SQL Injection in Online Voting System Input Validation

A vulnerability was detected in code-projects Online Voting System 1.0. Impacted is the function test_input of the file /saveVote.php. Performing a manipulation of the argument voterName/voterEmail/voterID/selectedCandidate results in sql injection. The attack can be initiated remotely.

Casky was already ahead

This CVE exploits attack patterns that Casky's 322matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

CVE-2026-14649 exposes a critical SQL injection vulnerability in code-projects Online Voting System 1.0, specifically within the test_input function of /saveVote.php. The vulnerability allows attackers to manipulate multiple input parameters—voterName, voterEmail, voterID, and selectedCandidate—to inject arbitrary SQL commands. This flaw is particularly concerning because voting systems handle sensitive electoral data and must maintain integrity, confidentiality, and availability. Any organization deploying this online voting platform, whether for corporate governance, organizational elections, or other voting mechanisms, faces immediate risk of data exfiltration, unauthorized modification of voting records, and potential system compromise. The remote exploitability with a CVSS score of 7.3 (high) means attackers need no special access or user interaction to launch successful attacks.

Casky.ai's 322 matched security skills leverage Claude's extended reasoning to detect the attack patterns mapped to MITRE ATT&CK techniques TA0001 (Initial Access) and TA0043 (Reconnaissance). Practitioners using Casky would identify multiple detection signals: CWE-74 (Improper Neutralization of Special Elements in Output) and CWE-89 (SQL Injection) signatures in network traffic, revealing malicious SQL syntax within HTTP POST requests to /saveVote.php. The platform would correlate anomalous query patterns—such as UNION-based injection, time-based blind SQL injection, or error-based techniques—with legitimate voting data submissions. Casky's skills would specifically flag suspicious parameter manipulation attempts, highlight inadequate input sanitization in the test_input function, and surface reconnaissance activity as attackers probe for injection points. Practitioners would see prioritized findings showing which input fields lack parameterized query protection and receive actionable remediation guidance tied to secure coding practices and WAF rule configurations.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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322 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-14649.

Abuse of Public-Facing API: Mobile API Abuse

mobile security · low

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abusing-dpapi-for-credential-access

red teaming · high

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abusing-shadow-credentials-for-privesc

red teaming · high

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MITRE ATT&CK Techniques

TA0001 TA0043

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