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Public Security Vulnerability
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Resolution: Fixed
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High
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7.21.0, 7.21.1, 7.21.2, 7.21.3, 7.21.4, 7.21.5, 7.21.6, 7.21.7, 7.21.8, 7.21.9, 7.21.10, 7.21.11, 7.21.12, 7.21.13, 8.7.1, 8.8.0, 8.9.0, 8.9.1, 8.9.2, 8.10.0, 8.10.1, 8.10.2, 8.11.0, 8.11.1, 8.12.0, 8.9.3, 8.10.3, 8.11.2, 7.21.14, 7.21.15
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None
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8.8
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High
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CVE-2023-25194
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Atlassian (Internal)
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CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
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Patch Management
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Bitbucket Data Center, Bitbucket Server
This High severity Third-Party Dependency vulnerability was introduced in versions 7.21.0, 8.7.1, 8.8.0, 8.9.0, 8.10.0, 8.11.0, and 8.12.0 of Bitbucket Data Center and Server.
This Third-Party Dependency vulnerability, with a CVSS Score of 8.8 and a CVSS Vector of CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H allows an authenticated attacker to expose assets in your environment susceptible to exploitation which has high impact to confidentiality, high impact to integrity, high impact to availability, and requires no user interaction.
Atlassian recommends that Bitbucket Data Center and Server customers upgrade to latest version, if you are unable to do so, upgrade your instance to one of the specified supported fixed versions:
- Bitbucket Data Center and Server 7.21: Upgrade to a release greater than or equal to 7.21.16
- Bitbucket Data Center and Server 8.9: Upgrade to a release greater than or equal to 8.9.4
- Bitbucket Data Center and Server 8.10: Upgrade to a release greater than or equal to 8.10.4
- Bitbucket Data Center and Server 8.11: Upgrade to a release greater than or equal to 8.11.3
- Bitbucket Data Center and Server 8.12: Upgrade to a release greater than or equal to 8.12.1
See the release notes (https://confluence.atlassian.com/bitbucketserver/release-notes). You can download the latest version of Bitbucket Data Center and Server from the download center (https://www.atlassian.com/software/bitbucket/download-archives).
The National Vulnerability Database provides the following description for this vulnerability: 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.