Dimitri Grassi Salon Booking System Plugin up to 10.30.24 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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7.2$0-$5k0.91-

Summaryinfo

A vulnerability was found in Dimitri Grassi Salon Booking System Plugin up to 10.30.24 on WordPress. It has been classified as critical. Impacted is an unknown function. The manipulation leads to authorization. This vulnerability is referenced as CVE-2026-40768. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability was found in Dimitri Grassi Salon Booking System Plugin up to 10.30.24 on WordPress. It has been rated as critical. This issue affects an unknown code block. The manipulation with an unknown input leads to a authorization vulnerability. Using CWE to declare the problem leads to 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. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

Unauthenticated Insecure Direct Object References (IDOR) in Salon booking system <= 10.30.24 versions.

The weakness was published by Lubin Regnault. It is possible to read the advisory at patchstack.com. The identification of this vulnerability is CVE-2026-40768 since 04/15/2026. 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 06/17/2026).

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: 7.3
VulDB Meta Temp Score: 7.2

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

CNA Base Score: 7.3
CNA Vector (Patchstack): 🔒

CVSSv2info

AVACAuCIA
💳💳💳💳💳💳
💳💳💳💳💳💳
💳💳💳💳💳💳
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
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

04/15/2026 CVE reserved
06/17/2026 +63 days Advisory disclosed
06/17/2026 +0 days VulDB entry created
06/17/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: patchstack.com
Researcher: Lubin Regnault
Status: Not defined

CVE: CVE-2026-40768 (🔒)
GCVE (CVE): GCVE-0-2026-40768
GCVE (VulDB): GCVE-100-371915

Entryinfo

Created: 06/17/2026 13:48
Changes: 06/17/2026 13:48 (63)
Complete: 🔍
Cache ID: 216::103

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

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