{"answers":{"affected":"5 open source packages ship an affected version, including org.apache.spark:spark-core_2.11 and pyspark. It affects 1 product.","exploited":"There is no known exploitation of CVE-2019-10099 in the wild and no public exploit code.","fix":"Upgrade org.apache.spark:spark-core_2.11 to 2.3.3 or later.","what":"CVE-2019-10099 is a high-severity vulnerability in Apache Spark, published on 7 Aug 2019. An attacker can exploit it over the internet without logging in, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2019-10099 and fix it if it is affected.\n\nWhat it is: CVE-2019-10099 is a high-severity vulnerability in Apache Spark, published on 7 Aug 2019. 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-2019-10099 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- org.apache.spark:spark-core_2.11 (Maven): affected all versions; fixed in 2.3.3\n- org.apache.spark:spark-core_2.11 (Maven): affected all versions; fixed in 2.3.3\n- pyspark (PyPI): affected all versions; fixed in 2.3.3\n- pyspark (PyPI): affected all versions; fixed in 2.3.3\n- pyspark (PyPI): affected all versions; fixed in 2.3.3\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-2019-10099/ (Markdown: https://insights.sbomify.com/CVE-2019-10099/index.md)","id":"CVE-2019-10099","markdown":"https://insights.sbomify.com/CVE-2019-10099/index.md","name":"CVE-2019-10099","record":{"aliases":["GHSA-fp5j-3fpf-mhj5","PYSEC-2019-114"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["data_read"],"network_reachable":"yes","non_default_config":true,"product_category":"Apache Spark","requires_auth":"none","summary":"Apache Spark fails to encrypt user data written to local disk in specific scenarios, potentially exposing sensitive information to local attackers.","user_interaction":"not_required","vuln_class":"information_disclosure"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"apache","cpe":[{"product":"spark","vendor":"apache"}],"cvss":{"score":7.5,"severity":"high","source":"nvd","vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N","version":"3.1"},"cwes":[{"id":"CWE-312","name":"Cleartext Storage of Sensitive Information"}],"description":"Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even if spark.io.encryption.enabled=true. This includes cached blocks that are fetched to disk (controlled by spark.maxRemoteBlockSizeFetchToMem); in SparkR, using parallelize; in Pyspark, using broadcast and parallelize; and use of python udfs.","ecosystems":["Maven","PyPI"],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"none_known"},"has_fix":true,"headline":"Sensitive data written to disk unencrypted in Spark","id":"CVE-2019-10099","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Maven","product":null,"products":[],"type":"information_disclosure","year":"2019"},"n_packages":5,"n_references":3,"next":{"headline":"Code injection in n/a","id":"CVE-2019-10100"},"packages":[{"ecosystem":"Maven","fixed":["2.3.3"],"introduced":["0"],"last_affected":[],"package":"org.apache.spark:spark-core_2.11","purl":null,"source":"GHSA-fp5j-3fpf-mhj5"},{"ecosystem":"Maven","fixed":["2.3.3"],"introduced":["0"],"last_affected":[],"package":"org.apache.spark:spark-core_2.11","purl":"pkg:maven/org.apache.spark/spark-core_2.11","source":"GHSA-fp5j-3fpf-mhj5"},{"ecosystem":"PyPI","fixed":["2.3.3"],"introduced":["0"],"last_affected":[],"package":"pyspark","purl":null,"source":"GHSA-fp5j-3fpf-mhj5"},{"ecosystem":"PyPI","fixed":["2.3.3"],"introduced":["0"],"last_affected":[],"package":"pyspark","purl":"pkg:pypi/pyspark","source":"GHSA-fp5j-3fpf-mhj5"},{"ecosystem":"PyPI","fixed":["2.3.3"],"introduced":["0"],"last_affected":[],"package":"pyspark","purl":"pkg:pypi/pyspark","source":"PYSEC-2019-114"}],"prev":{"headline":"Open redirect in Apache HTTP Server","id":"CVE-2019-10098"},"products":["Apache Spark"],"published":"2019-08-07","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":9.8,"headline":"Remote Code Execution in spark-core","id":"CVE-2018-17190","kev_date_added":null,"published":"2018-11-19"},{"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":"CC BY 4.0","name":"PyPA Advisory Database","prefix":"PYSEC"},{"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":"2024-08-04","vendors":["Apache"]},"summary":"Apache Spark fails to encrypt user data written to local disk in specific scenarios, potentially exposing sensitive information to local attackers.","url":"https://insights.sbomify.com/CVE-2019-10099/"}