{"id":"CVE-2026-57845","aliases":["EUVD-2026-109092","GHSA-9hc7-p88p-mwm8"],"status":"published","title":"Hugging Face Datasets through 5.1.0 Pickle Deserialization RCE via Pandas Builder","description":"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.","severity":{"version":"4.0","score":8.7,"vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N","level":"high","assessor":"cna","from":"cve"},"epss":{"day":"2026-11-12","score":0.00547,"percentile":0.4636,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":true,"fix_available":false},"cwes":["CWE-502"],"published":"2026-10-23T15:14:20Z","modified":"2026-10-31T02:30:30Z","exploits":[{"source":"pocgithub","id":"SaiTeja-Erukude/CVE-2026-57845-hf-datasets-rce","title":"SaiTeja-Erukude/CVE-2026-57845-hf-datasets-rce","date":"2026-10-23","url":"https://github.com/SaiTeja-Erukude/CVE-2026-57845-hf-datasets-rce"},{"source":"pocgithub","id":"Sun-Wukhan/pickle-sentry","title":"Sun-Wukhan/pickle-sentry","date":"2026-11-09","url":"https://github.com/Sun-Wukhan/pickle-sentry"}],"products":[{"vendor":"huggingface","product":"datasets"}],"references":[{"url":"https://github.com/SaiTeja-Erukude/CVE-2026-57845-hf-datasets-rce","tags":["technical-description","exploit","evidence"]},{"url":"https://github.com/huggingface/datasets/pull/8879","tags":["patch","fix"]},{"url":"https://www.vulncheck.com/advisories/hugging-face-datasets-pickle-deserialization-rce-via-pandas-builder","tags":["third-party-advisory","advisory"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2026-57845","tags":["advisory"]},{"url":"https://github.com/advisories/GHSA-9hc7-p88p-mwm8"},{"url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/57xxx/CVE-2026-57845.json","tags":["advisory"]},{"url":"https://github.com/huggingface/datasets","tags":["package"]}],"sources":{"cve":[{"id":"CVE-2026-57845","title":"Hugging Face Datasets through 5.1.0 Pickle Deserialization RCE via Pandas Builder","description":"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.","status":"published","published":"2026-10-23T15:14:20.497Z","modified":"2026-10-29T17:58:32.566Z","cvss":[{"version":"4.0","score":8.7,"vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N","level":"high","assessor":"cna"},{"version":"3.1","score":8.8,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high","assessor":"cna"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T13:43:44.898272Z"}],"euvd":[{"id":"EUVD-2026-109092","description":"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.","status":"published","published":"2026-10-23T15:14:20Z","modified":"2026-10-29T17:58:32Z","cvss":[{"version":"4.0","score":8.7,"vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N","level":"high"}],"updated_at":"2026-11-02T16:59:15.391097Z"}],"ghsa":[{"id":"GHSA-9hc7-p88p-mwm8","title":"Hugging Face Datasets through 5.1.0 contains an insecure deserialization vulnerability that...","description":"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.","status":"published","published":"2026-10-23T18:31:36Z","modified":"2026-10-23T18:31:36Z","cvss":[{"version":"3.1","score":8.8,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high"},{"version":"4.0","score":8.7,"vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X","level":"high"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T15:14:20.113334Z"}],"nvd":[{"id":"CVE-2026-57845","description":"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.","status":"published","published":"2026-10-23T16:16:52Z","modified":"2026-10-29T18:17:33.64Z","cvss":[{"version":"4.0","score":8.7,"vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X","level":"high","assessor":"secondary"},{"version":"3.1","score":8.8,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high","assessor":"secondary"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T14:13:03.126833Z"}],"osv":[{"id":"CVE-2026-57845","title":"Hugging Face Datasets through 5.1.0 Pickle Deserialization RCE via Pandas Builder","description":"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.","status":"published","published":"2026-10-23T15:14:20.497Z","modified":"2026-10-31T02:30:30.737370425Z","cvss":[{"version":"4.0","score":8.7,"vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N","level":"high"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T15:45:12.016252Z"}]}}