Python hashlib.algorithms_available方法代碼示例

# 需要導入模塊: import hashlib [as 別名]
# 或者: from hashlib import algorithms_available [as 別名]
def validate_signature(request):
    """Validate that the signature in the header matches the payload."""
    if CONFIG["SECRET"] is None:
        return
    try:
        signature = request.headers["X-Hub-Signature"]
        hashname, hashval = signature.split("=")
    except (KeyError, ValueError):
        raise BadRequestError()

    if (hashname in CONFIG["HASHLIB_BLACKLIST"]) or (
        hashname not in hashlib.algorithms_available
    ):
        raise BadRequestError("X-Hub-Signature hash algorithm unavailable")

    digest = hmac.new(
        CONFIG["SECRET"].encode(), request.raw_body.encode(), hashname
    ).hexdigest()
    if not hmac.compare_digest(digest.encode(), hashval.encode("utf-8")):
        raise UnauthorizedError("X-Hub-Signature mismatch") 

# 需要導入模塊: import hashlib [as 別名]
# 或者: from hashlib import algorithms_available [as 別名]
def process(self, internal_data, attribute, **kwargs):
        salt = kwargs.get(CONFIG_KEY_HASHALGO, CONFIG_DEFAULT_SALT)
        hash_algo = kwargs.get(CONFIG_KEY_HASHALGO, CONFIG_DEFAULT_HASHALGO)
        if hash_algo not in hashlib.algorithms_available:
            raise AttributeProcessorError(
                "Hash algorithm not supported: {}".format(hash_algo))

        attributes = internal_data.attributes
        value = attributes.get(attribute, [None])[0]
        if value is None:
            raise AttributeProcessorError(
                "No value for attribute: {}".format(attribute))

        hasher = hashlib.new(hash_algo)
        hasher.update(value.encode('utf-8'))
        hasher.update(salt.encode('utf-8'))
        value_hashed = hasher.hexdigest()
        attributes[attribute][0] = value_hashed 

# 需要導入模塊: import hashlib [as 別名]
# 或者: from hashlib import algorithms_available [as 別名]
def list(self, ctx, *, group=None):
        """Lists available choices for other commands"""

        choices = {
            "documentations": self.documented,
            "hashing": sorted([h for h in algorithms if h.islower()]),
            "references": self.referred,
            "wrapped argument": self.wrapping,
        }

        if group == 'languages':
            emb = discord.Embed(title=f"Available for {group}: {len(self.bot.languages)}",
                description=f'View them on [tio.run](https://tio.run/#), or in [JSON format](https://tio.run/languages.json)')
            return await ctx.send(embed=emb)

        if not group in choices:
            emb = discord.Embed(title="Available listed commands", description=f"`languages`, `{'`, `'.join(choices)}`")
            return await ctx.send(embed=emb)

        availables = choices[group]
        description=f"`{'`, `'.join([*availables])}`"
        emb = discord.Embed(title=f"Available for {group}: {len(availables)}", description=description)
        await ctx.send(embed=emb) 

# 需要導入模塊: import hashlib [as 別名]
# 或者: from hashlib import algorithms_available [as 別名]
def _set_algorithm(self, value):
        """Setter for algorithm property.

        Args:
            value (str): The hashing algorithm to use. Defaults
                to sha1. See `hashlib.algorithms_available` for a list of
                options.
            value (str): The hashing algorithm to use.
        """
        if value not in hashlib.algorithms_available:
            raise ValueError("Invalid hashing algorithm: {!r}".format(value))

        if value != self._algorithm:
            # reset cache when changing algorithm
            self._cache = {}
            self._algorithm = value 

# 需要導入模塊: import hashlib [as 別名]
# 或者: from hashlib import algorithms_available [as 別名]
def process_object(self, file_object):
        '''
        This function must be implemented by the plugin.
        Analysis result must be a dict stored in file_object.processed_analysis[self.NAME]
        If you want to propagate results to parent objects store a list of strings 'summary' entry of your result dict
        '''
        file_object.processed_analysis[self.NAME] = {}
        for h in self.hashes_to_create:
            if h in algorithms_available:
                file_object.processed_analysis[self.NAME][h] = get_hash(h, file_object.binary)
            else:
                logging.debug('algorithm {} not available'.format(h))
        file_object.processed_analysis[self.NAME]['ssdeep'] = get_ssdeep(file_object.binary)
        file_object.processed_analysis[self.NAME]['imphash'] = get_imphash(file_object)

        tlsh_hash = get_tlsh(file_object.binary)
        if tlsh_hash:
            file_object.processed_analysis[self.NAME]['tlsh'] = get_tlsh(file_object.binary)

        return file_object 

# 需要導入模塊: import hashlib [as 別名]
# 或者: from hashlib import algorithms_available [as 別名]
def hasher(data, algos=ALGOS):
    """Create the hash(es) of a given string or file."""
    try:
        data = data.encode()
    except Exception:
        pass

    result = {}

    for algo in sorted(hashlib.algorithms_available):
        if algo in algos:
            h = hashlib.new(algo)
            h.update(data)
            result[algo] = h.hexdigest()

    return result 

# 需要導入模塊: import hashlib [as 別名]
# 或者: from hashlib import algorithms_available [as 別名]
def compute_file_checksum(path, read_chunksize=65536, algorithm='sha256'):
    """Compute checksum of a file's contents.

    :param path: Path to the file
    :param read_chunksize: Maximum number of bytes to be read from the file
     at once. Default is 65536 bytes or 64KB
    :param algorithm: The hash algorithm name to use. For example, 'md5',
     'sha256', 'sha512' and so on. Default is 'sha256'. Refer to
     hashlib.algorithms_available for available algorithms
    :return: Hex digest string of the checksum

    .. versionadded:: 3.31.0
    """
    checksum = hashlib.new(algorithm)  # Raises appropriate exceptions.
    with open(path, 'rb') as f:
        for chunk in iter(lambda: f.read(read_chunksize), b''):
            checksum.update(chunk)
            # Release greenthread, if greenthreads are not used it is a noop.
            time.sleep(0)
    return checksum.hexdigest() 

# 需要導入模塊: import hashlib [as 別名]
# 或者: from hashlib import algorithms_available [as 別名]
def _chromium_hashes_generator(hashes_path):
    with hashes_path.open(encoding=ENCODING) as hashes_file:
        hash_lines = hashes_file.read().splitlines()
    for hash_name, hash_hex, _ in map(lambda x: x.lower().split('  '), hash_lines):
        if hash_name in hashlib.algorithms_available:
            yield hash_name, hash_hex
        else:
            get_logger().warning('Skipping unknown hash algorithm: %s', hash_name) 

# 需要導入模塊: import hashlib [as 別名]
# 或者: from hashlib import algorithms_available [as 別名]
def test_algorithms_available(self):
        self.assertTrue(set(hashlib.algorithms_guaranteed).
                            issubset(hashlib.algorithms_available)) 

# 需要導入模塊: import hashlib [as 別名]
# 或者: from hashlib import algorithms_available [as 別名]
def validate_hash(hash: str, cracked: str, algo: Algo) -> bool:
        # NOTE: I'm all for trusting the third parties added here and not double checking
        # Hence removing the cross-check with multiple services

        res = False
        if algo.name in hashlib.algorithms_available:
            h = hashlib.new(algo.name)
            h.update(cracked.encode("utf-8"))

            if h.hexdigest().lower() == hash:
                res = True
        elif algo in [Algo.LDAP_MD5, Algo.LDAP_SHA1]:
            # NOTE: this is fucking ugly, almost tempted to leave the user do the pre-work
            # leaving for now for compatibility purposes
            alg = algo.name.split('_')[1]
            ahash = base64.decodestring(hash.split('}')[1])

            h = hashlib.new(alg)
            h.update(cracked.encode("utf-8"))

            if h.digest() == ahash:
                res =  True
        elif algo == Algo.NTLM or (algo == Algo.LM and ':' in hash):
            candidate = hashlib.new('md4', cracked.split()[-1].encode('utf-16le')).hexdigest()

            # It's a LM:NTLM combination or a single NTLM hash
            if (':' in hash and candidate == hash.split(':')[1]) or (':' not in hash and candidate == hash):
                res = True
        else:
            # Can't and won't validate the hash, assuming it's correct
            res = True

        return res 

# 需要導入模塊: import hashlib [as 別名]
# 或者: from hashlib import algorithms_available [as 別名]
def store_add_to_backend_with_multihash(
        image_id, data, size, hashing_algo, store,
        context=None, verifier=None):
    """
    A wrapper around a call to each store's add() method that requires
    a hashing_algo identifier and returns a 5-tuple including the
    "multihash" computed using the specified hashing_algo.  (This
    is an enhanced version of store_add_to_backend(), which is left
    as-is for backward compatibility.)

    :param image_id:  The image add to which data is added
    :param data: The data to be stored
    :param size: The length of the data in bytes
    :param store: The store to which the data is being added
    :param hashing_algo: A hashlib algorithm identifier (string)
    :param context: The request context
    :param verifier: An object used to verify signatures for images
    :return: The url location of the file,
             the size amount of data,
             the checksum of the data,
             the multihash of the data,
             the storage system's metadata dictionary for the location
    :raises: ``glance_store.exceptions.BackendException``
             ``glance_store.exceptions.UnknownHashingAlgo``
    """

    if hashing_algo not in hashlib.algorithms_available:
        raise exceptions.UnknownHashingAlgo(algo=hashing_algo)

    (location, size, checksum, multihash, metadata) = store.add(
        image_id, data, size, hashing_algo, context=context, verifier=verifier)

    if metadata is not None:
        _check_metadata(store, metadata)

    return (location, size, checksum, multihash, metadata) 

# 需要導入模塊: import hashlib [as 別名]
# 或者: from hashlib import algorithms_available [as 別名]
def __init__(self, file, mode='r'):
        basename = os.path.basename(file)
        self.parsed_filename = WHEEL_INFO_RE.match(basename)
        if not basename.endswith('.whl') or self.parsed_filename is None:
            raise WheelError("Bad wheel filename {!r}".format(basename))

        super(WheelFile, self).__init__(file, mode, compression=ZIP_DEFLATED, allowZip64=True)

        self.dist_info_path = '{}.dist-info'.format(self.parsed_filename.group('namever'))
        self.record_path = self.dist_info_path + '/RECORD'
        self._file_hashes = OrderedDict()
        self._file_sizes = {}
        if mode == 'r':
            # Ignore RECORD and any embedded wheel signatures
            self._file_hashes[self.record_path] = None, None
            self._file_hashes[self.record_path + '.jws'] = None, None
            self._file_hashes[self.record_path + '.p7s'] = None, None

            # Fill in the expected hashes by reading them from RECORD
            try:
                record = self.open(self.record_path)
            except KeyError:
                raise WheelError('Missing {} file'.format(self.record_path))

            with record:
                for line in record:
                    line = line.decode('utf-8')
                    path, hash_sum, size = line.rsplit(u',', 2)
                    if hash_sum:
                        algorithm, hash_sum = hash_sum.split(u'=')
                        if algorithm not in hashlib.algorithms_available:
                            raise WheelError('Unsupported hash algorithm: {}'.format(algorithm))
                        elif algorithm.lower() in {'md5', 'sha1'}:
                            raise WheelError(
                                'Weak hash algorithm ({}) is not permitted by PEP 427'
                                .format(algorithm))

                        self._file_hashes[path] = (
                            algorithm, urlsafe_b64decode(hash_sum.encode('ascii'))) 

# 需要導入模塊: import hashlib [as 別名]
# 或者: from hashlib import algorithms_available [as 別名]
def file_hash(fname, alg="sha256"):
    """
    Calculate the hash of a given file.

    Useful for checking if a file has changed or been corrupted.

    Parameters
    ----------
    fname : str
        The name of the file.
    alg : str
        The type of the hashing algorithm

    Returns
    -------
    hash : str
        The hash of the file.

    Examples
    --------

    >>> fname = "test-file-for-hash.txt"
    >>> with open(fname, "w") as f:
    ...     __ = f.write("content of the file")
    >>> print(file_hash(fname))
    0fc74468e6a9a829f103d069aeb2bb4f8646bad58bf146bb0e3379b759ec4a00
    >>> import os
    >>> os.remove(fname)

    """
    if alg not in hashlib.algorithms_available:
        raise ValueError("Algorithm '{}' not available in hashlib".format(alg))
    # Calculate the hash in chunks to avoid overloading the memory
    chunksize = 65536
    hasher = hashlib.new(alg)
    with open(fname, "rb") as fin:
        buff = fin.read(chunksize)
        while buff:
            hasher.update(buff)
            buff = fin.read(chunksize)
    return hasher.hexdigest() 

# 需要導入模塊: import hashlib [as 別名]
# 或者: from hashlib import algorithms_available [as 別名]
def makehash(_cmd, pld):
    """
    :param _cmd: The command object referenced in the command.
    :type _cmd: sigma.core.mechanics.command.SigmaCommand
    :param pld: The payload with execution data and details.
    :type pld: sigma.core.mechanics.payload.CommandPayload
    """
    if pld.args:
        if len(pld.args) >= 2:
            hash_name = pld.args[0]
            hashes = hashlib.algorithms_available
            if hash_name in hashes:
                qry = ' '.join(pld.args[1:])
                crypt = hashlib.new(hash_name)
                crypt.update(qry.encode('utf-8'))
                final = crypt.hexdigest()
                response = discord.Embed(color=0x66cc66)
                response.add_field(name=f'✅ Hashing With {hash_name.upper()} Done', value=f'```\n{final}\n```')
            else:
                response = discord.Embed(color=0xBE1931)
                response.add_field(name='❗ Unknown Hashing Method', value=f'Available:\n```\n{", ".join(hashes)}\n```')
        else:
            response = error('Not enough arguments.')
    else:
        response = error('Nothing inputted.')
    await pld.msg.channel.send(embed=response) 

# 需要導入模塊: import hashlib [as 別名]
# 或者: from hashlib import algorithms_available [as 別名]
def make_digesters(fpath, families, include_CRCs=False):
    """
    Create and return a dictionary of all our active hash algorithms.

    Each digester is a 2-tuple ``( digester.update_func(bytes), digest_func(digester) -> int)``.
    """
    ## TODO: simplify digester-tuple API, ie: (digester, update_func(d), digest_func(d))

    families = set(f.upper() for f in families)
    digesters = OrderedDict()

    digesters['LENGTH'] = (LenDigester(), LenDigester.digest)

    # Default Algos
    for algo in sorted(hashlib.algorithms_available):
        # algorithms_available can have duplicates
        aname = algo.upper()
        if aname not in digesters and is_algo_in_families(aname, families):
            digesters[aname] = (hashlib.new(algo), lambda d: d.hexdigest())

    # CRC
    if include_CRCs:
        for name in sorted(crcmod._crc_definitions_by_name):
            crc_name = crcmod._crc_definitions_by_name[name]['name']
            aname = crc_name.upper()
            if is_algo_in_families(aname, families):
                digesters[aname] = (crcmod.PredefinedCrc(crc_name),
                                    lambda d: hex(d.crcValue))

    add_git_digesters(digesters, fpath)

    ## Append plugin digesters.
    #
    digesters.update(known_digesters)
    for digester in list(digesters.keys()):
        if not is_algo_in_families(digester.upper(), families):
            digesters.pop(digester, None)

    return digesters