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2021-10-26security: Replace RMD160 checksums with BLAKE2s checksumsnia1-2/+2
All checksums have been double-checked against existing RMD160 and SHA512 hashes Unfetchable distfiles (fetched conditionally?): ./security/cyrus-sasl/distinfo cyrus-sasl-dedad73e5e7a75d01a5f3d5a6702ab8ccd2ff40d.patch.v2
2021-10-07security: Remove SHA1 hashes for distfilesnia1-2/+1
2020-01-26all: migrate homepages from http to httpsrillig1-2/+2
pkglint -r --network --only "migrate" As a side-effect of migrating the homepages, pkglint also fixed a few indentations in unrelated lines. These and the new homepages have been checked manually.
2015-11-04Add SHA512 digests for distfiles for security categoryagc1-1/+2
Problems found locating distfiles: Package f-prot-antivirus6-fs-bin: missing distfile fp-NetBSD.x86.32-fs-6.2.3.tar.gz Package f-prot-antivirus6-ws-bin: missing distfile fp-NetBSD.x86.32-ws-6.2.3.tar.gz Package libidea: missing distfile libidea-0.8.2b.tar.gz Package openssh: missing distfile openssh-7.1p1-hpn-20150822.diff.bz2 Package uvscan: missing distfile vlp4510e.tar.Z Otherwise, existing SHA1 digests verified and found to be the same on the machine holding the existing distfiles (morden). All existing SHA1 digests retained for now as an audit trail.
2013-04-25Import ent-19981020 into the Packages Collection.agc4-0/+37
Originally packaged for wip by evaldo - thanks! ent is a program which applies various tests to sequences of bytes stored in files and reports the results of those tests. The program is useful for those evaluating pseudorandom number generators for encryption and statistical sampling applications, compression algorithms, and other applications where the information density of a file is of interest. (Modified by me only to hold the distfile in a DIST_SUBDIR, since the random.zip filename has the possibility to clash with other things) An example of its usage: % dd if=/dev/urandom bs=1k count=10 | ent 10+0 records in 10+0 records out 10240 bytes transferred in 0.001 secs (10240000 bytes/sec) Entropy = 7.977398 bits per byte. Optimum compression would reduce the size of this 10240 byte file by 0 percent. Chi square distribution for 10240 samples is 321.50, and randomly would exceed this value 0.30 percent of the times. Arithmetic mean value of data bytes is 128.5722 (127.5 = random). Monte Carlo value for Pi is 3.195779601 (error 1.72 percent). Serial correlation coefficient is -0.003620 (totally uncorrelated = 0.0). %