qodeinteractive Qi Blocks Plugin up to 1.4.9 on WordPress Endpoint page_id authorization

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.1$0-$5k1.33-

Summaryinfo

A vulnerability has been found in qodeinteractive Qi Blocks Plugin up to 1.4.9 on WordPress and classified as critical. This affects an unknown function of the component Endpoint. This manipulation of the argument page_id causes authorization. This vulnerability is tracked as CVE-2026-10096. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability classified as critical was found in qodeinteractive Qi Blocks Plugin up to 1.4.9 on WordPress. Affected by this vulnerability is an unknown part of the component Endpoint. The manipulation of the argument page_id with an unknown input leads to a authorization vulnerability. The CWE definition for the vulnerability is CWE-639. The system's authorization functionality does not prevent one user from gaining access to another user's data or record by modifying the key value identifying the data. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

The Qi Blocks plugin for WordPress is vulnerable to Insecure Direct Object Reference in all versions up to, and including, 1.4.9 via the 'page_id' parameter due to missing validation on a user controlled key. This makes it possible for authenticated attackers, with author-level access and above, to modify the stored Qi Blocks styles of arbitrary posts, templates, or widgets they do not own — including site-wide surfaces via the reserved 'template' and 'widget' page_id values — enabling unauthorized frontend defacement, content hiding, and degradation of any page on the site. The endpoint's permission_callback checks only the generic edit_posts and publish_posts capabilities, meaning any user with the built-in Author role satisfies the check regardless of post ownership.

The weakness was disclosed by Dmitrii Ignatyev. It is possible to read the advisory at wordfence.com. This vulnerability is known as CVE-2026-10096 since 05/29/2026. The exploitation appears to be easy. The attack can be launched remotely. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 07/01/2026).

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

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-40936). 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-639 / CWE-285 / CWE-266
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

05/29/2026 CVE reserved
07/01/2026 +33 days Advisory disclosed
07/01/2026 +0 days VulDB entry created
07/01/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: wordfence.com
Researcher: Dmitrii Ignatyev
Status: Not defined

CVE: CVE-2026-10096 (🔒)
GCVE (CVE): GCVE-0-2026-10096
GCVE (VulDB): GCVE-100-375427
EUVD: 🔒

Entryinfo

Created: 07/01/2026 10:23
Updated: 07/01/2026 12:20
Changes: 07/01/2026 10:23 (56), 07/01/2026 12:20 (1)
Complete: 🔍
Cache ID: 216::103

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

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