CVE-2026-19485: Software Security Vulnerability Vulnerability

CRITICAL
Advisory Identifier: GHSA-5mff-2rmc-p8x8
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CWE-330
Published
Advisory Summary

CVE-2026-19485 is a CRITICAL security vulnerability vulnerability (CWE-330: Use of Insufficiently Random Values) affecting Software libraries in the Maven ecosystem. The weakness occurs when the product uses insufficiently random numbers or values in a security context that depends on unpredictable numbers.. Remediation is available in the latest vendor maintenance releases.

CVE-2026-19485 at a Glance

CVE Identifier CVE-2026-19485
GHSA Identifier GHSA-5mff-2rmc-p8x8
Severity CRITICAL
CVSS v3.1 Base Score N/A
CWE Classification CWE-330: Use of Insufficiently Random Values
Affected Product Software
Package Ecosystem Maven
Published Date
Last Updated

How to Fix CVE-2026-19485

To remediate this vulnerability, upgrade all affected Software dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

Verify Direct and Transitive Dependencies

Run the following command in your project directory to verify that all resolved dependencies use the patched release: 

mvn dependency:tree

How to Check if You Are Affected

To determine whether your Java application is affected by CVE-2026-19485, inspect your build dependencies using the Maven Dependency Plugin:

mvn dependency:tree

Analyze the terminal output to locate any version of Software in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than the patched release), your application is affected.

Note: The mvn dependency:tree command inspects the resolved dependency graph declared in your project's POM files; it does not perform automated security scanning or inspect runtime dynamic classpaths. Always verify runtime container classpaths and shaded JARs.

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-330: Use of Insufficiently Random Values, where the product uses insufficiently random numbers or values in a security context that depends on unpredictable numbers. In Software, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.

Source Advisory Statement

A Predictable Resource Name vulnerability in BigQuery Import Staging in Google Cloud Vertex AI Search for Commerce versions prior to 2026-04-27 on Google Cloud Platform allows an attacker knowing the victim's project number to obtain read/write access to staged data and error logs using predictable bucket names. This vulnerability was patched and no customer action is needed.

References

NVD — CVE-2026-19485 NVD
https://nvd.nist.gov/vuln/detail/CVE-2026-19485
unit42.paloaltonetworks.com/hijacking-vertex-ai... WEB
https://unit42.paloaltonetworks.com/hijacking-vertex-ai-model

Frequently Asked Questions

What is CVE-2026-19485?
CVE-2026-19485 is a security vulnerability in Software classified as a security vulnerability vulnerability under CWE-330: Use of Insufficiently Random Values.
Which Software versions are affected?
Affected versions include releases prior to current release patches.
What version fixes CVE-2026-19485?
Upgrading to current release patches (or the latest patched release for your respective branch) resolves the vulnerability.
What CWE is associated with CVE-2026-19485?
CVE-2026-19485 is classified under CWE-330: Use of Insufficiently Random Values (The product uses insufficiently random numbers or values in a security context that depends on unpredictable numbers.).
How can I check Maven dependencies for CVE-2026-19485?
Run the dependency tree command: 'mvn dependency:tree'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.
Machine-readable OSV JSON OSV v1.5 Schema
Normalized schema output
View Raw JSON 
{
  "schema_version" : "1.4.0",
  "id" : "GHSA-5mff-2rmc-p8x8",
  "modified" : "2026-08-26T21:31:40Z",
  "published" : "2026-08-26T21:31:40Z",
  "aliases" : [ "CVE-2026-19485" ],
  "details" : "A Predictable Resource Name vulnerability in BigQuery Import Staging in Google Cloud Vertex AI Search for Commerce versions prior to 2026-04-27 on Google Cloud Platform allows an attacker knowing the victim's project number to obtain read/write access to staged data and error logs using predictable bucket names.\n\n\n\nThis vulnerability was patched and no customer action is needed.",
  "severity" : [ {
    "type" : "CVSS_V4",
    "score" : "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:N/SC:H/SI:H/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:Clear"
  } ],
  "affected" : [ ],
  "references" : [ {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2026-19485"
  }, {
    "type" : "WEB",
    "url" : "https://unit42.paloaltonetworks.com/hijacking-vertex-ai-model"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-330" ],
    "severity" : "CRITICAL",
    "github_reviewed" : false,
    "github_reviewed_at" : null,
    "nvd_published_at" : "2026-08-26T19:16:49Z"
  }
}