{"answers":{"affected":"5 open source packages ship an affected version, including keras. It affects 1 product.","exploited":"There is no known exploitation of CVE-2026-1669 in the wild and no public exploit code.","fix":"Upgrade keras to a fixed version for your release line: 3.12.1 or 3.13.2.","what":"CVE-2026-1669 is a high-severity path traversal vulnerability in Google Keras, published on 11 Feb 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-2026-1669 and fix it if it is affected.\n\nWhat it is: CVE-2026-1669 is a high-severity path traversal vulnerability in Google Keras, published on 11 Feb 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: There is no known exploitation of CVE-2026-1669 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- keras (PyPI): affected from 3.0.0; fixed in 3.12.1, 3.13.2\n- keras (PyPI): affected from 3.0.0; fixed in 3.12.1\n- keras (PyPI): affected from 3.0.0; fixed in 3.12.1\n- keras (PyPI): affected from 3.13.0; fixed in 3.13.2\n- keras (PyPI): affected from 3.13.0; fixed in 3.13.2\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-2026-1669/ (Markdown: https://insights.sbomify.com/CVE-2026-1669/index.md)","id":"CVE-2026-1669","markdown":"https://insights.sbomify.com/CVE-2026-1669/index.md","name":"CVE-2026-1669","record":{"aliases":["AZL-77414","DEBIAN-CVE-2026-1669","GHSA-3m4q-jmj6-r34q","MINI-q9rp-q92v-7v3x","PYSEC-2026-2546","UBUNTU-CVE-2026-1669"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["data_read"],"network_reachable":"yes","non_default_config":false,"product_category":"Keras deep learning library","requires_auth":"none","summary":"Attackers can read local files and disclose sensitive information by tricking users into loading a crafted Keras model file with malicious HDF5 references.","user_interaction":"required","vuln_class":"path_traversal"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"Google","cpe":[{"product":"keras","vendor":"keras"}],"cvss":{"score":7.1,"severity":"high","source":"cna","vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:L/VA:N/SC:N/SI:N/SA:N","version":"4.0"},"cwes":[{"id":"CWE-73","name":"External Control of File Name or Path"},{"id":"CWE-200","name":"Exposure of Sensitive Information to an Unauthorized Actor"}],"description":"Arbitrary file read in the model loading mechanism (HDF5 integration) in Keras versions 3.0.0 through 3.13.1 on all supported platforms allows a remote attacker to read local files and disclose sensitive information via a crafted .keras model file utilizing HDF5 external dataset references.","ecosystems":["PyPI"],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"none_known"},"has_fix":true,"headline":"Arbitrary File Read in Keras via HDF5 External Datasets","id":"CVE-2026-1669","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":null,"products":[],"type":"path_traversal","year":"2026"},"n_packages":5,"n_references":1,"next":{"headline":"Honeywell CCTV Products Missing Authentication for Critical Function","id":"CVE-2026-1670"},"packages":[{"ecosystem":"PyPI","fixed":["3.12.1","3.13.2"],"introduced":["3.0.0","3.13.0"],"last_affected":[],"package":"keras","purl":"pkg:pypi/keras","source":"PYSEC-2026-2546"},{"ecosystem":"PyPI","fixed":["3.12.1"],"introduced":["3.0.0"],"last_affected":[],"package":"keras","purl":null,"source":"GHSA-3m4q-jmj6-r34q"},{"ecosystem":"PyPI","fixed":["3.12.1"],"introduced":["3.0.0"],"last_affected":[],"package":"keras","purl":"pkg:pypi/keras","source":"GHSA-3m4q-jmj6-r34q"},{"ecosystem":"PyPI","fixed":["3.13.2"],"introduced":["3.13.0"],"last_affected":[],"package":"keras","purl":null,"source":"GHSA-3m4q-jmj6-r34q"},{"ecosystem":"PyPI","fixed":["3.13.2"],"introduced":["3.13.0"],"last_affected":[],"package":"keras","purl":"pkg:pypi/keras","source":"GHSA-3m4q-jmj6-r34q"}],"prev":{"headline":"Input Validation Vulnerability on Multiple Omada Switches","id":"CVE-2026-1668"},"products":["Keras"],"published":"2026-02-11","related":[{"cvss_score":9.8,"headline":"Arbitrary code injection vulnerability in Keras framework \u003c 2.13","id":"CVE-2024-3660","kev_date_added":null,"published":"2024-04-16"},{"cvss_score":8.8,"headline":"Deserialization of Untrusted Data in keras-team/keras","id":"CVE-2026-12481","kev_date_added":null,"published":"2026-07-03"},{"cvss_score":8.8,"headline":"Safe Mode Bypass in keras-team/keras","id":"CVE-2026-1462","kev_date_added":null,"published":"2026-04-13"},{"cvss_score":8.6,"headline":"Arbitrary Code execution in Keras Safe Mode","id":"CVE-2025-9906","kev_date_added":null,"published":"2025-09-19"},{"cvss_score":8.6,"headline":"Keras safe_mode bypass allows arbitrary code execution when loading a malicious model.","id":"CVE-2025-8747","kev_date_added":null,"published":"2025-08-11"},{"cvss_score":8.1,"headline":"Path Traversal in keras-team/keras","id":"CVE-2026-11816","kev_date_added":null,"published":"2026-06-11"},{"cvss_score":7.3,"headline":"Arbitary Code execution in Keras load_model()","id":"CVE-2025-9905","kev_date_added":null,"published":"2025-09-19"}],"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":"none","technical_impact":"partial"},"state":"PUBLISHED","updated":"2026-07-15","vendors":["Google"]},"summary":"Attackers can read local files and disclose sensitive information by tricking users into loading a crafted Keras model file with malicious HDF5 references.","url":"https://insights.sbomify.com/CVE-2026-1669/"}