CVE-2026-57845High· 7.8▾ MidnightPoC availableA flaw was found in datasets. This vulnerability allows an attacker to achieve arbitrary code execution by convincing a victim to load a maliciously crafted dataset file. Due to insecure deserialization—the process of restoring saved data …
▾ Midnight zone — Critical, or high with PoC / in-the-wild
impact 42.9 · likelihood 0 · exploitation 12
A public proof-of-concept already exists for this vulnerability — see Exploit availability below.
Public exploit / PoC code seen in 1 source. Availability, not in-the-wild use.
Disclosure to exploitation, from the record and what we observed since indexing it.
Disclosed via CSAF
1 GitHub repo (last check)
8.8 → 7.8
A flaw was found in datasets. This vulnerability allows an attacker to achieve arbitrary code execution by convincing a victim to load a maliciously crafted dataset file. Due to insecure deserialization—the process of restoring saved data back into program objects—untrusted data loaded through the pandas dataset builder is processed without validation. Consequently, opening a malicious file executes arbitrary Python code with the privileges of the running process.
datasets: datasets: Arbitrary code execution via insecure pickle deserialization — rated Important by Red Hat. Released 2026-10-23.
Affected:
No fix planned:
Affected
Field changes observed since this record was first indexed.
Connected by shared product, vendor, weakness, or advisory.
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