Apache: Security Vulnerabilities
Apache Sling JCR Base < 3.1.12 has a critical injection vulnerability when running on old JDK versions (JDK 1.8.191 or earlier) through utility functions in RepositoryAccessor. The functions getRepository and getRepositoryFromURL allow an application to access data stored in a remote location via JDNI and RMI.
Users of Apache Sling JCR Base are recommended to upgrade to Apache Sling JCR Base 3.1.12 or later, or to run on a more recent JDK.
CVSS Score
7.5
EPSS Score
0.007
Published
2023-02-14
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.
CVSS Score
7.5
EPSS Score
0.002
Published
2023-02-10
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.
CVSS Score
8.8
EPSS Score
0.941
Published
2023-02-07
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.
CVSS Score
8.1
EPSS Score
0.001
Published
2023-02-04
An improper neutralization of input during web page generation ('Cross-site Scripting') [CWE-79] vulnerability in Sling App CMS version 1.1.4 and prior may allow an authenticated remote attacker to perform a reflected cross-site scripting (XSS) attack in multiple features.
Upgrade to Apache Sling App CMS >= 1.1.6
CVSS Score
6.1
EPSS Score
0.002
Published
2023-02-04
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.
CVSS Score
9.8
EPSS Score
0.003
Published
2023-02-01
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.
CVSS Score
7.5
EPSS Score
0.003
Published
2023-02-01
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.
CVSS Score
9.8
EPSS Score
0.001
Published
2023-01-31
Integer Overflow or Wraparound vulnerability in apr_base64 functions of Apache Portable Runtime Utility (APR-util) allows an attacker to write beyond bounds of a buffer.
This issue affects Apache Portable Runtime Utility (APR-util) 1.6.1 and prior versions.
CVSS Score
6.5
EPSS Score
0.0
Published
2023-01-31
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.
CVSS Score
9.8
EPSS Score
0.002
Published
2023-01-31