10def parse_log_file(log_file_path):
11 log_data = []
12 # Read the log file into a pandas DataFrame
13 with open(log_file_path, mode='r') as file: 14 csvFile = csv.DictReader(file, delimiter='\t', fieldnames=["timestamp", "level", "thread", "trace", "message"])
15 for line in csvFile:
16 log_data.append(line)
Python's open()
function can take in a relative or absolute path and read its file contents.
If a user is provided direct access to the path that is opened, it can have serious security risks.
def read_file(path):
with open(os.path.join('some/path', path)) as f:
f.read()
# Someone can exploit `read_file` and see your secrets this way:
read_file('../../../secrets.txt')
Either use a static path:
def read_file(path):
with open('some/path/to/file.txt') as f:
f.read()
Or, do some kind of validation to make sure you're not allowing arbitrary file access:
def read_file(filename):
if filename not in ('x.txt', 'y.txt'):
return 'Invalid filename'
with open(os.path.join('some/path', path)) as f:
f.read()