system: You are an expert security code reviewer. You will be shown a source code file along with a catalog of candidate CWE (Common Weakness Enumeration) categories with their official MITRE names. Your task is to list every distinct CWE from that catalog that is actually present in the code. The catalog is comprehensive for this dataset -- the answer is a (possibly small) subset of it.

OUTPUT FORMAT: Respond with a comma-separated list of CWE IDs in the form `CWE-N`, sorted in ascending numeric order, wrapped in a single \boxed{...}. Examples: `\boxed{CWE-79}` for one, `\boxed{CWE-22,CWE-79,CWE-327}` for three. Output the boxed answer ONLY -- no explanation, no other text.

user: ```python
# Imports
import numpy as np
import re
import string
import progressbar
import logging
logger = logging.getLogger(__name__)

# Import spacy
import spacy
import it_core_news_sm
nlp_it = it_core_news_sm.load()


############
# STOPWORDS
############

# Import list of stopwords from it_stop_words.py
from it_stop_words import get_italian_stop_words
my_it_stop_words = get_italian_stop_words()

# Import spacy italian stopwords
from spacy.lang.it.stop_words import STOP_WORDS as it_spacy_stopwords

# Import NLTK italian stopwords
import nltk
nltk.download('stopwords')
it_nltk_stopwords = nltk.corpus.stopwords.words('italian')

it_stopwords = set(it_spacy_stopwords) | set(it_nltk_stopwords) | my_it_stop_words

for stopword in it_stopwords:
    nlp_vocab = nlp_it.vocab[stopword]
    nlp_vocab.is_stop = True
    

##########################
# TEXT CLEANING FUNCTIONS
##########################

PATTERNS = {'urls': re.compile(r'https?://\S+|www\.\S+'),
            'users': re.compile(r'@[\w]*'),
            #'hashtags': re.compile(r'#[\w]*'),
            'digits': re.compile(r'(?<!\w)\d+|\d+(?!\w)'),
            'emojis': re.compile("["
                           u"\U0001F600-\U0001F64F"  # emoticons
                           u"\U0001F300-\U0001F5FF"  # symbols & pictographs
                           u"\U0001F680-\U0001F6FF"  # transport & map symbols
                           u"\U0001F1E0-\U0001F1FF"  # flags (iOS)
                           u"\U00002702-\U000027B0"
                           u"\U000024C2-\U0001F251"
                           "]+", flags=re.UNICODE)
}


def remove_patterns(text, patterns=PATTERNS.values()):
    for pattern in patterns:
        r = re.findall(pattern, text)
        for i in r:
            text = re.sub(re.escape(i), '', text)   
    return text


def remove_spaces(text):
    return ' '.join(text.split())
    
    
translator = str.maketrans(dict.fromkeys(string.punctuation))
def remove_punctuation(text):
    return text.translate(translator)


def lower_casing(text):
    return(text.lower())
    

PRE_NLP_pipeline  = [remove_patterns, remove_spaces]
POST_NLP_pipeline = [remove_punctuation, remove_spaces, lower_casing]


def clean_sentence(sentence, PRE_NLP_processing = PRE_NLP_pipeline, POST_NLP_processing = POST_NLP_pipeline, nlp = nlp_it):
    
    for process in PRE_NLP_processing:
        sentence = process(sentence)
    pre_nlp_sentence = sentence
    
    nlp_sentence = nlp(pre_nlp_sentence)
    #tokens = []
    lemmas = []
    for token in nlp_sentence:
        if not (token.is_stop or token.is_punct):
            #tokens.append(token.text)
            lemmas.append(token.lemma_)
            
    #tokens_sentence = ' '.join(tokens)
    lemmas_sentence = ' '.join(lemmas)
    
    for process in POST_NLP_processing:
        #tokens_sentence = process(tokens_sentence)
        lemmas_sentence = process(lemmas_sentence)
        
    return lemmas_sentence


def clean_content(data, PRE_NLP_processing = PRE_NLP_pipeline, POST_NLP_processing = POST_NLP_pipeline, nlp = nlp_it):

    logger.info('Cleaning content')
    cleaned_text = []
    for text in progressbar.progressbar(data):
        cleaned_text.append(
            clean_sentence(text, PRE_NLP_processing, POST_NLP_processing, nlp))
    return cleaned_text

```

Candidate CWE catalog (every CWE that appears anywhere in this dataset):
  - CWE-20: Improper Input Validation
  - CWE-22: Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
  - CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')
  - CWE-78: Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
  - CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
  - CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
  - CWE-94: Improper Control of Generation of Code ('Code Injection')
  - CWE-113: Improper Neutralization of CRLF Sequences in HTTP Headers ('HTTP Request/Response Splitting')
  - CWE-116: Improper Encoding or Escaping of Output
  - CWE-117: Improper Output Neutralization for Logs
  - CWE-200: Exposure of Sensitive Information to an Unauthorized Actor
  - CWE-209: Generation of Error Message Containing Sensitive Information
  - CWE-215: Insertion of Sensitive Information Into Debugging Code
  - CWE-295: Improper Certificate Validation
  - CWE-312: Cleartext Storage of Sensitive Information
  - CWE-326: Inadequate Encryption Strength
  - CWE-327: Use of a Broken or Risky Cryptographic Algorithm
  - CWE-377: Insecure Temporary File
  - CWE-502: Deserialization of Untrusted Data
  - CWE-601: URL Redirection to Untrusted Site ('Open Redirect')
  - CWE-611: Improper Restriction of XML External Entity Reference
  - CWE-614: Sensitive Cookie in HTTPS Session Without 'Secure' Attribute
  - CWE-643: Improper Neutralization of Data within XPath Expressions ('XPath Injection')
  - CWE-730: OWASP Top Ten 2004 Category A9 - Denial of Service
  - CWE-732: Incorrect Permission Assignment for Critical Resource
  - CWE-776: Improper Restriction of Recursive Entity References in DTDs ('XML Entity Expansion')
  - CWE-918: Server-Side Request Forgery (SSRF)
  - CWE-943: Improper Neutralization of Special Elements in Data Query Logic
  - CWE-1004: Sensitive Cookie Without 'HttpOnly' Flag
  - CWE-1333: Inefficient Regular Expression Complexity

List every distinct CWE from the catalog above that is actually present in this code.
Answer: CWE-20