system: You are an expert security code reviewer. You will be shown a source code file along with a multi-select question listing several CWE (Common Weakness Enumeration) categories. Your task is to identify which of the listed CWEs are present in the code.

OUTPUT FORMAT: Respond with the letter(s) of all correct options, sorted alphabetically and comma-separated, wrapped in a single \boxed{...}. Examples: `\boxed{A}` for one correct, `\boxed{A,C}` for two, `\boxed{A,C,E}` for three. Output the boxed answer ONLY -- no explanation, no other text.

user: ```python
#!/usr/bin/env python

"""standardise_chembl_compounds.py

Processes ChEMBL compound files, and generates a 'standard'
tab-separated output.
Download ChEMBL from here: ftp://ftp.ebi.ac.uk/pub/databases/chembl/ChEMBLdb/latest/

Unlike most other sources of molecules where the structures are specified as SMILES with ChEMBL
the structures are in SDF format which means that the osmiles data must be generated from the CTAB
section by RDKit. It is therefore not 100% guaranteed to exactly represent the structure.

We create a 'chembl-standardised-compounds.tab' file that contains a 1st-line
'header' consisting of OSMILES\tISO_SMILES\tNONISO_SMILES\tHAC\tCMPD_ID.

Tim Dudgeon
December 2019
"""

import argparse
import gzip
import logging
import os
import sys

from rdkit import Chem, RDLogger

from frag.utils import standardise_utils
from frag.std_utils import parser

# Configure basic logging
logger = logging.getLogger('chembl')
out_hdlr = logging.StreamHandler(sys.stdout)
formatter = logging.Formatter('%(asctime)s %(levelname)s # %(message)s',
                              '%Y-%m-%dT%H:%M:%S')
out_hdlr.setFormatter(formatter)
out_hdlr.setLevel(logging.INFO)
logger.addHandler(out_hdlr)
logger.setLevel(logging.INFO)

# The columns in our output file.
# In this file we don't add any of our own.
_OUTPUT_COLUMNS = parser.STANDARD_COLUMNS


# The output file.
# Which will be gzipped.
output_filename = 'standardised-compounds.tab'

# The prefix we use in our fragment file
vendor_prefix = 'CHEMBL:'

# All the vendor compound IDs
vendor_compounds = set()

# Various diagnostic counts
num_vendor_mols = 0
num_vendor_molecule_failures = 0

# The line rate at which the process writes updates to stdout.
report_rate = 50000


def error(msg):
    """Prints an error message and exists.

    :param msg: The message to print
    """
    logger.error('ERROR: {}'.format(msg))
    sys.exit(1)


def standardise_vendor_compounds(output_file, file_name, limit):
    """Process the given file and standardise the vendor
    information, writing it as tab-separated fields to the output.

    As we load the Vendor compounds we 'standardise' the SMILES and
    determine whether they represent an isomer or not.

    :param output_file: The tab-separated standardised output file
    :param file_name: The (compressed) file to process
    :param limit: Limit processing to this number of values (or all if 0)
    :returns: The number of items processed
    """
    global vendor_compounds
    global num_vendor_mols
    global num_vendor_molecule_failures

    logger.info('Standardising %s...', file_name)

    count = 0
    num_processed = 0

    with gzip.open(file_name, 'rb') as input:

        suppl = Chem.ForwardSDMolSupplier(input)

        for mol in suppl:

            count += 1

            if mol is None:
                logger.warning("Failed to handle record %s", count)
                continue

            chembl_id = mol.GetProp('chembl_id')

            if count % report_rate == 0:
                logger.info(' ...at compound {:,}'.format(count))

            osmiles = Chem.MolToSmiles(mol)
            # generate the ID. The data in the chembl_id field looks like CHEMBL153534
            # so we need to string off the CHEMBL bit as our generated ID looks like CHEMBL:153534
            compound_id = vendor_prefix + chembl_id[6:]

            # Add the compound (expected to be unique)
            # to our set of 'all compounds'.
            if compound_id in vendor_compounds:
                error('Duplicate compound ID ({})'.format(compound_id))
            vendor_compounds.add(compound_id)

            # Standardise and update global maps...
            # And try and handle and report any catastrophic errors
            # from dependent modules/functions.

            std_info = standardise_utils.standardise(osmiles)
            if not std_info.std:
                num_vendor_molecule_failures += 1
                continue
            num_vendor_mols += 1

            # Write the standardised data

            output = [osmiles,
                      std_info.iso,
                      std_info.noniso,
                      std_info.hac,
                      compound_id]

            output_file.write('\t'.join(output) + '\n')

            # Enough?
            num_processed += 1
            if limit and num_processed >= limit:
                break

    return num_processed


if __name__ == '__main__':

    parser = argparse.ArgumentParser('Vendor Compound Standardiser (ChEMBL)')
    parser.add_argument('--input', '-i',
                        help='The ChEMBL chembl_*.sdf.gz file to be processed.')
    parser.add_argument('--output', '-o',
                        help='The output directory')
    parser.add_argument('--output-is-prefix',
                        action='store_true',
                        help='Use the output as filename prefix rather than'
                             ' a directory. This is useful in nextflow'
                             ' workflows')
    parser.add_argument('--limit', '-l',
                        type=int, default=0,
                        help='Limit processing to the first N molecules,'
                             ' process all otherwise')

    args = parser.parse_args()

    # Output is either a fixed name in an output directory
    # or a prefixed filename (without an output directory)
    if args.output_is_prefix:
        output_filename = '{}.{}.gz'.format(args.output, output_filename)
    else:
        # Create the output directory
        if os.path.exists(args.output):
            logger.error('Output exists')
            sys.exit(1)
        os.mkdir(args.output)
        os.chmod(args.output, 0o777)
        output_filename = os.path.join(args.output,
                                       '{}.gz'.format(output_filename))

    # Suppress basic RDKit logging...
    RDLogger.logger().setLevel(RDLogger.ERROR)

    # Report any limiting...?
    if args.limit:
        logger.warning('Limiting processing to first {:,} molecules'.format(args.limit))


    # Open the file we'll write the standardised data set to.
    # A text, tab-separated file.
    logger.info('Writing %s...', output_filename)
    num_processed = 0
    with gzip.open(output_filename, 'wt') as output_gzip_file:

        # Write the header...
        output_gzip_file.write('\t'.join(_OUTPUT_COLUMNS) + '\n')

        # Process all the Vendor files...

        num_processed += standardise_vendor_compounds(output_gzip_file,
                                                          args.input,
                                                          args.limit)

    logger.info("Processed %s records", num_processed)

    # Summary
    logger.info('{:,} vendor molecules'.format(num_vendor_mols))
    logger.info('{:,} vendor molecule failures'.format(num_vendor_molecule_failures))

```

Which of the following CWE vulnerability categories are present in this code? Multiple options may be correct.

  A) CWE-326: Inadequate Encryption Strength
  B) CWE-732: Incorrect Permission Assignment for Critical Resource
  C) CWE-643: Improper Neutralization of Data within XPath Expressions ('XPath Injection')
  D) CWE-113: Improper Neutralization of CRLF Sequences in HTTP Headers ('HTTP Request/Response Splitting')
  E) CWE-116: Improper Encoding or Escaping of Output
  F) CWE-730: OWASP Top Ten 2004 Category A9 - Denial of Service
Answer: B