{"answers":{"affected":"3 open source packages ship an affected version, including keras. It affects 2 products.","exploited":"It is not confirmed as exploited in the wild, but public exploit code for CVE-2026-1462 exists.","fix":"Upgrade keras to 3.13.2 or later.","what":"CVE-2026-1462 is a high-severity unsafe deserialization vulnerability in keras-team/keras, published on 13 Apr 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-2026-1462 and fix it if it is affected.\n\nWhat it is: CVE-2026-1462 is a high-severity unsafe deserialization vulnerability in keras-team/keras, published on 13 Apr 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-2026-1462 exists.\n\nAffected packages and fixed versions:\n- keras (PyPI): affected all versions; fixed in 3.13.2\n- keras (PyPI): affected all versions; fixed in 3.13.2\n- keras (PyPI): affected all versions; 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-2026-1462/ (Markdown: https://insights.sbomify.com/CVE-2026-1462/index.md)","id":"CVE-2026-1462","markdown":"https://insights.sbomify.com/CVE-2026-1462/index.md","name":"CVE-2026-1462","record":{"aliases":["DEBIAN-CVE-2026-1462","GHSA-4f3f-g24h-fr8m","MINI-j2mx-xh6r-256r","PYSEC-2026-2547","UBUNTU-CVE-2026-1462"],"analysis":{"component_type":"library","fix_type":"patch","impacts":["code_execution"],"network_reachable":"yes","non_default_config":false,"product_category":"Keras deep learning library","requires_auth":"none","summary":"Attackers can execute arbitrary code by bypassing safe mode during the deserialization of Keras models containing malicious TensorFlow SavedModels.","user_interaction":"required","vuln_class":"deserialization"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"@huntr_ai","cpe":[{"product":"keras","vendor":"keras"},{"product":"openshift_ai","vendor":"redhat"}],"cvss":{"score":8.8,"severity":"high","source":"cna","vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","version":"3.0"},"cwes":[{"id":"CWE-502","name":"Deserialization of Untrusted Data"}],"description":"A vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of `.keras` models, even when `safe_mode=True`. This bypasses the security guarantees of `safe_mode` and enables arbitrary attacker-controlled code execution during model inference under the victim's privileges. The issue arises due to the unconditional loading of external SavedModels, serialization of attacker-controlled file paths, and the lack of validation in the `from_config()` method.","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":"Safe Mode Bypass in keras-team/keras","id":"CVE-2026-1462","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":null,"products":[],"type":"deserialization","year":"2026"},"n_packages":3,"n_references":2,"next":{"headline":"Photo Gallery, Sliders, Proofing and Themes – NextGEN Gallery \u003c= 4.0.4 - Authenticated (Author+) Local File Inclusion","id":"CVE-2026-1463"},"packages":[{"ecosystem":"PyPI","fixed":["3.13.2"],"introduced":["0"],"last_affected":[],"package":"keras","purl":null,"source":"GHSA-4f3f-g24h-fr8m"},{"ecosystem":"PyPI","fixed":["3.13.2"],"introduced":["0"],"last_affected":[],"package":"keras","purl":"pkg:pypi/keras","source":"GHSA-4f3f-g24h-fr8m"},{"ecosystem":"PyPI","fixed":["3.13.2"],"introduced":["0"],"last_affected":[],"package":"keras","purl":"pkg:pypi/keras","source":"PYSEC-2026-2547"}],"prev":{"headline":"Simple Membership \u003c= 4.7.0 - Unauthenticated Improper Handling of Missing Values","id":"CVE-2026-1461"},"products":["keras-team/keras"],"published":"2026-04-13","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":8.6,"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":"poc","technical_impact":"total"},"state":"PUBLISHED","updated":"2026-07-15","vendors":["keras-team"]},"summary":"Attackers can execute arbitrary code by bypassing safe mode during the deserialization of Keras models containing malicious TensorFlow SavedModels.","url":"https://insights.sbomify.com/CVE-2026-1462/"}