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4773 advisories across 32 monitored vendors.
An improper restriction of communication channel to intended endpoints vulnerability has been reported to affect QHora. If an attacker gains physical access, they can then exploit the vulnerability to gain the privileges that were intended for the original endpoint. We have already fixed the vulnerability in the following version: QuRouter 2.6.3.009 and later Affected product named by the advisory: QuRouter 2.6.x.
Spring Boot applications with Actuator can be vulnerable to an "Authentication Bypass" vulnerability when an application endpoint that requires authentication is declared under the path used by the CloudFoundry Actuator endpoints. This issue affects Spring Security: from 4.0.0 through 4.0.3, from 3.5.0 through 3.5.11, from 3.4.0 through 3.4.14, from 3.3.0 through 3.3.17, from 2.7.0 through 2.7.31.
Multiple NetApp products incorporate PCRE2. PCRE2 versions prior to 10.41 are susceptible to a vulnerability which when successfully exploited could lead to Denial of Service (DoS). Successful exploitation of this vulnerability could lead to Denial of Service (DoS). Affected products: ONTAP tools for VMware vSphere 10. NetApp reports that one or more additional products remain under investigation; review the canonical advisory for current status. NetApp states there is no workaround available at this time.
A cross-site scripting (XSS) vulnerability has been reported to affect QuFTP Service. If a remote attacker gains an administrator account, they can then exploit the vulnerability to bypass security mechanisms or read application data. We have already fixed the vulnerability in the following versions: QuFTP Service 1.4.3 and later QuFTP Service 1.5.2 and later QuFTP Service 1.6.2 and later Affected products named by the advisory: QuFTP Service 1.4.x; QuFTP Service 1.5.x; QuFTP Service 1.6.x.
Use of Java scripting engine enabled (e.g. JRuby, Jython) template views in Spring MVC and Spring WebFlux applications can result in disclosure of content from files outside the configured locations for script template views. This issue affects Spring Framework: from 7.0.0 through 7.0.5, from 6.2.0 through 6.2.16, from 6.1.0 through 6.1.25, from 5.3.0 through 5.3.46.
A buffer overflow vulnerability has been reported to affect Media Streaming Add-On. The remote attackers can then exploit the vulnerability to modify memory or crash processes. We have already fixed the vulnerability in the following version: Media Streaming Add-on 500.1.1 and later Affected product named by the advisory: Media Streaming Add-on 500.1.x.
Spring MVC and WebFlux applications are vulnerable to stream corruption when using Server-Sent Events (SSE). This issue affects Spring Foundation: from 7.0.0 through 7.0.5, from 6.2.0 through 6.2.16, from 6.1.0 through 6.1.25, from 5.3.0 through 5.3.46.
When applications specify HTTP response headers for servlet applications using Spring Security, there is the possibility that the HTTP Headers will not be written. This issue affects Spring Security Servlet applications using lazy (default) writing of HTTP Headers: : from 5.7.0 through 5.7.21, from 5.8.0 through 5.8.23, from 6.3.0 through 6.3.14, from 6.4.0 through 6.4.14, from 6.5.0 through 6.5.8, from 7.0.0 through 7.0.3.
Spring Boot applications with Actuator can be vulnerable to an "Authentication Bypass" vulnerability when an application endpoint that requires authentication is declared under a specific path, already configured for a Health Group additional path. This issue affects Spring Boot: from 4.0 before 4.0.3, from 3.5 before 3.5.11, from 3.4 before 3.4.15. This CVE is similar but not equivalent to CVE-2026-22733, as the conditions for exploit and vulnerable versions are different.
A critical SQL injection vulnerability in Spring AI's MariaDBFilterExpressionConverter allows attackers to bypass metadata-based access controls and execute arbitrary SQL commands. The vulnerability exists due to missing input sanitization.
A JSONPath injection vulnerability in Spring AI's AbstractFilterExpressionConverter allows authenticated users to bypass metadata-based access controls through crafted filter expressions. User-controlled input passed to FilterExpressionBuilder is concatenated into JSONPath queries without proper escaping, enabling attackers to inject arbitrary JSONPath logic and access unauthorized documents. This vulnerability affects applications using vector stores that extend AbstractFilterExpressionConverter for multi-tenant isolation, role-based access control, or document filtering based on metadata. The vulnerability occurs when user-supplied values in filter expressions are not escaped before being inserted into JSONPath queries. Special characters like ", ||, and && are passed through unescaped, allowing injection of arbitrary JSONPath logic that can alter the intended query semantics.
Unprotected internal endpoints in Cloud Foundry Capi Release 1.226.0 and below, and CF Deployment v54.9.0 and below on all platforms allows any user who has bypassed the firewall to potentially replace droplets and therefore applications allowing them to access secure application information.
This High severity RCE (Remote Code Execution) vulnerability was introduced in versions 9.6.0, 10.0.0, 10.1.0, 10.2.0, 11.0.0, 11.1.0, 12.0.0, and 12.1.0 of Bamboo Data Center. This RCE (Remote Code Execution) vulnerability, with a CVSS Score of 8.6, allows an authenticated attacker to execute malicious code on the remote system. Atlassian recommends that Bamboo Data Center customers upgrade to latest version, if you are unable to do so, upgrade your instance to one of the specified supported fixed versions: Bamboo Data Center 9.6: Upgrade to a release greater than or equal to 9.6.24 Bamboo Data Center 10.2: Upgrade to a release greater than or equal to 10.2.16 Bamboo Data Center 12.1: Upgrade to a release greater than or equal to 12.1.3 See the release notes ([https://confluence.atlassian.com/bambooreleases/bamboo-release-notes-1189793869.html]). You can download the latest version of Bamboo Data Center from the download center ([https://www.atlassian.com/software/bamboo/download-archives]). This vulnerability was reported via our Atlassian (Internal) program.
Apache Airflow versions 3.1.0 through 3.1.7 missing authorization vulnerability in the Execution API's Human-in-the-Loop (HITL) endpoints that allows any authenticated task instance to read, approve, or reject HITL workflows belonging to any other task instance. Users are recommended to upgrade to Apache Airflow 3.1.8 or later, which resolves this issue.
Apache Airflow versions 3.1.0 through 3.1.7 session token (_token) in cookies is set to path=/ regardless of the configured [webserver] base_url or [api] base_url. This allows any application co-hosted under the same domain to capture valid Airflow session tokens from HTTP request headers, allowing full session takeover without attacking Airflow itself. Users are recommended to upgrade to Apache Airflow 3.1.8 or later, which resolves this issue.
Apache Airflow versions 3.1.0 through 3.1.7 /ui/dependencies endpoint returns the full DAG dependency graph without filtering by authorized DAG IDs. This allows an authenticated user with only DAG Dependencies permission to enumerate DAGs they are not authorized to view. Users are recommended to upgrade to Apache Airflow 3.1.8 or later, which resolves this issue.
Apache Airflow versions 3.0.0 through 3.1.7 FastAPI DagVersion listing API does not apply per-DAG authorization filtering when the request is made with dag_id set to "~" (wildcard for all DAGs). As a result, version metadata of DAGs that the requester is not authorized to access is returned. Users are recommended to upgrade to Apache Airflow 3.1.8 or later, which resolves this issue.
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.
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') vulnerability in Apache Livy. This issue affects Apache Livy: from 0.3.0 before 0.9.0. The vulnerability can only be exploited with non-default Apache Livy Server settings. If the configuration value "livy.file.local-dir-whitelist" is set to a non-default value, the directory checking can be bypassed. Users are recommended to upgrade to version 0.9.0, which fixes the issue.
Malicious configuration can lead to unauthorized file access in Apache Livy. This issue affects Apache Livy 0.7.0 and 0.8.0 when connecting to Apache Spark 3.1 or later. A request that includes a Spark configuration value supported from Apache Spark version 3.1 can lead to users gaining access to files they do not have permissions to. For the vulnerability to be exploitable, the user needs to have access to Apache Livy's REST or JDBC interface and be able to send requests with arbitrary Spark configuration values. Users are recommended to upgrade to version 0.9.0 or later, which fixes the issue.