GHSA-37q5-v5qm-c9v8

Suggest an improvement
Source
https://github.com/advisories/GHSA-37q5-v5qm-c9v8
Import Source
https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2024/04/GHSA-37q5-v5qm-c9v8/GHSA-37q5-v5qm-c9v8.json
JSON Data
https://api.test.osv.dev/v1/vulns/GHSA-37q5-v5qm-c9v8
Aliases
Published
2024-04-10T18:30:48Z
Modified
2024-04-10T22:43:58.204319Z
Severity
  • 3.4 (Low) CVSS_V3 - CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:C/C:N/I:N/A:L CVSS Calculator
Summary
Transformers Deserialization of Untrusted Data vulnerability
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.

Database specific
{
    "nvd_published_at": "2024-04-10T17:15:58Z",
    "cwe_ids": [
        "CWE-502"
    ],
    "severity": "LOW",
    "github_reviewed": true,
    "github_reviewed_at": "2024-04-10T22:20:56Z"
}
References

Affected packages

PyPI / transformers

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
0Unknown introduced version / All previous versions are affected
Fixed
4.38.0

Affected versions

0.*

0.1

2.*

2.0.0
2.1.0
2.1.1
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
2.10.0
2.11.0

3.*

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.*

4.0.0rc1
4.0.0
4.0.1
4.1.0
4.1.1
4.2.0
4.2.1
4.2.2
4.3.0rc1
4.3.0
4.3.1
4.3.2
4.3.3
4.4.0
4.4.1
4.4.2
4.5.0
4.5.1
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
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
4.20.0
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
4.30.0
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