John the Ripper is a fast password cracker, currently available for many flavors of Unix, Windows, DOS, BeOS, and OpenVMS. Its primary purpose is to detect weak Unix passwords. It supports several crypt(3) password hash types commonly found on Unix systems, as well as Windows LM hashes. On top of this, lots of other hashes and ciphers are added in the community-enhanced version (-jumbo), and some are added in John the Ripper Pro.
Botan is a crypto library written in C++. It provides a variety of cryptographic algorithms, including common ones such as AES, MD5, SHA, HMAC, RSA, Diffie-Hellman, DSA, and ECDSA, as well as many others that are more obscure or specialized. It also offers SSL/TLS (client and server), X.509v3 certificates and CRLs, and PKCS #10 certificate requests. A message processing system that uses a filter/pipeline metaphor allows for many common cryptographic tasks to be completed with just a few lines of code. Assembly and SIMD optimizations for common CPUs offers speedups for critical algorithms like AES and SHA-1.
BeeCrypt is an ongoing project to provide strong and fast cryptography in the form of a toolkit usable by commercial and open source projects. Included in the library are entropy sources, random generators, block ciphers, hash functions, message authentication codes, multiprecision integer routines, and public key primitives.
The Torque Network Library is a robust, secure, and easy-to-use cross-platform C++ networking API designed for high performance simulations and games. It features a UDP- based connection architecture with DoS prevention functionality, different types of data guarantee, bit stream compression, server object replication and updating, and a simple, highly space efficient RPC mechanism. It includes a deterministic application journaling replay function for eliminating hard to find networking bugs.
HAVEGE (HArdware Volatile Entropy Gathering and Expansion) is a user-level software unpredictable random number generator for general-purpose computers that exploits modifications of the internal volatile hardware states as a source of uncertainty. It combines on-the-fly hardware volatile entropy gathering with pseudo-random number generation. The internal state includes thousands of internal volatile hardware states and is merely unmonitorable. It can support several hundreds of megabits per second on current workstations and PCs.