{"answers":{"affected":"3 open source packages ship an affected version, including keras. It affects 1 product.","exploited":"It is not confirmed as exploited in the wild, but public exploit code for CVE-2025-1550 exists.","fix":"Upgrade keras to a fixed version for your release line: 3.8.0 or 3.9.0.","what":"CVE-2025-1550 is a high-severity code injection vulnerability in Google Keras, published on 11 Mar 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-2025-1550 and fix it if it is affected.\n\nWhat it is: CVE-2025-1550 is a high-severity code injection vulnerability in Google Keras, published on 11 Mar 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: It is not confirmed as exploited in the wild, but public exploit code for CVE-2025-1550 exists.\n\nAffected packages and fixed versions:\n- keras (PyPI): affected from 3.0.0; fixed in 3.8.0\n- keras (PyPI): affected from 3.0.0; fixed in 3.9.0\n- keras (PyPI): affected from 3.0.0; fixed in 3.9.0\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-2025-1550/ (Markdown: https://insights.sbomify.com/CVE-2025-1550/index.md)","id":"CVE-2025-1550","markdown":"https://insights.sbomify.com/CVE-2025-1550/index.md","name":"CVE-2025-1550","record":{"aliases":["AZL-58360","GHSA-48g7-3x6r-xfhp","PYSEC-2025-122","UBUNTU-CVE-2025-1550"],"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 crafting a malicious Keras model archive, bypassing safe mode restrictions during model loading.","user_interaction":"required","vuln_class":"code_injection"},"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:L/AT:P/PR:L/UI:A/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H","version":"4.0"},"cwes":[{"id":"CWE-94","name":"Improper Control of Generation of Code"}],"description":"The Keras Model.load_model function permits arbitrary code execution, even with safe_mode=True, through a manually constructed, malicious .keras archive. By altering the config.json file within the archive, an attacker can specify arbitrary Python modules and functions, along with their arguments, to be loaded and executed during model loading.","ecosystems":["PyPI"],"exploits":{"exploitdb":1,"first_seen":"2025-07-16","github_poc":1,"max_poc_stars":0,"metasploit":0,"nuclei":0,"refs":[{"date":"2025-07-16","kind":"exploitdb","ref":"52359","stars":null,"title":"Keras 2.15 - Remote Code Execution (RCE)"},{"date":"2025-10-24T19:02:33Z","kind":"github_poc","ref":"https://github.com/ChCh0i/cve-2025-1550","stars":0,"title":null}],"tier":"weaponised"},"has_fix":true,"headline":"Arbitrary Code Execution via Crafted Keras Config for Model Loading","id":"CVE-2025-1550","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":null,"products":[],"type":"code_injection","year":"2025"},"n_packages":3,"n_references":2,"next":{"headline":"IBM Operational Decision Manager cross-site scripting","id":"CVE-2025-1551"},"packages":[{"ecosystem":"PyPI","fixed":["3.8.0"],"introduced":["3.0.0"],"last_affected":[],"package":"keras","purl":"pkg:pypi/keras","source":"PYSEC-2025-122"},{"ecosystem":"PyPI","fixed":["3.9.0"],"introduced":["3.0.0"],"last_affected":[],"package":"keras","purl":null,"source":"GHSA-48g7-3x6r-xfhp"},{"ecosystem":"PyPI","fixed":["3.9.0"],"introduced":["3.0.0"],"last_affected":[],"package":"keras","purl":"pkg:pypi/keras","source":"GHSA-48g7-3x6r-xfhp"}],"prev":{"headline":"WatchGuard Mobile VPN with SSL Local Privilege Escallation","id":"CVE-2025-1549"},"products":["Keras"],"published":"2025-03-11","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)"},{"class":"attribution","licence":"GPL-2.0-or-later","name":"Exploit-DB"},{"class":"open","licence":"CC0","name":"PoC-in-GitHub"}],"ssvc":{"automatable":"no","exploitation":"poc","technical_impact":"total"},"state":"PUBLISHED","updated":"2025-07-24","vendors":["Google"]},"summary":"Attackers can execute arbitrary code by crafting a malicious Keras model archive, bypassing safe mode restrictions during model loading.","url":"https://insights.sbomify.com/CVE-2025-1550/"}