IBM Cognos Analytics 11.0 and 11.1 DQM API allows submitting of all control requests in unauthenticated sessions. This allows a remote attacker who can access a valid CA endpoint to read and write files to the Cognos Analytics system. IBM X-Force ID: 183903.
Summary
Log4j versions prior to 2.16.0 are subject to a remote code execution vulnerability via the ldap JNDI parser. As per Apache's Log4j security guide: Apache Log4j2 <=2.14.1 JNDI features used in configuration, log messages, and parameters do not protect against attacker controlled LDAP and other JNDI related endpoints. An attacker who can control log messages or log message parameters can execute arbitrary code loaded from LDAP servers when message lookup substitution is enabled. From log4j 2.16.0, this behavior has been disabled by default.
Log4j version 2.15.0 contained an earlier fix for the vulnerability, but that patch did not disable attacker-controlled JNDI lookups in all situations. For more information, see the Updated advice for version 2.16.0 section of this advisory.
Impact
Logging untrusted or user controlled data with a vulnerable version of Log4J may result in Remote Code Execution (RCE) against your application. This includes untrusted data included in logged errors such as exception traces, authentication failures, and other unexpected vectors of user controlled input.
Affected versions
Any Log4J version prior to v2.15.0 is affected to this specific issue.
The v1 branch of Log4J which is considered End Of Life (EOL) is vulnerable to other RCE vectors so the recommendation is to still update to 2.16.0 where possible.
Security releases Additional backports of this fix have been made available in versions 2.3.1, 2.12.2, and 2.12.3
Affected packages Only the org.apache.logging.log4j:log4j-core package is directly affected by this vulnerability. The org.apache.logging.log4j:log4j-api should be kept at the same version as the org.apache.logging.log4j:log4j-core package to ensure compatability if in use.
Remediation Advice
Updated advice for version 2.16.0
The Apache Logging Services team provided updated mitigation advice upon the release of version 2.16.0, which disables JNDI by default and completely removes support for message lookups. Even in version 2.15.0, lookups used in layouts to provide specific pieces of context information will still recursively resolve, possibly triggering JNDI lookups. This problem is being tracked as CVE-2021-45046. More information is available on the GitHub Security Advisory for CVE-2021-45046.
Users who want to avoid attacker-controlled JNDI lookups but cannot upgrade to 2.16.0 must ensure that no such lookups resolve to attacker-provided data and ensure that the the JndiLookup class is not loaded.
Please note that Log4J v1 is End Of Life (EOL) and will not receive patches for this issue. Log4J v1 is also vulnerable to other RCE vectors and we recommend you migrate to Log4J 2.16.0 where possible.
A flaw was found in xstream. A remote attacker, who has sufficient rights, can execute commands of the host by manipulating the processed input stream. The highest threat from this vulnerability is to data confidentiality and integrity as well as system availability.
Apache Tomcat contains an unspecified vulnerability that allows for remote code execution if JmxRemoteLifecycleListener is used and an attacker can reach Java Management Extension (JMX) ports. This CVE exists because this listener wasn't updated for consistency with the Oracle patched issues for CVE-2016-3427 which affected credential types.
It was discovered that the RMI (Java Remote Method Invocation) server implementation in the JMX (Java Management Extensions) component of OpenJDK did not restrict which classes can be deserialized when deserializing authentication credentials. A remote unauthenticated attacker able to connect to a JMX port could possibly use this flaw trigger deserialization flaws.
Airport. A permissions issue was addressed with improved redaction of sensitive information.
A flaw was found in OpenSSL. The crehash script does not properly sanitize shell meta-characters to prevent command injection. Some operating systems distribute this script in a manner where it is automatically executed. This flaw allows an attacker to execute arbitrary commands with the privileges of the script on these operating systems.
In Apache Log4j 2.x before 2.8.2, when using the TCP socket server or UDP socket server to receive serialized log events from another application, a specially crafted binary payload can be sent that, when deserialized, can execute arbitrary code.
A flaw was found in xstream. A remote attacker may be able to execute arbitrary code only by manipulating the processed input stream. The highest threat from this vulnerability is to data confidentiality and integrity as well as system availability.
A flaw was found in xstream. A remote attacker can load and execute arbitrary code from a remote host by manipulating the processed input stream. The highest threat from this vulnerability is to data confidentiality and integrity as well as system availability.
A flaw was found in xstream. A remote attacker may be able to load and execute arbitrary code from a remote host only by manipulating the processed input stream. The highest threat from this vulnerability is to data confidentiality and integrity as well as system availability.
A flaw was found in xstream. A remote attacker may be able to load and execute arbitrary code from a remote host only by manipulating the processed input stream. The highest threat from this vulnerability is to data confidentiality and integrity as well as system availability.
A flaw was found in Node.js. These vulnerabilities include remote code execution, Cross-site scripting (XSS), application crashes due to missing input validation of hostnames returned by Domain Name Servers in the Node.js DNS library, which can lead to the output of wrong hostnames (leading to Domain hijacking) and injection vulnerabilities in applications using the library.
A flaw was found in openssl. A miscalculation of a buffer size was found in openssl's SM2 decryption function, allowing up to 62 arbitrary bytes to be written outside of the buffer. A remote attacker could use this flaw to crash an application supporting SM2 signature or encryption algorithm, or, possibly, execute arbitrary code with the permissions of the user running that application. The highest threat from this vulnerability is to data confidentiality and integrity as well as system availability.
Apache Tomcat through versions 7.0.88, 8.0.52, 8.5.31 and 9.0.8 have defaults settings for the CORS filter that are insecure and enable 'supportsCredentials' for all origins.
Upstream announcement:
https://lists.apache.org/thread.html/fbfb713e4f8a4c0f81089b89450828011343593800cae3fb629192b1@%3Cannounce.tomcat.apache.org%3E
Upstream bug:
https://bz.apache.org/bugzilla/showbug.cgi?id=62343
Upstream Patches:
http://svn.apache.org/viewvc?view=rev&rev=1831726 / trunk/9.0 http://svn.apache.org/viewvc?view=rev&rev=1831728 / 8.5 http://svn.apache.org/viewvc?view=rev&rev=1831729 / 8.0 http://svn.apache.org/viewvc?view=rev&rev=1831730 / 7.0
External References:
http://tomcat.apache.org/security-9.html#FixedinApacheTomcat9.0.9 http://tomcat.apache.org/security-8.html#FixedinApacheTomcat8.5.32 http://tomcat.apache.org/security-8.html#FixedinApacheTomcat8.0.53 http://tomcat.apache.org/security-7.html#FixedinApacheTomcat7.0.89
Accessibility. A privacy issue was addressed with improved private data redaction for log entries.
An old inffast.c optimization turns out to not be optimal anymore with modern compilers, and furthermore was not compliant with the C standard, for which decrementing a pointer before its allocated memory is undefined.
External References:
https://wiki.mozilla.org/images/0/09/Zlib-report.pdf https://docs.google.com/document/d/10i1KZS5so8xDqH2rplRa2xet0tyTvvJlLbQQmZIUIKE/edit#heading=h.t13tvnx4loq7
Upstream patch:
https://github.com/madler/zlib/commit/9aaec95e82117c1cb0f9624264c3618fc380cecb
CVE assignment:
http://seclists.org/oss-sec/2016/q4/602
Last updated 14 January 2026
This vulnerability allows remote attackers to execute arbitrary code on affected installations of Oracle MySQL Cluster. Authentication is not required to exploit this vulnerability. The specific flaw exists within the processing of Data Node jobs. The issue results from the lack of proper validation of user-supplied data, which can result in a write past the end of an array. An attacker can leverage this vulnerability to execute code in the context of the service account.
This vulnerability allows remote attackers to execute arbitrary code on affected installations of Oracle MySQL Cluster. Authentication is not required to exploit this vulnerability. The specific flaw exists within the Management API. The issue results from the lack of proper validation of the length of user-supplied data prior to copying it to a fixed-length stack-based buffer. An attacker can leverage this vulnerability to execute code in the context of the service account.
This vulnerability allows remote attackers to execute arbitrary code on affected installations of Oracle MySQL Cluster. Authentication is not required to exploit this vulnerability. The specific flaw exists within the processing of Data Node jobs. The issue results from the lack of proper validation of the length of user-supplied data prior to copying it to a buffer. An attacker can leverage this vulnerability to execute code in the context of the service account.
This vulnerability allows remote attackers to execute arbitrary code on affected installations of Oracle MySQL Cluster. Authentication is not required to exploit this vulnerability. The specific flaw exists within the processing of Data Node jobs. The issue results from the lack of proper validation of the length of user-supplied data prior to copying it to a stack-based buffer. An attacker can leverage this vulnerability to execute code in the context of the service account.
This vulnerability allows remote attackers to execute arbitrary code on affected installations of Oracle MySQL Cluster. Authentication is not required to exploit this vulnerability. The specific flaw exists within the processing of Data Node jobs. The issue results from the lack of proper validation of user-supplied data, which can result in a write past the end of an array. An attacker can leverage this vulnerability to execute code in the context of the service account.
This vulnerability allows remote attackers to execute arbitrary code on affected installations of Oracle MySQL Cluster. Authentication is not required to exploit this vulnerability. The specific flaw exists within the processing of Data Node jobs. The issue results from the lack of proper validation of user-supplied data, which can result in a access past the end of an array. An attacker can leverage this vulnerability to execute code in the context of the service account.
This vulnerability allows remote attackers to execute arbitrary code on affected installations of Oracle MySQL Cluster. Authentication is not required to exploit this vulnerability. The specific flaw exists within the processing of Data Node jobs. The issue results from the lack of proper validation of the length of user-supplied data prior to copying it to a buffer. An attacker can leverage this vulnerability to execute code in the context of the service account.
This vulnerability allows remote attackers to execute arbitrary code on affected installations of Oracle MySQL Cluster. Authentication is not required to exploit this vulnerability. The specific flaw exists within the processing of Data Node jobs. The issue results from the lack of proper validation of user-supplied data, which can result in a write past the end of an array. An attacker can leverage this vulnerability to execute code in the context of the service account.
This vulnerability allows remote attackers to execute arbitrary code on affected installations of Oracle MySQL Cluster. Authentication is not required to exploit this vulnerability. The specific flaw exists within the processing of Data Node jobs. The issue results from the lack of proper validation of user-supplied data, which can result in a write past the end of an array. An attacker can leverage this vulnerability to execute code in the context of the service account.
This vulnerability allows remote attackers to execute arbitrary code on affected installations of Oracle MySQL Cluster. Authentication is not required to exploit this vulnerability. The specific flaw exists within the processing of Data Node jobs. The issue results from the lack of proper validation of the length of user-supplied data prior to copying it to a stack-based buffer. An attacker can leverage this vulnerability to execute code in the context of the service account.
This vulnerability allows remote attackers to execute arbitrary code on affected installations of Oracle MySQL Cluster. Authentication is not required to exploit this vulnerability. The specific flaw exists within the processing of Data Node jobs. The issue results from the lack of proper validation of user-supplied data, which can result in a write past the end of an array. An attacker can leverage this vulnerability to execute code in the context of the service account.
This vulnerability allows remote attackers to execute arbitrary code on affected installations of Oracle MySQL Cluster. Authentication is not required to exploit this vulnerability. The specific flaw exists within the processing of Data Node jobs. The issue results from the lack of proper validation of the length of user-supplied data prior to copying it to a buffer. An attacker can leverage this vulnerability to execute code in the context of the service account.