WP Grids WP Wand Plugin up to 1.3.07 on WordPress authorization

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
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CTI Interest Score
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6.1$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in WP Grids WP Wand Plugin up to 1.3.07 on WordPress. This impacts an unknown function. This manipulation causes authorization. This vulnerability is registered as CVE-2026-25391. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability was found in WP Grids WP Wand Plugin up to 1.3.07 on WordPress. It has been declared as critical. Affected by this vulnerability is an unknown functionality. The manipulation with an unknown input leads to a authorization vulnerability. The CWE definition for the vulnerability is CWE-862. The product does not perform an authorization check when an actor attempts to access a resource or perform an action. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

Missing Authorization vulnerability in WP Grids WP Wand ai-content-generation allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects WP Wand: from n/a through <= 1.3.07.

The weakness was published by Nabil Irawan. It is possible to read the advisory at patchstack.com. This vulnerability is known as CVE-2026-25391 since 02/02/2026. The exploitation appears to be easy. The attack can be launched remotely. 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 02/19/2026).

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

Type

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.3
VulDB Meta Temp Score: 6.1

VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

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

Exploitinginfo

Class: Authorization
CWE: CWE-862 / CWE-863 / CWE-285
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

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

02/02/2026 CVE reserved
02/19/2026 +17 days Advisory disclosed
02/19/2026 +0 days VulDB entry created
02/19/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: patchstack.com
Researcher: Nabil Irawan
Status: Not defined

CVE: CVE-2026-25391 (🔒)
GCVE (CVE): GCVE-0-2026-25391
GCVE (VulDB): GCVE-100-346795

Entryinfo

Created: 02/19/2026 12:15
Changes: 02/19/2026 12:15 (54)
Complete: 🔍
Cache ID: 216::103

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

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