GHSA-P64X-8RXX-WF6Q Django `Trunc()` and `Extract()` database functions vulnerable to SQL Injection

An issue was discovered in Django 3.2 before 3.2.14 and 4.0 before 4.0.6. The Trunc and Extract database functions are subject to SQL injection if untrusted data is used as a kind/lookupname value. Applications that constrain the lookup name and kind choice to a known safe list are unaffected...

DEBIAN-CVE-2022-34265

An issue was discovered in Django 3.2 before 3.2.14 and 4.0 before 4.0.6. The Trunc and Extract database functions are subject to SQL injection if untrusted data is used as a kind/lookupname value. Applications that constrain the lookup name and kind choice to a known safe list are unaffected...

PYSEC-2022-213

An issue was discovered in Django 3.2 before 3.2.14 and 4.0 before 4.0.6. The Trunc and Extract database functions are subject to SQL injection if untrusted data is used as a kind/lookupname value. Applications that constrain the lookup name and kind choice to a known safe list are unaffected...

PYSEC-2022-213

An issue was discovered in Django 3.2 before 3.2.14 and 4.0 before 4.0.6. The Trunc and Extract database functions are subject to SQL injection if untrusted data is used as a kind/lookupname value. Applications that constrain the lookup name and kind choice to a known safe list are unaffected...

CVE-2022-34265

An issue was discovered in Django 3.2 before 3.2.14 and 4.0 before 4.0.6. The Trunc and Extract database functions are subject to SQL injection if untrusted data is used as a kind/lookupname value. Applications that constrain the lookup name and kind choice to a known safe list are unaffected...

UBUNTU-CVE-2022-34265

An issue was discovered in Django 3.2 before 3.2.14 and 4.0 before 4.0.6. The Trunc and Extract database functions are subject to SQL injection if untrusted data is used as a kind/lookupname value. Applications that constrain the lookup name and kind choice to a known safe list are unaffected...

CVE-2022-31604

NVFLARE, versions prior to 2.1.2, contains a vulnerability in its PKI implementation module, where The CA credentials are transported via pickle and no safe deserialization. The deserialization of Untrusted Data may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of...

Deserialization of untrusted data

NVFLARE, versions prior to 2.1.2, contains a vulnerability in its PKI implementation module, where The CA credentials are transported via pickle and no safe deserialization. The deserialization of Untrusted Data may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of...

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...