BlaKE12: Blazing-fast KEccak on 12 rounds
KangarooTwelve is a fast and secure arbitrary output-length hash function which performs much better than hash and extendable output functions specified on FIPS 202 ( more @ https://dx.doi.org/10.6028/NIST.FIPS.202 ). KangarooTwelve ( aka K12 or BlaKE12 - see more @ https://blake12.org ) is built on top of round-reduced keccak-p[1600, 12] permutation. To be more specific KangarooTwelve can be implemented on top of TurboSHAKE - which is a family of extendable output functions, recently specified on https://ia.cr/2023/342. The sponge mode of KangarooTwelve uses 256 -bit wide capacity i.e. it can use TurboSHAKE128 as underlying construction. K12 possesses a built-in parallel hashing mode for long ( >=8KB ) messages which can efficiently be exploited by multiple-cores or SIMD instructions. Another important gain of K12 is that its parallel design doesn't impact performance when hashing short ( <8KB ) messages. KangarooTwelve is specified on https://keccak.team/files/KangarooTwelve.pdf.
Here I'm developing/ maintaining a Rust library which implements KangarooTwelve specification s.t. it implements non-incremental absorption API with arbitrary times squeeze support. In coming weeks, I plan to support incremental hashing API i.e. one can construct a K12 hasher object for absorbing message bytes arbitrary many times, then finalize using customization string, before squeezing bytes out of sponge state. See below for example, showing usage of K12 XOF API.
Rust stable toolchain; see https://rustup.rs for installation guide.
# When developing this library, I was using
$ rustc --version
rustc 1.68.0 (2c8cc3432 2023-03-06)For ensuring functional correctness of KangarooTwelve XOF's implementation, I use test vectors from section 4 ( on page 9 ) and Appendix A ( on page 17 ) of https://datatracker.ietf.org/doc/draft-irtf-cfrg-kangarootwelve. Issue following command to run test cases.
cargo test --lib # by default it's single-threaded
cargo test --lib --features multi_threadedIssue following command for benchmarking KangarooTwelve extendable output function's (XOF) implementation, for varying input sizes and fixed squeezed output size ( = 32 -bytes ).
RUSTFLAGS="-C opt-level=3 -C target-cpu=native" cargo bench # single-threaded absorption
RUSTFLAGS="-C opt-level=3 -C target-cpu=native" cargo bench --features multi_threaded # multi-threaded absorptionK12/1024/32 (cached) time: [1.5607 µs 1.5674 µs 1.5746 µs]
thrpt: [620.20 MiB/s 623.05 MiB/s 625.73 MiB/s]
Found 2 outliers among 100 measurements (2.00%)
2 (2.00%) low mild
K12/1024/32 (random) time: [1.6377 µs 1.6485 µs 1.6613 µs]
thrpt: [587.84 MiB/s 592.39 MiB/s 596.29 MiB/s]
Found 8 outliers among 100 measurements (8.00%)
7 (7.00%) high mild
1 (1.00%) high severe
K12/2048/32 (cached) time: [2.5271 µs 2.5323 µs 2.5378 µs]
thrpt: [769.61 MiB/s 771.29 MiB/s 772.86 MiB/s]
Found 6 outliers among 100 measurements (6.00%)
3 (3.00%) low mild
2 (2.00%) high mild
1 (1.00%) high severe
K12/2048/32 (random) time: [2.7143 µs 2.7763 µs 2.8618 µs]
thrpt: [682.49 MiB/s 703.51 MiB/s 719.57 MiB/s]
Found 6 outliers among 100 measurements (6.00%)
3 (3.00%) high mild
3 (3.00%) high severe
K12/4096/32 (cached) time: [4.5423 µs 4.5512 µs 4.5609 µs]
thrpt: [856.47 MiB/s 858.30 MiB/s 859.98 MiB/s]
Found 6 outliers among 100 measurements (6.00%)
4 (4.00%) high mild
2 (2.00%) high severe
K12/4096/32 (random) time: [4.8527 µs 4.9012 µs 4.9540 µs]
thrpt: [788.50 MiB/s 797.00 MiB/s 804.97 MiB/s]
Found 9 outliers among 100 measurements (9.00%)
9 (9.00%) high mild
K12/8192/32 (cached) time: [9.1117 µs 9.1528 µs 9.2036 µs]
thrpt: [848.86 MiB/s 853.56 MiB/s 857.41 MiB/s]
Found 6 outliers among 100 measurements (6.00%)
2 (2.00%) high mild
4 (4.00%) high severe
K12/8192/32 (random) time: [9.6723 µs 9.7596 µs 9.8542 µs]
thrpt: [792.81 MiB/s 800.49 MiB/s 807.72 MiB/s]
Found 12 outliers among 100 measurements (12.00%)
11 (11.00%) high mild
1 (1.00%) high severe
K12/16384/32 (cached) time: [18.295 µs 18.404 µs 18.524 µs]
thrpt: [843.51 MiB/s 849.01 MiB/s 854.07 MiB/s]
Found 7 outliers among 100 measurements (7.00%)
4 (4.00%) high mild
3 (3.00%) high severe
K12/16384/32 (random) time: [18.790 µs 18.964 µs 19.173 µs]
thrpt: [814.96 MiB/s 823.94 MiB/s 831.57 MiB/s]
Found 8 outliers among 100 measurements (8.00%)
6 (6.00%) high mild
2 (2.00%) high severe
K12/32768/32 (cached) time: [35.931 µs 36.051 µs 36.189 µs]
thrpt: [863.52 MiB/s 866.83 MiB/s 869.73 MiB/s]
Found 7 outliers among 100 measurements (7.00%)
3 (3.00%) high mild
4 (4.00%) high severe
K12/32768/32 (random) time: [37.553 µs 39.232 µs 42.030 µs]
thrpt: [743.52 MiB/s 796.54 MiB/s 832.15 MiB/s]
Found 8 outliers among 100 measurements (8.00%)
3 (3.00%) high mild
5 (5.00%) high severe
Benchmarking K12/1048576/32 (cached): Warming up for 3.0000 s
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 5.9s, enable flat sampling, or reduce sample count to 60.
K12/1048576/32 (cached) time: [1.1502 ms 1.1557 ms 1.1621 ms]
thrpt: [860.54 MiB/s 865.31 MiB/s 869.43 MiB/s]
Found 11 outliers among 100 measurements (11.00%)
7 (7.00%) high mild
4 (4.00%) high severe
Benchmarking K12/1048576/32 (random): Warming up for 3.0000 s
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 8.7s, enable flat sampling, or reduce sample count to 50.
K12/1048576/32 (random) time: [1.2591 ms 1.2692 ms 1.2807 ms]
thrpt: [780.81 MiB/s 787.88 MiB/s 794.22 MiB/s]
Found 9 outliers among 100 measurements (9.00%)
6 (6.00%) high mild
3 (3.00%) high severe
K12/2097152/32 (cached) time: [2.3188 ms 2.3336 ms 2.3496 ms]
thrpt: [851.21 MiB/s 857.05 MiB/s 862.53 MiB/s]
Found 11 outliers among 100 measurements (11.00%)
8 (8.00%) high mild
3 (3.00%) high severe
K12/2097152/32 (random) time: [2.5263 ms 2.5515 ms 2.5794 ms]
thrpt: [775.36 MiB/s 783.87 MiB/s 791.68 MiB/s]
Found 17 outliers among 100 measurements (17.00%)
2 (2.00%) high mild
15 (15.00%) high severe
K12/4194304/32 (cached) time: [4.6883 ms 4.7201 ms 4.7552 ms]
thrpt: [841.19 MiB/s 847.43 MiB/s 853.20 MiB/s]
Found 17 outliers among 100 measurements (17.00%)
13 (13.00%) high mild
4 (4.00%) high severe
K12/4194304/32 (random) time: [4.9172 ms 4.9354 ms 4.9555 ms]
thrpt: [807.18 MiB/s 810.46 MiB/s 813.46 MiB/s]
Found 4 outliers among 100 measurements (4.00%)
3 (3.00%) high mild
1 (1.00%) high severe
K12/8388608/32 (cached) time: [9.6927 ms 9.7635 ms 9.8413 ms]
thrpt: [812.90 MiB/s 819.38 MiB/s 825.36 MiB/s]
Found 15 outliers among 100 measurements (15.00%)
6 (6.00%) high mild
9 (9.00%) high severe
K12/8388608/32 (random) time: [10.085 ms 10.110 ms 10.136 ms]
thrpt: [789.28 MiB/s 791.32 MiB/s 793.23 MiB/s]
Found 7 outliers among 100 measurements (7.00%)
7 (7.00%) high mild
K12/16777216/32 (cached)
time: [19.412 ms 19.465 ms 19.524 ms]
thrpt: [819.51 MiB/s 821.99 MiB/s 824.23 MiB/s]
Found 6 outliers among 100 measurements (6.00%)
4 (4.00%) high mild
2 (2.00%) high severe
K12/16777216/32 (random)
time: [20.295 ms 20.372 ms 20.465 ms]
thrpt: [781.83 MiB/s 785.39 MiB/s 788.37 MiB/s]
Found 6 outliers among 100 measurements (6.00%)
2 (2.00%) high mild
4 (4.00%) high severe
K12/33554432/32 (cached)
time: [38.981 ms 39.092 ms 39.212 ms]
thrpt: [816.08 MiB/s 818.57 MiB/s 820.92 MiB/s]
Found 3 outliers among 100 measurements (3.00%)
2 (2.00%) high mild
1 (1.00%) high severe
K12/33554432/32 (random)
time: [40.963 ms 41.106 ms 41.270 ms]
thrpt: [775.38 MiB/s 778.48 MiB/s 781.19 MiB/s]
Found 2 outliers among 100 measurements (2.00%)
1 (1.00%) high mild
1 (1.00%) high severeK12/1024/32 (cached) time: [1.5234 µs 1.5303 µs 1.5377 µs]
thrpt: [635.06 MiB/s 638.17 MiB/s 641.04 MiB/s]
Found 1 outliers among 100 measurements (1.00%)
1 (1.00%) high mild
K12/1024/32 (random) time: [1.7047 µs 1.7214 µs 1.7407 µs]
thrpt: [561.03 MiB/s 567.31 MiB/s 572.85 MiB/s]
Found 20 outliers among 100 measurements (20.00%)
5 (5.00%) low mild
6 (6.00%) high mild
9 (9.00%) high severe
K12/2048/32 (cached) time: [2.4866 µs 2.4927 µs 2.4994 µs]
thrpt: [781.45 MiB/s 783.53 MiB/s 785.47 MiB/s]
Found 1 outliers among 100 measurements (1.00%)
1 (1.00%) high mild
K12/2048/32 (random) time: [2.7111 µs 2.7326 µs 2.7558 µs]
thrpt: [708.72 MiB/s 714.76 MiB/s 720.42 MiB/s]
Found 12 outliers among 100 measurements (12.00%)
11 (11.00%) high mild
1 (1.00%) high severe
K12/4096/32 (cached) time: [4.4709 µs 4.4844 µs 4.4995 µs]
thrpt: [868.14 MiB/s 871.08 MiB/s 873.70 MiB/s]
Found 6 outliers among 100 measurements (6.00%)
4 (4.00%) high mild
2 (2.00%) high severe
K12/4096/32 (random) time: [4.9004 µs 4.9472 µs 4.9969 µs]
thrpt: [781.73 MiB/s 789.60 MiB/s 797.13 MiB/s]
Found 6 outliers among 100 measurements (6.00%)
5 (5.00%) high mild
1 (1.00%) high severe
K12/8192/32 (cached) time: [51.266 µs 53.230 µs 56.058 µs]
thrpt: [139.36 MiB/s 146.77 MiB/s 152.39 MiB/s]
Found 11 outliers among 100 measurements (11.00%)
4 (4.00%) high mild
7 (7.00%) high severe
K12/8192/32 (random) time: [52.633 µs 53.242 µs 53.895 µs]
thrpt: [144.96 MiB/s 146.74 MiB/s 148.43 MiB/s]
Found 7 outliers among 100 measurements (7.00%)
5 (5.00%) high mild
2 (2.00%) high severe
K12/16384/32 (cached) time: [65.168 µs 65.468 µs 65.911 µs]
thrpt: [237.06 MiB/s 238.67 MiB/s 239.76 MiB/s]
Found 8 outliers among 100 measurements (8.00%)
4 (4.00%) high mild
4 (4.00%) high severe
K12/16384/32 (random) time: [66.082 µs 66.230 µs 66.393 µs]
thrpt: [235.34 MiB/s 235.92 MiB/s 236.45 MiB/s]
Found 17 outliers among 100 measurements (17.00%)
1 (1.00%) low mild
8 (8.00%) high mild
8 (8.00%) high severe
K12/32768/32 (cached) time: [103.50 µs 103.99 µs 104.56 µs]
thrpt: [298.87 MiB/s 300.52 MiB/s 301.94 MiB/s]
Found 8 outliers among 100 measurements (8.00%)
3 (3.00%) high mild
5 (5.00%) high severe
K12/32768/32 (random) time: [104.99 µs 106.87 µs 109.35 µs]
thrpt: [285.78 MiB/s 292.41 MiB/s 297.65 MiB/s]
Found 13 outliers among 100 measurements (13.00%)
5 (5.00%) high mild
8 (8.00%) high severe
K12/1048576/32 (cached) time: [595.11 µs 600.65 µs 606.11 µs]
thrpt: [1.6112 GiB/s 1.6258 GiB/s 1.6410 GiB/s]
Found 3 outliers among 100 measurements (3.00%)
3 (3.00%) high mild
Benchmarking K12/1048576/32 (random): Warming up for 3.0000 s
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 5.5s, enable flat sampling, or reduce sample count to 60.
K12/1048576/32 (random) time: [644.87 µs 652.94 µs 660.56 µs]
thrpt: [1.4784 GiB/s 1.4956 GiB/s 1.5144 GiB/s]
Found 3 outliers among 100 measurements (3.00%)
3 (3.00%) low mild
K12/2097152/32 (cached) time: [963.57 µs 970.18 µs 977.03 µs]
thrpt: [1.9990 GiB/s 2.0132 GiB/s 2.0270 GiB/s]
Found 2 outliers among 100 measurements (2.00%)
2 (2.00%) high mild
Benchmarking K12/2097152/32 (random): Warming up for 3.0000 s
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 9.7s, enable flat sampling, or reduce sample count to 50.
K12/2097152/32 (random) time: [1.0573 ms 1.0669 ms 1.0769 ms]
thrpt: [1.8136 GiB/s 1.8306 GiB/s 1.8473 GiB/s]
Found 1 outliers among 100 measurements (1.00%)
1 (1.00%) high mild
Benchmarking K12/4194304/32 (cached): Warming up for 3.0000 s
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 8.6s, enable flat sampling, or reduce sample count to 50.
K12/4194304/32 (cached) time: [1.6748 ms 1.6845 ms 1.6939 ms]
thrpt: [2.3060 GiB/s 2.3189 GiB/s 2.3324 GiB/s]
Found 2 outliers among 100 measurements (2.00%)
1 (1.00%) high mild
1 (1.00%) high severe
K12/4194304/32 (random) time: [1.8045 ms 1.8168 ms 1.8295 ms]
thrpt: [2.1351 GiB/s 2.1501 GiB/s 2.1647 GiB/s]
Found 4 outliers among 100 measurements (4.00%)
4 (4.00%) high mild
K12/8388608/32 (cached) time: [3.1208 ms 3.1417 ms 3.1636 ms]
thrpt: [2.4695 GiB/s 2.4867 GiB/s 2.5033 GiB/s]
Found 3 outliers among 100 measurements (3.00%)
2 (2.00%) high mild
1 (1.00%) high severe
K12/8388608/32 (random) time: [3.2660 ms 3.2813 ms 3.2974 ms]
thrpt: [2.3693 GiB/s 2.3810 GiB/s 2.3920 GiB/s]
Found 6 outliers among 100 measurements (6.00%)
1 (1.00%) low mild
4 (4.00%) high mild
1 (1.00%) high severe
K12/16777216/32 (cached)
time: [5.9027 ms 5.9612 ms 6.0277 ms]
thrpt: [2.5922 GiB/s 2.6211 GiB/s 2.6471 GiB/s]
Found 3 outliers among 100 measurements (3.00%)
1 (1.00%) high mild
2 (2.00%) high severe
K12/16777216/32 (random)
time: [6.2938 ms 6.3308 ms 6.3723 ms]
thrpt: [2.4520 GiB/s 2.4681 GiB/s 2.4826 GiB/s]
Found 6 outliers among 100 measurements (6.00%)
4 (4.00%) high mild
2 (2.00%) high severe
K12/33554432/32 (cached)
time: [11.659 ms 11.741 ms 11.829 ms]
thrpt: [2.6417 GiB/s 2.6617 GiB/s 2.6802 GiB/s]
Found 21 outliers among 100 measurements (21.00%)
7 (7.00%) high mild
14 (14.00%) high severe
K12/33554432/32 (random)
time: [12.109 ms 12.183 ms 12.266 ms]
thrpt: [2.5478 GiB/s 2.5651 GiB/s 2.5808 GiB/s]
Found 14 outliers among 100 measurements (14.00%)
9 (9.00%) high mild
5 (5.00%) high severeGetting started with using KangarooTwelve extendable output function API is pretty easy
- Add
kangarootwelveas project dependency in yourCargo.tomlfile
[dependencies]
# either
kangarootwelve = { git = "https://github.com/itzmeanjan/kangarootwelve" }
# or
kangarootwelve = "0.1.1"
# or if interested in using multi-threaded K12 absorption for long messages
kangarootwelve = { version = "0.1.1", features = "multi_threaded" }- Right now KangarooTwelve offers only non-incremental absorption API, so absorb message and customization string into sponge state using
hash()function, which returns an XOF object, holding sponge in its finalized state.
use kangarootwelve::KangarooTwelve;
use rand::{thread_rng, RngCore};
fn main() {
const MLEN: usize = 64;
const CSTRLEN: usize = 1;
const DLEN: usize = 32;
let mut msg = vec![0u8; MLEN];
let mut cstr = vec![0u8; CSTRLEN]; // you can keep it empty
let mut dig = vec![0u8; DLEN];
let mut rng = thread_rng();
rng.fill_bytes(&mut msg);
cstr[0] = 0xff;
let mut hasher = KangarooTwelve::hash(&msg, &cstr);
// ...
}- Sponge is ready to be squeezed i.e. now you can use returned XOF object for squeezing arbitrary number of bytes arbitrary number of times.
hasher.squeeze(&mut dig[..DLEN / 2]);
hasher.squeeze(&mut dig[DLEN / 2..]);I maintain following example, demonstrating usage of KangarooTwelve eXtendable Output Function (XOF).
cargo run --release --example k12
Message = 03959c2ffc95ac27dbf150fa1bbd4eebeaf531cf5bfd93680a197453350260ca86d78ba9376c8bf55350a7b695f473c486853d955de5eef456a7bc14d22316c5
Customization String = ff
Digest = 1ab580fbc34d1e49d4c6b1b34b8e9d6b25e0ee60185559e3c7384e5c15629781