Fresh build of Argon2 in Docker form, hit me on GitHub if this needs updated.
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A simple Docker repository to compile and make available the Argon2 hashing algorithm. It is built from the Alpine Linux Docker base image to minimize the size.
The latest image builds the 20190702 release of the P-H-C Winner Argon2 reference C implementation.
To get up and running, simply pull the image from Docker Hub:
$ docker pull abstractvector/argon2
By default, running the container will allow you to run argon2 or bench and execute a typical shell with sh.
$ docker run -it --rm abstractvector/argon2
The container is just a wrapper for the Argon2 reference C implementation, so look at the help for more information. For instance, after running the container as above, you can see the usage of argon2:
# argon2 -h
Usage: argon2 [-h] salt [-i|-d|-id] [-t iterations] [-m memory] [-p parallelism] [-l hash length] [-e|-r]
Password is read from stdin
Parameters:
salt The salt to use, at least 8 characters
-i Use Argon2i (this is the default)
-d Use Argon2d instead of Argon2i
-id Use Argon2id instead of Argon2i
-t N Sets the number of iterations to N (default = 3)
-m N Sets the memory usage of 2^N KiB (default 12)
-p N Sets parallelism to N threads (default 1)
-l N Sets hash output length to N bytes (default 32)
-e Output only encoded hash
-r Output only the raw bytes of the hash
-h Print argon2 usage
You can generate a hash by:
# echo -n "my_password" | argon2 some_salt
Type: Argon2i
Iterations: 3
Memory: 4096 KiB
Parallelism: 1
Hash: d5368947e4fbe50fbd1a146bb94542f115171ef187813fa15fb0a793c95b887c
Encoded: $argon2i$v=19$m=4096,t=3,p=1$c29tZV9zYWx0$1TaJR+T75Q+9GhRruUVC8RUXHvGHgT+hX7Cnk8lbiHw
0.002 seconds
Verification ok
Obviously the salt should be random and you'll want to specify some additional parameters. For example, to hash "password" with using a random salt and doing 10 iterations, consuming 64MB, using four parallel threads and an output hash of 32 bytes, you would execute:
# echo -n "password" | argon2 `head -c 32 /dev/urandom | base64` -t 10 -m 16 -p 4 -l 32
Type: Argon2i
Iterations: 10
Memory: 65536 KiB
Parallelism: 4
Hash: 9dcadd305d341e192047dc68524f9cd67fc4ccbcca7fff7535969374dca220da
Encoded: $argon2i$v=19$m=65536,t=10,p=4$eTllUmlGcVY5WXhmT00wbHJQd2JYVXF1UlpBQkwyU1Z0aWk5M2JVTGQyND0$ncrdMF00HhkgR9xoUk+c1n/EzLzKf/91NZaTdNyiINo
0.230 seconds
Verification ok
The Argon2 reference library also has a built-in benchmark suite. You can access this by running the bench command from within the container:
# bench
Or by passing it into docker run and overriding the command:
$ docker run -it --rm abstractvector/argon2 bench
The benchmark suite measures the execution time of different Argon2 configurations.
Content type
Image
Digest
Size
5 MB
Last updated
almost 5 years ago
docker pull leopere/argon2