CVE-2026-6320
May 2, 2026, 12:16 p.m.
7.5
High
Description
The Salon Booking System – Free Version plugin for WordPress is vulnerable to Arbitrary File Read in versions up to, and including, 10.30.25. This is due to the public booking flow accepting attacker-controlled file-field values and later using those stored values as trusted paths for email attachments. This makes it possible for unauthenticated attackers to read arbitrary local files and exfiltrate them via booking confirmation email attachments.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Salon Booking System |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-22
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | salon_booking_system | salon_booking_system | / | / | / | / | / | wordpress | / | / |
| a | salon_booking_system | salon_booking_system | <10.30.26 | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: NONE
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Timeline
Published: May 2, 2026, 12:16 p.m.
Last Modified: May 2, 2026, 12:16 p.m.
Last Modified: May 2, 2026, 12:16 p.m.
Status : Received
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.