CVE-2026-42811
Privilege Escalation in Apache Polaris via CEL Injection
Publication date: 2026-05-04
Last updated on: 2026-05-04
Assigner: Apache Software Foundation
Description
Description
CVSS Scores
EPSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| apache | polaris | 1.4.0 |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-917 | The product constructs all or part of an expression language (EL) statement in a framework such as a Java Server Page (JSP) using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended EL statement before it is executed. |
| CWE-20 | The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly. |
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?
Apache Polaris is designed to issue short-lived Google Cloud Storage (GCS) credentials that restrict access to files belonging to a single table. However, due to improper handling of namespace or table names, specifically when these contain special characters like single quotes, the credentials can be crafted to bypass these restrictions.
This happens because the table path, derived from namespace and table identifiers, is inserted into a Credential Access Boundary (CAB) expression without proper escaping. This allows an attacker to manipulate the CEL (Common Expression Language) condition that restricts access, effectively broadening the scope of the credentials.
As a result, credentials intended for one table can be used to access the entire configured bucket, allowing unauthorized listing, reading, creating, and deleting of objects across multiple tables and unrelated prefixes within the bucket.
How can this vulnerability impact me? :
This vulnerability can lead to unauthorized access and modification of data within a Google Cloud Storage bucket. Specifically, an attacker with crafted namespace or table names can obtain credentials that allow them to:
- List objects belonging to other tables.
- Read metadata control files of other tables.
- Create and delete objects under other tables' prefixes.
- Access, create, and delete objects under unrelated external prefixes within the same bucket.
This broad access can lead to data leakage, unauthorized data manipulation, and potential disruption of services relying on the integrity and confidentiality of the stored data.