CVE-2024-32888

Published May 15, 2024

Last updated 2 months ago

CVSS critical 10.0
Amazon Redshift

Overview

Description
The Amazon JDBC Driver for Redshift is a Type 4 JDBC driver that provides database connectivity through the standard JDBC application program interfaces (APIs) available in the Java Platform, Enterprise Editions. Prior to version 2.1.0.28, SQL injection is possible when using the non-default connection property `preferQueryMode=simple` in combination with application code which has a vulnerable SQL that negates a parameter value. There is no vulnerability in the driver when using the default, extended query mode. Note that `preferQueryMode` is not a supported parameter in Redshift JDBC driver, and is inherited code from Postgres JDBC driver. Users who do not override default settings to utilize this unsupported query mode are not affected. This issue is patched in driver version 2.1.0.28. As a workaround, do not use the connection property `preferQueryMode=simple`. (NOTE: Those who do not explicitly specify a query mode use the default of extended query mode and are not affected by this issue.)
Source
security-advisories@github.com
NVD status
Deferred

Risk scores

CVSS 3.1

Type
Secondary
Base score
10
Impact score
6
Exploitability score
3.9
Vector string
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
Severity
CRITICAL

Weaknesses

security-advisories@github.com
CWE-89

Social media

Hype score
Not currently trending

Related CVEs

  1. Unsafe use of Python's eval() on server-received data in the vector_in() function in amazon-redshift-python-driver before 2.1.14 allows a rogue server or man-in-the-middle actor to execute arbitrary code on the client. To remediate this issue, users should upgrade to version 2.1.14.•CVE-2026-8838
  2. An issue exists in Amazon Redshift JDBC Driver versions prior to 2.2.2. Under certain conditions, the driver could load and execute arbitrary classes when processing JDBC connection URL parameters. An actor who can influence the connection URL could potentially execute code in the application context, provided a suitable class is available on the application's classpath. To mitigate this issue, users should upgrade to version 2.2.2 or later.•CVE-2026-8178
  3. Linux Kernel Incorrect Resource Transfer Between Spheres Vulnerability•CVE-2026-31431
  4. Issue summary: Parsing CMS AuthEnvelopedData or EnvelopedData message with maliciously crafted AEAD parameters can trigger a stack buffer overflow. Impact summary: A stack buffer overflow may lead to a crash, causing Denial of Service, or potentially remote code execution. When parsing CMS (Auth)EnvelopedData structures that use AEAD ciphers such as AES-GCM, the IV (Initialization Vector) encoded in the ASN.1 parameters is copied into a fixed-size stack buffer without verifying that its length fits the destination. An attacker can supply a crafted CMS message with an oversized IV, causing a stack-based out-of-bounds write before any authentication or tag verification occurs. Applications and services that parse untrusted CMS or PKCS#7 content using AEAD ciphers (e.g., S/MIME (Auth)EnvelopedData with AES-GCM) are vulnerable. Because the overflow occurs prior to authentication, no valid key material is required to trigger it. While exploitability to remote code execution depends on platform and toolchain mitigations, the stack-based write primitive represents a severe risk. The FIPS modules in 3.6, 3.5, 3.4, 3.3 and 3.0 are not affected by this issue, as the CMS implementation is outside the OpenSSL FIPS module boundary. OpenSSL 3.6, 3.5, 3.4, 3.3 and 3.0 are vulnerable to this issue. OpenSSL 1.1.1 and 1.0.2 are not affected by this issue.•CVE-2025-15467
  5. Improper Control of Generation of Code ('Code Injection') vulnerability in Progress DataDirect Connect for JDBC drivers, Progress DataDirect Open Access JDBC driver and Hybrid Data Pipeline allows Remote Code Inclusion. The SpyAttribute connection option implemented by the DataDirect Connect for JDBC drivers, DataDirect Hybrid Data Pipeline JDBC driver and the DataDirect OpenAccess JDBC driver supports an undocumented syntax construct for the option value that if discovered can be used by an attacker. If an application allows an end user to specify a value for the SpyAttributes connection option then an attacker can use the undocumented syntax to cause the driver to load an arbitrary class on the class path and execute a constructor on that class.   This issue affects: DataDirect Connect for JDBC for Amazon Redshift: through 6.0.0.001392, fixed in 6.0.0.001541 DataDirect Connect for JDBC for Apache Cassandra: through 6.0.0.000805, fixed in 6.0.0.000833 DataDirect Connect for JDBC for Hive: through 6.0.1.001499, fixed in 6.0.1.001628 DataDirect Connect for JDBC for Apache Impala: through 6.0.0.001155, fixed in 6.0.0.001279 DataDirect Connect for JDBC for Apache SparkSQL: through 6.0.1.001222, fixed in 6.0.1.001344 DataDirect Connect for JDBC Autonomous REST Connector: through 6.0.1.006961, fixed in 6.0.1.007063 DataDirect Connect for JDBC for DB2: through 6.0.0.000717, fixed in 6.0.0.000964 DataDirect Connect for JDBC for Google Analytics 4: through 6.0.0.000454, fixed in 6.0.0.000525 DataDirect Connect for JDBC for Google BigQuery: through 6.0.0.002279, fixed in 6.0.0.002410 DataDirect Connect for JDBC for Greenplum: through 6.0.0.001712, fixed in 6.0.0.001727 DataDirect Connect for JDBC for Informix: through 6.0.0.000690, fixed in 6.0.0.0851 DataDirect Connect for JDBC for Microsoft Dynamics 365: through 6.0.0.003161, fixed in 6.0.0.3198 DataDirect Connect for JDBC for Microsoft SQLServer: through 6.0.0.001936, fixed in 6.0.0.001957 DataDirect Connect for JDBC for Microsoft Sharepoint: through 6.0.0.001559, fixed in 6.0.0.001587 DataDirect Connect for JDBC for MongoDB: through 6.1.0.001654, fixed in 6.1.0.001669 DataDirect Connect for JDBC for MySQL: through 5.1.4.000330, fixed in 5.1.4.000364 DataDirect Connect for JDBC for Oracle Database: through 6.0.0.001747, fixed in 6.0.0.001776 DataDirect Connect for JDBC for Oracle Eloqua: through 6.0.0.001438, fixed in 6.0.0.001458 DataDirect Connect for JDBC for Oracle Sales Cloud: through 6.0.0.001225, fixed in 6.0.0.001316 DataDirect Connect for JDBC for Oracle Service Cloud: through 5.1.4.000298, fixed in 5.1.4.000309 DataDirect Connect for JDBC for PostgreSQL: through 6.0.0.001843, fixed in 6.0.0.001856 DataDirect Connect for JDBC for Progress OpenEdge: through 5.1.4.000187, fixed in 5.1.4.000189 DataDirect Connect for JDBC for Salesforce: through 6.0.0.003020, fixed in 6.0.0.003125 DataDirect Connect for JDBC for SAP HANA: through 6.0.0.000879, product retired DataDirect Connect for JDBC for SAP S/4 HANA: through 6.0.1.001818, fixed in 6.0.1.001858 DataDirect Connect for JDBC for Sybase ASE: through 5.1.4.000161, fixed in 5.1.4.000162 DataDirect Connect for JDBC for Snowflake: through 6.0.1.001821, fixed in 6.0.1.001856 DataDirect Hybrid Data Pipeline Server: through 4.6.2.3309, fixed in 4.6.2.3430 DataDirect Hybrid Data Pipeline JDBC Driver: through 4.6.2.0607, fixed in 4.6.2.1023 DataDirect Hybrid Data Pipeline On Premises Connector: through 4.6.2.1223, fixed in 4.6.2.1339 DataDirect Hybrid Data Pipeline Docker: through 4.6.2.3316, fixed in 4.6.2.3430 DataDirect OpenAccess JDBC Driver: through 8.1.0.0177, fixed in 8.1.0.0183 DataDirect OpenAccess JDBC Driver: through 9.0.0.0019, fixed in 9.0.0.0022•CVE-2025-10702

References

Sources include official advisories and independent security research.