{"answers":{"affected":"3 open source packages ship an affected version, including vllm. It affects 1 product.","exploited":"There is no known exploitation of CVE-2026-105760 in the wild and no public exploit code.","fix":"Upgrade vllm to 0.30.0 or later.","what":"CVE-2026-105760 is a medium-severity denial of service vulnerability in Vllm Vllm, published on 5 Oct 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-2026-105760 and fix it if it is affected.\n\nWhat it is: CVE-2026-105760 is a medium-severity denial of service vulnerability in Vllm Vllm, published on 5 Oct 2026. An attacker can exploit it over the internet without logging in, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2026-105760 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- vllm (PyPI): affected from 0.23.0rc2; fixed in 0.30.0\n- vllm (PyPI): affected from 0.23.0rc2; fixed in 0.30.0\n- vllm (PyPI): affected from 0.23.0rc2; fixed in 0.30.0\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-2026-105760/ (Markdown: https://insights.sbomify.com/CVE-2026-105760/index.md)","id":"CVE-2026-105760","markdown":"https://insights.sbomify.com/CVE-2026-105760/index.md","name":"CVE-2026-105760","record":{"aliases":["GHSA-58v5-2m8f-94pr","MINI-ggw3-9mm2-x4m9","MINI-m33q-hwgg-4x7m","PYSEC-2026-4307"],"analysis":{"component_type":"server_software","fix_type":"upgrade","impacts":["denial_of_service"],"network_reachable":"yes","non_default_config":false,"product_category":"LLM inference engine","requires_auth":"none","summary":"Attackers can exhaust CPU and memory resources in vLLM by sending crafted requests with large video sampling parameters, causing service disruption.","user_interaction":"not_required","vuln_class":"denial_of_service"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"GitHub_M","cpe":[{"product":"vllm","vendor":"vllm"}],"cvss":{"score":5.3,"severity":"medium","source":"cna","vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L","version":"3.1"},"cwes":[{"id":"CWE-400","name":"Uncontrolled Resource Consumption"}],"description":"vLLM is an inference and serving engine for large language models. Prior to 0.30.0, a caller can use the request-level media_io_kwargs field to select the GLMGA video backend and supply large values for the fps and max_frames options without a strict work ceiling. GLMGA constructs and deduplicates an attacker-sized pre-decode frame-index list, allowing a compact request and tiny valid video to consume disproportionate CPU time and memory in the shared media-loading executor. This issue is fixed in version 0.30.0.","ecosystems":["PyPI"],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"none_known"},"has_fix":true,"headline":"vLLM: GLMGA video sampling permits request-driven CPU and memory exhaustion","id":"CVE-2026-105760","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":"vllm:vllm","products":["vllm:vllm"],"type":"denial_of_service","year":"2026"},"n_packages":3,"n_references":4,"next":{"headline":"Dify: IDOR in AppMCPServer PUT Endpoint Allows Modification of Other Apps' MCP Servers","id":"CVE-2026-105761"},"packages":[{"ecosystem":"PyPI","fixed":["0.30.0"],"introduced":["0.23.0rc2"],"last_affected":[],"package":"vllm","purl":null,"source":"GHSA-58v5-2m8f-94pr"},{"ecosystem":"PyPI","fixed":["0.30.0"],"introduced":["0.23.0rc2"],"last_affected":[],"package":"vllm","purl":"pkg:pypi/vllm","source":"GHSA-58v5-2m8f-94pr"},{"ecosystem":"PyPI","fixed":["0.30.0"],"introduced":["0.23.0rc2"],"last_affected":[],"package":"vllm","purl":"pkg:pypi/vllm","source":"PYSEC-2026-4307"}],"prev":{"headline":"Denial of service in vllm","id":"CVE-2026-105759"},"products":["vllm"],"published":"2026-10-05","related":[{"cvss_score":10,"headline":"vLLM Vulnerable to Remote Code Execution via Mooncake Integration","id":"CVE-2025-32444","kev_date_added":null,"published":"2025-04-30"},{"cvss_score":9.8,"headline":"vLLM leaks a heap address when PIL throws an error","id":"CVE-2026-22778","kev_date_added":null,"published":"2026-02-02"},{"cvss_score":9.8,"headline":"vLLM Allows Remote Code Execution via PyNcclPipe Communication Service","id":"CVE-2025-47277","kev_date_added":null,"published":"2025-05-20"},{"cvss_score":9.8,"headline":"Remote Code Execution in vllm-project/vllm","id":"CVE-2024-11041","kev_date_added":null,"published":"2025-03-20"},{"cvss_score":9.1,"headline":"vLLM: OpenAI auth bypass","id":"CVE-2026-48746","kev_date_added":null,"published":"2026-06-22"},{"cvss_score":9.1,"headline":"vLLM Allows Remote Code Execution via Mooncake Integration","id":"CVE-2025-29783","kev_date_added":null,"published":"2025-03-19"},{"cvss_score":8.8,"headline":"vLLM 0.9.2 before 0.24.0 SSRF via X-Request-Id in P2pNcclConnector","id":"CVE-2026-116176","kev_date_added":null,"published":"2026-10-25"}],"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":"yes","exploitation":"none","technical_impact":"partial"},"state":"PUBLISHED","updated":"2026-10-06","vendors":["vllm-project"]},"summary":"Attackers can exhaust CPU and memory resources in vLLM by sending crafted requests with large video sampling parameters, causing service disruption.","url":"https://insights.sbomify.com/CVE-2026-105760/"}