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cpe:2.3:a:apache:polaris:*:*:*:*:*:*:*:*

part: a version: * update: *

VendorApache (b0303047-b7dd-5cf8-abcc-71b7d9d80b95)
ProductPolaris (14a87908-da61-5720-a8da-7b5b37428ac7)
Edition*
Language*
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Notes

Imported from purl2cpe mapping

PURL mappings

PURLSourceLast updated
pkg:apache/polaris purl2cpe 2026-06-01 10:14:31.519491
pkg:github/apache/polaris purl2cpe 2026-07-28 16:41:03.495501

Vulnerability references

IdentifiercpeApplicabilitySubmitteddb.gcve.eu detailsRationale
CVE:CVE-2026-42812 vulnerable 2026-06-08 08:03:16.705137 db.gcve.eu details are currently unavailable. Imported from gcve-enriched-dumps CVE data
CVE:CVE-2026-42811 vulnerable 2026-06-08 08:03:16.704713 Apache Polaris: could broaden vended GCS credentials through unescaped identifier content in access-boundary CEL conditions
CRITICAL (9.9)
In plain terms, Apache Polaris is supposed to issue short-lived GCS credentials that only work for one table's files, but a crafted namespace or table name can cause those credentials to work across the configured bucket instead. Apache Polaris builds Google Cloud Storage downscoped credentials by creating a Credential Access Boundary (CAB) with CEL conditions that are intended to restrict access to the requested table's storage path. The relevant CEL string is built from the bucket name and the table path. That table path is derived from namespace and table identifiers. In current code, that path appears to be inserted into the CEL expression without escaping. As a result, a namespace or table identifier containing a single quote and other URI-safe CEL fragments can break out of the intended quoted string and change the meaning of the CEL condition. In private testing against Polaris 1.4.0 on real Google Cloud Storage, it was confirmed that Polaris accepted a crafted identifier and returned delegated GCS credentials whose CEL path restriction had effectively collapsed. Those delegated credentials could then: - list another table's object prefix; - read another table's metadata control file (Iceberg metadata JSON); - create and delete an object under another table's object prefix; - and also list, read, create, and delete objects under an unrelated external prefix in the same bucket that was not part of any table path. That last point is important. The issue is not limited to "another table". In the confirmed setup, once Apache Polaris returned credentials for the crafted table, the path restriction inside the configured bucket was effectively gone. The practical effect is that temporary credentials for one crafted table can be broader than the table Polaris was asked to authorize, and can become effectively bucket-wide within the configured bucket. The current GCS testing used a Polaris principal with broad catalog privileges for setup. A separate least-privilege Polaris RBAC variant has not yet been tested on GCS. However, the storage-credential broadening behavior itself has been confirmed on GCS.
Published: 2026-05-04T16:37:02.030Z
Updated: 2026-05-04T19:48:33.457Z
Reference links
Imported from gcve-enriched-dumps CVE data
CVE:CVE-2026-42810 vulnerable 2026-06-08 08:03:16.704082 Apache Polaris: could broaden vended S3 credentials through wildcard-bearing namespace or table names
CRITICAL (9.9)
Apache Polaris accepts literal `*` characters in namespace and table names. When it later builds temporary S3 access policies for delegated table access, those same characters appear to be reused unescaped in S3 IAM resource patterns and `s3:prefix` conditions. In S3 IAM policy matching, `*` is treated as a wildcard rather than as ordinary text. That means temporary credentials issued for one crafted table can match the storage path of a different table. In private testing against Polaris 1.4.0 using Polaris' AWS S3 temporary- credential path on both MinIO and real AWS S3, credentials returned for crafted tables such as `f*.t1`, `f*.*`, `*.*`, and `foo.*` could reach other tables' S3 locations. The confirmed behavior includes: - reading another table's metadata control file ([Iceberg metadata JSON]); - listing another table's exact S3 table prefix ([table prefix]); - and, when write delegation was returned for the crafted table, creating and deleting an object under another table's exact S3 table prefix. A control case using ordinary different names did not allow the same cross-table access. A least-privilege AWS S3 variant was also confirmed in which the attacker principal had no Polaris permissions on the victim table and only the minimal permissions required to create and use a crafted wildcard table (namespace-scoped `TABLE_CREATE` and `TABLE_WRITE_DATA` on `*`). In that setup, direct Polaris access to `foo.t1` remained forbidden, but the attacker could still create and load `*.*`, receive delegated S3 credentials, and use those credentials to list, read, create, and delete objects under `foo.t1`. In Iceberg, the metadata JSON file is a control file: it tells readers which data files belong to the table, which snapshots exist, and which table version to read. So unauthorized access to it is already a meaningful confidentiality problem. The confirmed write-capable variant means the issue is not limited to disclosure.
Published: 2026-05-04T16:48:49.754Z
Updated: 2026-05-04T18:33:09.056Z
Reference links
Imported from gcve-enriched-dumps CVE data
CVE:CVE-2026-42809 vulnerable 2026-06-08 08:03:16.703589 Apache Polaris: staged table creation could vend storage credentials for unvalidated locations
CRITICAL (9.9)
Apache Polaris can issue broad temporary ("vended") storage credentials during staged table creation before the effective table location has been validated or durably reserved. Those temporary credentials are meant to limit the scope of accessible table data and metadata, but this scope limitation becomes attacker- directed because the attacker can choose a reachable target location. In the confirmed variant, if the caller supplies a custom `location` during stage create and requests credential vending, Apache Polaris uses that location to construct delegated storage credentials immediately. The stage-create path itself neither runs the normal location validation nor the overlap checks before those credentials are issued. Closely related to that, the staged-create flow also accepts `write.data.path` / `write.metadata.path` in the request properties and feeds those location overrides into the same effective table location set used for credential vending. Those fields are secondary to the main custom-`location` exploit, but they are still attacker-influenced location inputs that should be validated before any credentials are issued.
Published: 2026-05-04T16:22:48.527Z
Updated: 2026-05-04T16:38:51.761Z
Reference links
Imported from gcve-enriched-dumps CVE data

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