BREW-RAPID-MLX-CVE-2024-3568 (GHSA-37Q5-V5QM-C9V8)
Vulnerability from osv_homebrew – Published: 2026-08-13 17:32 – Updated: 2026-09-10 20:37 – Source websiteThe huggingface/transformers library is vulnerable to arbitrary code execution through deserialization of untrusted data within the load_repo_checkpoint() function of the TFPreTrainedModel() class. Attackers can execute arbitrary code and commands by crafting a malicious serialized payload, exploiting the use of pickle.load() on data from potentially untrusted sources. This vulnerability allows for remote code execution (RCE) by deceiving victims into loading a seemingly harmless checkpoint during a normal training process, thereby enabling attackers to execute arbitrary code on the targeted machine.
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "transformers",
"resource_purl": "pkg:pypi/transformers@5.15.1",
"upstream_fixed_in": "4.38.0"
},
"package": {
"ecosystem": "Homebrew",
"name": "rapid-mlx",
"purl": "pkg:brew/rapid-mlx"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.12.11"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/transformers@5.15.1",
"name": "transformers",
"resource": "transformers",
"strategy": "registry",
"subject_version": "5.15.1"
}
]
},
"details": "The huggingface/transformers library is vulnerable to arbitrary code execution through deserialization of untrusted data within the `load_repo_checkpoint()` function of the `TFPreTrainedModel()` class. Attackers can execute arbitrary code and commands by crafting a malicious serialized payload, exploiting the use of `pickle.load()` on data from potentially untrusted sources. This vulnerability allows for remote code execution (RCE) by deceiving victims into loading a seemingly harmless checkpoint during a normal training process, thereby enabling attackers to execute arbitrary code on the targeted machine.",
"id": "BREW-rapid-mlx-CVE-2024-3568",
"modified": "2026-09-10T20:37:33Z",
"published": "2026-08-13T17:32:07Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-3568"
},
{
"type": "WEB",
"url": "https://github.com/huggingface/transformers/commit/693667b8ac8138b83f8adb6522ddaf42fa07c125"
},
{
"type": "PACKAGE",
"url": "https://github.com/huggingface/transformers"
},
{
"type": "WEB",
"url": "https://huntr.com/bounties/b3c36992-5264-4d7f-9906-a996efafba8f"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:C/C:N/I:N/A:L",
"type": "CVSS_V3"
}
],
"summary": "Transformers Deserialization of Untrusted Data vulnerability",
"upstream": [
"GHSA-37q5-v5qm-c9v8",
"CVE-2024-3568",
"PYSEC-2026-1978"
]
}
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.