Automated Threat Modeling

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
Experimental AI-Generated Content

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.

If you have feedback, questions, or notice any errors, please reach out to us.

[email protected]

Introduction

A flaw in the Amazon Redshift JDBC Driver allows remote code execution when an attacker can influence JDBC connection URL parameters. The driver can then load and execute arbitrary classes from the application classpath. Amazon Redshift is a core part of AWS analytics, and its JDBC driver ships inside a great many enterprise data pipelines and business intelligence tools. For organizations that build database connection strings dynamically, this vulnerability carries meaningful risk.

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 connects to the database through the standard JDBC application program interfaces. When the driver processes certain parameters in a JDBC connection URL, it can load and execute code from classes already present on the application classpath.

Attack Preconditions

Exploitation requires two conditions:

  1. The attacker must be able to influence or control the JDBC connection URL the application uses. This is most plausible when applications build database connection strings from external input, such as user-supplied configuration, environment variables sourced from untrusted locations, or parameters passed through web interfaces.

  2. A class that can work as an exploitation gadget must be available on the classpath of the application's JVM process. Enterprise Java applications typically bundle a wide range of libraries, so this condition is frequently satisfied.

Severity Metrics

The vulnerability is network exploitable and requires no user interaction and no prior privileges.

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

CVSS v3.1 rates the attack complexity High because exploitation needs a usable gadget class on the classpath. Under CVSS v4.0, the score rises to 9.2 (Critical), because the newer scoring model treats the vulnerability's context differently.

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 run with the privileges of the application process. In enterprise environments where the Redshift JDBC driver runs inside application servers or data pipeline orchestrators, those 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 builds connection URLs from externally influenced input may be vulnerable.

Vendor Security History

Amazon Web Services holds approximately 31 percent of the cloud infrastructure market. AWS runs a structured vulnerability management and disclosure process and publishes security bulletins to tell customers about vulnerabilities and the relevant updates.

Patching enterprise environments has not always gone smoothly for AWS. During the Log4Shell response, the first hot patches AWS released for Java applications contained critical security flaws that could be exploited for container escape and privilege escalation, and AWS had to release updated patches. Given that history, organizations should validate the 2.2.2 JDBC driver update in staging environments before deploying it broadly to production.

Mitigation

The definitive fix is to upgrade the Amazon Redshift JDBC Driver to version 2.2.2 or later. In practice, that means updating the com.amazon.redshift:redshift-jdbc42 Maven package to version 2.2.2.

Amazon also recommends patching any forked or derivative code based on the Redshift JDBC driver so that it includes the security fixes.

As a secondary defense, organizations should review their application architectures to confirm that no JDBC connection URL is built from untrusted or externally controlled input. Hardcoding connection strings, or strictly validating and sanitizing any dynamic parameters, makes this class of vulnerability harder to exploit.

Threat Intelligence

As of May 8, 2026, there is no indication of active exploitation in the wild. A security researcher identified as Fushuling discovered the vulnerability and reported it through coordinated disclosure.

Organizations should monitor AWS security bulletins for updates on this vulnerability or possible bypasses. AWS provides an RSS feed of its security bulletins that teams can integrate into a vulnerability management program. Security teams should also watch application logs for unusual JDBC connection attempts or unexpected class loading, either of which might indicate an exploitation attempt.

References

Detect & fix
what others miss

Works with
  • GitHub
  • GitLab
  • Bitbucket
  • Azure DevOps Services
  • Gerrit
  • CVS
  • Jira
  • Linear
  • Slack
  • Security Compass
Explore integrations
Security magnifying glass visualization