| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Exposure of Private Personal Information to an Unauthorized Actor vulnerability in Apache Answer.
This issue affects Apache Answer: through 1.7.1.
An unauthenticated API endpoint incorrectly exposes full revision history for deleted content. This allows unauthorized user to retrieve restricted or sensitive information.
Users are recommended to upgrade to version 2.0.0, which fixes the issue. |
| Apache Airflow versions 3.1.0 through 3.1.6 contain an authorization flaw that can allow an authenticated user with custom permissions limited to task access to view task logs without having task log access.
Users are recommended to upgrade to Apache Airflow 3.1.7 or later, which resolves this issue. |
| Observable Timing Discrepancy vulnerability in Apache Shiro.
This issue affects Apache Shiro: from 1.*, 2.* before 2.0.7.
Users are recommended to upgrade to version 2.0.7 or later, which fixes the issue.
Prior to Shiro 2.0.7, code paths for non-existent vs. existing users are different enough,
that a brute-force attack may be able to tell, by timing the requests only, determine if
the request failed because of a non-existent user vs. wrong password.
The most likely attack vector is a local attack only.
Shiro security model https://shiro.apache.org/security-model.html#username_enumeration discusses this as well.
Typically, brute force attack can be mitigated at the infrastructure level. |
| Improper Neutralization of Data within XPath Expressions ('XPath Injection') vulnerability in Apache HertzBeat.
This issue affects Apache HertzBeat: from 1.7.1 before 1.8.0.
Users are recommended to upgrade to version 1.8.0, which fixes the issue. |
| Apache NiFi 1.1.0 through 2.7.2 are missing authorization when updating configuration properties on extension components that have specific Required Permissions based on the Restricted annotation. The Restricted annotation indicates additional privileges required to add the annotated component to the flow configuration, but framework authorization did not check restricted status when updating a component previously added. The missing authorization requires a more privileged user to add a restricted component to the flow configuration, but permits a less privileged user to make property configuration changes. Apache NiFi installations that do not implement different levels of authorization for Restricted components are not subject to this vulnerability because the framework enforces write permissions as the security boundary. Upgrading to Apache NiFi 2.8.0 is the recommended mitigation. |
| Use After Free vulnerability in Apache Arrow C++.
This issue affects Apache Arrow C++ from 15.0.0 through 23.0.0. It can be triggered when reading an Arrow IPC file (but not an IPC stream) with pre-buffering enabled, if the IPC file contains data with variadic buffers (such as Binary View and String View data). Depending on the number of variadic buffers in a record batch column and on the temporal sequence of multi-threaded IO, a write to a dangling pointer could occur. The value (a `std::shared_ptr<Buffer>` object) that is written to the dangling pointer is not under direct control of the attacker.
Pre-buffering is disabled by default but can be enabled using a specific C++ API call (`RecordBatchFileReader::PreBufferMetadata`). The functionality is not exposed in language bindings (Python, Ruby, C GLib), so these bindings are not vulnerable.
The most likely consequence of this issue would be random crashes or memory corruption when reading specific kinds of IPC files. If the application allows ingesting IPC files from untrusted sources, this could plausibly be exploited for denial of service. Inducing more targeted kinds of misbehavior (such as confidential data extraction from the running process) depends on memory allocation and multi-threaded IO temporal patterns that are unlikely to be easily controlled by an attacker.
Advice for users of Arrow C++:
1. check whether you enable pre-buffering on the IPC file reader (using `RecordBatchFileReader::PreBufferMetadata`)
2. if so, either disable pre-buffering (which may have adverse performance consequences), or switch to Arrow 23.0.1 which is not vulnerable |
| Before Airflow 3.2.0, it was unclear that secure Airflow deployments require the Deployment Manager to take appropriate actions and pay attention to security details and security model of Airflow. Some assumptions the Deployment Manager could make were not clear or explicit enough, even though Airflow's intentions and security model of Airflow did not suggest different assumptions. The overall security model [1], workload isolation [2], and JWT authentication details [3] are now described in more detail. Users concerned with role isolation and following the Airflow security model of Airflow are advised to upgrade to Airflow 3.2, where several security improvements have been implemented. They should also read and follow the relevant documents to make sure that their deployment is secure enough. It also clarifies that the Deployment Manager is ultimately responsible for securing your Airflow deployment. This had also been communicated via Airflow 3.2.0 Blog announcement [4].
[1] Security Model: https://airflow.apache.org/docs/apache-airflow/stable/security/jwt_token_authentication.html
[2] Workload isolation: https://airflow.apache.org/docs/apache-airflow/stable/security/workload.html
[3] JWT Token authentication: https://airflow.apache.org/docs/apache-airflow/stable/security/jwt_token_authentication.html
[4] Airflow 3.2.0 Blog announcement: https://airflow.apache.org/blog/airflow-3.2.0/
Users are recommended to upgrade to version 3.2.0, which fixes this issue. |
| Dag Authors, who normally should not be able to execute code in the webserver context could craft XCom payload causing the webserver to execute arbitrary code. Since Dag Authors are already highly trusted, severity of this issue is Low.
Users are recommended to upgrade to Apache Airflow 3.2.0, which resolves this issue. |
| Header injection vulnerability in Apache APISIX.
The attacker can take advantage of certain configuration in forward-auth plugin to inject malicious headers.
This issue affects Apache APISIX: from 2.12.0 through 3.15.0.
Users are recommended to upgrade to version 3.16.0, which fixes the issue. |
| Cleartext Transmission of Sensitive Information vulnerability in Apache APISIX.
This can occur due to `ssl_verify` in openid-connect plugin configuration being set to false by default.
This issue affects Apache APISIX: from 0.7 through 3.15.0.
Users are recommended to upgrade to version 3.16.0, which fixes the issue. |
| Cleartext Transmission of Sensitive Information vulnerability in Apache APISIX.
tencent-cloud-cls log export uses plaintext HTTP
This issue affects Apache APISIX: from 2.99.0 through 3.15.0.
Users are recommended to upgrade to version 3.16.0, which fixes the issue. |
| The `access_key` and `connection_string` connection properties were not marked as sensitive names in secrets masker. This means that user with read permission could see the values in Connection UI, as well as when Connection was accidentaly logged to logs, those values could be seen in the logs. Azure Service Bus used those properties to store sensitive values. Possibly other providers could be also affected if they used the same fields to store sensitive data.
If you used Azure Service Bus connection with those values set or if you have other connections with those values storing sensitve values, you should upgrade Airflow to 3.1.8 |
| An Improper Input Validation vulnerability exists in Apache Superset that allows an authenticated user with SQLLab access to bypass the read-only verification check when using a PostgreSQL database connection.
While the system effectively blocks standard Data Manipulation Language (DML) statements (e.g., INSERT, UPDATE, DELETE) on read-only connections, it fails to detect them in specially crafted SQL statements.
This issue affects Apache Superset: before 6.0.0.
Users are recommended to upgrade to version 6.0.0, which fixes the issue. |
| A Sensitive Data Exposure vulnerability exists in Apache Superset allowing authenticated users to retrieve sensitive user information. The Tag endpoint (disabled by default) allows users to retrieve a list of objects associated with a specific tag.
When these associated objects include Users, the API response improperly serializes and returns sensitive fields, including password hashes (pbkdf2), email addresses, and login statistics. This vulnerability allows authenticated users with low privileges (e.g., Gamma role) to view sensitive authentication data
This issue affects Apache Superset: before 6.0.0.
Users are recommended to upgrade to version 6.0.0, which fixes the issue or make sure TAGGING_SYSTEM is False (Apache Superset current default) |
| An Improper Authorization vulnerability exists in Apache Superset that allows a low-privileged user to bypass data access controls. When creating a dataset, Superset enforces permission checks to prevent users from querying unauthorized data. However, an authenticated attacker with permissions to write datasets and read charts can bypass these checks by overwriting the SQL query of an existing dataset.
This issue affects Apache Superset: before 6.0.0.
Users are recommended to upgrade to version 6.0.0, which fixes the issue. |
| Apache Superset utilizes a configurable dictionary, DISALLOWED_SQL_FUNCTIONS, to restrict the execution of potentially sensitive SQL functions within SQL Lab and charts. While this feature included restrictions for engines like PostgreSQL, a vulnerability was reported where the default list for the ClickHouse engine was incomplete.
This issue affects Apache Superset: before 4.1.2.
Users are recommended to upgrade to version 4.1.2, which fixes the issue. |
| 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 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. |
| 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 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-2023-48796 |
| Hostname verification in Apache ZooKeeper ZKTrustManager falls back to reverse DNS (PTR) when IP SAN validation fails, allowing attackers who control or spoof PTR records to impersonate ZooKeeper servers or clients with a valid certificate for the PTR name. It's important to note that attacker must present a certificate which is trusted by ZKTrustManager which makes the attack vector harder to exploit. Users are recommended to upgrade to version 3.8.6 or 3.9.5, which fixes this issue by introducing a new configuration option to disable reverse DNS lookup in client and quorum protocols. |
| Improper handling of configuration values in ZKConfig in Apache ZooKeeper 3.8.5 and 3.9.4 on all platforms allows an attacker to expose sensitive information stored in client configuration in the client's logfile. Configuration values are exposed at INFO level logging rendering potential production systems affected by the issue. Users are recommended to upgrade to version 3.8.6 or 3.9.5 which fixes this issue. |
