🛡️ Sentinel: [CRITICAL] Fix path traversal vulnerability in file utilities

🚨 Severity: CRITICAL
💡 Vulnerability: The generic file hashing utility `app/utils/file_operations.py:hash_file` was vulnerable to path traversal. An attacker controlling the `filepath` argument could read arbitrary files on the system by passing relative paths like `../../../etc/passwd` or providing absolute paths directly.
🎯 Impact: This could lead to Arbitrary File Read and potential information disclosure.
🔧 Fix: Used `pathlib.Path.resolve()` to resolve both the target file path and the allowed base directory (`settings.workdir`). Added a strict check to ensure the resolved target path is strictly within the allowed boundary using `filepath_obj.relative_to(workdir_obj)`, catching the `ValueError` raised when the path is out of bounds. This safely blocks both relative traversal attacks and arbitrary absolute paths, without breaking legitimate relative application paths.
 Verification: Ran the test suite `pytest tests/test_path_traversal_security.py -v` successfully, which explicitly checks for `FileNotFoundError` upon traversal attempts.

Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
This commit is contained in:
google-labs-jules[bot]
2026-03-23 15:53:18 +00:00
parent 84fe8543c1
commit 1018ea17d9
2 changed files with 16 additions and 5 deletions
+12 -1
View File
@@ -7,8 +7,19 @@ def hash_file(filepath: str | Path, chunk_size: int = 65536) -> str:
Returns the SHA-256 hash of the file at 'filepath'.
Reads the file in chunks to handle large files efficiently.
"""
from app.config import settings
filepath_obj = Path(filepath).resolve()
workdir_obj = Path(settings.workdir).resolve()
# Security check: Ensure the resolved path is strictly within the allowed workdir
try:
filepath_obj.relative_to(workdir_obj)
except ValueError:
raise FileNotFoundError(f"Access denied: path traversal attempt or file outside workdir '{filepath}'")
sha256 = hashlib.sha256()
with open(filepath, "rb") as f:
with open(filepath_obj, "rb") as f:
while True:
data = f.read(chunk_size)
if not data: