Authenticated code execution via unfiltered Redshift JDBC parameters
Published Jun 3, 2025 · Updated Jun 4, 2025
Code injection in FIT2CLOUD DataEase before 2.10.10 allows remote authenticated users to execute code through a crafted Redshift JDBC URL. Redshift.getJdbc() accepts attacker-controlled socketFactory parameters when getUrlType() resolves to hostName, bypassing the earlier filter and concatenating them into the connection string. Exploitation requires a low-privileged account able to configure a Redshift data source, after which the JDBC driver loads attacker-supplied content and executes code on the server.
Summary
What happened
Code injection in FIT2CLOUD DataEase before 2.10.10 allows remote authenticated users to execute code through a crafted Redshift JDBC URL. Redshift.getJdbc() accepts attacker-controlled socketFactory parameters when getUrlType() resolves to hostName, bypassing the earlier filter and concatenating them into the connection string. Exploitation requires a low-privileged account able to configure a Redshift data source, after which the JDBC driver loads attacker-supplied content and executes code on the server.
The record
- CVE
- CVE-2025-48999
- Published
- Jun 3, 2025
- Updated
- Jun 4, 2025
- Vendor
- FIT2CLOUD
- Product
- DataEase
- Classifications
- CWE-923, CWE-284, T1190
- Attack vector
- network
- Privileges
- authenticated
Timeline
How it unfolded
- Jun 3, 2025CVE publishedPublication date reported by the CVE source.
- Jun 4, 2025Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=< 2.10.10
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
- Redshift JDBC socketFactory payloadproof of concept · demonstrated
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Technologies
Your stack
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Your stack
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