diff options
| author | Jan Beich <jbeich@FreeBSD.org> | 2017-01-19 13:47:27 +0000 |
|---|---|---|
| committer | Jan Beich <jbeich@FreeBSD.org> | 2017-01-19 13:47:27 +0000 |
| commit | fbfe87044f034d788213b41f3a6c8996310f9047 (patch) | |
| tree | 6ff16ddcd46bae599550d254c96d660ebc89fc22 /security/py-zxcvbn-python | |
| parent | 0ebbea14a9f523a1c882d8e2b5b516101f6b95ca (diff) | |
| download | ports-fbfe87044f034d788213b41f3a6c8996310f9047.tar.gz ports-fbfe87044f034d788213b41f3a6c8996310f9047.zip | |
Notes
Diffstat (limited to 'security/py-zxcvbn-python')
| -rw-r--r-- | security/py-zxcvbn-python/Makefile | 18 | ||||
| -rw-r--r-- | security/py-zxcvbn-python/distinfo | 3 | ||||
| -rw-r--r-- | security/py-zxcvbn-python/pkg-descr | 9 |
3 files changed, 30 insertions, 0 deletions
diff --git a/security/py-zxcvbn-python/Makefile b/security/py-zxcvbn-python/Makefile new file mode 100644 index 000000000000..94b20dbe3ddc --- /dev/null +++ b/security/py-zxcvbn-python/Makefile @@ -0,0 +1,18 @@ +# $FreeBSD$ + +PORTNAME= zxcvbn-python +PORTVERSION= 4.4.12 +CATEGORIES= security python +MASTER_SITES= CHEESESHOP +PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} + +MAINTAINER= jbeich@FreeBSD.org +COMMENT= Realistic password strength estimator + +LICENSE= MIT + +NO_ARCH= yes +USES= python +USE_PYTHON= autoplist distutils + +.include <bsd.port.mk> diff --git a/security/py-zxcvbn-python/distinfo b/security/py-zxcvbn-python/distinfo new file mode 100644 index 000000000000..73e77ff1245a --- /dev/null +++ b/security/py-zxcvbn-python/distinfo @@ -0,0 +1,3 @@ +TIMESTAMP = 1483999859 +SHA256 (zxcvbn-python-4.4.12.tar.gz) = f8cda13aec0c14f2ae9cd85057c12628c2c059a10ca7e02dcab26b9215000de4 +SIZE (zxcvbn-python-4.4.12.tar.gz) = 403246 diff --git a/security/py-zxcvbn-python/pkg-descr b/security/py-zxcvbn-python/pkg-descr new file mode 100644 index 000000000000..3dbd1dddeb73 --- /dev/null +++ b/security/py-zxcvbn-python/pkg-descr @@ -0,0 +1,9 @@ +zxcvbn is a password strength estimator inspired by password +crackers. Through pattern matching and conservative estimation, it +recognizes and weighs 30k common passwords, common names and surnames +according to US census data, popular English words from Wikipedia and +US television and movies, and other common patterns like dates, +repeats (aaa), sequences (abcd), keyboard patterns (qwertyuiop), and +l33t speak. + +WWW: https://pypi.python.org/pypi/zxcvbn-python |