This issue affects the
ExtractEmbeddedFiles example in Apache PDFBox: from 2.0.24 through 2.0.35, from 3.0.0 through 3.0.6.
The ExtractEmbeddedFiles example contains a path traversal vulnerability (CWE-22) because
th...Show moreThis issue affects the
ExtractEmbeddedFiles example in Apache PDFBox: from 2.0.24 through 2.0.35, from 3.0.0 through 3.0.6.
The ExtractEmbeddedFiles example contains a path traversal vulnerability (CWE-22) because
the filename that is obtained from
PDComplexFileSpecification.getFilename() is appended to the extraction path.
Users who have copied this example into their production code should
review it to ensure that the extraction path is acceptable. The example
has been changed accordingly, now the initial path and the extraction
paths are converted into canonical paths and it is verified that
extraction path contains the initial path. The documentation has also
been adjusted.Show less |
In AWS Auth manager, the origin of the SAML authentication has been used as provided by the client and not verified against the actual instance URL.
This allowed to gain access to different instances with potentially di...Show moreIn AWS Auth manager, the origin of the SAML authentication has been used as provided by the client and not verified against the actual instance URL.
This allowed to gain access to different instances with potentially different access controls by reusing SAML response from other instances.
You should upgrade to 9.22.0 version of provider if you use AWS Auth Manager.Show less |
A user with access to the DB could craft a database entry that would result in executing code on Triggerer - which gives anyone who have access to DB the same permissions as Dag Author. Since direct DB access is not usua...Show moreA user with access to the DB could craft a database entry that would result in executing code on Triggerer - which gives anyone who have access to DB the same permissions as Dag Author. Since direct DB access is not usual and recommended for Airflow, the likelihood of it making any damage is low.
You should upgrade to version 6.0.0 of the provider to avoid even that risk.Show less |
Improper Input Validation vulnerability in Apache IoTDB.
This issue affects Apache IoTDB: from 1.0.0 before 1.3.7, from 2.0.0 before 2.0.7.
Users are recommended to upgrade to version 1.3.7 or 2.0.7, which fixes the is...Show moreImproper Input Validation vulnerability in Apache IoTDB.
This issue affects Apache IoTDB: from 1.0.0 before 1.3.7, from 2.0.0 before 2.0.7.
Users are recommended to upgrade to version 1.3.7 or 2.0.7, which fixes the issue.Show less |
A vulnerability in Apache IoTDB.
This issue affects Apache IoTDB: from 1.0.0 before 1.3.7, from 2.0.0 before 2.0.7.
Users are recommended to upgrade to version 1.3.7 or 2.0.7, which fixes the issue. |
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. Config...Show moreImproper 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.Show less |
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...Show moreHostname 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.Show less |
Missing Authentication for Critical Function (CWE-306) vulnerability in Apache Artemis, Apache ActiveMQ Artemis. An unauthenticated remote attacker can use the Core protocol to force a target broker to establish an outbo...Show moreMissing Authentication for Critical Function (CWE-306) vulnerability in Apache Artemis, Apache ActiveMQ Artemis. An unauthenticated remote attacker can use the Core protocol to force a target broker to establish an outbound Core federation connection to an attacker-controlled rogue broker. This could potentially result in message injection into any queue and/or message exfiltration from any queue via the rogue broker. This impacts environments that allow both:
- incoming Core protocol connections from untrusted sources to the broker
- outgoing Core protocol connections from the broker to untrusted targets
This issue affects:
- Apache Artemis from 2.50.0 through 2.51.0
- Apache ActiveMQ Artemis from 2.11.0 through 2.44.0.
Users are recommended to upgrade to Apache Artemis version 2.52.0, which fixes the issue.
The issue can be mitigated by one of the following:
- Remove Core protocol support from any acceptor receiving connections from untrusted sources. Incoming Core protocol connections are supported by default via the "artemis" acceptor listening on port 61616. See the "protocols" URL parameter configured for the acceptor. An acceptor URL without this parameter supports all protocols by default, including Core.
- Use two-way SSL (i.e. certificate-based authentication) in order to force every client to present the proper SSL certificate when establishing a connection before any message protocol handshake is attempted. This will prevent unauthenticated exploitation of this vulnerability.
- Implement and deploy a Core interceptor to deny all Core downstream federation connect packets. Such packets have a type of (int) -16 or (byte) 0xfffffff0. Documentation for interceptors is available at https://artemis.apache.org/components/artemis/documentation/latest/intercepting-operations.html .Show less |
WARNING:
Users of 6.x should upgrade to 6.2.4 or later as the fix was missed in previous 6.x releases.
See the following for more details:
https://activemq.apache.org/security-advisories.data/CVE-2026-40046-announcem...Show moreWARNING:
Users of 6.x should upgrade to 6.2.4 or later as the fix was missed in previous 6.x releases.
See the following for more details:
https://activemq.apache.org/security-advisories.data/CVE-2026-40046-announcement.txt
https://www.cve.org/CVERecord?id=CVE-2026-40046
Original Report:
Apache ActiveMQ does not properly validate the remaining length field which may lead to an overflow during the decoding of malformed packets. When this integer overflow occurs, ActiveMQ may incorrectly compute the total Remaining Length and subsequently misinterpret the payload as multiple MQTT control packets which makes the broker susceptible to unexpected behavior when interacting with non-compliant clients. This behavior violates the MQTT v3.1.1 specification, which restricts Remaining Length to a maximum of 4 bytes. The scenario occurs on established connections after the authentication process. Brokers that are not enabling mqtt transport connectors are not impacted.
This issue affects Apache ActiveMQ: before 5.19.2, 6.0.0 to 6.1.8, and 6.2.0
Users are recommended to upgrade to version 5.19.2, 6.1.9, or 6.2.1, which fixes the issue.Show less |
Hostname verification bypass issue in Apache Ranger NiFiRegistryClient is reported in Apache Ranger versions <= 2.7.0.
Users are recommended to upgrade to version 2.8.0, which fixes this issue. |
Remote Code Execution Vulnerability in NashornScriptEngineCreator is reported in Apache Ranger versions <= 2.7.0.
Users are recommended to upgrade to version 2.8.0, which fixes this issue. |
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...Show moreAn 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.Show less |
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 ass...Show moreA 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)Show less |
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 query...Show moreAn 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.Show less |
Improper Neutralization of Special Elements used in a SQL Command ('SQL Injection') vulnerability in Apache Superset allows an authenticated user with read access to conduct error-based SQL injection via the sqlExpressio...Show moreImproper Neutralization of Special Elements used in a SQL Command ('SQL Injection') vulnerability in Apache Superset allows an authenticated user with read access to conduct error-based SQL injection via the sqlExpression or where parameters.
This issue affects Apache Superset: before 6.0.0.
Users are recommended to upgrade to version 6.0.0, which fixes the issue.Show less |
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 engin...Show moreApache 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.Show less |
Airflow versions before 2.11.1 have a vulnerability that allows authenticated users with audit log access to see sensitive values in audit logs which they should not see. When sensitive connection parameters were set via...Show moreAirflow versions before 2.11.1 have a vulnerability that allows authenticated users with audit log access to see sensitive values in audit logs which they should not see. When sensitive connection parameters were set via airflow CLI, values of those variables appeared in the audit log and were stored unencrypted in the Airflow database. While this risk is limited to users with audit log access, it is recommended to upgrade to Airflow 2.11.1 or a later version, which addresses this issue. Users who previously used the CLI to set connections should manually delete entries with those connection sensitive values from the log table. This is similar but not the same issue as CVE-2024-50378Show less |
DAG Author (who already has quite a lot of permissions) could manipulate database of Airflow 2 in the way to execute arbitrary code in the web-server context, which they should normally not be able to do, leading to pote...Show moreDAG Author (who already has quite a lot of permissions) could manipulate database of Airflow 2 in the way to execute arbitrary code in the web-server context, which they should normally not be able to do, leading to potentially remote code execution in the context of web-server (server-side) as a result of a user viewing historical task information.
The functionality responsible for that (log template history) has been disabled by default in 2.11.1 and users should upgrade to Airflow 3 if they want to continue to use log template history. They can also manually modify historical log file names if they want to see historical logs that were generated before the last log template change.Show less |
Deserialization of Untrusted Data vulnerability in Apache Camel LevelDB component.
The Camel-LevelDB DefaultLevelDBSerializer class deserializes data read from the LevelDB aggregation repository using java.io.ObjectInpu...Show moreDeserialization of Untrusted Data vulnerability in Apache Camel LevelDB component.
The Camel-LevelDB DefaultLevelDBSerializer class deserializes data read from the LevelDB aggregation repository using java.io.ObjectInputStream without applying any ObjectInputFilter or class-loading restrictions. An attacker who can write to the LevelDB database files used by a Camel application can inject a crafted serialized Java object that, when deserialized during normal aggregation repository operations, results in arbitrary code execution in the context of the application.
This issue affects Apache Camel: from 4.10.0 before 4.10.8, from 4.14.0 before 4.14.5, from 4.15.0 before 4.18.0.
Users are recommended to upgrade to version 4.18.0, which fixes the issue. For the 4.10.x LTS releases, users are recommended to upgrade to 4.10.9, while for 4.14.x LTS releases, users are recommended to upgrade to 4.14.5Show less |
Cross-Realm Token Acceptance Bypass in KeycloakSecurityPolicy Apache Camel Keycloak component.
The Camel-Keycloak KeycloakSecurityPolicy does not validate the iss (issuer) claim of JWT tokens against the configured rea...Show moreCross-Realm Token Acceptance Bypass in KeycloakSecurityPolicy Apache Camel Keycloak component.
The Camel-Keycloak KeycloakSecurityPolicy does not validate the iss (issuer) claim of JWT tokens against the configured realm. A token issued by one Keycloak realm is silently accepted by a policy configured for a completely different realm, breaking tenant isolation.
This issue affects Apache Camel: from 4.15.0 before 4.18.0.
Users are recommended to upgrade to version 4.18.0, which fixes the issue.Show less |