Timescale pgvectorscale up to 0.9.0 type confusion

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.7$0-$5k1.22

Summaryinfo

A vulnerability was found in Timescale pgvectorscale up to 0.9.0. It has been classified as critical. This impacts an unknown function. Performing a manipulation results in type confusion. This vulnerability is identified as CVE-2026-116489. The attack can be initiated remotely. There is not any exploit available. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability classified as critical has been found in Timescale pgvectorscale up to 0.9.0. This affects an unknown code block. The manipulation with an unknown input leads to a type confusion vulnerability. CWE is classifying the issue as CWE-843. The product allocates or initializes a resource such as a pointer, object, or variable using one type, but it later accesses that resource using a type that is incompatible with the original type. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

Timescale pgvectorscale before 0.9.1 contains a type confusion vulnerability that allows low-privileged database users to corrupt memory by shadowing pgvector's vector type or operators. Attackers with CREATE privilege on the vectorscale schema can pre-create shadow objects, then build and query DiskANN indexes over crafted values to cause out-of-bounds reads and writes, disclosing memory, crashing the server, or escalating privileges.

The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2026-116489 since 10/26/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. Neither technical details nor an exploit are publicly available.

Upgrading to version 0.9.1 eliminates this vulnerability.

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 6.9
VulDB Meta Temp Score: 6.7

VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 7.5
CNA Vector (VulnCheck): 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Type confusion
CWE: CWE-843
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: pgvectorscale 0.9.1

Timelineinfo

10/26/2026 Advisory disclosed
10/26/2026 +0 days CVE reserved
10/26/2026 +0 days VulDB entry created
10/26/2026 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: github.com
Status: Confirmed

CVE: CVE-2026-116489 (🔒)
GCVE (CVE): GCVE-0-2026-116489
GCVE (VulDB): GCVE-100-426501

Entryinfo

Created: 10/26/2026 16:39
Changes: 10/26/2026 16:39 (75)
Complete: 🔍
Cache ID: 216::103

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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