{"answers":{"affected":"","exploited":"There is no known exploitation of CVE-2026-18164 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2026-18164 yet. Limit exposure of the affected software until one is available.","what":"CVE-2026-18164 is a high-severity vulnerability in Flow Neuroscience FL-100, published on 13 Aug 2026. It can only be exploited from the same machine or local network, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2026-18164 and fix it if it is affected.\n\nWhat it is: CVE-2026-18164 is a high-severity vulnerability in Flow Neuroscience FL-100, published on 13 Aug 2026. It can only be exploited from the same machine or local network, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2026-18164 in the wild and no public exploit code.\n\nAffected product: Flow Neuroscience FL-100. 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-2026-18164/ (Markdown: https://insights.sbomify.com/CVE-2026-18164/index.md)","id":"CVE-2026-18164","markdown":"https://insights.sbomify.com/CVE-2026-18164/index.md","name":"CVE-2026-18164","record":{"aliases":["GHSA-97hf-8cq8-4rm3"],"analysis":{"component_type":"iot_embedded","fix_type":"no_fix_stated","impacts":["privilege_escalation","data_modify"],"network_reachable":"adjacent_or_local","non_default_config":false,"product_category":"Brain stimulation device","requires_auth":"none","summary":"Attackers within Bluetooth range can use hard-coded credentials to bypass authentication and manipulate brain stimulation parameters on Flow Neuroscience devices.","user_interaction":"not_required","vuln_class":"hardcoded_credentials"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"icscert","cpe":[],"cvss":{"score":7.2,"severity":"high","source":"cna","vector":"CVSS:4.0/AV:A/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:H/SC:N/SI:N/SA:N","version":"4.0"},"cwes":[{"id":"CWE-798","name":"Use of Hard-coded Credentials"}],"description":"An undocumented hard-coded credential, shared by all device units, is authorized to bypass authentication. This allows an attacker within Bluetooth range to arbitrarily manipulate brain stimulation parameters and state.","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":"Flow Neuroscience FL-100 Use of Hard-coded Credentials","id":"CVE-2026-18164","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"hardcoded_credentials","year":"2026"},"n_packages":0,"n_references":2,"next":{"headline":"@fastify/oauth2 vulnerable to Login CSRF via plantable OAuth state cookies","id":"CVE-2026-18165"},"packages":[],"prev":{"headline":"IBM Financial Transaction Manager (FTM) is Impacted by Multiple Vulnerabilities","id":"CVE-2026-18163"},"products":["FL-100"],"published":"2026-08-13","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":"2026-08-14","vendors":["Flow Neuroscience","Halo Neuroscience"]},"summary":"Attackers within Bluetooth range can use hard-coded credentials to bypass authentication and manipulate brain stimulation parameters on Flow Neuroscience devices.","url":"https://insights.sbomify.com/CVE-2026-18164/"}