#ifndef _IPXE_ENTROPY_H #define _IPXE_ENTROPY_H /** @file * * Entropy source * */ FILE_LICENCE ( GPL2_OR_LATER_OR_UBDL ); #include #include #include #include #include #include #include /** * Calculate static inline entropy API function name * * @v _prefix Subsystem prefix * @v _api_func API function * @ret _subsys_func Subsystem API function */ #define ENTROPY_INLINE( _subsys, _api_func ) \ SINGLE_API_INLINE ( ENTROPY_PREFIX_ ## _subsys, _api_func ) /** * Provide a entropy API implementation * * @v _prefix Subsystem prefix * @v _api_func API function * @v _func Implementing function */ #define PROVIDE_ENTROPY( _subsys, _api_func, _func ) \ PROVIDE_SINGLE_API ( ENTROPY_PREFIX_ ## _subsys, _api_func, _func ) /** * Provide a static inline entropy API implementation * * @v _prefix Subsystem prefix * @v _api_func API function */ #define PROVIDE_ENTROPY_INLINE( _subsys, _api_func ) \ PROVIDE_SINGLE_API_INLINE ( ENTROPY_PREFIX_ ## _subsys, _api_func ) /** A noise sample */ typedef uint8_t noise_sample_t; /** An entropy sample */ typedef uint8_t entropy_sample_t; /** An amount of min-entropy * * Expressed as a fixed-point quantity in order to avoid floating * point calculations. */ typedef unsigned int min_entropy_t; /** Fixed-point scale for min-entropy amounts */ #define MIN_ENTROPY_SCALE ( 1 << 16 ) /** * Construct a min-entropy fixed-point value * * @v bits min-entropy in bits * @ret min_entropy min-entropy as a fixed-point value */ #define MIN_ENTROPY( bits ) \ ( ( min_entropy_t ) ( (bits) * MIN_ENTROPY_SCALE ) ) /* Include all architecture-independent entropy API headers */ #include #include #include /* Include all architecture-dependent entropy API headers */ #include /** * Enable entropy gathering * * @ret rc Return status code */ int entropy_enable ( void ); /** * Disable entropy gathering * */ void entropy_disable ( void ); /** * min-entropy per sample * * @ret min_entropy min-entropy of each sample * * min-entropy is defined in ANS X9.82 Part 1-2006 Section 8.3 and in * NIST SP 800-90 Appendix C.3 as * * H_min = -log2 ( p_max ) * * where p_max is the probability of the most likely sample value. * * This must be a compile-time constant. */ min_entropy_t min_entropy_per_sample ( void ); /** * Get noise sample * * @ret noise Noise sample * @ret rc Return status code * * This is the GetNoise function defined in ANS X9.82 Part 2 * (October 2011 Draft) Section 6.5.2. */ int get_noise ( noise_sample_t *noise ); extern int get_entropy_input_tmp ( unsigned int num_samples, uint8_t *tmp, size_t tmp_len ); /** Use SHA-256 as the underlying hash algorithm for Hash_df * * Hash_df using SHA-256 is an Approved algorithm in ANS X9.82. */ #define entropy_hash_df_algorithm sha256_algorithm /** Underlying hash algorithm output length (in bytes) */ #define ENTROPY_HASH_DF_OUTLEN_BYTES SHA256_DIGEST_SIZE /** * Obtain entropy input * * @v min_entropy_bits Minimum amount of entropy, in bits * @v data Data buffer * @v min_len Minimum length of entropy input, in bytes * @v max_len Maximum length of entropy input, in bytes * @ret len Length of entropy input, in bytes, or negative error * * This is the implementation of the Get_entropy_input function (using * an entropy source as the source of entropy input and condensing * each entropy source output after each GetEntropy call) as defined * in ANS X9.82 Part 4 (April 2011 Draft) Section 13.3.4.2. * * To minimise code size, the number of samples required is calculated * at compilation time. */ static inline __attribute__ (( always_inline )) int get_entropy_input ( unsigned int min_entropy_bits, void *data, size_t min_len, size_t max_len ) { size_t tmp_len = ( ( ( min_entropy_bits * 2 ) + 7 ) / 8 ); uint8_t tmp_buf[ tmp_len ]; uint8_t *tmp = ( ( tmp_len > max_len ) ? tmp_buf : data ); double min_samples; unsigned int num_samples; unsigned int n; int rc; /* Sanity checks */ linker_assert ( ( min_entropy_per_sample() <= MIN_ENTROPY ( 8 * sizeof ( noise_sample_t ) ) ), min_entropy_per_sample_is_impossibly_high ); linker_assert ( ( min_entropy_bits <= ( 8 * max_len ) ), entropy_buffer_too_small ); /* Round up minimum entropy to an integral number of bytes */ min_entropy_bits = ( ( min_entropy_bits + 7 ) & ~7 ); /* Calculate number of samples required to contain sufficient entropy */ min_samples = ( MIN_ENTROPY ( min_entropy_bits ) / min_entropy_per_sample() ); /* Round up to a whole number of samples. We don't have the * ceil() function available, so do the rounding by hand. */ num_samples = min_samples; if ( num_samples < min_samples ) num_samples++; linker_assert ( ( num_samples >= min_samples ), rounding_error ); /* Floating-point operations are not allowed in iPXE since we * never set up a suitable environment. Abort the build * unless the calculated number of samples is a compile-time * constant. */ linker_assert ( __builtin_constant_p ( num_samples ), num_samples_not_constant ); /* (Unnumbered). The output length of the hash function shall * meet or exceed the security strength indicated by the * min_entropy parameter. */ linker_assert ( ( ( 8 * ENTROPY_HASH_DF_OUTLEN_BYTES ) >= min_entropy_bits ), hash_df_algorithm_too_weak ); /* 1. If ( min_length > max_length ), then return ( FAILURE, Null ) */ linker_assert ( ( min_len <= max_len ), min_len_greater_than_max_len ); /* 2. n = 2 * min_entropy */ n = ( 2 * min_entropy_bits ); /* 3. entropy_total = 0 * 4. tmp = a fixed n-bit value, such as 0^n * 5. While ( entropy_total < min_entropy ) * 5.1. ( status, entropy_bitstring, assessed_entropy ) * = GetEntropy() * 5.2. If status indicates an error, return ( status, Null ) * 5.3. nonce = MakeNextNonce() * 5.4. tmp = tmp XOR df ( ( nonce || entropy_bitstring ), n ) * 5.5. entropy_total = entropy_total + assessed_entropy * * (The implementation of these steps is inside the function * get_entropy_input_tmp().) */ linker_assert ( __builtin_constant_p ( tmp_len ), tmp_len_not_constant ); linker_assert ( ( n == ( 8 * tmp_len ) ), tmp_len_mismatch ); if ( ( rc = get_entropy_input_tmp ( num_samples, tmp, tmp_len ) ) != 0 ) return rc; /* 6. If ( n < min_length ), then tmp = tmp || 0^(min_length-n) * 7. If ( n > max_length ), then tmp = df ( tmp, max_length ) * 8. Return ( SUCCESS, tmp ) */ if ( tmp_len < min_len ) { /* (Data is already in-place.) */ linker_assert ( ( data == tmp ), data_not_inplace ); memset ( ( data + tmp_len ), 0, ( min_len - tmp_len ) ); return min_len; } else if ( tmp_len > max_len ) { linker_assert ( ( tmp == tmp_buf ), data_inplace ); hash_df ( &entropy_hash_df_algorithm, tmp, tmp_len, data, max_len ); return max_len; } else { /* (Data is already in-place.) */ linker_assert ( ( data == tmp ), data_not_inplace ); return tmp_len; } } #endif /* _IPXE_ENTROPY_H */