{"answers":{"affected":"It affects 1 product.","exploited":"There is no known exploitation of CVE-2015-1889 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2015-1889 yet. Limit exposure of the affected software until one is available.","what":"CVE-2015-1889 is a medium-severity missing authorization vulnerability in n/a, published on 22 Apr 2015. Any signed-in user can exploit it over the network, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2015-1889 and fix it if it is affected.\n\nWhat it is: CVE-2015-1889 is a medium-severity missing authorization vulnerability in n/a, published on 22 Apr 2015. Any signed-in user can exploit it over the network, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2015-1889 in the wild and no public exploit code.\n\nAffected product: n/a. 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-2015-1889/ (Markdown: https://insights.sbomify.com/CVE-2015-1889/index.md)","id":"CVE-2015-1889","markdown":"https://insights.sbomify.com/CVE-2015-1889/index.md","name":"CVE-2015-1889","record":{"aliases":["GHSA-xr4q-6qfj-q54q"],"analysis":{"component_type":"server_software","fix_type":"patch","impacts":["data_read"],"network_reachable":"yes","non_default_config":false,"product_category":"IBM BigInsights Big SQL","requires_auth":"low_privilege","summary":"Authenticated users can bypass HDFS access restrictions to read arbitrary user data via crafted SQL statements or Hive table imports.","user_interaction":"not_required","vuln_class":"missing_authorization"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"ibm","cpe":[{"product":"infosphere_biginsights","vendor":"ibm"}],"cvss":{"score":6.5,"severity":"medium","source":"nvd","vector":"AV:N/AC:L/Au:S/C:P/I:P/A:P","version":"2.0"},"cwes":[{"id":"CWE-89","name":"Improper Neutralization of Special Elements used in an SQL Command"}],"description":"The Big SQL component in IBM InfoSphere BigInsights 3.0 through 3.0.0.2 allows remote authenticated users to bypass intended HDFS data-access restrictions via (1) a crafted CREATE HADOOP TABLE statement referencing the data of an arbitrary user or (2) an import of a certain Hive table definition with the HCAT_SYNC_OBJECTS procedure.","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":"Missing authorization in n/a","id":"CVE-2015-1889","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"missing_authorization","year":"2015"},"n_packages":0,"n_references":2,"next":{"headline":"Information disclosure in n/a","id":"CVE-2015-1890"},"packages":[],"prev":{"headline":"Cross-site scripting in n/a","id":"CVE-2015-1888"},"products":["n/a"],"published":"2015-04-22","related":[{"cvss_score":6.5,"headline":"IBM InfoSphere BigInsights Invalid Input","id":"CVE-2013-3993","kev_date_added":"2022-05-25","published":"2014-07-07"},{"cvss_score":7.4,"headline":"Privilege escalation in n/a","id":"CVE-2015-1947","kev_date_added":null,"published":"2015-12-31"},{"cvss_score":6.5,"headline":"Information disclosure in n/a","id":"CVE-2014-4782","kev_date_added":null,"published":"2018-04-20"},{"cvss_score":6,"headline":"Cross-site request forgery in n/a","id":"CVE-2013-3992","kev_date_added":null,"published":"2013-08-05"},{"cvss_score":5.4,"headline":"Cross-site scripting in BigInsights","id":"CVE-2017-1552","kev_date_added":null,"published":"2017-11-01"},{"cvss_score":5.4,"headline":"Cross-site scripting in BigInsights","id":"CVE-2017-1553","kev_date_added":null,"published":"2017-11-01"}],"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":null,"exploitation":null,"technical_impact":null},"state":"PUBLISHED","updated":"2024-08-06","vendors":["n/a"]},"summary":"Authenticated users can bypass HDFS access restrictions to read arbitrary user data via crafted SQL statements or Hive table imports.","url":"https://insights.sbomify.com/CVE-2015-1889/"}