rhsa-2022_0469
Vulnerability from csaf_redhat
Published
2022-02-08 13:56
Modified
2024-11-26 02:52
Summary
Red Hat Security Advisory: Red Hat AMQ Streams 2.0.1 release and security update

Notes

Topic
Red Hat AMQ Streams 2.0.1 is now available from the Red Hat Customer Portal. Red Hat Product Security has rated this update as having a security impact of Important. A Common Vulnerability Scoring System (CVSS) base score, which gives a detailed severity rating, is available for each vulnerability from the CVE link(s) in the References section.
Details
Red Hat AMQ Streams, based on the Apache Kafka project, offers a distributed backbone that allows microservices and other applications to share data with extremely high throughput and extremely low latency. This release of Red Hat AMQ Streams 2.0.1 serves as a replacement for Red Hat AMQ Streams 2.0.0, and includes security and bug fixes, and enhancements. Security Fix(es): * log4j: SQL injection in Log4j 1.x when application is configured to use JDBCAppender (CVE-2022-23305) * log4j: Unsafe deserialization flaw in Chainsaw log viewer (CVE-2022-23307) * kubernetes-client: Insecure deserialization in unmarshalYaml method (CVE-2021-4178) * log4j: Remote code execution in Log4j 1.x when application is configured to use JMSSink (CVE-2022-23302) For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.
Terms of Use
This content is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). If you distribute this content, or a modified version of it, you must provide attribution to Red Hat Inc. and provide a link to the original.



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        "text": "Red Hat AMQ Streams 2.0.1 is now available from the Red Hat Customer Portal.\n\nRed Hat Product Security has rated this update as having a security impact of Important. A Common Vulnerability Scoring System (CVSS) base score, which gives a detailed severity rating, is available for each vulnerability from the CVE link(s) in the References section.",
        "title": "Topic"
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        "text": "Red Hat AMQ Streams, based on the Apache Kafka project, offers a distributed backbone that allows microservices and other applications to share data with extremely high throughput and extremely low latency. \n\nThis release of Red Hat AMQ Streams 2.0.1 serves as a replacement for Red Hat AMQ Streams 2.0.0, and includes security and bug fixes, and enhancements.\n\nSecurity Fix(es):\n\n* log4j: SQL injection in Log4j 1.x when application is configured to use JDBCAppender (CVE-2022-23305)\n\n* log4j: Unsafe deserialization flaw in Chainsaw log viewer (CVE-2022-23307)\n\n* kubernetes-client: Insecure deserialization in unmarshalYaml method (CVE-2021-4178)\n\n* log4j: Remote code execution in Log4j 1.x when application is configured to use JMSSink (CVE-2022-23302)\n\nFor more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.",
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    "title": "Red Hat Security Advisory: Red Hat AMQ Streams 2.0.1 release and security update",
    "tracking": {
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      "cve": "CVE-2021-4178",
      "cwe": {
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        "name": "Deserialization of Untrusted Data"
      },
      "discovery_date": "2021-12-16T00:00:00+00:00",
      "ids": [
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          "text": "2034388"
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          "text": "A arbitrary code execution flaw was found in the Fabric 8 Kubernetes client affecting versions 5.0.0-beta-1 and above. Due to an improperly configured YAML parsing, this will allow a local and privileged attacker to supply malicious YAML.",
          "title": "Vulnerability description"
        },
        {
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          "text": "kubernetes-client: Insecure deserialization in unmarshalYaml method",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "Red Hat CodeReady Studio 12 is not affected by this flaw because it does not ship a vulnerable version of kubernetes-client; the version that it ships does not use SnakeYAML.",
          "title": "Statement"
        },
        {
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          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
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          "url": "https://access.redhat.com/security/cve/CVE-2021-4178"
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          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2034388"
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        {
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          "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-4178"
        }
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      "remediations": [
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          "category": "vendor_fix",
          "date": "2022-02-08T13:56:51+00:00",
          "details": "Before applying the update, back up your existing installation, including all applications, configuration files, databases and database settings, and so on.\n\nThe References section of this erratum contains a download link (you must log in to download the update).",
          "product_ids": [
            "Red Hat AMQ Streams 2.0.1"
          ],
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          "url": "https://access.redhat.com/errata/RHSA-2022:0469"
        }
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      "scores": [
        {
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            "attackVector": "LOCAL",
            "availabilityImpact": "HIGH",
            "baseScore": 6.7,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "HIGH",
            "scope": "UNCHANGED",
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          ]
        }
      ],
      "threats": [
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          "category": "impact",
          "details": "Moderate"
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      ],
      "title": "kubernetes-client: Insecure deserialization in unmarshalYaml method"
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    {
      "cve": "CVE-2022-23302",
      "cwe": {
        "id": "CWE-502",
        "name": "Deserialization of Untrusted Data"
      },
      "discovery_date": "2022-01-18T00:00:00+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2041949"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in the Java logging library Apache Log4j in version 1.x. JMSSink in Log4j 1.x is vulnerable to deserialization of untrusted data. This allows a remote attacker to execute code on the server if JMSSink is deployed and has been configured to perform JNDI requests.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "log4j: Remote code execution in Log4j 1.x when application is configured to use JMSSink",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "Note this flaw ONLY affects applications which are specifically configured to use JMSSink, which is not the default, or when the attacker has write access to the Log4j configuration for adding JMSSink to the attacker\u0027s JNDI LDAP endpoint.\n\nRed Hat Satellite bundles log4j-over-slf4j with Candlepin, however, product is not affected as it uses logback framework for logging.\n\nRed Hat Virtualization and OpenShift Container Platform in the OCP Metering stack (the Hive/Presto/Hadoop components) ship a vulnerable version of the log4j package, however JMSSink is not used. Therefore the impact of this vulnerability for these products is rated Low.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
        "fixed": [
          "Red Hat AMQ Streams 2.0.1"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2022-23302"
        },
        {
          "category": "external",
          "summary": "RHBZ#2041949",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2041949"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2022-23302",
          "url": "https://www.cve.org/CVERecord?id=CVE-2022-23302"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2022-23302",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23302"
        },
        {
          "category": "external",
          "summary": "https://www.openwall.com/lists/oss-security/2022/01/18/3",
          "url": "https://www.openwall.com/lists/oss-security/2022/01/18/3"
        }
      ],
      "release_date": "2022-01-18T00:00:00+00:00",
      "remediations": [
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          "date": "2022-02-08T13:56:51+00:00",
          "details": "Before applying the update, back up your existing installation, including all applications, configuration files, databases and database settings, and so on.\n\nThe References section of this erratum contains a download link (you must log in to download the update).",
          "product_ids": [
            "Red Hat AMQ Streams 2.0.1"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2022:0469"
        },
        {
          "category": "workaround",
          "details": "These are the possible mitigations for this flaw for releases version 1.x:\n\n- Comment out or remove JMSSink in the Log4j configuration if it is used\n- Remove the JMSSink class from the server\u0027s jar files. For example:\n```\nzip -q -d log4j-*.jar org/apache/log4j/net/JMSSink.class\n```\n- Restrict access for the OS user on the platform running the application to prevent modifying the Log4j configuration by the attacker.",
          "product_ids": [
            "Red Hat AMQ Streams 2.0.1"
          ]
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "products": [
            "Red Hat AMQ Streams 2.0.1"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Moderate"
        }
      ],
      "title": "log4j: Remote code execution in Log4j 1.x when application is configured to use JMSSink"
    },
    {
      "cve": "CVE-2022-23305",
      "cwe": {
        "id": "CWE-89",
        "name": "Improper Neutralization of Special Elements used in an SQL Command (\u0027SQL Injection\u0027)"
      },
      "discovery_date": "2022-01-18T00:00:00+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2041959"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in the Java logging library Apache Log4j in version 1.x. JDBCAppender in Log4j 1.x is vulnerable to SQL injection in untrusted data. This allows a remote attacker to run SQL statements in the database if the deployed application is configured to use JDBCAppender with certain interpolation tokens.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "log4j: SQL injection in Log4j 1.x when application is configured to use JDBCAppender",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "Note this issue only affects Log4j 1.x when specifically configured to use the JDBCAppender, which is not the default.\n\nRed Hat Satellite bundles log4j-over-slf4j with Candlepin, however, product is not affected as it uses logback framework for logging.\n\nRed Hat Virtualization and OpenShift Container Platform in the OCP Metering stack (the Hive/Presto/Hadoop components) ship a vulnerable version of the log4j package, however JDBCAppender is not used. Therefore the impact of this vulnerability for these products is rated Low.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
        "fixed": [
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        ]
      },
      "references": [
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          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2022-23305"
        },
        {
          "category": "external",
          "summary": "RHBZ#2041959",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2041959"
        },
        {
          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2022-23305",
          "url": "https://www.cve.org/CVERecord?id=CVE-2022-23305"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2022-23305",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23305"
        },
        {
          "category": "external",
          "summary": "https://www.openwall.com/lists/oss-security/2022/01/18/4",
          "url": "https://www.openwall.com/lists/oss-security/2022/01/18/4"
        }
      ],
      "release_date": "2022-01-18T00:00:00+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2022-02-08T13:56:51+00:00",
          "details": "Before applying the update, back up your existing installation, including all applications, configuration files, databases and database settings, and so on.\n\nThe References section of this erratum contains a download link (you must log in to download the update).",
          "product_ids": [
            "Red Hat AMQ Streams 2.0.1"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2022:0469"
        },
        {
          "category": "workaround",
          "details": "These are the possible mitigations for this flaw for releases version 1.x:\n\n- Comment out or remove JDBCAppender in the Log4j configuration if it is used\n- Remove the JDBCAppender class from the server\u0027s jar files. For example:\n```\nzip -q -d log4j-*.jar org/apache/log4j/jdbc/JDBCAppender.class\n```",
          "product_ids": [
            "Red Hat AMQ Streams 2.0.1"
          ]
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "products": [
            "Red Hat AMQ Streams 2.0.1"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "log4j: SQL injection in Log4j 1.x when application is configured to use JDBCAppender"
    },
    {
      "cve": "CVE-2022-23307",
      "cwe": {
        "id": "CWE-502",
        "name": "Deserialization of Untrusted Data"
      },
      "discovery_date": "2022-01-18T00:00:00+00:00",
      "ids": [
        {
          "system_name": "Red Hat Bugzilla ID",
          "text": "2041967"
        }
      ],
      "notes": [
        {
          "category": "description",
          "text": "A flaw was found in the log4j 1.x chainsaw component, where the contents of certain log entries are deserialized and possibly permit code execution. This flaw allows an attacker to send a malicious request with serialized data to the server to be deserialized when the chainsaw component is run.",
          "title": "Vulnerability description"
        },
        {
          "category": "summary",
          "text": "log4j: Unsafe deserialization flaw in Chainsaw log viewer",
          "title": "Vulnerability summary"
        },
        {
          "category": "other",
          "text": "Chainsaw is a standalone graphical user interface for viewing log entries in log4j. This flaw may be bypassed by using other available means to access log entries.\n\nRed Hat Satellite bundles log4j-over-slf4j with Candlepin, however, product is not affected as it uses logback framework for logging.\n\nRed Hat Virtualization ships a vulnerable version of the log4j package, however chainsaw is not part of typical use cases. An attacker looking to exploit this would need to not only be able to generate a malicious log entry, but also have the necessary access and permissions to start chainsaw on the engine node. Therefore the impact of this vulnerability for Red Hat Virtualization is rated Low.\n\nSimilar to Red Hat Virtualization in OpenShift Container Platform (OCP), the Hive/Presto/Hadoop components that comprise the OCP Metering stack, ship the vulnerable version of log4j package, however vulnerable chainsaw component is not used by default. Therefore the impact to OCP is reduced to Low.",
          "title": "Statement"
        },
        {
          "category": "general",
          "text": "The CVSS score(s) listed for this vulnerability do not reflect the associated product\u0027s status, and are included for informational purposes to better understand the severity of this vulnerability.",
          "title": "CVSS score applicability"
        }
      ],
      "product_status": {
        "fixed": [
          "Red Hat AMQ Streams 2.0.1"
        ]
      },
      "references": [
        {
          "category": "self",
          "summary": "Canonical URL",
          "url": "https://access.redhat.com/security/cve/CVE-2022-23307"
        },
        {
          "category": "external",
          "summary": "RHBZ#2041967",
          "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2041967"
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          "category": "external",
          "summary": "https://www.cve.org/CVERecord?id=CVE-2022-23307",
          "url": "https://www.cve.org/CVERecord?id=CVE-2022-23307"
        },
        {
          "category": "external",
          "summary": "https://nvd.nist.gov/vuln/detail/CVE-2022-23307",
          "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23307"
        },
        {
          "category": "external",
          "summary": "https://www.openwall.com/lists/oss-security/2022/01/18/5",
          "url": "https://www.openwall.com/lists/oss-security/2022/01/18/5"
        }
      ],
      "release_date": "2022-01-18T00:00:00+00:00",
      "remediations": [
        {
          "category": "vendor_fix",
          "date": "2022-02-08T13:56:51+00:00",
          "details": "Before applying the update, back up your existing installation, including all applications, configuration files, databases and database settings, and so on.\n\nThe References section of this erratum contains a download link (you must log in to download the update).",
          "product_ids": [
            "Red Hat AMQ Streams 2.0.1"
          ],
          "restart_required": {
            "category": "none"
          },
          "url": "https://access.redhat.com/errata/RHSA-2022:0469"
        },
        {
          "category": "workaround",
          "details": "These are the mitigations available for this flaw for log4j 1.x:\n- Avoid using Chainsaw to view logs, and instead use some other utility, especially if there is a log view available within the product itself.\n- Remove the Chainsaw classes from the log4j jar files. For example:\n```\nzip -q -d log4j-*.jar org/apache/log4j/chainsaw/*\n```\n(log4j jars may be nested in zip archives within product)",
          "product_ids": [
            "Red Hat AMQ Streams 2.0.1"
          ]
        }
      ],
      "scores": [
        {
          "cvss_v3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "products": [
            "Red Hat AMQ Streams 2.0.1"
          ]
        }
      ],
      "threats": [
        {
          "category": "impact",
          "details": "Important"
        }
      ],
      "title": "log4j: Unsafe deserialization flaw in Chainsaw log viewer"
    }
  ]
}


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