{"id":10150,"date":"2026-01-26T10:04:22","date_gmt":"2026-01-26T10:04:22","guid":{"rendered":"https:\/\/serisec.com\/index.php\/2026\/01\/26\/apache-hadoop-vulnerability-exposes-systems-potential-crashes-or-data-corruption\/"},"modified":"2026-01-26T10:04:22","modified_gmt":"2026-01-26T10:04:22","slug":"apache-hadoop-vulnerability-exposes-systems-potential-crashes-or-data-corruption","status":"publish","type":"post","link":"https:\/\/serisec.com\/index.php\/2026\/01\/26\/apache-hadoop-vulnerability-exposes-systems-potential-crashes-or-data-corruption\/","title":{"rendered":"Apache Hadoop Vulnerability Exposes Systems Potential Crashes or Data Corruption"},"content":{"rendered":"

Apache Hadoop Vulnerability Exposes Systems Potential Crashes or Data Corruption
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A moderate-severity vulnerability in the Hadoop Distributed File System (HDFS<\/a>) native client could allow attackers to trigger system crashes or corrupt critical data through maliciously crafted URI inputs.<\/p>\n

The vulnerability, tracked as CVE-2025-27821, affects Apache Hadoop versions 3.2.0 through 3.4.1. Stems from an out-of-bounds<\/a> write flaw in the URI parser of the HDFS native client.<\/p>\n

This security weakness enables attackers to write data beyond allocated memory boundaries, potentially leading to application crashes, denial-of-service (DoS<\/a>) attacks, or data corruption.<\/p>\n

Technical Impact<\/strong><\/h2>\n

The out-of-bounds write vulnerability occurs when the native HDFS client processes specially crafted Uniform Resource Identifiers (URIs).<\/p>\n

\n\n\n\n\n\n
CVE ID<\/strong><\/th>\nSeverity<\/strong><\/th>\nAffected Versions<\/strong><\/th>\nComponent<\/strong><\/th>\n<\/tr>\n<\/thead>\n
CVE-2025-27821<\/strong><\/td>\nModerate<\/td>\n3.2.0 \u2013 3.4.1<\/td>\nHDFS Native Client<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

By exploiting improper bounds checking in the URI parsing logic, attackers can cause the application to write data to unintended memory locations.<\/p>\n

This type of memory corruption<\/a> vulnerability can result in unpredictable system behavior, including service disruptions and potential data integrity issues.<\/p>\n

Organizations using HDFS native clients for distributed storage operations face particular risk, as compromised file system operations could affect data reliability across clustered environments.<\/p>\n

The vulnerability was discovered and reported by security researcher BUI Ngoc Tan, who received credit for responsible disclosure.<\/p>\n

Affected Systems and Mitigation<\/strong><\/h2>\n

The vulnerability impacts all Apache Hadoop deployments running versions 3.2.0 through 3.4.1 that utilize the hadoop-hdfs-native-client component.<\/p>\n

Apache has classified this as a moderate-severity issue, internally tracked as HDFS-17754. Apache has released Hadoop version 3.4.2 with patches that address the URI parsing<\/a> flaw.<\/p>\n

Organizations are strongly recommended to upgrade to version 3.4.2 immediately to eliminate the vulnerability.<\/p>\n

System administrators should prioritize patching<\/a> HDFS native client installations, particularly in production environments that handle sensitive data or run mission-critical workloads.<\/p>\n

According to SecLists <\/a>advisory, for organizations unable to patch immediately, implement network-level controls to restrict URI inputs.<\/p>\n

Monitoring HDFS client logs for unusual parsing errors or crashes can temporarily reduce risk until the upgrade is completed.<\/p>\n

The disclosure follows Apache\u2019s standard vulnerability coordination procedures, with full technical details available through the official Apache Hadoop security advisory and CVE database.<\/p>\n

Follow us on Google News<\/a>, LinkedIn<\/a>, and X<\/a> for daily cybersecurity updates. Contact us<\/a> to feature your stories.<\/strong><\/p>\n

The post Apache Hadoop Vulnerability Exposes Systems Potential Crashes or Data Corruption<\/a> appeared first on Cyber Security News<\/a>.<\/p>\n<\/div>\n

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Apache Hadoop Vulnerability Exposes Systems Potential Crashes or Data Corruption A moderate-severity vulnerability in the Hadoop Distributed File System (HDFS) native client could allow attackers to trigger system crashes or corrupt critical data through maliciously crafted URI inputs. The vulnerability, tracked as CVE-2025-27821, affects Apache Hadoop versions 3.2.0 through 3.4.1. Stems from an out-of-bounds write […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[803,129,63,648],"tags":[130],"class_list":["post-10150","post","type-post","status-publish","format-standard","hentry","category-apache","category-cyber-security","category-cyber-security-news","category-vulnerability-news","tag-cyber-security-news"],"_links":{"self":[{"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/posts\/10150"}],"collection":[{"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/comments?post=10150"}],"version-history":[{"count":0,"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/posts\/10150\/revisions"}],"wp:attachment":[{"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/media?parent=10150"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/categories?post=10150"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/serisec.com\/index.php\/wp-json\/wp\/v2\/tags?post=10150"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}