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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
# implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os.path
def load_nist_vectors(vector_data, op):
section, count, data = None, None, {}
for line in vector_data:
line = line.strip()
# Blank lines are ignored
if not line:
continue
# Lines starting with # are comments
if line.startswith("#"):
continue
# Look for section headers
if line.startswith("[") and line.endswith("]"):
section = line[1:-1]
data[section] = {}
continue
# Build our data using a simple Key = Value format
name, value = line.split(" = ")
# COUNT is a special token that indicates a new block of data
if name.upper() == "COUNT":
count = value
data[section][count] = {}
# For all other tokens we simply want the name, value stored in
# the dictionary
else:
data[section][count][name.lower()] = value.encode("ascii")
# We want to test only for a particular operation, we sort them for the
# benefit of the tests of this function.
return [v for k, v in sorted(data[op].items(), key=lambda kv: kv[0])]
def load_nist_vectors_from_file(filename, op):
base = os.path.join(
os.path.dirname(__file__), "primitives", "vectors", "NIST",
)
with open(os.path.join(base, filename), "r") as vector_file:
return load_nist_vectors(vector_file, op)
def load_cryptrec_vectors_from_file(filename):
base = os.path.join(
os.path.dirname(__file__), "primitives", "vectors", "CRYPTREC",
)
with open(os.path.join(base, filename), "r") as vector_file:
return load_cryptrec_vectors(vector_file)
def load_cryptrec_vectors(vector_data):
cryptrec_list = []
for line in vector_data:
line = line.strip()
# Blank lines and comments are ignored
if not line or line.startswith("#"):
continue
if line.startswith("K"):
key = line.split(" : ")[1].replace(" ", "").encode("ascii")
elif line.startswith("P"):
pt = line.split(" : ")[1].replace(" ", "").encode("ascii")
elif line.startswith("C"):
ct = line.split(" : ")[1].replace(" ", "").encode("ascii")
# after a C is found the K+P+C tuple is complete
# there are many P+C pairs for each K
cryptrec_list.append({
"key": key,
"plaintext": pt,
"ciphertext": ct
})
return cryptrec_list
def load_openssl_vectors_from_file(filename):
base = os.path.join(
os.path.dirname(__file__), "primitives", "vectors", "OpenSSL",
)
with open(os.path.join(base, filename), "r") as vector_file:
return load_openssl_vectors(vector_file)
def load_openssl_vectors(vector_data):
vectors = []
for line in vector_data:
line = line.strip()
# Blank lines and comments are ignored
if not line or line.startswith("#"):
continue
vector = line.split(":")
vectors.append({
"key": vector[1].encode("ascii"),
"iv": vector[2].encode("ascii"),
"plaintext": vector[3].encode("ascii"),
"ciphertext": vector[4].encode("ascii"),
})
return vectors
def load_hash_vectors(vector_data):
vectors = []
for line in vector_data:
line = line.strip()
if not line or line.startswith("#") or line.startswith("["):
continue
if line.startswith("Len"):
length = int(line.split(" = ")[1])
elif line.startswith("Msg"):
"""
In the NIST vectors they have chosen to represent an empty
string as hex 00, which is of course not actually an empty
string. So we parse the provided length and catch this edge case.
"""
msg = line.split(" = ")[1].encode("ascii") if length > 0 else b""
elif line.startswith("MD"):
md = line.split(" = ")[1]
# after MD is found the Msg+MD tuple is complete
vectors.append((msg, md))
else:
raise ValueError("Unknown line in hash vector")
return vectors
def load_hash_vectors_from_file(filename):
base = os.path.join(
os.path.dirname(__file__), "primitives", "vectors"
)
with open(os.path.join(base, filename), "r") as vector_file:
return load_hash_vectors(vector_file)
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