{"answers":{"affected":"It affects 1 product.","exploited":"There is no known exploitation of CVE-2026-59279 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2026-59279 yet. Limit exposure of the affected software until one is available.","what":"CVE-2026-59279 is a high-severity denial of service vulnerability in Spring AI, published on 21 Aug 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-2026-59279 and fix it if it is affected.\n\nWhat it is: CVE-2026-59279 is a high-severity denial of service vulnerability in Spring AI, published on 21 Aug 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-2026-59279 in the wild and no public exploit code.\n\nAffected product: Spring AI. 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-2026-59279/ (Markdown: https://insights.sbomify.com/CVE-2026-59279/index.md)","id":"CVE-2026-59279","markdown":"https://insights.sbomify.com/CVE-2026-59279/index.md","name":"CVE-2026-59279","record":{"aliases":["GHSA-2g9x-r8w8-qjff"],"analysis":{"component_type":"library","fix_type":"no_fix_stated","impacts":["denial_of_service"],"network_reachable":"yes","non_default_config":false,"product_category":"Spring AI library","requires_auth":"none","summary":"Remote attackers can exhaust server memory by creating unlimited sessions, causing denial of service in Spring AI applications.","user_interaction":"not_required","vuln_class":"denial_of_service"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"vmware","cpe":[{"product":"spring_ai","vendor":"vmware"}],"cvss":{"score":7.5,"severity":"high","source":"cna","vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","version":"3.1"},"cwes":[{"id":"CWE-770","name":"Allocation of Resources Without Limits or Throttling"}],"description":"The MCP Streamable HTTP server transport (WebFlux and WebMvc variants) does not place any limit on the number of sessions it retains, and by default does not require clients to be authenticated. As a result, a remote attacker can cause the server to accumulate an unbounded number of sessions over time, gradually exhausting available memory and ultimately causing a Denial of Service that affects all legitimate clients.\nAffected versions:\nSpring AI: 2.0.0","ecosystems":[],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"none_known"},"has_fix":false,"headline":"Unbounded persistent session allocation via repeated initialize requests","id":"CVE-2026-59279","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"denial_of_service","year":"2026"},"n_packages":0,"n_references":1,"next":{"headline":"Spring Framework Path Traversal via Backslash in SpringTemplateLoader","id":"CVE-2026-59280"},"packages":[],"prev":{"headline":"Server-side request forgery in Spring for Apache Kafka","id":"CVE-2026-59278"},"products":["Spring AI"],"published":"2026-08-21","related":[{"cvss_score":9.8,"headline":"SpEL Injection via Unescaped Filter Key in SimpleVectorStore Leads to Remote Code Execution","id":"CVE-2026-22738","kev_date_added":null,"published":"2026-03-27"},{"cvss_score":8.8,"headline":"Spring AI has SQL Injection in CosmosDBVectorStore.doDelete()","id":"CVE-2026-40978","kev_date_added":null,"published":"2026-04-28"},{"cvss_score":8.8,"headline":"CVE-2026-22730: SQL Injection in Spring AI MariaDBFilterExpressionConverter","id":"CVE-2026-22730","kev_date_added":null,"published":"2026-03-18"},{"cvss_score":8.6,"headline":"Spring AI vector store metadata filtering to handle special characters in Elasticsearch, OpenSearch, and GemFire Vector Stores","id":"CVE-2026-47835","kev_date_added":null,"published":"2026-06-15"},{"cvss_score":8.6,"headline":"Spring AI's MilvusVectorStore#doDelete(List) implementation is vulnerable to filter-expression injection via unsanitized document IDs","id":"CVE-2026-41705","kev_date_added":null,"published":"2026-05-09"},{"cvss_score":8.6,"headline":"Spring AI has a VectorStore FilterExpression Converter injection","id":"CVE-2026-40967","kev_date_added":null,"published":"2026-04-28"},{"cvss_score":8.6,"headline":"Server-Side Request Forgery in BedrockProxyChatModel via Unvalidated Media URL Fetching","id":"CVE-2026-22742","kev_date_added":null,"published":"2026-03-27"}],"sources":[{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"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":"2026-08-21","vendors":["Spring"]},"summary":"Remote attackers can exhaust server memory by creating unlimited sessions, causing denial of service in Spring AI applications.","url":"https://insights.sbomify.com/CVE-2026-59279/"}