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Amazon Redshift JDBC Driver CVE-2026-8178: Brief Summary of Remote Code Execution via Unsafe Class Loading

A brief summary of CVE-2026-8178, a high severity vulnerability in the Amazon Redshift JDBC Driver that allows remote code execution through unsafe class loading when an attacker can influence JDBC connection URL parameters.

CVE Analysis

5 min read

ZeroPath CVE Analysis
ZeroPath CVE Analysis

2026-05-08

Amazon Redshift JDBC Driver CVE-2026-8178: Brief Summary of Remote Code Execution via Unsafe Class Loading
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This CVE analysis is an experimental publication that is completely AI-generated. The content may contain errors or inaccuracies and is subject to change as more information becomes available. We are continuously refining our process.

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Introduction

A flaw in the Amazon Redshift JDBC Driver allows remote code execution when an attacker can influence JDBC connection URL parameters, potentially loading and executing arbitrary classes from the application classpath. Given that Amazon Redshift is a core component of the AWS analytics ecosystem and its JDBC driver is embedded in countless enterprise data pipelines and business intelligence tools, this vulnerability carries meaningful risk for organizations that dynamically construct database connection strings.

Technical Information

CVE-2026-8178 is classified under CWE-470: Use of Externally Controlled Input to Select Classes or Code. The Amazon Redshift JDBC Driver is a Type 4 JDBC driver that provides database connectivity through standard JDBC application program interfaces. When the driver processes certain parameters within a JDBC connection URL, it does so in a manner that can trigger the loading and execution of code from classes already present on the application classpath.

Attack Preconditions

For exploitation to succeed, two conditions must be met:

  1. Attacker influence over the connection URL. The threat actor must be able to influence or control the JDBC connection URL used by the application. This is most plausible in scenarios where applications dynamically construct database connection strings from external inputs: user supplied configuration, environment variables sourced from untrusted locations, or parameters passed through web interfaces.

  2. Suitable gadget class on the classpath. A class that can serve as an exploitation gadget must be available on the classpath of the application JVM process. In enterprise Java applications, which typically bundle a wide array of libraries, this condition is frequently satisfied.

Severity Metrics

The vulnerability requires no user interaction and no prior privileges, making it network exploitable.

Metric FrameworkBase ScoreSeverityVector String
CVSS v3.18.1HIGHCVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
CVSS v4.09.2CRITICALCVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

The attack complexity is rated High under CVSS v3.1, which accounts for the environmental constraint of needing a usable gadget class on the classpath. Under CVSS v4.0, the score rises to 9.2 (Critical), reflecting the updated scoring model's treatment of the vulnerability context.

Impact

Successful exploitation allows an attacker to:

  • Read sensitive data from the application context (high confidentiality impact)
  • Modify application state including data and configuration (high integrity impact)
  • Disrupt service availability (high availability impact)

All of these actions execute with the privileges of the application process. In enterprise environments where the Redshift JDBC driver runs within application servers or data pipeline orchestrators, these privileges can be substantial.

Affected Systems and Versions

The vulnerability affects the following:

  • Product: Amazon Redshift JDBC Driver (com.amazon.redshift:redshift-jdbc42)
  • Affected versions: All versions prior to 2.2.2
  • Fixed version: 2.2.2 (confirmed unaffected)

Any application that uses a pre-2.2.2 version of the Redshift JDBC driver and constructs connection URLs from externally influenced input is potentially vulnerable.

Vendor Security History

Amazon Web Services holds approximately 31 percent of the cloud infrastructure market. AWS maintains a structured vulnerability management and disclosure process, publishing security bulletins to notify customers of vulnerabilities and applicable updates.

However, AWS has experienced complexity in patching enterprise environments in the past. During the Log4Shell vulnerability response, initial hot patches released by AWS for Java applications contained critical security flaws that could be exploited for container escape and privilege escalation, requiring subsequent updated patches. This history is worth keeping in mind: organizations should validate the 2.2.2 JDBC driver update in staging environments before broad production deployment.

Mitigation

The definitive remediation is to upgrade the Amazon Redshift JDBC Driver to version 2.2.2 or later. Specifically, update the com.amazon.redshift:redshift-jdbc42 Maven package to version 2.2.2.

Amazon also explicitly recommends ensuring that any forked or derivative code based on the Redshift JDBC driver is patched to incorporate the security fixes.

As a secondary defense measure, organizations should review their application architectures to confirm that JDBC connection URLs are not constructed using untrusted or externally controlled input. Hardcoding connection strings or strictly validating and sanitizing any dynamic parameters reduces the exploitability of this class of vulnerability.

Threat Intelligence

As of May 8, 2026, there are no indications of active exploitation in the wild. The vulnerability was discovered and reported through a coordinated disclosure process by a security researcher identified as Fushuling.

Organizations should monitor AWS security bulletins for updates regarding this vulnerability or potential bypasses. AWS provides an RSS feed for security bulletins that can be integrated into vulnerability management programs. Security teams should also watch application logs for unusual JDBC connection attempts or unexpected class loading behavior that might indicate exploitation attempts.

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