7927 matches found
Deserialization of untrusted data
NVFLARE, versions prior to 2.1.2, contains a vulnerability in its utils module, where YAML files are loaded via yaml.load instead of yaml.safeload. The deserialization of Untrusted Data, may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to bo...
CVE-2022-31604
CVE-2022-31604 affects NVFLARE prior to 2.1.2. The PKI module deserializes CA credentials via pickle, enabling deserialization of untrusted data and potentially enabling Remote Code Execution, Denial of Service, and impact to Confidentiality/Integrity/Availability. Exploitation details are not pr...
Deserialization of Untrusted Data
Overview Affected versions of this package are vulnerable to Deserialization of Untrusted Data using YAML.load if the response is a YAML type. This is exploitable only if the attacker is in control of an opensearch server and convinces the victim to connect to it. Details Serialization is a proce...
Deserialization Of Untrusted Data
opensearch-ruby is vulnerable to deserialization of untrusted data. The vulnerability exists due to the unsafe deserialization of response.body data in YAML.load functionality in the verifyopensearch function of pensearch.rb...
Deserialization of untrusted data
opensearch-ruby is a community-driven, open source fork of elasticsearch-ruby. In versions prior to 2.0.1 the ruby YAML.load function was used instead of YAML.safeload. As a result opensearch-ruby 2.0.0 and prior can lead to unsafe deserialization using YAML.load if the response is of type YAML. ...
log4j: Remote code execution in Log4j 1.x when application is configured to use JMSSink
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...
log4j: SQL injection in Log4j 1.x when application is configured to use JDBCAppender
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...
log4j: Remote code execution in Log4j 1.x when application is configured to use JMSAppender
A flaw was found in the Java logging library Apache Log4j in version 1.x. JMSAppender in Log4j 1.x is vulnerable to deserialization of untrusted data. This allows a remote attacker to execute code on the server if the deployed application is configured to use JMSAppender and to the attacker's JND...
log4j: SQL injection in Log4j 1.x when application is configured to use JDBCAppender
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...
DevExpress SafeBinaryFormatter Deserialization of Untrusted Data Remote Code Execution Vulnerability
This vulnerability allows remote attackers to execute arbitrary code on affected installations of DevExpress. Authentication is required to exploit this vulnerability. The specific flaw exists within the SafeBinaryFormatter library. The issue results from the lack of proper validation of...
CVE-2022-25845
A flaw was found in com.alibaba:fastjson, a fast JSON parser/generator for Java. Affected versions of this package are vulnerable to Deserialization of Untrusted Data by bypassing the default autoType shutdown restrictions, which is possible under certain conditions. Mitigation Users who can not...
Deserialization Of Untrusted Data
nvflare is vulnerable to deserialization of untrusted data. The vulnerability exists because the CA credentials are transported via pickle and not properly deserialized which allows an attacker to execute codes and cause an application crash...
Deserialization Of Untrusted Data
nvflare is vulnerable to deserialization of untrusted data. The vulnerability exists because the yaml files are not loaded safely which allows an attacker to execute codes and cause an application crash...
com.google.code.gson-gson: Deserialization of Untrusted Data in com.google.code.gson-gson
A flaw was found in gson, which is vulnerable to Deserialization of Untrusted Data via the writeReplace method in internal classes. This issue may lead to availability attacks...
Microsoft SharePoint Chart Deserialization of Untrusted Data Remote Code Execution Vulnerability
This vulnerability allows remote attackers to execute arbitrary code on affected installations of Microsoft SharePoint Server. Authentication is required to exploit this vulnerability. The specific flaw exists within the processing of charts. Tampering with client-side data can trigger the...
CLSA-2022-1655843011 Fixed CVE-2019-17571 in log4j
CVE-2019-17571: Fix the deserialization of untrusted data in SocketServer that allows an attacker to remotely execute arbitrary code...
CLSA-2022-1655842760 Fixed CVE-2019-17571 in log4j
CVE-2019-17571: Fix the deserialization of untrusted data in SocketServer that allows an attacker to remotely execute arbitrary code...
VULNERABLE VERSION OF OPEN-ZEPPELIN CAN LEAD TO INITIALIZER() MALFUNCTION
Lines of code Vulnerability details VULNERABLE VERSION OF OPEN-ZEPPELIN CAN LEAD TO INITIALIZER MALFUNCTION Openzeppelin contracts are used, and as indicated in brownie-config.yaml, the version 3.4.0 of the openzeppelin-contracts-upgradeable dependency is used. The openzeppelin contracts from...
nodejs-lodash: prototype pollution in defaultsDeep function leading to modifying properties
A Prototype Pollution vulnerability was found in lodash. Calling certain methods with untrusted JSON could lead to modifying objects up the prototype chain, including the global Object. A crafted JSON object passed to a vulnerable method could lead to denial of service or data injection, with...
log4j: deserialization of untrusted data in SocketServer
A flaw was discovered in Log4j, where a vulnerable SocketServer class may lead to the deserialization of untrusted data. This flaw allows an attacker to remotely execute arbitrary code when combined with a deserialization gadget...