[Cryptech-Commits] [core/math/modexpng] 05/92: Updated readme file.

git at cryptech.is git at cryptech.is
Sat Mar 14 18:18:44 UTC 2020


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paul at psgd.org pushed a commit to branch master
in repository core/math/modexpng.

commit f1a80870c7a85f891b6671444d6e5d83750a11c3
Author: Pavel V. Shatov (Meister) <meisterpaul1 at yandex.ru>
AuthorDate: Sat Mar 23 10:51:05 2019 +0300

    Updated readme file.
---
 vector/README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/vector/README.md b/vector/README.md
index 1d3602b..3bd1853 100644
--- a/vector/README.md
+++ b/vector/README.md
@@ -4,7 +4,7 @@ ModExpNG
 Ranzomized test vector generation scripts for ModExpNG core model.
 
  * `vector_regenerate.py` generates a new random RSA keypair using OpenSSL. Each invocation overwrites the keypair, the old one is not retained. **Never use the generated keypair for anything outside of this model!**
- * `vector_format.py` processes the previously generated keypair. It first generates a "random" demo message to be signed, signs the message and checks the signature using Python's built-in math. If everything goes well, it writes the formatted test vector to a file.
+ * `vector_format.py` processes the previously generated keypair. It first generates a "random" demo message to be signed and a "random" blinding factor, signs the message and checks the signature using Python's built-in math. If everything goes well, it writes the formatted test vector to a file.
  * `vector_util.py` is a helper module.
  
-To obtain a test vector, optionally edit _KEY_LENGTH_ in `vector_regenerate.py` to set desired key length, then run the script to generate randomized key file. Then optionally edit _KEY_LENGTH_ in `vector_format.py` to match key length and change _RND_SEED_ to get a different demo message and run the script to obtain randomized test vector module.
+To obtain a test vector, optionally edit _KEY_LENGTH_ in `vector_regenerate.py` to set desired key length, then run the script to generate randomized key file. Then optionally edit _KEY_LENGTH_ in `vector_format.py` to match key length and change _RND_SEED_MESSAGE_ to get a different demo message and _RND_SEED_BLINDING_ to get a different blinding factor. Finally run the script to obtain randomized test vector module.



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