CVE-2017-17994

LOW3.5/ 10.0
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Published: December 30, 2017 at 04:29 AM
Modified: April 20, 2025 at 01:37 AM
Source: cve@mitre.org

Vulnerability Description

Biometric Shift Employee Management System has XSS via the criteria parameter in an index.php?user=competency_criteria request.

CVSS Metrics

Base Score
3.5
Severity
LOW
Vector String
AV:N/AC:M/Au:S/C:N/I:P/A:N

Weaknesses (CWE)

Source: nvd@nist.gov

AI Security Analysis

01 // Technical Summary

Biometric Shift Employee Management System is vulnerable to Cross-Site Scripting (XSS), allowing attackers to inject malicious scripts into the application. Successful exploitation could lead to session hijacking, data theft, or defacement, impacting the confidentiality and integrity of employee data and potentially the organization's reputation.

02 // Vulnerability Mechanism

Step 1: Craft the Malicious URL: The attacker constructs a URL containing a malicious JavaScript payload within the criteria parameter. For example: index.php?user=competency_criteria&criteria=<script>alert('XSS')</script>. Step 2: Victim Interaction: The attacker lures a legitimate user (e.g., an employee) to click on the crafted URL, potentially through phishing, social engineering, or other means. Step 3: Server Processing: The server receives the request and, due to the vulnerability, processes the criteria parameter without proper sanitization. Step 4: Payload Execution: The server renders the response, including the unsanitized criteria parameter. The victim's browser interprets the injected JavaScript payload and executes it within the context of the Biometric Shift Employee Management System's domain. Step 5: Exploitation: The injected JavaScript executes, allowing the attacker to perform actions such as stealing session cookies, redirecting the user to a malicious site, or modifying the content of the page.

03 // Deep Technical Analysis

The vulnerability stems from insufficient input validation and output encoding of the criteria parameter within the index.php?user=competency_criteria request. The application fails to properly sanitize user-supplied input before rendering it in the response, allowing attackers to inject arbitrary JavaScript code. This lack of proper input validation and output encoding (e.g., HTML escaping) allows the injected script to execute within the context of the victim's browser, enabling various malicious actions. The root cause is a missing or inadequate implementation of security best practices related to handling user-supplied data in web applications.

CVE-2017-17994 - LOW Severity (3.5) | Free CVE Database | 4nuxd