{"answers":{"affected":"","exploited":"There is no known exploitation of CVE-2026-90614 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2026-90614 yet. Limit exposure of the affected software until one is available.","what":"CVE-2026-90614 is a medium-severity unsafe deserialization vulnerability in FedML-AI FedML, published on 14 Sep 2026. Any signed-in user can exploit it over the network, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2026-90614 and fix it if it is affected.\n\nWhat it is: CVE-2026-90614 is a medium-severity unsafe deserialization vulnerability in FedML-AI FedML, published on 14 Sep 2026. Any signed-in user can exploit it over the network, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2026-90614 in the wild and no public exploit code.\n\nAffected product: FedML-AI FedML. No package-level version data is available, so check the vendor advisory linked from the reference page.\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-2026-90614/ (Markdown: https://insights.sbomify.com/CVE-2026-90614/index.md)","id":"CVE-2026-90614","markdown":"https://insights.sbomify.com/CVE-2026-90614/index.md","name":"CVE-2026-90614","record":{"aliases":["GHSA-96qh-x5p5-9v7x"],"analysis":{"component_type":"library","fix_type":"no_fix_stated","impacts":["code_execution"],"network_reachable":"yes","non_default_config":false,"product_category":"FedML machine learning library","requires_auth":"low_privilege","summary":"Remote attackers can execute arbitrary code via unsafe deserialization in the S3Storage.read_model function of the FedML library.","user_interaction":"not_required","vuln_class":"deserialization"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"VulDB","cpe":[],"cvss":{"score":5.3,"severity":"medium","source":"cna","vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X","version":"4.0"},"cwes":[{"id":"CWE-502","name":"Deserialization of Untrusted Data"},{"id":"CWE-20","name":"Improper Input Validation"}],"description":"A weakness has been identified in FedML-AI FedML up to 0.9.6. Affected by this issue is the function S3Storage.read_model of the file fedml/core/distributed/communication/s3/remote_storage.py of the component MQTT+S3 Communication Backend. This manipulation of the argument s3_key_str causes deserialization. Remote exploitation of the attack is possible. The project was informed of the problem early through an issue report but has not responded yet.","ecosystems":[],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"none_known"},"has_fix":null,"headline":"FedML-AI FedML MQTT+S3 Communication Backend remote_storage.py S3Storage.read_model deserialization","id":"CVE-2026-90614","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"deserialization","year":"2026"},"n_packages":0,"n_references":6,"next":{"headline":"SourceCodester Class and Exam Timetabling System subject1.php cross site scripting","id":"CVE-2026-90615"},"packages":[],"prev":{"headline":"GPAC MP4Box stbl_read.c stbl_GetSampleInfos assertion","id":"CVE-2026-90613"},"products":["FedML"],"published":"2026-09-14","related":[],"sources":[{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"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":"2026-09-14","vendors":["FedML-AI"]},"summary":"Remote attackers can execute arbitrary code via unsafe deserialization in the S3Storage.read_model function of the FedML library.","url":"https://insights.sbomify.com/CVE-2026-90614/"}