{"answers":{"affected":"","exploited":"There is no known exploitation of CVE-2025-12409 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2025-12409 yet. Limit exposure of the affected software until one is available.","what":"CVE-2025-12409 is a high-severity SQL injection vulnerability in Google Cloud Looker Studio, published on 10 Nov 2025. Any signed-in user can exploit it over the network, and only if a user opens a file or follows a link."},"fix_prompt":"Check this codebase for CVE-2025-12409 and fix it if it is affected.\n\nWhat it is: CVE-2025-12409 is a high-severity SQL injection vulnerability in Google Cloud Looker Studio, published on 10 Nov 2025. Any signed-in user can exploit it over the network, and only if a user opens a file or follows a link.\nExploitation: There is no known exploitation of CVE-2025-12409 in the wild and no public exploit code.\n\nAffected product: Google Cloud Looker Studio. 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-2025-12409/ (Markdown: https://insights.sbomify.com/CVE-2025-12409/index.md)","id":"CVE-2025-12409","markdown":"https://insights.sbomify.com/CVE-2025-12409/index.md","name":"CVE-2025-12409","record":{"aliases":["GHSA-9xfg-frpc-8rwp"],"analysis":{"component_type":"cloud_service","fix_type":"patch","impacts":["data_read"],"network_reachable":"yes","non_default_config":true,"product_category":"Looker Studio","requires_auth":"low_privilege","summary":"Attackers can exfiltrate BigQuery data by tricking victims into viewing malicious reports with native functions enabled.","user_interaction":"required","vuln_class":"sql_injection"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"GoogleCloud","cpe":[],"cvss":{"score":7.3,"severity":"high","source":"cna","vector":"CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:A/VC:H/VI:H/VA:L/SC:N/SI:N/SA:N/U:Clear","version":"4.0"},"cwes":[{"id":"CWE-89","name":"Improper Neutralization of Special Elements used in an SQL Command"}],"description":"A SQL injection vulnerability was discovered in Looker Studio that allowed for data exfiltration from BigQuery data sources.\n \nBy creating a malicious report with native functions enabled, and having the victim access the report, an attacker could execute injected SQL queries with the victim's permissions in BigQuery.\n\nThis vulnerability was patched on 07 July 2025, and no customer action is needed.","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":"SQL Injection in Looker Studio","id":"CVE-2025-12409","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"sql_injection","year":"2025"},"n_packages":0,"n_references":2,"next":{"headline":"SH Contextual Help \u003c= 3.2.1 - Cross-Site Request Forgery to Stored Cross-Site Scripting","id":"CVE-2025-12410"},"packages":[],"prev":{"headline":"Events Manager \u003c= 7.2.2.2 - Unauthenticated Information Exposure","id":"CVE-2025-12408"},"products":["Looker Studio"],"published":"2025-11-10","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":"total"},"state":"PUBLISHED","updated":"2025-11-10","vendors":["Google Cloud"]},"summary":"Attackers can exfiltrate BigQuery data by tricking victims into viewing malicious reports with native functions enabled.","url":"https://insights.sbomify.com/CVE-2025-12409/"}