{"answers":{"affected":"3 open source packages ship an affected version, including keras. It affects 1 product.","exploited":"There is no known exploitation of CVE-2025-9905 in the wild and no public exploit code.","fix":"Upgrade keras to 3.11.3 or later.","what":"CVE-2025-9905 is a high-severity unsafe deserialization vulnerability in Keras-team Keras, published on 19 Sep 2025. It can only be exploited from the same machine or local network, and only if a user opens a file or follows a link."},"fix_prompt":"Check this codebase for CVE-2025-9905 and fix it if it is affected.\n\nWhat it is: CVE-2025-9905 is a high-severity unsafe deserialization vulnerability in Keras-team Keras, published on 19 Sep 2025. It can only be exploited from the same machine or local network, and only if a user opens a file or follows a link.\nExploitation: There is no known exploitation of CVE-2025-9905 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- keras (PyPI): affected from 3.0.0; fixed in 3.11.3\n- keras (PyPI): affected from 3.0.0; fixed in 3.11.3\n- keras (PyPI): affected from 3.0.0; fixed in 3.11.3\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-2025-9905/ (Markdown: https://insights.sbomify.com/CVE-2025-9905/index.md)","id":"CVE-2025-9905","markdown":"https://insights.sbomify.com/CVE-2025-9905/index.md","name":"CVE-2025-9905","record":{"aliases":["AZL-67505","DEBIAN-CVE-2025-9905","GHSA-36rr-ww3j-vrjv","PYSEC-2025-123","UBUNTU-CVE-2025-9905"],"analysis":{"component_type":"library","fix_type":"patch","impacts":["code_execution"],"network_reachable":"adjacent_or_local","non_default_config":false,"product_category":"Keras deep learning library","requires_auth":"low_privilege","summary":"Attackers can execute arbitrary code by loading malicious .h5 model files in Keras, bypassing safe_mode protections.","user_interaction":"required","vuln_class":"deserialization"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"Google","cpe":[{"product":"keras","vendor":"keras"}],"cvss":{"score":7.3,"severity":"high","source":"cna","vector":"CVSS:4.0/AV:L/AC:H/AT:P/PR:L/UI:P/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H","version":"4.0"},"cwes":[{"id":"CWE-913","name":"Improper Control of Dynamically-Managed Code Resources"}],"description":"The Keras Model.load_model method can be exploited to achieve arbitrary code execution, even with safe_mode=True.\n\nOne can create a specially crafted .h5/.hdf5 model archive that, when loaded via Model.load_model, will trigger arbitrary code to be executed.\n\nThis is achieved by crafting a special .h5 archive file that uses the Lambda layer feature of keras which allows arbitrary Python code in the form of pickled code. The vulnerability comes from the fact that the safe_mode=True option is not honored when reading .h5 archives.\n\nNote that the .h5/.hdf5 format is a legacy format supported by Keras 3 for backwards compatibility.","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":"Arbitary Code execution in Keras load_model()","id":"CVE-2025-9905","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":null,"products":[],"type":"deserialization","year":"2025"},"n_packages":3,"n_references":2,"next":{"headline":"Arbitrary Code execution in Keras Safe Mode","id":"CVE-2025-9906"},"packages":[{"ecosystem":"PyPI","fixed":["3.11.3"],"introduced":["3.0.0"],"last_affected":[],"package":"keras","purl":null,"source":"GHSA-36rr-ww3j-vrjv"},{"ecosystem":"PyPI","fixed":["3.11.3"],"introduced":["3.0.0"],"last_affected":[],"package":"keras","purl":"pkg:pypi/keras","source":"GHSA-36rr-ww3j-vrjv"},{"ecosystem":"PyPI","fixed":["3.11.3"],"introduced":["3.0.0"],"last_affected":[],"package":"keras","purl":"pkg:pypi/keras","source":"PYSEC-2025-123"}],"prev":{"headline":"Memory corruption in CARPS2 Printer Driver","id":"CVE-2025-9904"},"products":["Keras"],"published":"2025-09-19","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"}],"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":"total"},"state":"PUBLISHED","updated":"2026-02-26","vendors":["Keras-team"]},"summary":"Attackers can execute arbitrary code by loading malicious .h5 model files in Keras, bypassing safe_mode protections.","url":"https://insights.sbomify.com/CVE-2025-9905/"}