CVE-2026-57702
Received Received - Intake

SQL Injection in Amelia Booking System

Vulnerability report for CVE-2026-57702, including description, CVSS score, EPSS score, affected products, exploitability, helpful resources, and attack-flow context.

Publication date: 2026-07-13

Last updated on: 2026-07-13

Assigner: Patchstack

Description

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Melograno Venture Studio Amelia ameliabooking allows Blind SQL Injection.This issue affects Amelia: from n/a through <= 2.4.2.

CVSS Scores

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Meta Information

Published
2026-07-13
Last Modified
2026-07-13
Generated
2026-07-13
AI Q&A
2026-07-13
EPSS Evaluated
N/A
NVD
EUVD

Affected Vendors & Products

Showing 1 associated CPE
Vendor Product Version / Range
melograno_venture_studio amelia to 2.4.2 (inc)

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
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. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.

Attack-Flow Graph

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Executive Summary

This vulnerability is an SQL Injection issue found in Melograno Venture Studio Amelia ameliabooking. Specifically, it is a Blind SQL Injection vulnerability caused by improper neutralization of special elements used in SQL commands. This means that an attacker can manipulate SQL queries by injecting malicious input, potentially extracting or altering data without direct visibility of the database responses.

Impact Analysis

The vulnerability has a high severity with a CVSS score of 9.3, indicating it can have a significant impact. It allows remote attackers to perform Blind SQL Injection without any privileges or user interaction, potentially leading to high confidentiality impact by exposing sensitive data. Additionally, it can cause a low level of availability impact, possibly disrupting service.

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