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Improper neutralization of quoting syntax in Apache Iceberg SQL identifier generation in AWS SDK for pandas

Affects awswrangler 3.5.2 up to but not including 3.17.1 where a more privileged principal also calls to_iceberg() on the same table. Fixed in 3.17.1.

Written by anthropic/claude-haiku-5.5 from the sources below. Verify against them.

7.9HighCNA
Exploited
No known exploitation
Fix
Fixed in 3.17.1
Who is exposed
Specific setups only

Do first: Check whether your setup matches what the bug needs. Affected awswrangler versions: 3.5.2 up to but not including 3.17.1 A more privileged principal invokes to_iceberg() on the affected table

Published
Last modified
Published
Not listed in CISA KEV
17/100 · provisional
Specific setups only
Fix
Fixed in 3.17.1
None on Exploit-DB, Metasploit or GitHub
  • Exploitation: none
  • Automatable: no
  • Technical impact: total

Summary

AWS SDK for pandas (also published as awswrangler) has a flaw in how its Apache Iceberg write component builds SQL identifiers, which can allow a user who can modify AWS Glue Data Catalog metadata to read tables and write to tables that a more privileged principal can access, by using a specially crafted column name.

Read the original description

Improper neutralization of quoting syntax in SQL identifier construction in the Apache Iceberg write component in AWS SDK for pandas (also published as awswrangler) 3.5.2 through 3.17.0 might allow an authenticated remote user with permission to modify AWS Glue Data Catalog metadata to read any table that a separate, more privileged principal can access and write to the table that principal is updating via a crafted column name. To remediate this issue, users should upgrade to version 3.17.1 or later.

What to do

  • Check whether your setup matches what the bug needs.

    Affected awswrangler versions: 3.5.2 up to but not including 3.17.1 A more privileged principal invokes to_iceberg() on the affected table
  • Upgrade to a fixed version: 3.17.1.

  • Workaround: Avoid calling to_iceberg() with a principal that has more privileges than the principals who can modify that table's AWS Glue Data Catalog metadata, and restrict glue:UpdateTable and related permissions on shared databases

Timeline

  1. CVE published
  2. First seen by cve.now
  3. CISA SSVC assessment

    Exploitation: none · Automatable: no · Technical impact: total

  4. Record last updated

Affected versions

  • AWS aws-sdk-pandas

    From 3.5.2 · fixed in 3.17.1

Evidence 3

  1. Advisory
  2. Advisory
  3. Patch

Corrections

None so far.

Something wrong on this page? Report an error. Every fix is listed here.

FAQ

Questions about CVE-2026-119301

What does this mean?

An authenticated user can read any table that a more privileged principal can access through to_iceberg(), and can write to the table that principal is updating.Source: github.com

Am I affected, and how do I check?

Affected versions are awswrangler 3.5.2 up to but not including 3.17.1. The setup also requires a more privileged principal invoking to_iceberg() on the affected table; the installed version can be checked with pip show awswrangler.Source: github.com

What should I do about it?

Upgrade AWS SDK for pandas to version 3.17.1 or later, which contains the fix.Source: github.com

Is it being exploited?

It is not in CISA's Known Exploited Vulnerabilities catalog, and CISA's SSVC assessment does not mark exploitation as active. That does not mean it has not been attacked: vendors and researchers can report attacks before CISA lists them. No public exploit code is tracked.Source: cve.now feed data