Dataease <1.15.2: JDBC Deserialization Enables RCE
CVE-2022-39312 Published on October 25, 2022
Dataease Mysql Data Source JDBC Connection Parameters Not Verified Leads to Deserialization Vulnerability
Dataease is an open source data visualization analysis tool. Dataease prior to 1.15.2 has a deserialization vulnerability. In Dataease, the Mysql data source in the data source function can customize the JDBC connection parameters and the Mysql server target to be connected. In `backend/src/main/java/io/dataease/provider/datasource/JdbcProvider.java`, the `MysqlConfiguration` class does not filter any parameters. If an attacker adds some parameters to a JDBC url and connects to a malicious mysql server, the attacker can trigger the mysql jdbc deserialization vulnerability. Through the deserialization vulnerability, the attacker can execute system commands and obtain server privileges. Version 1.15.2 contains a patch for this issue.
Vulnerability Analysis
CVE-2022-39312 is exploitable with network access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. An automatable proof of concept (POC) exploit exists. The potential impact of an exploit of this vulnerability is considered to be critical as this vulnerability has a high impact to the confidentiality, integrity and availability of this component.
Weakness Types
Improper Input Validation
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.
What is a Marshaling, Unmarshaling Vulnerability?
The application deserializes untrusted data without sufficiently verifying that the resulting data will be valid.
CVE-2022-39312 has been classified to as a Marshaling, Unmarshaling vulnerability or weakness.
Products Associated with CVE-2022-39312
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Affected Versions
dataease Version < 1.15.2 is affected by CVE-2022-39312Exploit Probability
EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.