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| author | Adam Janovsky | 2021-04-16 17:03:02 +0200 |
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| committer | Adam Janovsky | 2021-04-16 17:03:02 +0200 |
| commit | f2b5ca19634c7d26f82a4285587929104fb1ee09 (patch) | |
| tree | a5fa2afdfd8a7a71fbc8d45cfc36f4619c043a9c | |
| parent | 84b593b67636f5b469e030eeec2e90e6ab01cd60 (diff) | |
| download | sec-certs-f2b5ca19634c7d26f82a4285587929104fb1ee09.tar.gz sec-certs-f2b5ca19634c7d26f82a4285587929104fb1ee09.tar.zst sec-certs-f2b5ca19634c7d26f82a4285587929104fb1ee09.zip | |
fix typo in examples readme
| -rw-r--r-- | examples/readme.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/examples/readme.md b/examples/readme.md index 4d78b121..66f43661 100644 --- a/examples/readme.md +++ b/examples/readme.md @@ -5,7 +5,7 @@ New object oriented API. The old one should not be used, unless you explicitly w To download and build whole dataset can take up to several hours. -## Manual CPE matching +## Manual CPE labeling The tool contains a fuzzy procedure that attempts to map [CPE names](https://nvd.nist.gov/products/cpe) to CC certificates. Result is a list of potentially promising matchings that should be manually evaluated by an analyst to obtain ground truth labeling. The analyst should run the file [cc_cpe_labeling.py](https://github.com/crocs-muni/sec-certs/blob/master/examples/cc_cpe_labeling.py) |