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
"""Registry of most widely used datasets"""
import os
import shutil
import tarfile
import zipfile
from ...data import VOCDetection, COCODetection
from ...utils import download as _download, makedirs

__all__ = ['get_dataset', 'list_dataset']

_DATASETS = {}


def list_dataset():
    """List available dataset registered in auto data.

    Returns
    -------
    list
        List of names.

    """
    return list(_DATASETS.keys())

def get_dataset(ds_name, train=True, download=True):
    """Get the auto dataset with `ds_name`.

    Parameters
    ----------
    ds_name : str
        The name of dataset, you may view registered with `list_dataset`.
    train : bool, default is `True`
        If `True`, get the training set, if `False`, try to get the validation set.
    download : bool, default is `True`
        If `True`, download the dataset automatically if not found on disk.

    """
    if not ds_name in _DATASETS:
        choices = str(_DATASETS.keys())
        raise ValueError('{} not found. Available choices: {}'.format(ds_name, choices))
    ret = _DATASETS[ds_name](download=download)
    if not isinstance(ret, (list, tuple)):
        if train:
            return ret
        else:
            raise ValueError('No validation dataset available for {}'.format(ds_name))
    if train:
        return ret[0]
    else:
        if len(ret) < 2:
            raise ValueError('No validation dataset available for {}'.format(ds_name))
        return ret[1]

def _register_dataset(ds_name, fn):
    if ds_name in _DATASETS:
        raise ValueError('{} already been registered'.format(ds_name))
    assert callable(fn), "register with non-function is not allowed"
    _DATASETS[ds_name] = fn

def _pascal_0712_detection(download=True):
    root = os.environ.get('MXNET_HOME', os.path.join('~', '.mxnet'))
    root = os.path.expanduser(os.path.join(root, 'datasets', 'voc'))
    if not os.path.isdir(root):
        if not download:
            raise OSError('No `pascal` dataset found on disk and `download=False`')
        # download automatically
        makedirs(root)
        filename = _download('https://s3.amazonaws.com/fast-ai-imagelocal/pascal-voc.tgz',
                             path=root, overwrite=True)
        with tarfile.open(filename) as tar:
            tar.extractall(path=root)
        shutil.move(os.path.join(root, 'pascal-voc', 'VOC2007'), os.path.join(root, 'VOC2007'))
        shutil.move(os.path.join(root, 'pascal-voc', 'VOC2012'), os.path.join(root, 'VOC2012'))
        shutil.rmtree(os.path.join(root, 'pascal-voc'))
    return VOCDetection(root=root, splits=[(2007, 'trainval'), (2012, 'trainval')]), \
           VOCDetection(root=root, splits=[(2007, 'test')])

def _coco_2017_detection(download=True):
    root = os.environ.get('MXNET_HOME', os.path.join('~', '.mxnet'))
    root = os.path.expanduser(os.path.join(root, 'datasets', 'coco'))
    if not os.path.isdir(root):
        if not download:
            raise OSError('No `coco` dataset found on disk and `download=False`')
        # download automatically
        makedirs(root)
        _DOWNLOAD_URLS = [
            ('http://images.cocodataset.org/zips/train2017.zip',
             '10ad623668ab00c62c096f0ed636d6aff41faca5'),
            ('http://images.cocodataset.org/annotations/annotations_trainval2017.zip',
             '8551ee4bb5860311e79dace7e79cb91e432e78b3'),
            ('http://images.cocodataset.org/zips/val2017.zip',
             '4950dc9d00dbe1c933ee0170f5797584351d2a41'),
        ]
        for url, checksum in _DOWNLOAD_URLS:
            filename = _download(url, path=root, overwrite=True, sha1_hash=checksum)
            # extract
            with zipfile.ZipFile(filename) as zf:
                zf.extractall(path=root)
    return COCODetection(root=root, splits='instances_train2017'), \
           COCODetection(root=root, splits='instances_val2017', skip_empty=False)

_register_dataset('pascal_voc_0712_detection', _pascal_0712_detection)
_register_dataset('coco_2017_detection', _coco_2017_detection)

```

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-22