Vulnerability-Lookup

CVE-2026-4372 (GCVE-0-2026-4372)

Vulnerability from cvelistv5 – Published: 2026-05-24 13:40 – Updated: 2026-05-26 15:21

Title

Arbitrary Remote Code Execution via `_attn_implementation_internal` Config Injection in huggingface/transformers

Summary

A critical remote code execution vulnerability exists in all versions of the HuggingFace transformers library prior to version 5.3.0. The vulnerability allows an attacker to craft a malicious `config.json` file containing the `_attn_implementation_internal` field set to an attacker-controlled HuggingFace Hub repository ID. When a victim loads this model using the standard `AutoModelForCausalLM.from_pretrained()` API, the library downloads and executes arbitrary Python code from the attacker's repository with the victim's full OS privileges. This issue arises due to unfiltered deserialization of configuration attributes, insufficient sanitization of internal fields, and unsandboxed execution of downloaded kernels. The vulnerability bypasses the `trust_remote_code` security mechanism, is invisible to the victim, and exploits the standard documented usage pattern, making it particularly severe. Users are advised to upgrade to version 5.3.0 or later to mitigate this issue.

Severity

7.8 (High)


                        
                          CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator (v2.0.3)

CWE

CWE-1066 - Missing Serialization Control Element

Assigner

@huntr_ai

References

2 references

URL	Tags
https://huntr.com/bounties/1f693a6e-6836-4b8b-a0b…
https://github.com/huggingface/transformers/commi…

Impacted products

1 product

Vendor	Product	Version
huggingface	huggingface/transformers	Affected: unspecified , < 5.3.0 (custom)

Show details on NVD website

JSON

To clipboard

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FKIE_CVE-2026-4372

Vulnerability from fkie_nvd - Published: 2026-05-24 14:16 - Updated: 2026-06-17 10:56

Severity

7.8 (High) - CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Summary

References

	URL	Tags
	security@huntr.dev	https://github.com/huggingface/transformers/commit/a7f8e7ff37d87d1a1a0c8cf607971c607741452f	Patch
	security@huntr.dev	https://huntr.com/bounties/1f693a6e-6836-4b8b-a0bd-ca036fba8884	Exploit, Third Party Advisory

Impacted products

	Vendor	Product	Version
	huggingface	transformers	*

JSON

To clipboard

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "huggingface/transformers",
          "vendor": "huggingface",
          "versions": [
            {
              "lessThan": "5.3.0",
              "status": "affected",
              "version": "unspecified",
              "versionType": "custom"
            }
          ]
        }
      ],
      "source": "security@huntr.dev"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
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              "criteria": "cpe:2.3:a:huggingface:transformers:*:*:*:*:*:*:*:*",
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              "versionEndExcluding": "5.3.0",
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            }
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      "value": "A critical remote code execution vulnerability exists in all versions of the HuggingFace transformers library prior to version 5.3.0. The vulnerability allows an attacker to craft a malicious `config.json` file containing the `_attn_implementation_internal` field set to an attacker-controlled HuggingFace Hub repository ID. When a victim loads this model using the standard `AutoModelForCausalLM.from_pretrained()` API, the library downloads and executes arbitrary Python code from the attacker\u0027s repository with the victim\u0027s full OS privileges. This issue arises due to unfiltered deserialization of configuration attributes, insufficient sanitization of internal fields, and unsandboxed execution of downloaded kernels. The vulnerability bypasses the `trust_remote_code` security mechanism, is invisible to the victim, and exploits the standard documented usage pattern, making it particularly severe. Users are advised to upgrade to version 5.3.0 or later to mitigate this issue."
    }
  ],
  "id": "CVE-2026-4372",
  "lastModified": "2026-06-17T10:56:29.710",
  "metrics": {
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          "attackComplexity": "LOW",
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GHSA-29PF-2H5F-8G72

Vulnerability from github – Published: 2026-05-26 13:30 – Updated: 2026-07-01 18:00

Summary

HuggingFace transformers vulnerable to remote code execution

Details

A critical remote code execution vulnerability exists in all versions of the HuggingFace transformers library prior to version 5.3.0. The vulnerability allows an attacker to craft a malicious config.json file containing the _attn_implementation_internal field set to an attacker-controlled HuggingFace Hub repository ID. When a victim loads this model using the standard AutoModelForCausalLM.from_pretrained() API, the library downloads and executes arbitrary Python code from the attacker's repository with the victim's full OS privileges. This issue arises due to unfiltered deserialization of configuration attributes, insufficient sanitization of internal fields, and unsandboxed execution of downloaded kernels. The vulnerability bypasses the trust_remote_code security mechanism, is invisible to the victim, and exploits the standard documented usage pattern, making it particularly severe. Users are advised to upgrade to version 5.3.0 or later to mitigate this issue.

Severity

7.8 (High)


                  
                    CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "transformers"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "5.3.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-4372"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-1066",
      "CWE-502"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-07-01T18:00:10Z",
    "nvd_published_at": "2026-05-24T14:16:16Z",
    "severity": "HIGH"
  },
  "details": "A critical remote code execution vulnerability exists in all versions of the HuggingFace transformers library prior to version 5.3.0. The vulnerability allows an attacker to craft a malicious `config.json` file containing the `_attn_implementation_internal` field set to an attacker-controlled HuggingFace Hub repository ID. When a victim loads this model using the standard `AutoModelForCausalLM.from_pretrained()` API, the library downloads and executes arbitrary Python code from the attacker\u0027s repository with the victim\u0027s full OS privileges. This issue arises due to unfiltered deserialization of configuration attributes, insufficient sanitization of internal fields, and unsandboxed execution of downloaded kernels. The vulnerability bypasses the `trust_remote_code` security mechanism, is invisible to the victim, and exploits the standard documented usage pattern, making it particularly severe. Users are advised to upgrade to version 5.3.0 or later to mitigate this issue.",
  "id": "GHSA-29pf-2h5f-8g72",
  "modified": "2026-07-01T18:00:10Z",
  "published": "2026-05-26T13:30:33Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-4372"
    },
    {
      "type": "WEB",
      "url": "https://github.com/huggingface/transformers/commit/a7f8e7ff37d87d1a1a0c8cf607971c607741452f"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/huggingface/transformers"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/1f693a6e-6836-4b8b-a0bd-ca036fba8884"
    }
  ],
  "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"
    }
  ],
  "summary": "HuggingFace transformers vulnerable to remote code execution"
}

PYSEC-2026-2289

Vulnerability from pysec - Published: 2026-05-24 14:16 - Updated: 2026-07-13 05:52

Details

A critical remote code execution vulnerability exists in all versions of the HuggingFace transformers library prior to version 5.3.0. The vulnerability allows an attacker to craft a malicious config.json file containing the _attn_implementation_internal field set to an attacker-controlled HuggingFace Hub repository ID. When a victim loads this model using the standard AutoModelForCausalLM.from_pretrained() API, the library downloads and executes arbitrary Python code from the attacker's repository with the victim's full OS privileges. This issue arises due to unfiltered deserialization of configuration attributes, insufficient sanitization of internal fields, and unsandboxed execution of downloaded kernels. The vulnerability bypasses the trust_remote_code security mechanism, is invisible to the victim, and exploits the standard documented usage pattern, making it particularly severe. Users are advised to upgrade to version 5.3.0 or later to mitigate this issue.

Severity

7.8 (High)


                  
                    CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Impacted products

Name	purl
transformers	pkg:pypi/transformers

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "ecosystem_specific": {},
      "package": {
        "ecosystem": "PyPI",
        "name": "transformers",
        "purl": "pkg:pypi/transformers"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "5.3.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.1",
        "2.0.0",
        "2.1.0",
        "2.1.1",
        "2.10.0",
        "2.11.0",
        "2.2.0",
        "2.2.1",
        "2.2.2",
        "2.3.0",
        "2.4.0",
        "2.4.1",
        "2.5.0",
        "2.5.1",
        "2.6.0",
        "2.7.0",
        "2.8.0",
        "2.9.0",
        "2.9.1",
        "3.0.0",
        "3.0.1",
        "3.0.2",
        "3.1.0",
        "3.2.0",
        "3.3.0",
        "3.3.1",
        "3.4.0",
        "3.5.0",
        "3.5.1",
        "4.0.0",
        "4.0.0rc1",
        "4.0.1",
        "4.1.0",
        "4.1.1",
        "4.10.0",
        "4.10.1",
        "4.10.2",
        "4.10.3",
        "4.11.0",
        "4.11.1",
        "4.11.2",
        "4.11.3",
        "4.12.0",
        "4.12.1",
        "4.12.2",
        "4.12.3",
        "4.12.4",
        "4.12.5",
        "4.13.0",
        "4.14.0",
        "4.14.1",
        "4.15.0",
        "4.16.0",
        "4.16.1",
        "4.16.2",
        "4.17.0",
        "4.18.0",
        "4.19.0",
        "4.19.1",
        "4.19.2",
        "4.19.3",
        "4.19.4",
        "4.2.0",
        "4.2.1",
        "4.2.2",
        "4.20.0",
        "4.20.1",
        "4.21.0",
        "4.21.1",
        "4.21.2",
        "4.21.3",
        "4.22.0",
        "4.22.1",
        "4.22.2",
        "4.23.0",
        "4.23.1",
        "4.24.0",
        "4.25.0",
        "4.25.1",
        "4.26.0",
        "4.26.1",
        "4.27.0",
        "4.27.1",
        "4.27.2",
        "4.27.3",
        "4.27.4",
        "4.28.0",
        "4.28.1",
        "4.29.0",
        "4.29.1",
        "4.29.2",
        "4.3.0",
        "4.3.0rc1",
        "4.3.1",
        "4.3.2",
        "4.3.3",
        "4.30.0",
        "4.30.1",
        "4.30.2",
        "4.31.0",
        "4.32.0",
        "4.32.1",
        "4.33.0",
        "4.33.1",
        "4.33.2",
        "4.33.3",
        "4.34.0",
        "4.34.1",
        "4.35.0",
        "4.35.1",
        "4.35.2",
        "4.36.0",
        "4.36.1",
        "4.36.2",
        "4.37.0",
        "4.37.1",
        "4.37.2",
        "4.38.0",
        "4.38.1",
        "4.38.2",
        "4.39.0",
        "4.39.1",
        "4.39.2",
        "4.39.3",
        "4.4.0",
        "4.4.1",
        "4.4.2",
        "4.40.0",
        "4.40.1",
        "4.40.2",
        "4.41.0",
        "4.41.1",
        "4.41.2",
        "4.42.0",
        "4.42.1",
        "4.42.2",
        "4.42.3",
        "4.42.4",
        "4.43.0",
        "4.43.1",
        "4.43.2",
        "4.43.3",
        "4.43.4",
        "4.44.0",
        "4.44.1",
        "4.44.2",
        "4.45.0",
        "4.45.1",
        "4.45.2",
        "4.46.0",
        "4.46.1",
        "4.46.2",
        "4.46.3",
        "4.47.0",
        "4.47.1",
        "4.48.0",
        "4.48.1",
        "4.48.2",
        "4.48.3",
        "4.49.0",
        "4.5.0",
        "4.5.1",
        "4.50.0",
        "4.50.1",
        "4.50.2",
        "4.50.3",
        "4.51.0",
        "4.51.1",
        "4.51.2",
        "4.51.3",
        "4.52.0",
        "4.52.1",
        "4.52.2",
        "4.52.3",
        "4.52.4",
        "4.53.0",
        "4.53.1",
        "4.53.2",
        "4.53.3",
        "4.54.0",
        "4.54.1",
        "4.55.0",
        "4.55.1",
        "4.55.2",
        "4.55.3",
        "4.55.4",
        "4.56.0",
        "4.56.1",
        "4.56.2",
        "4.57.0",
        "4.57.1",
        "4.57.2",
        "4.57.3",
        "4.57.4",
        "4.57.5",
        "4.57.6",
        "4.6.0",
        "4.6.1",
        "4.7.0",
        "4.8.0",
        "4.8.1",
        "4.8.2",
        "4.9.0",
        "4.9.1",
        "4.9.2",
        "5.0.0",
        "5.0.0rc0",
        "5.0.0rc1",
        "5.0.0rc2",
        "5.0.0rc3",
        "5.1.0",
        "5.2.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-4372",
    "GHSA-29pf-2h5f-8g72"
  ],
  "details": "A critical remote code execution vulnerability exists in all versions of the HuggingFace transformers library prior to version 5.3.0. The vulnerability allows an attacker to craft a malicious `config.json` file containing the `_attn_implementation_internal` field set to an attacker-controlled HuggingFace Hub repository ID. When a victim loads this model using the standard `AutoModelForCausalLM.from_pretrained()` API, the library downloads and executes arbitrary Python code from the attacker\u0027s repository with the victim\u0027s full OS privileges. This issue arises due to unfiltered deserialization of configuration attributes, insufficient sanitization of internal fields, and unsandboxed execution of downloaded kernels. The vulnerability bypasses the `trust_remote_code` security mechanism, is invisible to the victim, and exploits the standard documented usage pattern, making it particularly severe. Users are advised to upgrade to version 5.3.0 or later to mitigate this issue.",
  "id": "PYSEC-2026-2289",
  "modified": "2026-07-13T05:52:14.680140Z",
  "published": "2026-05-24T14:16:16.917Z",
  "references": [
    {
      "type": "FIX",
      "url": "https://github.com/huggingface/transformers/commit/a7f8e7ff37d87d1a1a0c8cf607971c607741452f"
    },
    {
      "type": "EVIDENCE",
      "url": "https://huntr.com/bounties/1f693a6e-6836-4b8b-a0bd-ca036fba8884"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-29pf-2h5f-8g72"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

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.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.

Action not permitted

CVE-2026-4372 (GCVE-0-2026-4372)

FKIE_CVE-2026-4372

GHSA-29PF-2H5F-8G72

PYSEC-2026-2289

Tags

Sightings

Nomenclature