IBM Db2 up to 11.5.9/12.1.5 Materialized Query Table resource consumption

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
4.4$0-$5k4.69-

Summaryinfo

A vulnerability has been found in IBM Db2 up to 11.5.9/12.1.5 and classified as problematic. The affected element is an unknown function of the component Materialized Query Table. The manipulation leads to resource consumption. This vulnerability is listed as CVE-2026-104332. The attack must be carried out locally. There is no available exploit.

Detailsinfo

A vulnerability was found in IBM Db2 up to 11.5.9/12.1.5. It has been rated as problematic. This issue affects an unknown part of the component Materialized Query Table. The manipulation with an unknown input leads to a resource consumption vulnerability. Using CWE to declare the problem leads to CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. Impacted is availability. The summary by CVE is:

IBM Db2 11.5.0 through 11.5.9, and 12.1.0 through 12.1.5 is vulnerable to a denial of service when executing a specially crafted query with a Materialized Query Table

It is possible to read the advisory at ibm.com. The identification of this vulnerability is CVE-2026-104332 since 10/01/2026. The exploitation is known to be easy. Attacking locally is a requirement. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 10/12/2026).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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Version

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Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.4
VulDB Meta Temp Score: 4.4

VulDB Base Score: 3.3
VulDB Temp Score: 3.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 5.5
CNA Vector (ibm): 🔒

CVSSv2info

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

Exploitinginfo

Class: Resource consumption
CWE: CWE-400 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒

Physical: Partially
Local: Yes
Remote: No

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

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

10/01/2026 CVE reserved
10/12/2026 +11 days Advisory disclosed
10/12/2026 +0 days VulDB entry created
10/12/2026 +0 days VulDB entry last update

Sourcesinfo

Vendor: ibm.com

Advisory: ibm.com
Status: Confirmed

CVE: CVE-2026-104332 (🔒)
GCVE (CVE): GCVE-0-2026-104332
GCVE (VulDB): GCVE-100-417203

Entryinfo

Created: 10/12/2026 21:37
Changes: 10/12/2026 21:37 (62)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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