Since version 5.2.0, when using deferrable mode with the path of a Kubernetes configuration file for authentication, the Airflow worker serializes this configuration file as a dictionary and sends it to the triggerer by storing it in metadata without any encryption. Additionally, if used with an Airflow version between 2.3.0 and 2.6.0, the configuration dictionary will be logged as plain text in the triggerer service without masking. This allows anyone with access to the metadata or triggerer log to obtain the configuration file and use it to access the Kubernetes cluster. This behavior was changed in version 7.0.0, which stopped serializing the file contents and started providing the file path instead to read the contents into the trigger. Users are recommended to upgrade to version 7.0.0, which fixes this issue.

Exposure of Sensitive Information to an Unauthorized Actor vulnerability in Apache Solr. The Solr Metrics API publishes all unprotected environment variables available to each Apache Solr instance. Users are able to specify which environment variables to hide, however, the default list is designed to work for known secret Java system properties. Environment variables cannot be strictly defined in Solr, like Java system properties can be, and may be set for the entire host, unlike Java system properties which are set per-Java-proccess. The Solr Metrics API is protected by the "metrics-read" permission. Therefore, Solr Clouds with Authorization setup will only be vulnerable via users with the "metrics-read" permission. This issue affects Apache Solr: from 9.0.0 before 9.3.0. Users are recommended to upgrade to version 9.3.0 or later, in which environment variables are not published via the Metrics API.

Apache Airflow, versions before 2.8.1, have a vulnerability that allows an authenticated user to access the source code of a DAG to which they don't have access. This vulnerability is considered low since it requires an authenticated user to exploit it. Users are recommended to upgrade to version 2.8.1, which fixes this issue.

All versions of Apache Santuario - XML Security for Java prior to 2.2.6, 2.3.4, and 3.0.3, when using the JSR 105 API, are vulnerable to an issue where a private key may be disclosed in log files when generating an XML Signature and logging with debug level is enabled. Users are recommended to upgrade to version 2.2.6, 2.3.4, or 3.0.3, which fixes this issue.

Insufficient Verification of Data Authenticity vulnerability in Apache InLong.This issue affects Apache InLong: from 1.4.0 through 1.8.0,  General user can view all user data like Admin account. Users are advised to upgrade to Apache InLong's 1.9.0 or cherry-pick [1] to solve it. [1]  https://github.com/apache/inlong/pull/8623

Apache Airflow, versions before 2.7.3, has a vulnerability that allows an authorized user who has access to read specific DAGs only, to read information about task instances in other DAGs.  This is a different issue than CVE-2023-42663 but leading to similar outcome. Users of Apache Airflow are advised to upgrade to version 2.7.3 or newer to mitigate the risk associated with this vulnerability.

In Apache Linkis =1.4.0, due to the lack of effective filtering of parameters, an attacker configuring malicious Mysql JDBC parameters in the DataSource Manager Module will trigger arbitrary file reading. Therefore, the parameters in the Mysql JDBC URL should be blacklisted. This attack requires the attacker to obtain an authorized account from Linkis before it can be carried out. Versions of Apache Linkis = 1.4.0 will be affected.  We recommend users upgrade the version of Linkis to version 1.5.0.

Apache Airflow, versions before 2.7.2, has a vulnerability that allows an authorized user who has access to read specific DAGs only, to read information about task instances in other DAGs. Users of Apache Airflow are advised to upgrade to version 2.7.2 or newer to mitigate the risk associated with this vulnerability.

Apache Airflow, versions before 2.7.1, is affected by a vulnerability that allows authenticated users who have access to see the task/dag in the UI, to craft a URL, which could lead to unmasking the secret configuration of the task that otherwise would be masked in the UI. Users are strongly advised to upgrade to version 2.7.1 or later which has removed the vulnerability.

Incorrect Authorization vulnerability in Apache Software Foundation Apache Pulsar Function Worker. This issue affects Apache Pulsar: before 2.10.4, and 2.11.0. Any authenticated user can retrieve a source's configuration or a sink's configuration without authorization. Many sources and sinks contain credentials in the configuration, which could lead to leaked credentials. This vulnerability is mitigated by the fact that there is not a known way for an authenticated user to enumerate another tenant's sources or sinks, meaning the source or sink name would need to be guessed in order to exploit this vulnerability. The recommended mitigation for impacted users is to upgrade the Pulsar Function Worker to a patched version. 2.10 Pulsar Function Worker users should upgrade to at least 2.10.4. 2.11 Pulsar Function Worker users should upgrade to at least 2.11.1. 3.0 Pulsar Function Worker users are unaffected. Any users running the Pulsar Function Worker for 2.9.* and earlier should upgrade to one of the above patched versions.

Apache Airflow, versions before 2.6.3, is affected by a vulnerability that allows unauthorized read access to a DAG through the URL. It is recommended to upgrade to a version that is not affected

Server-Side Request Forgery (SSRF) vulnerability in Apache HertzBeat. This issue affects Apache HertzBeat (incubating): before 1.7.0. Users are recommended to upgrade to version 1.7.0, which fixes the issue.

An authenticated user with specific data permissions could access database connections stored passwords by requesting a specific REST API. This issue affects Apache Superset version 1.3.0 up to 2.0.1.

There are issues with the AGE drivers for Golang and Python that enable SQL injections to occur. This impacts AGE for PostgreSQL 11 & AGE for PostgreSQL 12, all versions up-to-and-including 1.1.0, when using those drivers. The fix is to update to the latest Golang and Python drivers in addition to the latest version of AGE that is used for PostgreSQL 11 or  PostgreSQL 12. The update of AGE will add a new function to enable parameterization of the cypher() function, which, in conjunction with the driver updates, will resolve this issue. Background (for those who want more information): After thoroughly researching this issue, we found that due to the nature of the cypher() function, it was not easy to parameterize the values passed into it. This enabled SQL injections, if the developer of the driver wasn't careful. The developer of the Golang and Pyton drivers didn't fully utilize parameterization, likely because of this, thus enabling SQL injections. The obvious fix to this issue is to use parameterization in the drivers for all PG SQL queries. However, parameterizing all PG queries is complicated by the fact that the cypher() function call itself cannot be parameterized directly, as it isn't a real function. At least, not the parameters that would take the graph name and cypher query. The reason the cypher() function cannot have those values parameterized is because the function is a placeholder and never actually runs. The cypher() function node, created by PG in the query tree, is transformed and replaced with a query tree for the actual cypher query during the analyze phase. The problem is that parameters - that would be passed in and that the cypher() function transform needs to be resolved - are only resolved in the execution phase, which is much later. Since the transform of the cypher() function needs to know the graph name and cypher query prior to execution, they can't be passed as parameters. The fix that we are testing right now, and are proposing to use, is to create a function that will be called prior to the execution of the cypher() function transform. This new function will allow values to be passed as parameters for the graph name and cypher query. As this command will be executed prior to the cypher() function transform, its values will be resolved. These values can then be cached for the immediately following cypher() function transform to use. As added features, the cached values will store the calling session's pid, for validation. And, the cypher() function transform will clear this cached information after function invocation, regardless of whether it was used. This method will allow the parameterizing of the cypher() function indirectly and provide a way to lock out SQL injection attacks.

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Apache Cocoon.This issue affects Apache Cocoon: from 2.2.0 before 2.3.0. Users are recommended to upgrade to version 2.3.0, which fixes the issue.

SQL injection vulnerability in the policy admin tool in Apache Ranger before 0.5.3 allows remote authenticated administrators to execute arbitrary SQL commands via the eventTime parameter to service/plugins/policies/eventTime.

A vulnerability in the SQL Alchemy connector of Apache Superset allows an authenticated user with read access to a specific database to add subqueries to the WHERE and HAVING fields referencing tables on the same database that the user should not have access to, despite the user having the feature flag "ALLOW_ADHOC_SUBQUERY" disabled (default value). This issue affects Apache Superset version 1.5.2 and prior versions and version 2.0.0.

In Apache Fineract versions 1.0.0, 0.6.0-incubating, 0.5.0-incubating, 0.4.0-incubating, the system exposes different REST end points to query domain specific entities with a Query Parameter 'orderBy' and 'sortOrder' which are appended directly with SQL statements. A hacker/user can inject/draft the 'orderBy' and 'sortOrder' query parameter in such a way to read/update the data for which he doesn't have authorization.

This vulnerability in Apache Hive JDBC driver 0.7.1 to 2.3.2 allows carefully crafted arguments to be used to bypass the argument escaping/cleanup that JDBC driver does in PreparedStatement implementation.

Within the 'getReportType' method in Apache Fineract 1.0.0, 0.6.0-incubating, 0.5.0-incubating, 0.4.0-incubating, a hacker could inject SQL to read/update data for which he doesn't have authorization for by way of the 'reportName' parameter.

SQL injection vulnerability in Apache Fineract before 1.3.0 allows attackers to execute arbitrary SQL commands via a query on the GroupSummaryCounts related table.

Apache VCL versions 2.1 through 2.5 do not properly validate form input when adding and removing VMs to and from hosts. The form data is then used in SQL statements. This allows for an SQL injection attack. Access to this portion of a VCL system requires admin level rights. Other layers of security seem to protect against malicious attack. However, all VCL systems running versions earlier than 2.5.1 should be upgraded or patched. This vulnerability was found and reported to the Apache VCL project by ADLab of Venustech.

Apache OpenMeetings 1.0.0 is vulnerable to SQL injection. This allows authenticated users to modify the structure of the existing query and leak the structure of other queries being made by the application in the back-end.

In Apache Fineract 0.4.0-incubating, 0.5.0-incubating, and 0.6.0-incubating, an authenticated user with client/loan/center/staff/group read permissions is able to inject malicious SQL into SELECT queries. The 'sqlSearch' parameter on a number of endpoints is not sanitized and appended directly to the query.

SQL injection vulnerability in mysql/mysql-auth.pl in the mod_authnz_external module 3.2.5 and earlier for the Apache HTTP Server allows remote attackers to execute arbitrary SQL commands via the user field.

SQL injection vulnerability in mod_auth_mysql.c in the mod-auth-mysql (aka libapache2-mod-auth-mysql) module for the Apache HTTP Server 2.x, when configured to use a multibyte character set that allows a \ (backslash) as part of the character encoding, allows remote attackers to execute arbitrary SQL commands via unspecified inputs in a login request.

By design, the JDBCAppender in Log4j 1.2.x accepts an SQL statement as a configuration parameter where the values to be inserted are converters from PatternLayout. The message converter, %m, is likely to always be included. This allows attackers to manipulate the SQL by entering crafted strings into input fields or headers of an application that are logged allowing unintended SQL queries to be executed. Note this issue only affects Log4j 1.x when specifically configured to use the JDBCAppender, which is not the default. Beginning in version 2.0-beta8, the JDBCAppender was re-introduced with proper support for parameterized SQL queries and further customization over the columns written to in logs. Apache Log4j 1.2 reached end of life in August 2015. Users should upgrade to Log4j 2 as it addresses numerous other issues from the previous versions.

Multiple SQL injection vulnerabilities in the User Manager service in Apache Jetspeed before 2.3.1 allow remote attackers to execute arbitrary SQL commands via the (1) role or (2) user parameter to services/usermanager/users/.

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Apache Superset. Specifically, certain engine-specific functions are not checked, which allows attackers to bypass Apache Superset's SQL authorization. This issue is a follow-up to CVE-2024-39887 with additional disallowed PostgreSQL functions now included: query_to_xml_and_xmlschema, table_to_xml, table_to_xml_and_xmlschema. This issue affects Apache Superset: <4.1.0. Users are recommended to upgrade to version 4.1.0, which fixes the issue or add these Postgres functions to the config set DISALLOWED_SQL_FUNCTIONS.

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Apache VCL. Users can modify form data submitted when requesting a new Block Allocation such that a SELECT SQL statement is modified. The data returned by the SELECT statement is not viewable by the attacker. This issue affects all versions of Apache VCL from 2.2 through 2.5.1. Users are recommended to upgrade to version 2.5.2, which fixes the issue.

Apache Flink CDC version 3.4.0 was vulnerable to a SQL injection via maliciously crafted identifiers eg. crafted database name or crafted table name. Even through only the logged-in database user can trigger the attack, we recommend users update Flink CDC version to 3.5.0 which address this issue.

Apache VCL versions 2.1 through 2.5 do not properly validate cookie input when determining what node (if any) was previously selected in the privilege tree. The cookie data is then used in an SQL statement. This allows for an SQL injection attack. Access to this portion of a VCL system requires admin level rights. Other layers of security seem to protect against malicious attack. However, all VCL systems running versions earlier than 2.5.1 should be upgraded or patched. This vulnerability was found and reported to the Apache VCL project by ADLab of Venustech.

An SQL injection vulnerability in Traffic Ops in Apache Traffic Control <= 8.0.1, >= 8.0.0 allows a privileged user with role "admin", "federation", "operations", "portal", or "steering" to execute arbitrary SQL against the database by sending a specially-crafted PUT request. Users are recommended to upgrade to version Apache Traffic Control 8.0.2 if you run an affected version of Traffic Ops.

Hertzbeat is an open source, real-time monitoring system. Hertzbeat 1.6.0 and earlier declares a /api/monitor/{monitorId}/metric/{metricFull} endpoint to download job metrics. In the process, it executes a SQL query with user-controlled data, allowing for SQL injection.

An SQL Injection vulnerability in Apache Superset exists due to improper neutralization of special elements used in SQL commands. Specifically, certain engine-specific functions are not checked, which allows attackers to bypass Apache Superset's SQL authorization. To mitigate this, a new configuration key named DISALLOWED_SQL_FUNCTIONS has been introduced. This key disallows the use of the following PostgreSQL functions: version, query_to_xml, inet_server_addr, and inet_client_addr. Additional functions can be added to this list for increased protection. This issue affects Apache Superset: before 4.0.2. Users are recommended to upgrade to version 4.0.2, which fixes the issue.

** UNSUPPORTED WHEN ASSIGNED ** Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Apache Submarine Server Core. This issue affects Apache Submarine Server Core: all versions. 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.

Apache Superset up to and including 1.3.0 when configured with ENABLE_TEMPLATE_PROCESSING on (disabled by default) allowed SQL injection when a malicious authenticated user sends an http request with a custom URL.

Cypher Injection vulnerability in Apache Camel camel-neo4j component. This issue affects Apache Camel: from 4.10.0 before 4.10.8, from 4.14.0 before 4.14.3, from 4.15.0 before 4.17.0 Users are recommended to upgrade to version 4.10.8 for 4.10.x LTS and 4.14.3 for 4.14.x LTS and 4.17.0.

SQL Injection vulnerability in various API endpoints - offices, dashboards, etc. Apache Fineract versions 1.9 and before have a vulnerability that allows an authenticated attacker to inject malicious data into some of the REST API endpoints' query parameter.  Users are recommended to upgrade to version 1.10.1, which fixes this issue. A SQL Validator has been implemented which allows us to configure a series of tests and checks against our SQL queries that will allow us to validate and protect against nearly all potential SQL injection attacks.

SQL injection vulnerability in Hive Metastore Server (HMS) when processing delete column statistics requests via the Thrift APIs. The vulnerability is only exploitable by trusted/authorized users/applications that are allowed to call directly the Thrift APIs. In most real-world deployments, HMS is accessible to only a handful of applications (e.g., Hiveserver2) thus the vulnerability is not exploitable. Moreover, the vulnerable code cannot be reached when metastore.try.direct.sql property is set to false. This issue affects Apache Hive: from 4.1.0 before 4.2.0. Users are recommended to upgrade to version 4.2.0, which fixes the issue. Users who cannot upgrade directly are encouraged to set metastore.try.direct.sql property to false if the HMS Thrift APIs are exposed to general public.

In Apache DolphinScheduler before 1.3.6 versions, authorized users can use SQL injection in the data source center. (Only applicable to MySQL data source with internal login account password)

**Resolved** When use H2/MySQL/TiDB as Apache SkyWalking storage, the metadata query through GraphQL protocol, there is a SQL injection vulnerability, which allows to access unpexcted data. Apache SkyWalking 6.0.0 to 6.6.0, 7.0.0 H2/MySQL/TiDB storage implementations don't use the appropriate way to set SQL parameters.

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Apache Airflow Common SQL Provider. When using the partition clause in SQLTableCheckOperator as parameter (which was a recommended pattern), Authenticated UI User could inject arbitrary SQL command when triggering DAG exposing partition_clause to the user. This allowed the DAG Triggering user to escalate privileges to execute those arbitrary commands which they normally would not have. This issue affects Apache Airflow Common SQL Provider: before 1.24.1. Users are recommended to upgrade to version 1.24.1, which fixes the issue.

A guest user could exploit a chart data REST API and send arbitrary SQL statements that on error could leak information from the underlying analytics database.This issue affects Apache Superset: before 3.0.4, from 3.1.0 before 3.1.1. Users are recommended to upgrade to version 3.1.1 or 3.0.4, which fixes the issue.

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Apache Fineract.This issue affects Apache Fineract: <1.8.5. Users are recommended to upgrade to version 1.8.5 or 1.9.0, which fix the issue.

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Apache Fineract.This issue affects Apache Fineract: <1.8.5. Users are recommended to upgrade to version 1.8.5 or 1.9.0, which fix the issue.

Kylin has some restful apis which will concatenate SQLs with the user input string, a user is likely to be able to run malicious database queries.

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Apache Airflow MySQL Provider. When user triggered a DAG with dump_sql or load_sql functions they could pass a table parameter from a UI, that could cause SQL injection by running SQL that was not intended. It could lead to data corruption, modification and others. This issue affects Apache Airflow MySQL Provider: before 6.2.0. Users are recommended to upgrade to version 6.2.0, which fixes the issue.

**Resolved** Only when using H2/MySQL/TiDB as Apache SkyWalking storage, there is a SQL injection vulnerability in the wildcard query cases.

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Apache Software Foundation Apache Fineract. Authorized users may be able to change or add data in certain components.   This issue affects Apache Fineract: from 1.4 through 1.8.2.