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
# -*- coding: utf-8 -*-

import json
from tornado.web import Application, RequestHandler
from tornado.ioloop import IOLoop
import logging
import sys
from urllib.parse import unquote_plus
from taxonomy import taxonomy as taxonomy

from classification import Classificator

class ClassificationService(RequestHandler):

    def initialize(self):
        self.default_classificator = Classificator(taxonomy)

    def get(self):
        logging.debug("Received GET request")
        service_id = self.get_argument('service_id', default=None)
        text = self.get_argument('text')
        lang = self.get_argument('lang', default=None)
        taxonomy = self.get_argument('taxonomy', default=None)
        if taxonomy:
            taxonomy = json.loads(taxonomy)
            classificator = Classificator(taxonomy)
        else:
            classificator = self.default_classificator
        classification = classificator.classify(text)
        logging.debug(classification)
        result = self.__get_concepts_from_classification(classification)
        if result:
            self.write(json.dumps(result))
        else:
            self.write(json.dumps(['N/A']))

    def post(self):
        results = list()
        logging.debug("Received POST request")
        for line in str(self.request.body, 'utf8').split('\n'):
            fields = line.split('\t')
            text = unquote_plus(unquote_plus(fields[0]))
            logging.debug("Classificating %s" % text)
            classification = self.default_classificator.classify(text)
            result = {"text":text, "topics":self.__get_concepts_from_classification(classification)}
            results.append(result)
        self.write({"response":results})

    def __get_concepts_from_classification(self, classification):
        unique_concepts = set()
        for word, concepts in classification.items():
            unique_concepts|=set(concepts)
        return list(unique_concepts)

    def __format_post_classification(self, classification):
        concepts = self.__get_concepts_from_classification(classification)
        if concepts:
            return ';;'.join(concepts)
        else:
            return 'N/A'

print('Topic classification service started')

app = Application([(r'/', ClassificationService)])
app.listen(sys.argv[1])
IOLoop.instance().start()



```

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

  A) CWE-614: Sensitive Cookie in HTTPS Session Without 'Secure' Attribute
  B) CWE-1004: Sensitive Cookie Without 'HttpOnly' Flag
  C) CWE-22: Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
  D) CWE-117: Improper Output Neutralization for Logs
  E) CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
  F) CWE-94: Improper Control of Generation of Code ('Code Injection')
Answer: D,E