{"answers":{"affected":"","exploited":"It is not confirmed as exploited in the wild, but public exploit code for CVE-2026-103270 exists.","fix":"No fix has been published for CVE-2026-103270 yet. Limit exposure of the affected software until one is available.","what":"CVE-2026-103270 is a high-severity missing authorization vulnerability in ModelTC LightLLM, published on 30 Sep 2026. An attacker can exploit it over the internet without logging in, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2026-103270 and fix it if it is affected.\n\nWhat it is: CVE-2026-103270 is a high-severity missing authorization vulnerability in ModelTC LightLLM, published on 30 Sep 2026. An attacker can exploit it over the internet without logging in, with no action from the victim.\nExploitation: It is not confirmed as exploited in the wild, but public exploit code for CVE-2026-103270 exists.\n\nAffected product: ModelTC LightLLM. 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-2026-103270/ (Markdown: https://insights.sbomify.com/CVE-2026-103270/index.md)","id":"CVE-2026-103270","markdown":"https://insights.sbomify.com/CVE-2026-103270/index.md","name":"CVE-2026-103270","record":{"aliases":["GHSA-x6wh-r9r9-mp7w"],"analysis":{"component_type":"server_software","fix_type":"patch","impacts":["denial_of_service","security_bypass"],"network_reachable":"yes","non_default_config":true,"product_category":"LLM inference server","requires_auth":"none","summary":"Unauthenticated attackers can disrupt inference operations and wedge workers on LightLLM deployments if reinforcement learning features are enabled.","user_interaction":"not_required","vuln_class":"missing_authorization"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"VulnCheck","cpe":[],"cvss":{"score":8.7,"severity":"high","source":"cna","vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N","version":"4.0"},"cwes":[{"id":"CWE-306","name":"Missing Authentication for Critical Functionality"}],"description":"LightLLM through 1.2.0 mounts reinforcement learning control routes on the public HTTP API without authentication checks. Unauthenticated attackers can call endpoints like /pause_generation, /abort_request, /flush_cache, and /init_weights_update_group to disrupt inference operations and wedge workers on deployments started with --enable_rl.","ecosystems":[],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"weaponised"},"has_fix":false,"headline":"LightLLM through 1.2.0 Missing Authentication on RL Control Routes","id":"CVE-2026-103270","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"missing_authorization","year":"2026"},"n_packages":0,"n_references":5,"next":{"headline":"Ghost 4.0.0 before 6.63.0 Restricted Content Bypass","id":"CVE-2026-103271"},"packages":[],"prev":{"headline":"Ghost 5.3.0 before 6.62.0 Missing Authorization via Post Excerpts","id":"CVE-2026-103269"},"products":["LightLLM"],"published":"2026-09-30","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":"yes","exploitation":"poc","technical_impact":"partial"},"state":"PUBLISHED","updated":"2026-09-30","vendors":["ModelTC"]},"summary":"Unauthenticated attackers can disrupt inference operations and wedge workers on LightLLM deployments if reinforcement learning features are enabled.","url":"https://insights.sbomify.com/CVE-2026-103270/"}