| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| The JndiJmsConnectionFactoryProvider Controller Service, along with the ConsumeJMS and PublishJMS Processors, in Apache NiFi 1.8.0 through 1.21.0 allow an authenticated and authorized user to configure URL and library properties that enable deserialization of untrusted data from a remote location.
The resolution validates the JNDI URL and restricts locations to a set of allowed schemes.
You are recommended to upgrade to version 1.22.0 or later which fixes this issue. |
| Elasticsearch generally filters out sensitive information and credentials before logging to the audit log. It was found that this filtering was not applied when requests to Elasticsearch use certain deprecated URIs for APIs. The impact of this flaw is that sensitive information such as passwords and tokens might be printed in cleartext in Elasticsearch audit logs. Note that audit logging is disabled by default and needs to be explicitly enabled and even when audit logging is enabled, request bodies that could contain sensitive information are not printed to the audit log unless explicitly configured. |
| Kubernetes secrets-store-csi-driver in versions before 1.3.3 discloses service account tokens in logs. |
| A deserialization vulnerability existed when decode a malicious package.This issue affects Apache Dubbo: from 3.1.0 through 3.1.10, from 3.2.0 through 3.2.4.
Users are recommended to upgrade to the latest version, which fixes the issue. |
| In Apache Linkis <=1.3.1, because the parameters are not
effectively filtered, the attacker uses the MySQL data source and malicious parameters to
configure a new data source to trigger a deserialization vulnerability, eventually leading to
remote code execution.
Versions of Apache Linkis <= 1.3.0 will be affected.
We recommend users upgrade the version of Linkis to version 1.3.2. |
| In Apache Linkis <=1.3.1, due to the lack of effective filtering
of parameters, an attacker configuring malicious Mysql JDBC parameters in JDBC EengineConn Module will trigger a
deserialization vulnerability and eventually lead to remote code execution. Therefore, the parameters in the Mysql JDBC URL should be blacklisted. Versions of Apache Linkis <= 1.3.0 will be affected.
We recommend users upgrade the version of Linkis to version 1.3.2. |
| ** UNSUPPORTED WHEN ASSIGNED **
When using the Chainsaw or SocketAppender components with Log4j 1.x on JRE less than 1.7, an attacker that manages to cause a logging entry involving a specially-crafted (ie, deeply nested)
hashmap or hashtable (depending on which logging component is in use) to be processed could exhaust the available memory in the virtual machine and achieve Denial of Service when the object is deserialized.
This issue affects Apache Log4j before 2. Affected users are recommended to update to Log4j 2.x.
NOTE: This vulnerability only affects products that are no longer supported by the maintainer. |
| Jenkins CloudBees CD Plugin 1.1.32 and earlier follows symbolic links to locations outside of the directory from which artifacts are published during the 'CloudBees CD - Publish Artifact' post-build step, allowing attackers able to configure jobs to publish arbitrary files from the Jenkins controller file system to the previously configured CloudBees CD server. |
| Jenkins CloudBees CD Plugin 1.1.32 and earlier follows symbolic links to locations outside of the expected directory during the cleanup process of the 'CloudBees CD - Publish Artifact' post-build step, allowing attackers able to configure jobs to delete arbitrary files on the Jenkins controller file system. |
| A privacy issue was addressed with improved private data redaction for log entries. This issue is fixed in macOS Sonoma 14.1, iOS 17.1 and iPadOS 17.1. An app may be able to access sensitive user data. |
| This issue was addressed with improved handling of symlinks. This issue is fixed in macOS Sonoma 14.1, macOS Monterey 12.7.1, macOS Ventura 13.6.1. A website may be able to access sensitive user data when resolving symlinks. |
| A privacy issue was addressed with improved private data redaction for log entries. This issue is fixed in iOS 17.1 and iPadOS 17.1, watchOS 10.1, iOS 16.7.2 and iPadOS 16.7.2, macOS Ventura 13.6.1, macOS Sonoma 14.1. An app may be able to access sensitive user data. |
| A privacy issue was addressed with improved private data redaction for log entries. This issue is fixed in macOS Big Sur 11.7.9, iOS 15.7.8 and iPadOS 15.7.8, macOS Monterey 12.6.8. An app may be able to read sensitive location information. |
| A privacy issue was addressed with improved private data redaction for log entries. This issue is fixed in macOS Sonoma 14.1. An app may be able to read sensitive location information. |
| A privacy issue was addressed with improved private data redaction for log entries. This issue is fixed in macOS Ventura 13.5. An app may be able to read sensitive location information. |
| Uploading files which contain symlinks may have allowed an attacker to trick a user into submitting sensitive data to a malicious website. This vulnerability affects Firefox < 115. |
| A flaw was found in GLib. GVariant deserialization is vulnerable to an exponential blowup issue where a crafted GVariant can cause excessive processing, leading to denial of service. |
| A flaw was found in glib, where the gvariant deserialization code is vulnerable to a denial of service introduced by additional input validation added to resolve CVE-2023-29499. The offset table validation may be very slow. This bug does not affect any released version of glib but does affect glib distributors who followed the guidance of glib developers to backport the initial fix for CVE-2023-29499. |
| A flaw was found in GLib. GVariant deserialization is vulnerable to a slowdown issue where a crafted GVariant can cause excessive processing, leading to denial of service. |
| A CWE-598 “Use of GET Request Method with Sensitive Query Strings” was discovered affecting the 130.8005 TCP/IP Gateway running firmware version 12h. Both the SHA-1 hash of the password as well as the session tokens are included as part of the URL and therefore exposed to information leakage scenarios. An attacker capable of accessing such values (e.g., victim browser, network traffic inspection) can exploit this vulnerability to leak both the password hash as well as session tokens and bypass the authentication mechanism using a pass-the-hash attack. |
