Filtered by vendor Apache
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3520 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2025-59355 | 1 Apache | 1 Linkis | 2026-06-17 | N/A | 6.5 MEDIUM |
| A vulnerability. When org.apache.linkis.metadata.util.HiveUtils.decode() fails to perform Base64 decoding, it records the complete input parameter string in the log via logger.error(str + "decode failed", e). If the input parameter contains sensitive information such as Hive Metastore keys, plaintext passwords will be left in the log files when decoding fails, resulting in information leakage. Affected Scope Component: Sensitive fields in hive-site.xml (e.g., javax.jdo.option.ConnectionPassword) or other fields encoded in Base64. Version: Apache Linkis 1.0.0 – 1.7.0 Trigger Conditions The value of the configuration item is an invalid Base64 string. Log files are readable by users other than hive-site.xml administrators. Severity: Low The probability of Base64 decoding failure is low. The leakage is only triggered when logs at the Error level are exposed. Remediation Apache Linkis 1.8.0 and later versions have replaced the log with desensitized content. logger.error("URL decode failed: {}", e.getMessage()); // 不再输出 str Users are recommended to upgrade to version 1.8.0, which fixes the issue. | |||||
| CVE-2025-59328 | 1 Apache | 1 Fory | 2026-06-17 | N/A | 6.5 MEDIUM |
| A vulnerability in Apache Fory allows a remote attacker to cause a Denial of Service (DoS). The issue stems from the insecure deserialization of untrusted data. An attacker can supply a large, specially crafted data payload that, when processed, consumes an excessive amount of CPU resources during the deserialization process. This leads to CPU exhaustion, rendering the application or system using the Apache Fory library unresponsive and unavailable to legitimate users. Users of Apache Fory are strongly advised to upgrade to version 0.12.2 or later to mitigate this vulnerability. Developers of libraries and applications that depend on Apache Fory should update their dependency requirements to Apache Fory 0.12.2 or later and release new versions of their software. | |||||
| CVE-2025-59059 | 1 Apache | 1 Ranger | 2026-06-17 | N/A | 9.8 CRITICAL |
| Remote Code Execution Vulnerability in NashornScriptEngineCreator is reported in Apache Ranger versions <= 2.7.0. Users are recommended to upgrade to version 2.8.0, which fixes this issue. | |||||
| CVE-2025-58457 | 1 Apache | 1 Zookeeper | 2026-06-17 | N/A | 4.3 MEDIUM |
| Improper permission check in ZooKeeper AdminServer lets authorized clients to run snapshot and restore command with insufficient permissions. This issue affects Apache ZooKeeper: from 3.9.0 before 3.9.4. Users are recommended to upgrade to version 3.9.4, which fixes the issue. The issue can be mitigated by disabling both commands (via admin.snapshot.enabled and admin.restore.enabled), disabling the whole AdminServer interface (via admin.enableServer), or ensuring that the root ACL does not provide open permissions. (Note that ZooKeeper ACLs are not recursive, so this does not impact operations on child nodes besides notifications from recursive watches.) | |||||
| CVE-2025-55675 | 1 Apache | 1 Superset | 2026-06-17 | N/A | 6.5 MEDIUM |
| Apache Superset contains an improper access control vulnerability in its /explore endpoint. A missing authorization check allows an authenticated user to discover metadata about datasources they do not have permission to access. By iterating through the datasource_id in the URL, an attacker can enumerate and confirm the existence and names of protected datasources, leading to sensitive information disclosure. This issue affects Apache Superset: before 5.0.0. Users are recommended to upgrade to version 5.0.0, which fixes the issue. | |||||
| CVE-2025-55674 | 1 Apache | 1 Superset | 2026-06-17 | N/A | 6.5 MEDIUM |
| A bypass of the DISALLOWED_SQL_FUNCTIONS security feature in Apache Superset allows for the execution of blocked SQL functions. An attacker can use a special inline block to circumvent the denylist. This allows a user with SQL Lab access to execute functions that were intended to be disabled, leading to the disclosure of sensitive database information like the software version. This issue affects Apache Superset: before 5.0.0. Users are recommended to upgrade to version 5.0.0, which fixes the issue. | |||||
| CVE-2025-55673 | 1 Apache | 1 Superset | 2026-06-17 | N/A | 4.3 MEDIUM |
| When a guest user accesses a chart in Apache Superset, the API response from the /chart/data endpoint includes a query field in its payload. This field contains the underlying query, which improperly discloses database schema information, such as table names, to the low-privileged guest user. This issue affects Apache Superset: before 4.1.3. Users are recommended to upgrade to version 4.1.3, which fixes the issue. | |||||
| CVE-2025-55672 | 1 Apache | 1 Superset | 2026-06-17 | N/A | 5.4 MEDIUM |
| A stored Cross-Site Scripting (XSS) vulnerability exists in Apache Superset's chart visualization. An authenticated user with permissions to edit charts can inject a malicious payload into a column's label. The payload is not properly sanitized and gets executed in the victim's browser when they hover over the chart, potentially leading to session hijacking or the execution of arbitrary commands on behalf of the user. This issue affects Apache Superset: before 5.0.0. Users are recommended to upgrade to version 5.0.0, which fixes the issue. | |||||
| CVE-2025-55668 | 1 Apache | 1 Tomcat | 2026-06-17 | N/A | 6.5 MEDIUM |
| Session Fixation vulnerability in Apache Tomcat via rewrite valve. This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.7, from 10.1.0-M1 through 10.1.41, from 9.0.0.M1 through 9.0.105. Older, EOL versions may also be affected. Users are recommended to upgrade to version 11.0.8, 10.1.42 or 9.0.106, which fix the issue. | |||||
| CVE-2025-54988 | 1 Apache | 1 Tika | 2026-06-17 | N/A | 8.4 HIGH |
| Critical XXE in Apache Tika (tika-parser-pdf-module) in Apache Tika 1.13 through and including 3.2.1 on all platforms allows an attacker to carry out XML External Entity injection via a crafted XFA file inside of a PDF. An attacker may be able to read sensitive data or trigger malicious requests to internal resources or third-party servers. Note that the tika-parser-pdf-module is used as a dependency in several Tika packages including at least: tika-parsers-standard-modules, tika-parsers-standard-package, tika-app, tika-grpc and tika-server-standard. Users are recommended to upgrade to version 3.2.2, which fixes this issue. | |||||
| CVE-2025-54920 | 1 Apache | 1 Spark | 2026-06-17 | N/A | 8.8 HIGH |
| 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. Summary Apache 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. Details The 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. The 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. Proof of Concept: 1. Run Spark with event logging enabled, writing to a writable directory (spark-logs). 2. Inject the following JSON at the beginning of an event log file: { "Event": "org.apache.hive.jdbc.HiveConnection", "uri": "jdbc:hive2://<IP>:<PORT>/", "info": { "hive.metastore.uris": "thrift://<IP>:<PORT>" } } 3. Start the Spark History Server with logs pointing to the modified directory. 4. The Spark History Server initiates a JDBC connection to the attacker’s server, confirming the injection. Impact An attacker with write access to Spark event logs can execute arbitrary code on the server running the History Server, potentially compromising the entire system. | |||||
| CVE-2025-54813 | 1 Apache | 1 Log4cxx | 2026-06-17 | N/A | 7.5 HIGH |
| Improper Output Neutralization for Logs vulnerability in Apache Log4cxx. When using JSONLayout, not all payload bytes are properly escaped. If an attacker-supplied message contains certain non-printable characters, these will be passed along in the message and written out as part of the JSON message. This may prevent applications that consume these logs from correctly interpreting the information within them. This issue affects Apache Log4cxx: before 1.5.0. Users are recommended to upgrade to version 1.5.0, which fixes the issue. | |||||
| CVE-2025-54812 | 1 Apache | 1 Log4cxx | 2026-06-17 | N/A | 5.4 MEDIUM |
| Improper Output Neutralization for Logs vulnerability in Apache Log4cxx. When using HTMLLayout, logger names are not properly escaped when writing out to the HTML file. If untrusted data is used to retrieve the name of a logger, an attacker could theoretically inject HTML or Javascript in order to hide information from logs or steal data from the user. In order to activate this, the following sequence must occur: * Log4cxx is configured to use HTMLLayout. * Logger name comes from an untrusted string * Logger with compromised name logs a message * User opens the generated HTML log file in their browser, leading to potential XSS Because logger names are generally constant strings, we assess the impact to users as LOW This issue affects Apache Log4cxx: before 1.5.0. Users are recommended to upgrade to version 1.5.0, which fixes the issue. | |||||
| CVE-2025-54656 | 1 Apache | 1 Struts Extras | 2026-06-17 | N/A | 6.5 MEDIUM |
| ** UNSUPPORTED WHEN ASSIGNED ** Improper Output Neutralization for Logs vulnerability in Apache Struts. This issue affects Apache Struts Extras: before 2. When using LookupDispatchAction, in some cases, Struts may print untrusted input to the logs without any filtering. Specially-crafted input may lead to log output where part of the message masquerades as a separate log line, confusing consumers of the logs (either human or automated). As this project is retired, we do not plan to release a version that fixes this issue. Users are recommended to find an alternative or restrict access to the instance to trusted users. NOTE: This vulnerability only affects products that are no longer supported by the maintainer. | |||||
| CVE-2025-54472 | 1 Apache | 1 Brpc | 2026-06-17 | N/A | 7.5 HIGH |
| Unlimited memory allocation in redis protocol parser in Apache bRPC (all versions < 1.14.1) on all platforms allows attackers to crash the service via network. Root Cause: In the bRPC Redis protocol parser code, memory for arrays or strings of corresponding sizes is allocated based on the integers read from the network. If the integer read from the network is too large, it may cause a bad alloc error and lead to the program crashing. Attackers can exploit this feature by sending special data packets to the bRPC service to carry out a denial-of-service attack on it. The bRPC 1.14.0 version tried to fix this issue by limited the memory allocation size, however, the limitation checking code is not well implemented that may cause integer overflow and evade such limitation. So the 1.14.0 version is also vulnerable, although the integer range that affect version 1.14.0 is different from that affect version < 1.14.0. Affected scenarios: Using bRPC as a Redis server to provide network services to untrusted clients, or using bRPC as a Redis client to call untrusted Redis services. How to Fix: we provide two methods, you can choose one of them: 1. Upgrade bRPC to version 1.14.1. 2. Apply this patch ( https://github.com/apache/brpc/pull/3050 ) manually. No matter you choose which method, you should note that the patch limits the maximum length of memory allocated for each time in the bRPC Redis parser. The default limit is 64M. If some of you redis request or response have a size larger than 64M, you might encounter error after upgrade. For such case, you can modify the gflag redis_max_allocation_size to set a larger limit. | |||||
| CVE-2025-54466 | 1 Apache | 1 Ofbiz | 2026-06-17 | N/A | 9.8 CRITICAL |
| Improper Control of Generation of Code ('Code Injection') vulnerability leading to a possible RCE in Apache OFBiz scrum plugin. This issue affects Apache OFBiz: before 24.09.02 only when the scrum plugin is used. Even unauthenticated attackers can exploit this vulnerability. Users are recommended to upgrade to version 24.09.02, which fixes the issue. | |||||
| CVE-2025-54090 | 1 Apache | 1 Http Server | 2026-06-17 | N/A | 6.3 MEDIUM |
| A bug in Apache HTTP Server 2.4.64 results in all "RewriteCond expr ..." tests evaluating as "true". Users are recommended to upgrade to version 2.4.65, which fixes the issue. | |||||
| CVE-2025-53689 | 1 Apache | 1 Jackrabbit | 2026-06-17 | N/A | 8.8 HIGH |
| Blind XXE Vulnerabilities in jackrabbit-spi-commons and jackrabbit-core in Apache Jackrabbit < 2.23.2 due to usage of an unsecured document build to load privileges. Users are recommended to upgrade to versions 2.20.17 (Java 8), 2.22.1 (Java 11) or 2.23.2 (Java 11, beta versions), which fix this issue. Earlier versions (up to 2.20.16) are not supported anymore, thus users should update to the respective supported version. | |||||
| CVE-2025-53606 | 1 Apache | 1 Seata | 2026-06-17 | N/A | 9.8 CRITICAL |
| Deserialization of Untrusted Data vulnerability in Apache Seata (incubating). This issue affects Apache Seata (incubating): 2.4.0. Users are recommended to upgrade to version 2.5.0, which fixes the issue. | |||||
| CVE-2025-53506 | 1 Apache | 1 Tomcat | 2026-06-17 | N/A | 7.5 HIGH |
| Uncontrolled Resource Consumption vulnerability in Apache Tomcat if an HTTP/2 client did not acknowledge the initial settings frame that reduces the maximum permitted concurrent streams. This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.8, from 10.1.0-M1 through 10.1.42, from 9.0.0.M1 through 9.0.106. The following versions were EOL at the time the CVE was created but are known to be affected: 8.5.0 through 8.5.100. Other EOL versions may also be affected. Users are recommended to upgrade to version 11.0.9, 10.1.43 or 9.0.107, which fix the issue. | |||||