Run `search_certificate.py` to process CSV, HTML and PDF files. Extracted information is stored in *.json files. The consolidated info is in `certificate_data_complete.json` + 6. Run `search_certificate.py` to analyze information extracted to `certificate_data_complete.json`. Information like graph of certificates dependency is produced + +## Extending the analysis + +The analysis can be extended in several ways: + 1. Additional keywords can be extracted from PDF files (modify `cert_rules.py`) + 2. Data from `certificate_data_complete.json` can be analyzed in novel way - this is why this project was concieved at first place |