WBW Plugins Product Filter Plugin up to 3.1.2 on WordPress sql injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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8.2$0-$5k4.23

Summaryinfo

A vulnerability identified as critical has been detected in WBW Plugins Product Filter Plugin up to 3.1.2 on WordPress. Affected by this issue is some unknown functionality. The manipulation leads to sql injection. This vulnerability is uniquely identified as CVE-2026-39494. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability was found in WBW Plugins Product Filter Plugin up to 3.1.2 on WordPress. It has been rated as critical. This issue affects some unknown functionality. The manipulation with an unknown input leads to a sql injection vulnerability. Using CWE to declare the problem leads to CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in WBW Plugins Product Filter by WBW allows Blind SQL Injection. This issue affects Product Filter by WBW: from n/a through 3.1.2.

The weakness was disclosed by Daroo. It is possible to read the advisory at patchstack.com. The identification of this vulnerability is CVE-2026-39494 since 04/07/2026. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. 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 06/12/2026). The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

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

Type

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.3
VulDB Meta Temp Score: 8.2

VulDB Base Score: 7.3
VulDB Temp Score: 7.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 9.3
CNA Vector (Patchstack): 🔒

CVSSv2info

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

Exploitinginfo

Class: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
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: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

04/07/2026 CVE reserved
06/12/2026 +66 days Advisory disclosed
06/12/2026 +0 days VulDB entry created
06/12/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: patchstack.com
Researcher: Daroo
Status: Not defined

CVE: CVE-2026-39494 (🔒)
GCVE (CVE): GCVE-0-2026-39494
GCVE (VulDB): GCVE-100-370547

Entryinfo

Created: 06/12/2026 06:34
Changes: 06/12/2026 06:34 (64)
Complete: 🔍
Cache ID: 216::103

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

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