PatchSiren cyber security CVE debrief
CVE-2026-57845 huggingface CVE debrief
Hugging Face Datasets through 5.1.0 contains an insecure deserialization vulnerability allowing attackers to execute arbitrary Python code by crafting a malicious pickle file loaded through the deprecated pandas packaged builder. This vulnerability is triggered when a victim calls datasets.load_dataset('pandas', data_files=...), processing the pickle-backed dataset without validation, and executing the embedded __reduce__ payload with the victim process's privileges. The vulnerability allows for arbitrary code execution with the privileges of the victim process. Defenders should assess exposure and prioritize verification and remediation efforts.
- Vendor
- huggingface
- Product
- datasets
- CVSS
- HIGH 8.7
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-10-23
- Original CVE updated
- 2026-10-29
- Advisory published
- 2026-10-23
- Advisory updated
- 2026-10-29
Who should care
Defenders responsible for maintaining and securing environments using Hugging Face Datasets should assess exposure and prioritize verification and remediation efforts. This includes operators, platform administrators, vulnerability management teams, and security teams that use Hugging Face Datasets.
Why it matters
CVE-2026-57845 is a high-severity vulnerability in Hugging Face Datasets that allows for arbitrary code execution. Defenders should prioritize verification, remediation, and monitoring efforts to prevent exploitation.
- Potential for arbitrary code execution with victim process privileges
- Need for verification of Hugging Face Datasets version and exposure in environments
- Priority for updating to a secure version or implementing compensating controls
- Importance of monitoring for suspicious activity related to Hugging Face Datasets
Technical summary
The Hugging Face Datasets library through version 5.1.0 contains an insecure deserialization vulnerability. This vulnerability allows attackers to execute arbitrary Python code by crafting a malicious pickle file loaded through the deprecated pandas packaged builder. The vulnerability is triggered when a victim calls datasets.load_dataset('pandas', data_files=...), which processes the pickle-backed dataset without validation, executing the embedded __reduce__ payload with the victim process's privileges.
Defensive priority
Defenders should prioritize verifying and updating Hugging Face Datasets to a secure version, assessing exposure in their environments, and implementing compensating controls to prevent exploitation.
Recommended defensive actions
- Verify Hugging Face Datasets version and update to a secure version if necessary
- Assess exposure in environments using Hugging Face Datasets
- Implement compensating controls to prevent exploitation
- Monitor for suspicious activity related to Hugging Face Datasets
- Review relevant monitoring, detection, and logs for exposed assets that need extra review
- Track exceptions, retest remediated assets, and close the item only after evidence is documented
- Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
Evidence notes
The CVE record and source item provide details on the vulnerability, including its description, affected versions, and references to additional information. The vulnerability is confirmed to exist in Hugging Face Datasets through version 5.1.0. There are no known details on currently affected or unaffected versions beyond 5.1.0. Defenders should verify Hugging Face Datasets version and exposure in their environments.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-57845 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-57845
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-57845 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-57845
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Hugging Face Datasets through 5.1.0 Pickle Deserialization RCE via Pandas Builder
Unverified legacy reference
URL: https://raw.githubusercontent.com/CVEProject/cvelistV5/main/cves/2026/57xxx/CVE-2026-57845.json
cve_program_cvelist_v5
-
Source reference
Unverified legacy reference
URL: https://github.com/SaiTeja-Erukude/CVE-2026-57845-hf-datasets-rce
Supplemental source - technical-description, exploit
-
Source reference
Unverified legacy reference
URL: https://github.com/huggingface/datasets/pull/8879
Supplemental source - patch
-
Source reference
Unverified legacy reference
URL: https://www.vulncheck.com/advisories/hugging-face-datasets-pickle-deserialization-rce-via-pandas-builder
Supplemental source - third-party-advisory
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.