Authenticated code execution via Redshift JDBC properties
Published Mar 28, 2023 · Updated Feb 18, 2025
Injection in the AWS Redshift datasource in DataEase before 1.18.5 allows remote authenticated users to execute arbitrary code. The datasource validation endpoint builds a Redshift JDBC database value from unnormalized input, allowing socketFactory and socketFactoryArg properties to instantiate Spring's ClassPathXmlApplicationContext. A normal DataEase account that can manage data sources can submit the crafted connection configuration, resulting in code execution on the server.
Summary
What happened
Injection in the AWS Redshift datasource in DataEase before 1.18.5 allows remote authenticated users to execute arbitrary code. The datasource validation endpoint builds a Redshift JDBC database value from unnormalized input, allowing socketFactory and socketFactoryArg properties to instantiate Spring's ClassPathXmlApplicationContext. A normal DataEase account that can manage data sources can submit the crafted connection configuration, resulting in code execution on the server.
The record
- CVE
- CVE-2023-28637
- Published
- Mar 28, 2023
- Updated
- Feb 18, 2025
- Vendor
- FIT2CLOUD
- Product
- DataEase
- Classifications
- CWE-74, T1190
- Attack vector
- network
- Privileges
- authenticated
Timeline
How it unfolded
- Mar 28, 2023CVE publishedPublication date reported by the CVE source.
- Feb 18, 2025Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
Compare your product and version with the public record. A matching version still requires validation against your environment.
Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=< 1.18.5
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
- Upstream AWS Redshift datasource proof of conceptfunctional · demonstrated
Labels summarize the accepted research assessment. They do not indicate a test against your environment.
Technologies
Your stack
See the directory against your own environment.
Your stack
Check the software in your environment
Book a demo to see how Hinoki identifies affected software and validates exploitability in your environment.
Book a demo