HIGH 8.7 NVD
CVE-2026-57845
Hugging Face Datasets through 5.1.0 contains an insecure deserialization vulnerability that allows attackers to execute arbitrary Python code by crafting a mali
Hugging Face Datasets through 5.1.0 contains an insecure deserialization vulnerability that allows attackers to execute arbitrary Python code by crafting a malicious pickle file loaded through the deprecated pandas packaged builder. Attackers can supply a pickle-backed dataset that is processed by Pandas._generate_tables via pandas.read_pickle() without validation, so when a victim calls datasets.load_dataset("pandas", data_files=...), the embedded __reduce__ payload executes code with the victim process's privileges.
References
- https://github.com/SaiTeja-Erukude/CVE-2026-57845-hf-datasets-rce
- https://github.com/huggingface/datasets/pull/8879
- https://www.vulncheck.com/advisories/hugging-face-datasets-pickle-deserialization-rce-via-
This high severity vulnerability with a CVSS score of 8.7 was published on 2026-10-23 via NVD.
vulnfeed aggregates 15176 vulnerabilities from NVD, CISA KEV,
Ubuntu, Debian, Red Hat, Kubernetes, Exploit-DB, OSS-Security, GitHub and OpenStack — updated every 4 hours.