CVE-2026-116489: Timescale pgvectorscale type confusion in DiskANN indexing

CVE-2026-116489 · Severity: high · CVSS 7.5 · Published 2026-10-26

pgvectorscale is a PostgreSQL extension for vector search and indexing. A type confusion vulnerability allows database users with CREATE privileges to corrupt memory, crash the server, or escalate privileges by constructing malicious vector data and DiskANN indexes.

Vendors: Timescale.

Quick answers

Is CVE-2026-116489 exploited in the wild?
No. Junglewise Threat Intelligence has no report of CVE-2026-116489 being exploited in the wild.
How severe is CVE-2026-116489?
High severity, with a CVSS score of 7.5, published 26 October 2026.
Which products and versions are affected?
Timescale Pgvectorscale before 0.9.1.
Is there a fix for CVE-2026-116489?
Yes: fixed in 0.9.1. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.
How is CVE-2026-116489 attacked?
It is attacked over the network, in a software library.
Am I affected by CVE-2026-116489?
Check whether you run Timescale Pgvectorscale at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

How to fix

  • Fixed in: 0.9.1

Technical details

A type confusion vulnerability in pgvectorscale before 0.9.1 allows low-privileged database users with CREATE privilege on the vectorscale schema to shadow pgvector's vector type or operators. Attackers can pre-create shadow objects and build or query DiskANN indexes over crafted values, causing out-of-bounds reads and writes that lead to memory disclosure, server crashes, or privilege escalation.

Affected products

  • Timescale pgvectorscale before 0.9.1

Timeline

  • 2026-10-26: disclosed

References

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