| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Deserialization of Untrusted Data vulnerability in Apache Camel CassandraQL Component AggregationRepository which is vulnerable to unsafe deserialization. Under specific conditions it is possible to deserialize malicious payload.This issue affects Apache Camel: from 3.0.0 before 3.21.4, from 3.22.0 before 3.22.1, from 4.0.0 before 4.0.4, from 4.1.0 before 4.4.0.
Users are recommended to upgrade to version 4.4.0, which fixes the issue. If users are on the 4.0.x LTS releases stream, then they are suggested to upgrade to 4.0.4. If users are on 3.x, they are suggested to move to 3.21.4 or 3.22.1
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| Deserialization of Untrusted Data vulnerability in Apache Camel SQL ComponentThis issue affects Apache Camel: from 3.0.0 before 3.21.4, from 3.22.0 before 3.22.1, from 4.0.0 before 4.0.4, from 4.1.0 before 4.4.0.
Users are recommended to upgrade to version 4.4.0, which fixes the issue. If users are on the 4.0.x LTS releases stream, then they are suggested to upgrade to 4.0.4. If users are on 3.x, they are suggested to move to 3.21.4 or 3.22.1
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| Deserialization of Untrusted Data vulnerability in Apache Seata (incubating).
This issue affects Apache Seata (incubating): from 2.0.0 before 2.2.0.
Users are recommended to upgrade to version 2.2.0, which fixes the issue. |
| Improper Neutralization of Special Elements used in a Command ('Command Injection') vulnerability in Apache Software Foundation Apache Airflow, Apache Software Foundation Apache Airflow MySQL Provider.This issue affects Apache Airflow: before 2.5.1; Apache Airflow MySQL Provider: before 4.0.0.
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| Deserialization of Untrusted Data vulnerability in Apache InLong.This issue affects Apache InLong: from 1.7.0 through 1.11.0,
the attackers can bypass using malicious parameters.
Users are advised to upgrade to Apache InLong's 1.12.0 or cherry-pick [1], [2] to solve it.
[1] https://github.com/apache/inlong/pull/9694
[2] https://github.com/apache/inlong/pull/9707 |
| Improper Authentication vulnerability in Apache Software Foundation Apache IoTDB.This issue affects iotdb-web-workbench component: from 0.13.0 before 0.13.3.
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| By default the CloudStack management server honours the x-forwarded-for HTTP header and logs it as the source IP of an API request. This could lead to authentication bypass and other operational problems should an attacker decide to spoof their IP address this way. Users are recommended to upgrade to CloudStack version 4.18.1.1 or 4.19.0.1, which fixes this issue.
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| Incorrect Authorization vulnerability in Apache Software Foundation Apache IoTDB.This issue affects the iotdb-web-workbench component from 0.13.0 before 0.13.3. iotdb-web-workbench is an optional component of IoTDB, providing a web console of the database.
This problem is fixed from version 0.13.3 of iotdb-web-workbench onwards.
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| Arbitrary File Read Vulnerability in Apache Dolphinscheduler.
This issue affects Apache DolphinScheduler: before 3.2.1.
We recommend users to upgrade Apache DolphinScheduler to version 3.2.1, which fixes the issue. |
| Invalid Accept-Encoding header can cause Apache Traffic Server to fail cache lookup and force forwarding requests.
This issue affects Apache Traffic Server: from 8.0.0 through 8.1.10, from 9.0.0 through 9.2.4.
Users are recommended to upgrade to version 8.1.11 or 9.2.5, which fixes the issue. |
|
In Apache Linkis <=1.5.0, due to the lack of effective filtering
of parameters, an attacker configuring malicious
db2
parameters in the DataSource Manager Module will result in jndi injection. Therefore, the parameters in the DB2 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
<=1.5.0
will be affected.
We recommend users upgrade the version of Linkis to version 1.6.0.
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| In Apache Linkis <=1.3.0 when used with the MySQL Connector/J, a deserialization vulnerability with possible remote code execution impact exists when an attacker has write access to a database and configures new datasource with a MySQL data source and malicious parameters. Therefore, the parameters in the jdbc url should be blacklisted. Versions of Apache Linkis <= 1.3.0 will be affected.
We recommend users to upgrade the version of Linkis to version 1.3.1.
|
| On Windows, Apache Portable Runtime 1.7.0 and earlier may write beyond the end of a stack based buffer in apr_socket_sendv(). This is a result of integer overflow. |
| Integer Overflow or Wraparound vulnerability in apr_encode functions of Apache Portable Runtime (APR) allows an attacker to write beyond bounds of a buffer.
This issue affects Apache Portable Runtime (APR) version 1.7.0. |
| Out-of-bounds Read vulnerability in Apache Software Foundation Apache InLong.This issue affects Apache InLong: from 1.1.0 through 1.5.0. Users are advised to upgrade to Apache InLong's latest version or cherry-pick https://github.com/apache/inlong/pull/7214 https://github.com/apache/inlong/pull/7214 to solve it.
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| Deserialization of Untrusted Data vulnerability in Apache Software Foundation Apache InLong.This issue affects Apache InLong: from 1.1.0 through 1.5.0. Users are advised to upgrade to Apache InLong's latest version or cherry-pick https://github.com/apache/inlong/pull/7223 https://github.com/apache/inlong/pull/7223 to solve it.
|
| 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. |
| Substitution encoding issue in mod_rewrite in Apache HTTP Server 2.4.59 and earlier allows attacker to execute scripts in
directories permitted by the configuration but not directly reachable by any URL or source disclosure of scripts meant to only to be executed as CGI.
Users are recommended to upgrade to version 2.4.60, which fixes this issue.
Some RewriteRules that capture and substitute unsafely will now fail unless rewrite flag "UnsafeAllow3F" is specified. |
| A possible security vulnerability has been identified in Apache Kafka Connect API.
This requires access to a Kafka Connect worker, and the ability to create/modify connectors on it with an arbitrary Kafka client SASL JAAS config
and a SASL-based security protocol, which has been possible on Kafka Connect clusters since Apache Kafka Connect 2.3.0.
When configuring the connector via the Kafka Connect REST API, an authenticated operator can set the `sasl.jaas.config`
property for any of the connector's Kafka clients to "com.sun.security.auth.module.JndiLoginModule", which can be done via the
`producer.override.sasl.jaas.config`, `consumer.override.sasl.jaas.config`, or `admin.override.sasl.jaas.config` properties.
This will allow the server to connect to the attacker's LDAP server
and deserialize the LDAP response, which the attacker can use to execute java deserialization gadget chains on the Kafka connect server.
Attacker can cause unrestricted deserialization of untrusted data (or) RCE vulnerability when there are gadgets in the classpath.
Since Apache Kafka 3.0.0, users are allowed to specify these properties in connector configurations for Kafka Connect clusters running with out-of-the-box
configurations. Before Apache Kafka 3.0.0, users may not specify these properties unless the Kafka Connect cluster has been reconfigured with a connector
client override policy that permits them.
Since Apache Kafka 3.4.0, we have added a system property ("-Dorg.apache.kafka.disallowed.login.modules") to disable the problematic login modules usage
in SASL JAAS configuration. Also by default "com.sun.security.auth.module.JndiLoginModule" is disabled in Apache Kafka Connect 3.4.0.
We advise the Kafka Connect users to validate connector configurations and only allow trusted JNDI configurations. Also examine connector dependencies for
vulnerable versions and either upgrade their connectors, upgrading that specific dependency, or removing the connectors as options for remediation. Finally,
in addition to leveraging the "org.apache.kafka.disallowed.login.modules" system property, Kafka Connect users can also implement their own connector
client config override policy, which can be used to control which Kafka client properties can be overridden directly in a connector config and which cannot.
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| The ExtractCCDAAttributes Processor in Apache NiFi 1.2.0 through 1.19.1 does not restrict XML External Entity references.
Flow configurations that include the ExtractCCDAAttributes Processor are vulnerable to malicious XML documents that contain Document Type Declarations with XML External Entity references.
The resolution disables Document Type Declarations and disallows XML External Entity resolution in the ExtractCCDAAttributes Processor.
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