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Crypt::Random::Seed(3pm) User Contributed Perl Documentation Crypt::Random::Seed(3pm)
NAME
Crypt::Random::Seed - Simple method to get strong randomness
VERSION
Version 0.03
SYNOPSIS
use Crypt::Random::Seed;
my $source = new Crypt::Random::Seed;
die "No strong sources exist" unless defined $source;
my $seed_string = $source->random_bytes(4);
my @seed_values = $source->random_values(4);
# Only non-blocking sources
my $nonblocking_source = Crypt::Random::Seed->new( NonBlocking=>1 );
# Blacklist sources (never choose the listed sources)
my $nowin32_source = Crypt::Random::Seed->new( Never=>['Win32'] );
# Whitelist sources (only choose from these sources)
my $devr_source = Crypt::Random::Seed->new( Only=>['TESHA2'] );
# Supply a custom source.
my $user_src = Crypt::Random::Seed->new( Source=>sub { myfunc(shift) } );
# Or supply a list of [name, sub, is_blocking, is_strong]
$user_src = Crypt::Random::Seed->new(
Source=>['MyRandomFunction',sub {myfunc(shift)},0,1] );
# Given a source there are a few things we can do:
say "My randomness source is ", $source->name();
say "I am a blocking source" if $source->is_blocking();
say "I am a strong randomness source" if $source->is_strong()
say "Four 8-bit numbers:",
join(",", map { ord $source->random_bytes(1) } 1..4);'
say "Four 32-bit numbers:", join(",", $source->random_values(4));
DESCRIPTION
A simple mechanism to get strong randomness. The main purpose of this module is to
provide a simple way to generate a seed for a PRNG such as Math::Random::ISAAC, for use in
cryptographic key generation, or as the seed for an upstream module such as
Bytes::Random::Secure. Flags for requiring non-blocking sources are allowed, as well as a
very simple method for plugging in a source.
The randomness sources used are, in order:
User supplied.
If the constructor is called with a Source defined, then it is used. It is not
checked vs. other flags (NonBlocking, Never, Only).
Win32 Crypto API.
This will use "CryptGenRandom" on Windows 2000 and "RtlGenRand" on Windows XP and
newer. According to MSDN, these are well-seeded CSPRNGs (FIPS 186-2 or AES-CTR), so
will be non-blocking.
EGD / PRNGD.
This looks for sockets that speak the EGD <http://egd.sourceforge.net/> protocol,
including PRNGD <http://prngd.sourceforge.net/>. These are userspace entropy daemons
that are commonly used by OpenSSL, OpenSSH, and GnuGP. The locations searched are
"/var/run/egd-pool", "/dev/egd-pool", "/etc/egd-pool", and "/etc/entropy". EGD is
blocking, while PRNGD is non-blocking (like the Win32 API, it is really a seeded
CSPRNG). However there is no way to tell them apart, so we treat it as blocking. If
your O/S supports /dev/random, consider HAVEGED <http://www.issihosts.com/haveged/> as
an alternative (a system daemon that refills /dev/random as needed).
/dev/random.
The strong source of randomness on most UNIX-like systems. Cygwin uses this, though
it maps to the Win32 API. On almost all systems this is a blocking source of
randomness -- if it runs out of estimated entropy, it will hang until more has come
into the system. If this is an issue, which it often is on embedded devices, running
a tool such as HAVEGED <http://www.issihosts.com/haveged/> will help immensely.
/dev/urandom.
A nonblocking source of randomness that we label as weak, since it will continue
providing output even if the actual entropy has been exhausted.
TESHA2.
Crypt::Random::TESHA2 is a Perl module that generates random bytes from an entropy
pool fed with timer/scheduler variations. Measurements and tests are performed on
installation to determine whether the source is considered strong or weak. This is
entirely in portable userspace, which is good for ease of use, but really requires
user verification that it is working as expected if we expect it to be strong. The
concept is similar to Math::TrulyRandom though updated to something closer to what
TrueRand 2.1 does vs. the obsolete version 1 that Math::TrulyRandom implements. It is
very slow and has wide speed variability across platforms : I've seen numbers ranging
from 40 to 150,000 bits per second.
A source can also be supplied in the constructor. Each of these sources will have its
debatable points about perceived strength. E.g. Why is /dev/urandom considered weak while
Win32 is strong? Can any userspace method such as TrueRand or TESHA2 be considered
strong?
SOURCE TABLE
This table summarizes the default sources:
+------------------+-------------+------------+--------------------+
| SOURCE | STRENGTH | BLOCKING | NOTE |
|------------------+-------------+------------+--------------------|
| RtlGenRandom | Strong(1) | No | Default WinXP+ |
|------------------+-------------+------------+--------------------|
| CryptGenRandom | Strong(1) | No | Default Win2000 |
|------------------+-------------+------------+--------------------|
| EGD | Strong | Yes(2) | also PRNGD, etc. |
|------------------+-------------+------------+--------------------|
| /dev/random | Strong | Yes | Typical UNIX |
|------------------+-------------+------------+--------------------|
| /dev/urandom | Weak | No | Typical UNIX NB |
|------------------+-------------+------------+--------------------|
| TESHA2-strong | Strong | No | |
|------------------+-------------+------------+--------------------|
| TESHA2-weak | Weak | No | |
+------------------+-------------+------------+--------------------+
The alias 'Win32' can be used in whitelist and blacklist and will match both the Win32
sources "RtlGenRandom" and "CryptGenRandom". The alias 'TESHA2' may be similarly used and
matches both the weak and strong sources.
1) Both CryptGenRandom and RtlGenRandom are considered strong by this
package, even though both are seeded CSPRNGs so should be the equal of
/dev/urandom in this respect. The CryptGenRandom function used in
Windows 2000 has some known issues so should be considered weaker.
2) EGD is blocking, PRNGD is not. We cannot tell the two apart. There are
other software products that use the same protocol, and each will act
differently. E.g. EGD mixes in system entropy on every request, while
PRNGD mixes on a time schedule.
STRENGTH
In theory, a strong generator will provide true entropy. Even if a third party knew a
previous result and the entire state of the generator at any time up to when their value
was returned, they could still not effectively predict the result of the next returned
value. This implies the generator must either be blocking to wait for entropy (e.g.
/dev/random) or go through some possibly time-consuming process to gather it (TESHA2, EGD,
the HAVEGE daemon refilling /dev/random). Note: strong in this context means practically
strong, as most computers don't have a true hardware entropy generator. The goal is to
make all the attackers ill-gotten knowledge give them no better solution than if they did
not have the information.
Creating a satisfactory strength measurement is problematic. The Win32 Crypto API is
considered "strong" by most customers and every other Perl module, however it is a well
seeded CSPRNG according to the MSDN docs, so is not a strong source based on the
definition in the previous paragraph. Similarly, almost all sources consider /dev/urandom
to be weak, as once it runs out of entropy it returns a deterministic function based on
its state (albeit one that cannot be run either direction from a returned result if the
internal state is not known).
Because of this confusion, I have removed the "Weak" configuration option that was present
in version 0.01. It will now be ignored. You should be able to use a combination of
whitelist, blacklist, and the source's "is_strong" return value to decide if this meets
your needs. On Win32, you really only have a choice of Win32 and TESHA2. The former is
going to be what most people want, and can be chosen even with non-blocking set. On most
UNIX systems, "/dev/random" will be chosen for blocking and "/dev/urandom" for non-
blocking, which is what should be done in most cases.
BLOCKING
EGD and /dev/random are blocking sources. This means that if they run out of estimated
entropy, they will pause until they've collected more. This means your program also
pauses. On typical workstations this may be a few seconds or even minutes. On an
isolated network server this may cause a delay of hours or days. EGD is proactive about
gathering more entropy as fast as it can. Running a tool such as the HAVEGE daemon or
timer_entropyd can make /dev/random act like a non-blocking source, as the entropy daemon
will wake up and refill the pool almost instantly.
Win32, PRNGD, and /dev/urandom are fast nonblocking sources. When they run out of
entropy, they use a CSPRNG to keep supplying data at high speed. However this means that
there is no additional entropy being supplied.
TESHA2 is nonblocking, but can be very slow. /dev/random can be faster if run on a
machine with lots of activity. On an isolated server, TESHA2 may be much faster. Also
note that the blocking sources such as EGD and /dev/random both try to maintain reasonably
large entropy pools, so small requests can be supplied without blocking.
IN PRACTICE
Use the default to get the best source known. If you know more about the sources
available, you can use a whitelist, blacklist, or a custom source. In general, to get the
best source (typically Win32 or /dev/random):
my $source = Crypt::Random::Seed->new();
To get a good non-blocking source (Win32 or /dev/urandom):
my $source = Crypt::Random::Seed->new(NonBlocking => 1);
METHODS
new
The constructor with no arguments will find the first available source in its fixed list
and return an object that performs the defined methods. If no sources could be found
(quite unusual) then the returned value will be undef.
Optional parameters are passed in as a hash and may be mixed.
NonBlocking => boolean
Only non-blocking sources will be allowed. In practice this means EGD and /dev/random
will not be chosen (except on FreeBSD where it is non-blocking).
Only => [list of strings]
Takes an array reference containing one or more string source names. No source whose name
does not match one of these strings will be chosen. The string 'Win32' will match either
of the Win32 sources, and 'TESHA2' will match both the strong and weak versions.
Never => [list of strings]
Takes an array reference containing one or more string source names. No source whose name
matches one of these strings will be chosen. The string 'Win32' will match either of the
Win32 sources, and 'TESHA2' will match both the strong and weak versions.
Source => sub { ... }
Uses the given anonymous subroutine as the generator. The subroutine will be given an
integer (the argument to "random_bytes") and should return random data in a string of the
given length. For the purposes of the other object methods, the returned object will have
the name 'User', and be considered non-blocking and non-strong.
Source => ['name', sub { ... }, is_blocking, is_strong]
Similar to the simpler source routine, but also allows the other source parameters to be
defined. The name may not be one of the standard names listed in the "name" section.
random_bytes($n)
Takes an integer and returns a string of that size filled with random data. Returns an
empty string if the argument is not defined or is not more than zero.
random_values($n)
Takes an integer and returns an array of that many random 32-bit values. Returns an empty
array if the argument is not defined or is not more than zero.
name
Returns the text name of the random source. This will be one of: "User" for user defined,
"CryptGenRandom" for Windows 2000 Crypto API, "RtlGenRand" for Windows XP and newer Crypto
API, "EGD" for a known socket speaking the EGD protocol, "/dev/random" for the UNIX-like
strong randomness source, "/dev/urandom" for the UNIX-like non-blocking randomness source,
"TESHA2-strong" for the userspace entropy method when considered strong, "TESHA2-weak" for
the userspace entropy method when considered weak. Other methods may be supported in the
future. User supplied sources may be named anything other than one of the defined names.
is_strong
Returns 1 or 0 indicating whether the source is considered a strong source of randomness.
See the "STRENGTH" section for more discussion of what this means, and the source table
for what we think of each source.
is_blocking
Returns 1 or 0 indicating whether the source can block on read. Be aware that even if a
source doesn't block, it may be extremely slow.
AUTHORS
Dana Jacobsen <dana AT acm.org>
ACKNOWLEDGEMENTS
To the best of my knowledge, Max Kanat-Alexander was the original author of the Perl code
that uses the Win32 API. I used his code as a reference.
David Oswald gave me a lot of help with API discussions and code reviews.
SEE ALSO
The first question one may ask is "Why yet another module of this type?" None of the
modules on CPAN quite fit my needs, hence this. Some alternatives:
Crypt::Random::Source
A comprehensive system using multiple plugins. It has a nice API, but uses Any::Moose
which means you're loading up Moose or Mouse just to read a few bytes from /dev/random.
It also has a very long dependency chain, with on the order of 40 modules being installed
as prerequisites (depending of course on whether you use any of them on other projects).
Lastly, it requires at least Perl 5.8, which may or may not matter to you. But it matters
to some other module builders who end up with the restriction in their modules.
Crypt::URandom
A great little module that is almost what I was looking for. Crypt::Random::Seed will act
the same if given the constructor:
my $source = Crypt::Random::Seed->new(
NonBlocking => 1,
Only => [qw(/dev/random /dev/urandom Win32)]
);
croak "No randomness source available" unless defined $source;
Or you can leave out the "Only" and have TESHA2 as a backup.
Crypt::Random
Requires Math::Pari which makes it unacceptable in some environments. Has more features
(numbers in arbitrary bigint intervals or bit sizes). Crypt::Random::Seed is taking a
simpler approach, just handling returning octets and letting upstream modules handle the
rest.
Data::Entropy
An interesting module that contains a source encapsulation (defaults to system rand, but
has many plugins), a good CSPRNG (AES in counter mode), and the Data::Entropy::Algorithms
module with many ways to get bits, ints, bigints, floats, bigfloats, shuffles, and so
forth. From my perspective, the algorithms module is the highlight, with a lot of
interesting code.
Upstream modules
Some modules that could use this module to help them: Bytes::Random::Secure,
Math::Random::ISAAC, Math::Random::Secure, and Math::Random::MT to name a few.
COPYRIGHT
Copyright 2013 by Dana Jacobsen <dana AT acm.org>
This program is free software; you can redistribute it and/or modify it under the same
terms as Perl itself.
The software is provided "AS IS", without warranty of any kind, express or implied,
including but not limited to the warranties of merchantability, fitness for a particular
purpose and noninfringement. In no event shall the authors or copyright holders be liable
for any claim, damages or other liability, whether in an action of contract, tort or
otherwise, arising from, out of or in connection with the software or the use or other
dealings in the software.
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