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PYSEC-2026-1866
No affected components available
Summary
A SQL injection in the Amazon Redshift Python Connector in version 2.1.4 allows a user to gain escalated privileges via schema injection in the get_schemas, get_tables, or get_columns Metadata APIs. Users should upgrade to the driver version 2.1.5 or revert to driver version 2.1.3.
Impact
A SQL injection is possible in the Amazon Redshift Python Connector, version 2.1.4, when leveraging metadata APIs to retrieve information about database schemas, tables, or columns.
Impacted versions: Amazon Redshift Python Connector version 2.1.4.
Patches
The issue described above has been addressed in the Amazon Redshift Python Connector, version 2.1.5.
The patch implemented in this version ensures that every metadata command input is sent to the Redshift server as part of a parameterized query, using either QUOTE_IDENT(string) or QUOTE_LITERAL(string). After processing all the inputs into quoted identifiers or literals, the metadata command is composed using these inputs and then executed on the server.
Workarounds
Use the previous version of the Amazon Redshift Python Connector, version 2.1.3.
References
If you have any questions or comments about this advisory we ask that you contact AWS/Amazon Security via our vulnerability reporting page [1] or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue.
[1] Vulnerability reporting page: https://aws.amazon.com/security/vulnerability-reporting
The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker needs basic access or low-level privileges. The attacker needs the user to perform some action, like clicking a link. The impact is confined to the system where the vulnerability exists. There is a high impact on the confidentiality of the information. There is a high impact on the integrity of the data. There is a high impact on the availability of the system.
Exploitation activity has been observed. Apply available patches or mitigations urgently.
The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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