{"answers":{"affected":"4 open source packages ship an affected version, including org.apache.spark:spark-core_2.10 and org.apache.spark:spark-core_2.11. It affects 1 product.","exploited":"There is no known exploitation of CVE-2018-17190 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2018-17190 yet. Limit exposure of the affected software until one is available.","what":"CVE-2018-17190 is a critical code injection vulnerability in Apache Spark, published on 19 Nov 2018. An attacker can exploit it over the internet without logging in, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2018-17190 and fix it if it is affected.\n\nWhat it is: CVE-2018-17190 is a critical code injection vulnerability in Apache Spark, published on 19 Nov 2018. 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-2018-17190 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- org.apache.spark:spark-core_2.10 (Maven): affected all versions; no fix listed\n- org.apache.spark:spark-core_2.10 (Maven): affected all versions; no fix listed\n- org.apache.spark:spark-core_2.11 (Maven): affected all versions; no fix listed\n- org.apache.spark:spark-core_2.11 (Maven): affected all versions; no fix listed\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-2018-17190/ (Markdown: https://insights.sbomify.com/CVE-2018-17190/index.md)","id":"CVE-2018-17190","markdown":"https://insights.sbomify.com/CVE-2018-17190/index.md","name":"CVE-2018-17190","record":{"aliases":["GHSA-phg2-9c5g-m4q7"],"analysis":{"component_type":"server_software","fix_type":"upgrade","impacts":["code_execution"],"network_reachable":"yes","non_default_config":true,"product_category":"Apache Spark","requires_auth":"none","summary":"Attackers can execute arbitrary code on the Apache Spark master host by sending a specially crafted request, bypassing the design that restricts execution to workers.","user_interaction":"not_required","vuln_class":"code_injection"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"apache","cpe":[{"product":"spark","vendor":"apache"}],"cvss":{"score":9.8,"severity":"critical","source":"nvd","vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H","version":"3.0"},"cwes":[],"description":"In all versions of Apache Spark, its standalone resource manager accepts code to execute on a 'master' host, that then runs that code on 'worker' hosts. The master itself does not, by design, execute user code. A specially-crafted request to the master can, however, cause the master to execute code too. Note that this does not affect standalone clusters with authentication enabled. While the master host typically has less outbound access to other resources than a worker, the execution of code on the master is nevertheless unexpected.","ecosystems":["Maven"],"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":"Remote Code Execution in spark-core","id":"CVE-2018-17190","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Maven","product":null,"products":[],"type":"code_injection","year":"2018"},"n_packages":4,"n_references":4,"next":{"headline":"Code injection in Apache NetBeans","id":"CVE-2018-17191"},"packages":[{"ecosystem":"Maven","fixed":[],"introduced":["0"],"last_affected":[],"package":"org.apache.spark:spark-core_2.10","purl":null,"source":"GHSA-phg2-9c5g-m4q7"},{"ecosystem":"Maven","fixed":[],"introduced":["0"],"last_affected":[],"package":"org.apache.spark:spark-core_2.10","purl":"pkg:maven/org.apache.spark/spark-core_2.10","source":"GHSA-phg2-9c5g-m4q7"},{"ecosystem":"Maven","fixed":[],"introduced":["0"],"last_affected":[],"package":"org.apache.spark:spark-core_2.11","purl":null,"source":"GHSA-phg2-9c5g-m4q7"},{"ecosystem":"Maven","fixed":[],"introduced":["0"],"last_affected":[],"package":"org.apache.spark:spark-core_2.11","purl":"pkg:maven/org.apache.spark/spark-core_2.11","source":"GHSA-phg2-9c5g-m4q7"}],"prev":{"headline":"Denial of service in Apache HTTP Server","id":"CVE-2018-17189"},"products":["Apache Spark"],"published":"2018-11-19","related":[{"cvss_score":8.8,"headline":"Apache Spark Command Injection","id":"CVE-2022-33891","kev_date_added":"2023-03-07","published":"2022-07-18"},{"cvss_score":9.8,"headline":"Improper Authentication in Apache Spark","id":"CVE-2020-9480","kev_date_added":null,"published":"2020-06-23"},{"cvss_score":9.1,"headline":"HTTP Request Smuggling in Netty","id":"CVE-2019-20445","kev_date_added":null,"published":"2020-01-29"},{"cvss_score":8.8,"headline":"Apache Spark: Spark History Server Code Execution Vulnerability","id":"CVE-2025-54920","kev_date_added":null,"published":"2026-03-14"},{"cvss_score":8.8,"headline":"Apache Spark: Shell command injection via Spark UI","id":"CVE-2023-32007","kev_date_added":null,"published":"2023-05-02"},{"cvss_score":7.8,"headline":"Apache Spark Deserialization of Untrusted Data vulnerability","id":"CVE-2017-12612","kev_date_added":null,"published":"2017-09-13"}],"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":"US public information, NVD API terms","name":"NVD"},{"class":"attribution","licence":"FIRST CVSS licence","name":"CVSS (FIRST)"}],"ssvc":{"automatable":null,"exploitation":null,"technical_impact":null},"state":"PUBLISHED","updated":"2024-08-05","vendors":["Apache Software Foundation"]},"summary":"Attackers can execute arbitrary code on the Apache Spark master host by sending a specially crafted request, bypassing the design that restricts execution to workers.","url":"https://insights.sbomify.com/CVE-2018-17190/"}