{"answers":{"affected":"3 open source packages ship an affected version, including datasets. It affects 1 product.","exploited":"It is not confirmed as exploited in the wild, but public exploit code for CVE-2026-66007 exists.","fix":"Upgrade datasets to 5.0.1 or later.","what":"CVE-2026-66007 is a medium-severity path traversal vulnerability in huggingface datasets, published on 24 Jul 2026. An attacker can exploit it over the internet without logging in, and only if a user opens a file or follows a link."},"fix_prompt":"Check this codebase for CVE-2026-66007 and fix it if it is affected.\n\nWhat it is: CVE-2026-66007 is a medium-severity path traversal vulnerability in huggingface datasets, published on 24 Jul 2026. An attacker can exploit it over the internet without logging in, and only if a user opens a file or follows a link.\nExploitation: It is not confirmed as exploited in the wild, but public exploit code for CVE-2026-66007 exists.\n\nAffected packages and fixed versions:\n- datasets (PyPI): affected all versions; fixed in 5.0.1\n- datasets (PyPI): affected all versions; fixed in 5.0.1\n- datasets (PyPI): affected all versions; fixed in 5.0.1\n\nTask:\n1. Search the dependency manifests and lockfiles (for example package.json, package-lock.json, requirements.txt, poetry.lock, uv.lock, pom.xml, build.gradle, go.mod, Cargo.lock, Gemfile.lock) and any Dockerfiles for the affected packages, including transitive dependencies.\n2. If an affected version is in use, upgrade it to the fixed version for its release line with the project's package manager, so the lockfile is regenerated. Prefer the smallest upgrade that fixes it.\n3. If there is no fix, or the upgrade would break the build, do not guess: explain the risk and the safest workaround instead.\n4. Run the tests and summarise what changed and why.\n5. If nothing in the project is affected, say so and change nothing.\n\nReference: https://insights.sbomify.com/CVE-2026-66007/ (Markdown: https://insights.sbomify.com/CVE-2026-66007/index.md)","id":"CVE-2026-66007","markdown":"https://insights.sbomify.com/CVE-2026-66007/index.md","name":"CVE-2026-66007","record":{"aliases":["GHSA-379c-qx7v-6h59","PYSEC-2026-3716"],"analysis":{"component_type":"library","fix_type":"patch","impacts":["data_read"],"network_reachable":"yes","non_default_config":false,"product_category":"Hugging Face Datasets","requires_auth":"none","summary":"Attackers can read arbitrary local files via crafted metadata in Hugging Face Datasets library, exposing sensitive data during dataset saving or pushing.","user_interaction":"required","vuln_class":"path_traversal"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"VulnCheck","cpe":[{"product":"datasets","vendor":"huggingface"}],"cvss":{"score":6.9,"severity":"medium","source":"cna","vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N","version":"4.0"},"cwes":[{"id":"CWE-22","name":"Improper Limitation of a Pathname to a Restricted Directory"}],"description":"Datasets through 5.0.0, fixed in commit f989ef9, contains a path traversal vulnerability in folder-based dataset builders where the file_name metadata field is not properly validated before being joined to the dataset directory. Attackers can supply crafted file_name values with directory traversal sequences to read arbitrary local files, which are then embedded into output when save_to_disk or push_to_hub is called.","ecosystems":["PyPI"],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"weaponised"},"has_fix":true,"headline":"Datasets Path Traversal via Unsanitized file_name Metadata","id":"CVE-2026-66007","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":null,"products":[],"type":"path_traversal","year":"2026"},"n_packages":3,"n_references":4,"next":{"headline":"Parse Server 9.0.0 Information Disclosure via GraphQL Error Messages","id":"CVE-2026-66008"},"packages":[{"ecosystem":"PyPI","fixed":["5.0.1"],"introduced":["0"],"last_affected":[],"package":"datasets","purl":null,"source":"GHSA-379c-qx7v-6h59"},{"ecosystem":"PyPI","fixed":["5.0.1"],"introduced":["0"],"last_affected":[],"package":"datasets","purl":"pkg:pypi/datasets","source":"GHSA-379c-qx7v-6h59"},{"ecosystem":"PyPI","fixed":["5.0.1"],"introduced":["0"],"last_affected":[],"package":"datasets","purl":"pkg:pypi/datasets","source":"PYSEC-2026-3716"}],"prev":{"headline":"lakeFS Unauthenticated Operator Metadata Overwrite via setup_comm_prefs","id":"CVE-2026-66006"},"products":["datasets"],"published":"2026-07-24","related":[],"sources":[{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"class":"attribution","licence":"CC BY 4.0","name":"GitHub Advisory Database","prefix":"GHSA"},{"class":"attribution","licence":"CC BY 4.0","name":"PyPA Advisory Database","prefix":"PYSEC"},{"class":"attribution","licence":"US public information, NVD API terms","name":"NVD"},{"class":"attribution","licence":"CWE Terms of Use","name":"CWE (MITRE)"},{"class":"attribution","licence":"FIRST CVSS licence","name":"CVSS (FIRST)"}],"ssvc":{"automatable":"no","exploitation":"poc","technical_impact":"partial"},"state":"PUBLISHED","updated":"2026-10-01","vendors":["huggingface"]},"summary":"Attackers can read arbitrary local files via crafted metadata in Hugging Face Datasets library, exposing sensitive data during dataset saving or pushing.","url":"https://insights.sbomify.com/CVE-2026-66007/"}