Arbitrary file read via crafted JDBC URL
Published Apr 7, 2023 · Updated Oct 22, 2024
Improper input validation in Apache Airflow Spark Provider before 4.0.1 allows remote attackers to read arbitrary files through JDBC. SparkJDBCHook concatenates connection host and schema values into a JDBC URL without rejecting path and query delimiters. Exploitation requires attacker-influenced JDBC connection fields to reach the hook and exposes files readable by the Airflow process.
Summary
What happened
Improper input validation in Apache Airflow Spark Provider before 4.0.1 allows remote attackers to read arbitrary files through JDBC. SparkJDBCHook concatenates connection host and schema values into a JDBC URL without rejecting path and query delimiters. Exploitation requires attacker-influenced JDBC connection fields to reach the hook and exposes files readable by the Airflow process.
The record
- CVE
- CVE-2023-28710
- Published
- Apr 7, 2023
- Updated
- Oct 22, 2024
- Vendor
- The Apache Software Foundation
- Product
- apache-airflow-providers-apache-spark
- Classifications
- CWE-20, T1190
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Apr 7, 2023CVE publishedPublication date reported by the CVE source.
- Oct 22, 2024Record 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=0 <4.0.1
What conditions does exploitation require?
What is affected?
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.
Public exploit references
No public exploit references are available in this record.
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Technologies
Your stack
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Your stack
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