Last active
May 27, 2021 07:13
-
-
Save ross-spencer/ad51e6b29d8aa63440993aec07f2e307 to your computer and use it in GitHub Desktop.
Digitally signed documents in the govdocs selected corpus
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
govdocs_selected/PDF_1304/119596.pdf | |
govdocs_selected/PDF_1304/470680.pdf | |
govdocs_selected/PDF_997/475108.pdf | |
govdocs_selected/PDF_1304/475482.pdf | |
govdocs_selected/PDF_237/497449.pdf | |
govdocs_selected/PDF_1304/511649.pdf | |
govdocs_selected/PDF_997/518946.pdf | |
govdocs_selected/PDF_997/595453.pdf | |
govdocs_selected/PDF_1304/805594.pdf | |
govdocs_selected/PDF_997/866130.pdf | |
govdocs_selected/PDF_997/949949.pdf | |
govdocs_selected/PDF_1198/999150.pdf |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
govdocs_selected/PDF_1783/254330.pdf | |
govdocs_selected/PDF_627/021275.pdf |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Legacy documents that have been digitally signed to help researchers understand the preservation risks around digitally signed documents in a collection and how to treat those that may already be exhibiting issues, e.g. signatures no longer validating the document.
Method:
cat
andack
on Govdocs selected corpus for/Sig
at first, but finally settling on looking for strings matching the supported algorithms in the format.