{ "document": { "category": "csaf_base", "csaf_version": "2.0", "distribution": { "tlp": { "label": "WHITE" } }, "lang": "en", "notes": [ { "category": "legal_disclaimer", "text": "The Netherlands Cyber Security Center (henceforth: NCSC-NL) maintains this portal to enhance access to its information and vulnerabilities. The use of this information is subject to the following terms and conditions:\n\nThe vulnerabilities disclosed in this portal are gathered by NCSC-NL from a variety of open sources, which the user can retrieve from other platforms. NCSC-NL makes every reasonable effort to ensure that the content of this portal is kept up to date, and that it is accurate and complete. Nevertheless, NCSC-NL cannot entirely rule out the possibility of errors, and therefore cannot give any warranty in respect of its completeness, accuracy or real-time keeping up-to-date. NCSC-NL does not control nor guarantee the accuracy, relevance, timeliness or completeness of information obtained from these external sources. The vulnerabilities disclosed in this portal are intended solely for the convenience of professional parties to take appropriate measures to manage the risks posed to the cybersecurity. No rights can be derived from the information provided therein.\n\nNCSC-NL and the Kingdom of the Netherlands assume no legal liability or responsibility for any damage resulting from either the use or inability of use of the vulnerabilities disclosed in this portal. This includes damage resulting from the inaccuracy of incompleteness of the information contained in it.\nThe information on this page is subject to Dutch law. All disputes related to or arising from the use of this portal regarding the disclosure of vulnerabilities will be submitted to the competent court in The Hague. This choice of means also applies to the court in summary proceedings." } ], "publisher": { "category": "coordinator", "contact_details": "cert@ncsc.nl", "name": "National Cyber Security Centre", "namespace": "https://www.ncsc.nl/" }, "title": "CVE-2025-54920", "tracking": { "current_release_date": "2026-03-21T17:52:09.446822Z", "generator": { "date": "2026-02-17T15:00:00Z", "engine": { "name": "V.E.L.M.A", "version": "1.7" } }, "id": "CVE-2025-54920", "initial_release_date": "2026-03-14T05:30:50.336872Z", "revision_history": [ { "date": "2026-03-14T05:30:50.336872Z", "number": "1", "summary": "NCSC Score created." }, { "date": "2026-03-14T07:34:55.327571Z", "number": "2", "summary": "NCSC Score updated." }, { "date": "2026-03-14T09:38:40.588321Z", "number": "3", "summary": "Source created.| CVE status created. (valid)| Description created for source.| Products created (2).| References created (5).| CWES updated (1)." }, { "date": "2026-03-14T09:38:50.554884Z", "number": "4", "summary": "NCSC Score updated." }, { "date": "2026-03-14T15:56:35.559562Z", "number": "5", "summary": "Source created.| CVE status created. (valid)| EPSS created." }, { "date": "2026-03-14T15:56:43.059097Z", "number": "6", "summary": "NCSC Score updated." }, { "date": "2026-03-16T14:30:39.637583Z", "number": "7", "summary": "Source created.| CVE status created. (valid)| Description created for source.| References created (5).| CWES updated (1)." }, { "date": "2026-03-16T14:30:42.274231Z", "number": "8", "summary": "NCSC Score updated." }, { "date": "2026-03-17T00:28:24.467346Z", "number": "9", "summary": "Source created.| CVE status created. (valid)| Description created for source.| CVSS created.| Products connected (3).| Product Identifiers created (2).| Product Remediations created (4).| Products created (1).| References created (7).| CWES updated (1).| Vendor_assessment created." }, { "date": "2026-03-17T00:28:29.975644Z", "number": "10", "summary": "NCSC Score updated." }, { "date": "2026-03-17T04:38:38.796064Z", "number": "11", "summary": "Unknown change." }, { "date": "2026-03-17T13:25:35.382994Z", "number": "12", "summary": "CVSS created." }, { "date": "2026-03-17T13:38:46.978706Z", "number": "13", "summary": "CVSS created." }, { "date": "2026-03-17T13:38:49.730578Z", "number": "14", "summary": "NCSC Score updated." }, { "date": "2026-03-17T21:00:19.400498Z", "number": "15", "summary": "Source created.| CVE status created. (valid)| Description created for source.| CVSS created.| References created (7).| CWES updated (1)." }, { "date": "2026-03-17T21:00:22.022949Z", "number": "16", "summary": "NCSC Score updated." }, { "date": "2026-03-18T00:15:46.187607Z", "number": "17", "summary": "Source created.| CVE status created. (valid)| Description created for source.| CVSS created.| Products created (47).| Product Identifiers created (142).| Products connected (101).| References created (6).| CWES updated (1)." }, { "date": "2026-03-18T12:05:36.633333Z", "number": "18", "summary": "Source created.| CVE status created. (valid)| Description created for source.| CVSS created.| Products created (2).| References created (6)." }, { "date": "2026-03-18T12:05:47.618468Z", "number": "19", "summary": "NCSC Score updated." }, { "date": "2026-03-19T15:28:33.098674Z", "number": "20", "summary": "Source created.| CVE status created. (valid)| Description created for source.| CVSS created.| References created (7).| CWES updated (1)." }, { "date": "2026-03-19T15:28:36.081240Z", "number": "21", "summary": "NCSC Score updated." }, { "date": "2026-03-19T21:01:45.785913Z", "number": "22", "summary": "Source connected.| CVE status created. (valid)| EPSS created." }, { "date": "2026-03-20T18:34:26.074972Z", "number": "23", "summary": "Source connected.| CVE status created. (valid)| EPSS created." }, { "date": "2026-03-20T18:34:29.578609Z", "number": "24", "summary": "NCSC Score updated." }, { "date": "2026-03-20T19:25:29.774469Z", "number": "25", "summary": "Source created.| CVE status created. (valid)| Description created for source.| CVSS created.| Products created (10).| Product Identifiers created (10).| Exploits created (2).| References created (5).| CWES updated (1)." }, { "date": "2026-03-20T19:25:34.243573Z", "number": "26", "summary": "NCSC Score updated." }, { "date": "2026-03-21T17:52:06.167001Z", "number": "27", "summary": "EPSS updated." }, { "date": "2026-03-21T17:52:08.529152Z", "number": "28", "summary": "NCSC Score updated." } ], "status": "interim", "version": "28" } }, "product_tree": { "branches": [ { "branches": [ { "branches": [ { "category": "product_version_range", "name": "vers:semver/4.0.0|<4.0.1", "product": { "name": "vers:semver/4.0.0|<4.0.1", "product_id": "CSAFPID-5827407" } }, { "category": "product_version_range", "name": "vers:semver/<3.5.7", "product": { "name": "vers:semver/<3.5.7", "product_id": "CSAFPID-5827406" } } ], "category": "product_name", "name": "Apache Spark" }, { "branches": [ { "category": "product_version_range", "name": 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"CSAFPID-5839796", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.12@3.5.0" } } }, { "category": "product_version_range", "name": "vers:unknown/3.5.1", "product": { "name": "vers:unknown/3.5.1", "product_id": "CSAFPID-5839797", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.12@3.5.1" } } }, { "category": "product_version_range", "name": "vers:unknown/3.5.2", "product": { "name": "vers:unknown/3.5.2", "product_id": "CSAFPID-5839798", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.12@3.5.2" } } }, { "category": "product_version_range", "name": "vers:unknown/3.5.3", "product": { "name": "vers:unknown/3.5.3", "product_id": "CSAFPID-5839799", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.12@3.5.3" } } }, { "category": "product_version_range", "name": "vers:unknown/3.5.4", "product": { "name": "vers:unknown/3.5.4", "product_id": "CSAFPID-5839800", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.12@3.5.4" } } }, { "category": "product_version_range", "name": "vers:unknown/3.5.5", "product": { "name": "vers:unknown/3.5.5", "product_id": "CSAFPID-5839801", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.12@3.5.5" } } }, { "category": "product_version_range", "name": "vers:unknown/3.5.6", "product": { "name": "vers:unknown/3.5.6", "product_id": "CSAFPID-5839802", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.12@3.5.6" } } }, { "category": "product_version_range", "name": "vers:unknown/>=0|<3.5.7", "product": { "name": "vers:unknown/>=0|<3.5.7", "product_id": "CSAFPID-5839803" } } ], "category": "product_name", "name": "spark-core_2.12" }, { "branches": [ { "category": "product_version_range", "name": "vers:unknown/3.2.0", "product": { "name": "vers:unknown/3.2.0", "product_id": "CSAFPID-5281049", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.2.0" } } }, { "category": "product_version_range", "name": "vers:unknown/3.2.1", "product": { "name": "vers:unknown/3.2.1", "product_id": "CSAFPID-5281050", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.2.1" } } }, { "category": "product_version_range", "name": "vers:unknown/3.2.2", "product": { "name": "vers:unknown/3.2.2", "product_id": "CSAFPID-5839764", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.2.2" } } }, { "category": "product_version_range", "name": "vers:unknown/3.2.3", "product": { "name": "vers:unknown/3.2.3", "product_id": "CSAFPID-5839765", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.2.3" } } }, { "category": "product_version_range", "name": "vers:unknown/3.2.4", "product": { "name": "vers:unknown/3.2.4", "product_id": "CSAFPID-5839766", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.2.4" } } }, { "category": "product_version_range", "name": "vers:unknown/3.3.0", "product": { "name": "vers:unknown/3.3.0", "product_id": "CSAFPID-5281052", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.3.0" } } }, { "category": "product_version_range", "name": "vers:unknown/3.3.1", "product": { "name": "vers:unknown/3.3.1", "product_id": "CSAFPID-5839767", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.3.1" } } }, { "category": "product_version_range", "name": "vers:unknown/3.3.2", "product": { "name": "vers:unknown/3.3.2", "product_id": "CSAFPID-5839768", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.3.2" } } }, { "category": "product_version_range", "name": "vers:unknown/3.3.3", "product": { "name": "vers:unknown/3.3.3", "product_id": "CSAFPID-5839769", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.3.3" } } }, { "category": "product_version_range", "name": "vers:unknown/3.3.4", "product": { "name": "vers:unknown/3.3.4", "product_id": "CSAFPID-5839770", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.3.4" } } }, { "category": "product_version_range", "name": "vers:unknown/3.4.0", "product": { "name": "vers:unknown/3.4.0", "product_id": "CSAFPID-5839771", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.4.0" } } }, { "category": "product_version_range", "name": "vers:unknown/3.4.1", "product": { "name": "vers:unknown/3.4.1", "product_id": "CSAFPID-5839772", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.4.1" } } }, { "category": "product_version_range", "name": "vers:unknown/3.4.2", "product": { "name": "vers:unknown/3.4.2", "product_id": "CSAFPID-5839773", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.4.2" } } }, { "category": "product_version_range", "name": "vers:unknown/3.4.3", "product": { "name": "vers:unknown/3.4.3", "product_id": "CSAFPID-5839774", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.4.3" } } }, { "category": "product_version_range", "name": "vers:unknown/3.4.4", "product": { "name": "vers:unknown/3.4.4", "product_id": "CSAFPID-5839775", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.4.4" } } }, { "category": "product_version_range", "name": "vers:unknown/3.5.0", "product": { "name": "vers:unknown/3.5.0", "product_id": "CSAFPID-5839776", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.5.0" } } }, { "category": "product_version_range", "name": "vers:unknown/3.5.1", "product": { "name": "vers:unknown/3.5.1", "product_id": "CSAFPID-5839777", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.5.1" } } }, { "category": "product_version_range", "name": "vers:unknown/3.5.2", "product": { "name": "vers:unknown/3.5.2", "product_id": "CSAFPID-5839778", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.5.2" } } }, { "category": "product_version_range", "name": "vers:unknown/3.5.3", "product": { "name": "vers:unknown/3.5.3", "product_id": "CSAFPID-5839779", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.5.3" } } }, { "category": "product_version_range", "name": "vers:unknown/3.5.4", "product": { "name": "vers:unknown/3.5.4", "product_id": "CSAFPID-5839780", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.5.4" } } }, { "category": "product_version_range", "name": "vers:unknown/3.5.5", "product": { "name": "vers:unknown/3.5.5", "product_id": "CSAFPID-5839781", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.5.5" } } }, { "category": "product_version_range", "name": "vers:unknown/3.5.6", "product": { "name": "vers:unknown/3.5.6", "product_id": "CSAFPID-5839782", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@3.5.6" } } }, { "category": "product_version_range", "name": "vers:unknown/4.0.0", "product": { "name": "vers:unknown/4.0.0", "product_id": "CSAFPID-5839760", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@4.0.0" } } }, { "category": "product_version_range", "name": "vers:unknown/4.0.0-preview1", "product": { "name": "vers:unknown/4.0.0-preview1", "product_id": "CSAFPID-5839761", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@4.0.0-preview1" } } }, { "category": "product_version_range", "name": "vers:unknown/4.0.0-preview2", "product": { "name": "vers:unknown/4.0.0-preview2", "product_id": "CSAFPID-5839762", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.13@4.0.0-preview2" } } }, { "category": "product_version_range", "name": "vers:unknown/>=0|<3.5.7", "product": { "name": "vers:unknown/>=0|<3.5.7", "product_id": "CSAFPID-5839783" } }, { "category": "product_version_range", "name": "vers:unknown/>=4.0.0|<4.0.1", "product": { "name": "vers:unknown/>=4.0.0|<4.0.1", "product_id": "CSAFPID-5839763" } } ], "category": "product_name", "name": "spark-core_2.13" }, { "branches": [ { "category": "product_version_range", "name": "vers:unknown/0.8.0-incubating", "product": { "name": "vers:unknown/0.8.0-incubating", "product_id": "CSAFPID-5281046", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.9.3@0.8.0-incubating" } } }, { "category": "product_version_range", "name": "vers:unknown/0.8.1-incubating", "product": { "name": "vers:unknown/0.8.1-incubating", "product_id": "CSAFPID-5281047", "product_identification_helper": { "purl": "pkg:maven/org.apache.spark/spark-core_2.9.3@0.8.1-incubating" } } }, { "category": "product_version_range", "name": "vers:unknown/>=0|<=0.8.1-incubating", "product": { "name": "vers:unknown/>=0|<=0.8.1-incubating", "product_id": "CSAFPID-5839806" } } ], "category": "product_name", "name": "spark-core_2.9.3" } ], "category": "vendor", "name": "apache" } ] }, "vulnerabilities": [ { "cve": "CVE-2025-54920", "cwe": { "id": "CWE-502", "name": "Deserialization of Untrusted Data" }, "notes": [ { "category": "description", "text": "This issue affects Apache Spark: before 3.5.7 and 4.0.1. Users are recommended to upgrade to version 3.5.7 or 4.0.1 and above, which fixes the issue.\n\n\n\n\n\nSummary\n\nApache Spark 3.5.4 and earlier versions contain a code execution vulnerability in the Spark History Web UI due to overly permissive Jackson deserialization of event log data. This allows an attacker with access to the Spark event logs directory to inject malicious JSON payloads that trigger deserialization of arbitrary classes, enabling command execution on the host running the Spark History Server.\n\n\n\n\n\nDetails\n\nThe vulnerability arises because the Spark History Server uses Jackson polymorphic deserialization with @JsonTypeInfo.Id.CLASS on SparkListenerEvent objects, allowing an attacker to specify arbitrary class names in the event JSON. This behavior permits instantiating unintended classes, such as org.apache.hive.jdbc.HiveConnection, which can perform network calls or other malicious actions during deserialization.\n\n\nThe attacker can exploit this by injecting crafted JSON content into the Spark event log files, which the History Server then deserializes on startup or when loading event logs. For example, the attacker can force the History Server to open a JDBC connection to a remote attacker-controlled server, demonstrating remote command injection capability.\n\n\n\n\n\n\nProof of Concept:\n\n1. Run Spark with event logging enabled, writing to a writable directory (spark-logs).\n\n2. Inject the following JSON at the beginning of an event log file:\n\n\n{\n\n \"Event\": \"org.apache.hive.jdbc.HiveConnection\",\n \"uri\": \"jdbc:hive2://:/\",\n \"info\": {\n \"hive.metastore.uris\": \"thrift://:\"\n }\n}\n\n\n\n\n\n\n\n3. Start the Spark History Server with logs pointing to the modified directory.\n\n4. The Spark History Server initiates a JDBC connection to the attacker’s server, confirming the injection.\n\n\n\n\n\n\n\n\n\n\nImpact\n\nAn attacker with write access to Spark event logs can execute arbitrary code on the server running the History Server, potentially compromising the entire system.", "title": "cveprojectv5 - https://www.cve.org/CVERecord?id=CVE-2025-54920" }, { "category": "description", "text": "This issue affects Apache Spark: before 3.5.7 and 4.0.1. Users are recommended to upgrade to version 3.5.7 or 4.0.1 and above, which fixes the issue.\n\n\n\n\n\nSummary\n\nApache Spark 3.5.4 and earlier versions contain a code execution vulnerability in the Spark History Web UI due to overly permissive Jackson deserialization of event log data. This allows an attacker with access to the Spark event logs directory to inject malicious JSON payloads that trigger deserialization of arbitrary classes, enabling command execution on the host running the Spark History Server.\n\n\n\n\n\nDetails\n\nThe vulnerability arises because the Spark History Server uses Jackson polymorphic deserialization with @JsonTypeInfo.Id.CLASS on SparkListenerEvent objects, allowing an attacker to specify arbitrary class names in the event JSON. This behavior permits instantiating unintended classes, such as org.apache.hive.jdbc.HiveConnection, which can perform network calls or other malicious actions during deserialization.\n\n\nThe attacker can exploit this by injecting crafted JSON content into the Spark event log files, which the History Server then deserializes on startup or when loading event logs. For example, the attacker can force the History Server to open a JDBC connection to a remote attacker-controlled server, demonstrating remote command injection capability.\n\n\n\n\n\n\nProof of Concept:\n\n1. Run Spark with event logging enabled, writing to a writable directory (spark-logs).\n\n2. Inject the following JSON at the beginning of an event log file:\n\n\n{\n\n \"Event\": \"org.apache.hive.jdbc.HiveConnection\",\n \"uri\": \"jdbc:hive2://:/\",\n \"info\": {\n \"hive.metastore.uris\": \"thrift://:\"\n }\n}\n\n\n\n\n\n\n\n3. Start the Spark History Server with logs pointing to the modified directory.\n\n4. The Spark History Server initiates a JDBC connection to the attacker’s server, confirming the injection.\n\n\n\n\n\n\n\n\n\n\nImpact\n\nAn attacker with write access to Spark event logs can execute arbitrary code on the server running the History Server, potentially compromising the entire system.", "title": "nvd - https://nvd.nist.gov/vuln/detail/CVE-2025-54920" }, { "category": "description", "text": "Apache Spark contain a code execution vulnerability in the Spark History Web UI due to overly permissive Jackson deserialization of event log data. This allows an attacker with access to the Spark event logs directory to inject malicious JSON payloads that trigger deserialization of arbitrary classes, enabling command execution on the host running the Spark History Server.", "title": "redhat - https://access.redhat.com/security/cve/CVE-2025-54920" }, { "category": "description", "text": "This issue affects Apache Spark: before 3.5.7 and 4.0.1. Users are recommended to upgrade to version 3.5.7 or 4.0.1 and above, which fixes the issue.\n\n## Summary\n\nApache Spark 3.5.4 and earlier versions contain a code execution vulnerability in the Spark History Web UI due to overly permissive Jackson deserialization of event log data. This allows an attacker with access to the Spark event logs directory to inject malicious JSON payloads that trigger deserialization of arbitrary classes, enabling command execution on the host running the Spark History Server.\n\n## Details\n\nThe vulnerability arises because the Spark History Server uses Jackson polymorphic deserialization with @JsonTypeInfo.Id.CLASS on SparkListenerEvent objects, allowing an attacker to specify arbitrary class names in the event JSON. This behavior permits instantiating unintended classes, such as org.apache.hive.jdbc.HiveConnection, which can perform network calls or other malicious actions during deserialization.\n\nThe attacker can exploit this by injecting crafted JSON content into the Spark event log files, which the History Server then deserializes on startup or when loading event logs. For example, the attacker can force the History Server to open a JDBC connection to a remote attacker-controlled server, demonstrating remote command injection capability.\n\n## Proof of Concept:\n\n1. Run Spark with event logging enabled, writing to a writable directory (spark-logs).\n\n2. Inject the following JSON at the beginning of an event log file:\n\n```\n{\n\n \"Event\": \"org.apache.hive.jdbc.HiveConnection\",\n \"uri\": \"jdbc:hive2://:/\",\n \"info\": {\n \"hive.metastore.uris\": \"thrift://:\"\n }\n}\n```\n3. Start the Spark History Server with logs pointing to the modified directory.\n\n4. The Spark History Server initiates a JDBC connection to the attacker’s server, confirming the injection.\n\n## Impact\n\nAn attacker with write access to Spark event logs can execute arbitrary code on the server running the History Server, potentially compromising the entire system.", "title": "github - https://github.com/advisories/GHSA-jwp6-cvj8-fw65" }, { "category": "description", "text": "This issue affects Apache Spark: before 3.5.7 and 4.0.1. Users are recommended to upgrade to version 3.5.7 or 4.0.1 and above, which fixes the issue.\n\n## Summary\n\nApache Spark 3.5.4 and earlier versions contain a code execution vulnerability in the Spark History Web UI due to overly permissive Jackson deserialization of event log data. This allows an attacker with access to the Spark event logs directory to inject malicious JSON payloads that trigger deserialization of arbitrary classes, enabling command execution on the host running the Spark History Server.\n\n## Details\n\nThe vulnerability arises because the Spark History Server uses Jackson polymorphic deserialization with @JsonTypeInfo.Id.CLASS on SparkListenerEvent objects, allowing an attacker to specify arbitrary class names in the event JSON. This behavior permits instantiating unintended classes, such as org.apache.hive.jdbc.HiveConnection, which can perform network calls or other malicious actions during deserialization.\n\nThe attacker can exploit this by injecting crafted JSON content into the Spark event log files, which the History Server then deserializes on startup or when loading event logs. For example, the attacker can force the History Server to open a JDBC connection to a remote attacker-controlled server, demonstrating remote command injection capability.\n\n## Proof of Concept:\n\n1. Run Spark with event logging enabled, writing to a writable directory (spark-logs).\n\n2. Inject the following JSON at the beginning of an event log file:\n\n```\n{\n\n \"Event\": \"org.apache.hive.jdbc.HiveConnection\",\n \"uri\": \"jdbc:hive2://:/\",\n \"info\": {\n \"hive.metastore.uris\": \"thrift://:\"\n }\n}\n```\n3. Start the Spark History Server with logs pointing to the modified directory.\n\n4. The Spark History Server initiates a JDBC connection to the attacker’s server, confirming the injection.\n\n## Impact\n\nAn attacker with write access to Spark event logs can execute arbitrary code on the server running the History Server, potentially compromising the entire system.", "title": "osv - https://www.googleapis.com/download/storage/v1/b/osv-vulnerabilities/o/Maven%2FGHSA-jwp6-cvj8-fw65.json?alt=media" }, { "category": "description", "text": "This issue affects Apache Spark: before 3.5.7 and 4.0.1. Users are recommended to upgrade to version 3.5.7 or 4.0.1 and above, which fixes the issue.\n\n\n\n\n\nSummary\n\nApache Spark 3.5.4 and earlier versions contain a code execution vulnerability in the Spark History Web UI due to overly permissive Jackson deserialization of event log data. This allows an attacker with access to the Spark event logs directory to inject malicious JSON payloads that trigger deserialization of arbitrary classes, enabling command execution on the host running the Spark History Server.\n\n\n\n\n\nDetails\n\nThe vulnerability arises because the Spark History Server uses Jackson polymorphic deserialization with @JsonTypeInfo.Id.CLASS on SparkListenerEvent objects, allowing an attacker to specify arbitrary class names in the event JSON. This behavior permits instantiating unintended classes, such as org.apache.hive.jdbc.HiveConnection, which can perform network calls or other malicious actions during deserialization.\n\n\nThe attacker can exploit this by injecting crafted JSON content into the Spark event log files, which the History Server then deserializes on startup or when loading event logs. For example, the attacker can force the History Server to open a JDBC connection to a remote attacker-controlled server, demonstrating remote command injection capability.\n\n\n\n\n\n\nProof of Concept:\n\n1. Run Spark with event logging enabled, writing to a writable directory (spark-logs).\n\n2. Inject the following JSON at the beginning of an event log file:\n\n\n{\n\n \"Event\": \"org.apache.hive.jdbc.HiveConnection\",\n \"uri\": \"jdbc:hive2://:/\",\n \"info\": {\n \"hive.metastore.uris\": \"thrift://:\"\n }\n}\n\n\n\n\n\n\n\n3. Start the Spark History Server with logs pointing to the modified directory.\n\n4. The Spark History Server initiates a JDBC connection to the attacker’s server, confirming the injection.\n\n\n\n\n\n\n\n\n\n\nImpact\n\nAn attacker with write access to Spark event logs can execute arbitrary code on the server running the History Server, potentially compromising the entire system.", "title": "osv - https://www.googleapis.com/download/storage/v1/b/osv-vulnerabilities/o/Bitnami%2FBIT-spark-2025-54920.json?alt=media" }, { "category": "description", "text": "This issue affects Apache Spark: before 3.5.7 and 4.0.1. Users are recommended to upgrade to version 3.5.7 or 4.0.1 and above, which fixes the issue.\n\n## Summary\n\nApache Spark 3.5.4 and earlier versions contain a code execution vulnerability in the Spark History Web UI due to overly permissive Jackson deserialization of event log data. This allows an attacker with access to the Spark event logs directory to inject malicious JSON payloads that trigger deserialization of arbitrary classes, enabling command execution on the host running the Spark History Server.\n\n## Details\n\nThe vulnerability arises because the Spark History Server uses Jackson polymorphic deserialization with @JsonTypeInfo.Id.CLASS on SparkListenerEvent objects, allowing an attacker to specify arbitrary class names in the event JSON. This behavior permits instantiating unintended classes, such as org.apache.hive.jdbc.HiveConnection, which can perform network calls or other malicious actions during deserialization.\n\nThe attacker can exploit this by injecting crafted JSON content into the Spark event log files, which the History Server then deserializes on startup or when loading event logs. For example, the attacker can force the History Server to open a JDBC connection to a remote attacker-controlled server, demonstrating remote command injection capability.\n\n## Proof of Concept:\n\n1. Run Spark with event logging enabled, writing to a writable directory (spark-logs).\n\n2. Inject the following JSON at the beginning of an event log file:\n\n```\n{\n\n \"Event\": \"org.apache.hive.jdbc.HiveConnection\",\n \"uri\": \"jdbc:hive2://:/\",\n \"info\": {\n \"hive.metastore.uris\": \"thrift://:\"\n }\n}\n```\n3. Start the Spark History Server with logs pointing to the modified directory.\n\n4. The Spark History Server initiates a JDBC connection to the attacker’s server, confirming the injection.\n\n## Impact\n\nAn attacker with write access to Spark event logs can execute arbitrary code on the server running the History Server, potentially compromising the entire system.", "title": "github - https://api.github.com/advisories/GHSA-jwp6-cvj8-fw65" }, { "category": "description", "text": "This issue affects Apache Spark: before 3.5.7 and 4.0.1. Users are recommended to upgrade to version 3.5.7 or 4.0.1 and above, which fixes the issue.\n\n\n\n\n\nSummary\n\nApache Spark 3.5.4 and earlier versions contain a code execution vulnerability in the Spark History Web UI due to overly permissive Jackson deserialization of event log data. This allows an attacker with access to the Spark event logs directory to inject malicious JSON payloads that trigger deserialization of arbitrary classes, enabling command execution on the host running the Spark History Server.\n\n\n\n\n\nDetails\n\nThe vulnerability arises because the Spark History Server uses Jackson polymorphic deserialization with @JsonTypeInfo.Id.CLASS on SparkListenerEvent objects, allowing an attacker to specify arbitrary class names in the event JSON. This behavior permits instantiating unintended classes, such as org.apache.hive.jdbc.HiveConnection, which can perform network calls or other malicious actions during deserialization.\n\n\nThe attacker can exploit this by injecting crafted JSON content into the Spark event log files, which the History Server then deserializes on startup or when loading event logs. For example, the attacker can force the History Server to open a JDBC connection to a remote attacker-controlled server, demonstrating remote command injection capability.\n\n\n\n\n\n\nProof of Concept:\n\n1. Run Spark with event logging enabled, writing to a writable directory (spark-logs).\n\n2. Inject the following JSON at the beginning of an event log file:\n\n\n{\n\n \"Event\": \"org.apache.hive.jdbc.HiveConnection\",\n \"uri\": \"jdbc:hive2://:/\",\n \"info\": {\n \"hive.metastore.uris\": \"thrift://:\"\n }\n}\n\n\n\n\n\n\n\n3. Start the Spark History Server with logs pointing to the modified directory.\n\n4. The Spark History Server initiates a JDBC connection to the attacker’s server, confirming the injection.\n\n\n\n\n\n\n\n\n\n\nImpact\n\nAn attacker with write access to Spark event logs can execute arbitrary code on the server running the History Server, potentially compromising the entire system.", "title": "nvd - https://services.nvd.nist.gov/rest/json/cves/2.0?cveId=CVE-2025-54920" }, { "category": "other", "text": "0.00498", "title": "EPSS" }, { "category": "other", "text": "3.6", "title": "NCSC Score" }, { "category": "other", "text": "There is product data available from source Redhat", "title": "NCSC Score top increasing factors" }, { "category": "other", "text": "Is related to a product by vendor Apache, There is product_remediation data available from source Redhat, There is cwe data available from source Nvd, Is related to CWE-502 (Deserialization of Untrusted Data), There is exploit data available from source Nvd", "title": "NCSC Score top decreasing factors" }, { "category": "details", "text": "Severity: 2\n", "title": "Vendor assessment" } ], "product_status": { "known_affected": [ "CSAFPID-5827406", "CSAFPID-5827407", "CSAFPID-1439279", "CSAFPID-1439294", "CSAFPID-5811359", "CSAFPID-5830424", "CSAFPID-5260143", "CSAFPID-5260144", "CSAFPID-5260145", "CSAFPID-5260146", "CSAFPID-5260147", "CSAFPID-5260148", "CSAFPID-5260149", "CSAFPID-5260150", "CSAFPID-5260151", "CSAFPID-5260152", "CSAFPID-5260153", "CSAFPID-5260154", "CSAFPID-5260155", "CSAFPID-5260156", "CSAFPID-5260157", "CSAFPID-5260158", "CSAFPID-5260159", "CSAFPID-5260160", "CSAFPID-5260161", "CSAFPID-5260163", "CSAFPID-5260164", "CSAFPID-5260165", "CSAFPID-5260166", "CSAFPID-5260167", "CSAFPID-5260168", "CSAFPID-5260169", "CSAFPID-5260170", "CSAFPID-5260171", "CSAFPID-5260172", "CSAFPID-5260173", "CSAFPID-5260174", "CSAFPID-5260175", "CSAFPID-5260176", "CSAFPID-5260177", "CSAFPID-5260178", "CSAFPID-5260179", "CSAFPID-5260180", "CSAFPID-5260181", "CSAFPID-5281046", "CSAFPID-5281047", "CSAFPID-5281049", "CSAFPID-5281050", "CSAFPID-5281052", "CSAFPID-5281054", "CSAFPID-5281055", "CSAFPID-5281056", "CSAFPID-5281057", "CSAFPID-5281058", "CSAFPID-5281059", "CSAFPID-5281060", "CSAFPID-5281061", "CSAFPID-5281062", "CSAFPID-5281063", "CSAFPID-5281064", "CSAFPID-5281065", "CSAFPID-5281066", "CSAFPID-5281067", "CSAFPID-5281068", "CSAFPID-5281069", "CSAFPID-5281070", "CSAFPID-5281071", "CSAFPID-5281072", "CSAFPID-5281073", "CSAFPID-5281074", "CSAFPID-5281076", "CSAFPID-5281078", "CSAFPID-5281079", "CSAFPID-5281080", "CSAFPID-5281081", "CSAFPID-5281082", "CSAFPID-5281083", "CSAFPID-5281084", "CSAFPID-5281085", "CSAFPID-5281086", "CSAFPID-5281087", "CSAFPID-5281088", "CSAFPID-5281089", "CSAFPID-5281090", "CSAFPID-5281091", "CSAFPID-5281092", "CSAFPID-5281093", "CSAFPID-5281094", "CSAFPID-5281095", "CSAFPID-5281096", "CSAFPID-5281097", "CSAFPID-5281098", "CSAFPID-5281100", "CSAFPID-5281101", "CSAFPID-5281102", "CSAFPID-5281103", "CSAFPID-5281104", "CSAFPID-5281105", "CSAFPID-5281106", "CSAFPID-5281107", "CSAFPID-5281108", "CSAFPID-5281109", "CSAFPID-5281110", "CSAFPID-5281111", "CSAFPID-5281112", "CSAFPID-5281113", "CSAFPID-5281114", "CSAFPID-5839760", "CSAFPID-5839761", "CSAFPID-5839762", "CSAFPID-5839763", "CSAFPID-5839764", "CSAFPID-5839765", "CSAFPID-5839766", "CSAFPID-5839767", "CSAFPID-5839768", "CSAFPID-5839769", "CSAFPID-5839770", "CSAFPID-5839771", "CSAFPID-5839772", "CSAFPID-5839773", "CSAFPID-5839774", "CSAFPID-5839775", "CSAFPID-5839776", "CSAFPID-5839777", "CSAFPID-5839778", "CSAFPID-5839779", "CSAFPID-5839780", "CSAFPID-5839781", "CSAFPID-5839782", "CSAFPID-5839783", "CSAFPID-5839784", "CSAFPID-5839785", "CSAFPID-5839786", "CSAFPID-5839787", "CSAFPID-5839788", "CSAFPID-5839789", "CSAFPID-5839790", "CSAFPID-5839791", "CSAFPID-5839792", "CSAFPID-5839793", "CSAFPID-5839794", "CSAFPID-5839795", "CSAFPID-5839796", "CSAFPID-5839797", "CSAFPID-5839798", "CSAFPID-5839799", "CSAFPID-5839800", "CSAFPID-5839801", "CSAFPID-5839802", "CSAFPID-5839803", "CSAFPID-5839804", "CSAFPID-5839805", "CSAFPID-5839806", "CSAFPID-5843719", "CSAFPID-5843720", "CSAFPID-5875629", "CSAFPID-5875630", "CSAFPID-5875631", "CSAFPID-5875632", "CSAFPID-5875633", "CSAFPID-5875634", "CSAFPID-5875635", "CSAFPID-5875636", "CSAFPID-5875637", "CSAFPID-5875638" ] }, "references": [ { "category": "external", "summary": "Source - cveprojectv5", "url": "https://www.cve.org/CVERecord?id=CVE-2025-54920" }, { "category": "external", "summary": "Source raw - cveprojectv5", "url": "https://raw.githubusercontent.com/CVEProject/cvelistV5/main/cves/2025/54xxx/CVE-2025-54920.json" }, { "category": "external", "summary": "Source - first", "url": "https://api.first.org/data/v1/epss?cve=CVE-2025-54920" }, { "category": "external", "summary": "Source raw - first", "url": "https://api.first.org/data/v1/epss?limit=10000&offset=10000" }, { "category": "external", "summary": "Source - nvd", "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-54920" }, { "category": "external", "summary": "Source raw - nvd", "url": "https://services.nvd.nist.gov/rest/json/cves/2.0?cveId=CVE-2025-54920" }, { "category": "external", "summary": "Source - redhat", "url": "https://access.redhat.com/security/cve/CVE-2025-54920" }, { "category": "external", "summary": "Source raw - redhat", "url": "https://access.redhat.com/hydra/rest/securitydata/cve/CVE-2025-54920.json" }, { "category": "external", "summary": "Source - github", "url": "https://github.com/advisories/GHSA-jwp6-cvj8-fw65" }, { "category": "external", "summary": "Source raw - github", "url": "https://api.github.com/advisories/GHSA-jwp6-cvj8-fw65" }, { "category": "external", "summary": "Source - osv", "url": "https://www.googleapis.com/download/storage/v1/b/osv-vulnerabilities/o/Maven%2FGHSA-jwp6-cvj8-fw65.json?alt=media" }, { "category": "external", "summary": "Source - osv", "url": "https://www.googleapis.com/download/storage/v1/b/osv-vulnerabilities/o/Bitnami%2FBIT-spark-2025-54920.json?alt=media" }, { "category": "external", "summary": "Source - github", "url": "https://api.github.com/advisories/GHSA-jwp6-cvj8-fw65" }, { "category": "external", "summary": "Source - first", "url": "https://api.first.org/data/v1/epss?limit=10000&offset=10000" }, { "category": "external", "summary": "Source - first", "url": "https://api.first.org/data/v1/epss?limit=10000&offset=20000" }, { "category": "external", "summary": "Source - nvd", "url": "https://services.nvd.nist.gov/rest/json/cves/2.0?cveId=CVE-2025-54920" }, { "category": "external", "summary": "Reference - cveprojectv5; github; nvd; osv; redhat", "url": "https://github.com/apache/spark/pull/51312" }, { "category": "external", "summary": "Reference - cveprojectv5; github; nvd; osv; redhat", "url": "https://github.com/apache/spark/pull/51323" }, { "category": "external", "summary": "Reference - cveprojectv5; github; nvd; osv; redhat", "url": "https://issues.apache.org/jira/browse/SPARK-52381" }, { "category": "external", "summary": "Reference - cveprojectv5; github; nvd; osv; redhat", "url": "https://lists.apache.org/thread/4y9n0nfj7m68o2hpmoxgc0y7dm1lo02s" }, { "category": "external", "summary": "Reference - cveprojectv5; github; nvd; osv; redhat", "url": "http://www.openwall.com/lists/oss-security/2026/03/13/4" }, { "category": "external", "summary": "Reference - redhat", "url": "https://www.cve.org/CVERecord?id=CVE-2025-54920" }, { "category": "external", "summary": "Reference - github; osv; redhat", "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-54920" }, { "category": "external", "summary": "Reference - github", "url": "https://github.com/advisories/GHSA-jwp6-cvj8-fw65" } ], "remediations": [ { "category": "mitigation", "details": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability.", "product_ids": [ "CSAFPID-1439279", "CSAFPID-1439294", "CSAFPID-5811359", "CSAFPID-5830424" ] } ], "scores": [ { "cvss_v3": { "version": "3.1", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H", "baseScore": 8.8, "baseSeverity": "HIGH" }, "products": [ "CSAFPID-1439279", "CSAFPID-1439294", "CSAFPID-5260143", "CSAFPID-5260144", "CSAFPID-5260145", "CSAFPID-5260146", "CSAFPID-5260147", "CSAFPID-5260148", "CSAFPID-5260149", "CSAFPID-5260150", "CSAFPID-5260151", "CSAFPID-5260152", "CSAFPID-5260153", "CSAFPID-5260154", "CSAFPID-5260155", "CSAFPID-5260156", "CSAFPID-5260157", "CSAFPID-5260158", "CSAFPID-5260159", "CSAFPID-5260160", "CSAFPID-5260161", "CSAFPID-5260163", "CSAFPID-5260164", "CSAFPID-5260165", "CSAFPID-5260166", "CSAFPID-5260167", "CSAFPID-5260168", "CSAFPID-5260169", "CSAFPID-5260170", "CSAFPID-5260171", "CSAFPID-5260172", "CSAFPID-5260173", "CSAFPID-5260174", "CSAFPID-5260175", "CSAFPID-5260176", "CSAFPID-5260177", "CSAFPID-5260178", "CSAFPID-5260179", "CSAFPID-5260180", "CSAFPID-5260181", "CSAFPID-5281046", "CSAFPID-5281047", "CSAFPID-5281049", "CSAFPID-5281050", "CSAFPID-5281052", "CSAFPID-5281054", "CSAFPID-5281055", "CSAFPID-5281056", "CSAFPID-5281057", "CSAFPID-5281058", "CSAFPID-5281059", "CSAFPID-5281060", "CSAFPID-5281061", "CSAFPID-5281062", "CSAFPID-5281063", "CSAFPID-5281064", "CSAFPID-5281065", "CSAFPID-5281066", "CSAFPID-5281067", "CSAFPID-5281068", "CSAFPID-5281069", "CSAFPID-5281070", "CSAFPID-5281071", "CSAFPID-5281072", "CSAFPID-5281073", "CSAFPID-5281074", "CSAFPID-5281076", "CSAFPID-5281078", "CSAFPID-5281079", "CSAFPID-5281080", "CSAFPID-5281081", "CSAFPID-5281082", "CSAFPID-5281083", "CSAFPID-5281084", "CSAFPID-5281085", "CSAFPID-5281086", "CSAFPID-5281087", "CSAFPID-5281088", "CSAFPID-5281089", "CSAFPID-5281090", "CSAFPID-5281091", "CSAFPID-5281092", "CSAFPID-5281093", "CSAFPID-5281094", "CSAFPID-5281095", "CSAFPID-5281096", "CSAFPID-5281097", "CSAFPID-5281098", "CSAFPID-5281100", "CSAFPID-5281101", "CSAFPID-5281102", "CSAFPID-5281103", "CSAFPID-5281104", "CSAFPID-5281105", "CSAFPID-5281106", "CSAFPID-5281107", "CSAFPID-5281108", "CSAFPID-5281109", "CSAFPID-5281110", "CSAFPID-5281111", "CSAFPID-5281112", "CSAFPID-5281113", "CSAFPID-5281114", "CSAFPID-5811359", "CSAFPID-5827406", "CSAFPID-5827407", "CSAFPID-5830424", "CSAFPID-5839760", "CSAFPID-5839761", "CSAFPID-5839762", "CSAFPID-5839763", "CSAFPID-5839764", "CSAFPID-5839765", "CSAFPID-5839766", "CSAFPID-5839767", "CSAFPID-5839768", "CSAFPID-5839769", "CSAFPID-5839770", "CSAFPID-5839771", "CSAFPID-5839772", "CSAFPID-5839773", "CSAFPID-5839774", "CSAFPID-5839775", "CSAFPID-5839776", "CSAFPID-5839777", "CSAFPID-5839778", "CSAFPID-5839779", "CSAFPID-5839780", "CSAFPID-5839781", "CSAFPID-5839782", "CSAFPID-5839783", "CSAFPID-5839784", "CSAFPID-5839785", "CSAFPID-5839786", "CSAFPID-5839787", "CSAFPID-5839788", "CSAFPID-5839789", "CSAFPID-5839790", "CSAFPID-5839791", "CSAFPID-5839792", "CSAFPID-5839793", "CSAFPID-5839794", "CSAFPID-5839795", "CSAFPID-5839796", "CSAFPID-5839797", "CSAFPID-5839798", "CSAFPID-5839799", "CSAFPID-5839800", "CSAFPID-5839801", "CSAFPID-5839802", "CSAFPID-5839803", "CSAFPID-5839804", "CSAFPID-5839805", "CSAFPID-5839806", "CSAFPID-5843719", "CSAFPID-5843720", "CSAFPID-5875629", "CSAFPID-5875630", "CSAFPID-5875631", "CSAFPID-5875632", "CSAFPID-5875633", "CSAFPID-5875634", "CSAFPID-5875635", "CSAFPID-5875636", "CSAFPID-5875637", "CSAFPID-5875638" ] } ], "title": "CVE-2025-54920" } ] }