{"answers":{"affected":"","exploited":"There is no known exploitation of CVE-2026-15183 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2026-15183 yet. Limit exposure of the affected software until one is available.","what":"CVE-2026-15183 is a critical SQL injection vulnerability in Snowflake Spark Connector, published on 14 Jul 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-2026-15183 and fix it if it is affected.\n\nWhat it is: CVE-2026-15183 is a critical SQL injection vulnerability in Snowflake Spark Connector, published on 14 Jul 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-2026-15183 in the wild and no public exploit code.\n\nAffected product: Snowflake Spark Connector. 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-2026-15183/ (Markdown: https://insights.sbomify.com/CVE-2026-15183/index.md)","id":"CVE-2026-15183","markdown":"https://insights.sbomify.com/CVE-2026-15183/index.md","name":"CVE-2026-15183","record":{"aliases":["GHSA-33r9-fx8q-w69h"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["code_execution","privilege_escalation","data_read"],"network_reachable":"yes","non_default_config":false,"product_category":"Snowflake Spark Connector","requires_auth":"none","summary":"Attackers can inject SQL, steal OAuth credentials, or redirect data via input validation flaws in the Snowflake Spark Connector.","user_interaction":"not_required","vuln_class":"sql_injection"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"SNOWFLAKE","cpe":[],"cvss":{"score":9.2,"severity":"critical","source":"cna","vector":"CVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N","version":"4.0"},"cwes":[{"id":"CWE-89","name":"Improper Neutralization of Special Elements used in an SQL Command"},{"id":"CWE-918","name":"Server-Side Request Forgery"},{"id":"CWE-441","name":"Unintended Proxy or Intermediary"}],"description":"Multiple input validation vulnerabilities in the Snowflake Spark Connector (spark-snowflake) versions prior to 3.2.1 can allow attackers to exfiltrate OAuth client credentials, execute arbitrary SQL with the connector's Snowflake role, or redirect COPY operations to attacker-controlled storage. An attacker could exploit these vulnerabilities by supplying a crafted OAuth token request URL, placing malicious files in an ingestion pipeline, injecting SQL via staging options in a shared Spark environment , or issuing runtime SET commands in a shared Spark-SQL session to inject arbitrary SQL into the SnowflakeFallbackCatalog's option map, which executes under the cluster admin's JDBC credentials. Successful exploitation may result in credential theft, unauthorized access to Snowflake account data, or privilege escalation within connected infrastructure.","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":"Input Validation Vulnerabilities in Snowflake Spark Connector","id":"CVE-2026-15183","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"sql_injection","year":"2026"},"n_packages":0,"n_references":1,"next":{"headline":"GNU LibreDWG DWG File dwg.c dwg_next_entity null pointer dereference","id":"CVE-2026-15184"},"packages":[],"prev":{"headline":"GNU LibreDWG BMP Image dwg.c dwg_bmp heap-based overflow","id":"CVE-2026-15182"},"products":["Snowflake Spark Connector"],"published":"2026-07-14","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":"2026-07-14","vendors":["Snowflake"]},"summary":"Attackers can inject SQL, steal OAuth credentials, or redirect data via input validation flaws in the Snowflake Spark Connector.","url":"https://insights.sbomify.com/CVE-2026-15183/"}