Primitives

Choosing from the following cryptographic primitives is recommended:

  • RSA with 2048-bit keys and OAEP or PSS padding

  • AES-128 in CBC mode

  • AES-128 in GCM mode

  • AES-256 in CBC mode

  • AES-256 in GCM mode

  • SHA-256

  • HMAC-SHA-256

  • HMAC-SHA-1

Other cryptographic algorithms can be used if they are required for interoperability with existing software:

  • RSA with key sizes larger than 1024 and legacy padding

  • AES-192

  • 3DES (triple DES, with two or three 56-bit keys), but strongly discouraged

  • RC4 (but very, very strongly discouraged)

  • SHA-1

  • HMAC-MD5

Important

These primitives are difficult to use in a secure way. Custom implementation of security protocols should be avoided. For protecting confidentiality and integrity of network transmissions, TLS should be used ([chap-Defensive_Coding-TLS]).

In particular, when using AES in CBC mode, it is necessary to add integrity checking by other means, preferably using HMAC-SHA-256 and after encryption (that is, on the encrypted cipher text). For AES in GCM mode, correct construction of nonces is absolutely essential.

Randomness

The following facilities can be used to generate unpredictable and non-repeating values. When these functions are used without special safeguards, each individual random value should be at least 12 bytes long.

  • PK11_GenerateRandom in the NSS library (usable for high data rates)

  • RAND_bytes in the OpenSSL library (usable for high data rates)

  • gnutls_rnd in GNUTLS, with GNUTLS_RND_RANDOM as the first argument (usable for high data rates)

  • java.security.SecureRandom in Java (usable for high data rates)

  • os.urandom in Python

  • The getrandom system call since glibc 2.25

  • The getentropy call since glibc 2.25

  • Reading from the /dev/urandom character device

All these functions should be non-blocking, and they should not wait until physical randomness becomes available. (Some cryptography providers for Java can cause java.security.SecureRandom to block, however.) Those functions which do not obtain all bits directly from /dev/urandom are suitable for high data rates because they do not deplete the system-wide entropy pool.

Difficult to use API

Both RAND_bytes and PK11_GenerateRandom have three-state return values (with conflicting meanings). Careful error checking is required. Please review the documentation when using these functions.

Difficult to use API

The getrandom system call has three-state return values, hence requires careful error checking.

It was introduced in Linux kernel 3.17, but before glibc 2.25 no API wrappers were provided. As such one could only use it via the syscall interface as syscall(SYS_getrandom, (void*)dest, (size_t)size, (unsigned int)0). For portable code targetting multiple kernel versions one has to check for the function beingavailable on run-time, and switch to another facility if the running kernel does not support this call.

Other sources of randomness should be considered predictable.

Generating randomness for cryptographic keys in long-term use may need different steps and is best left to cryptographic libraries.