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CND Practice Question: Incident Detection Response And Threat Prediction

An incident handler receives an alert from Snort regarding a potential SQL injection attack against a web application. The alert shows a signature matching 'SELECT * FROM users WHERE'. Which type of detection methodology is Snort primarily utilizing in this scenario?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Signature-based detection

Snort uses signature-based detection (pattern matching) to identify known attack patterns in network traffic.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Heuristic detection

    Why it's wrong here

    Heuristic detection uses rules or algorithms to look for general suspicious characteristics.

  • Behavioral analytics detection

    Why it's wrong here

    Behavioral analytics track user or entity actions over time for suspicious patterns.

  • Signature-based detection

    Why this is correct

    Signature-based detection compares network payloads against a database of known malicious rules.

  • Anomaly-based detection

    Why it's wrong here

    Anomaly detection flags deviations from a baseline, not specific known string patterns.

About these practice questions

One of 323 original CND practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →

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JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed August 2026 · checked against the official EC-Council exam blueprint

This CND practice question is part of Courseiva's free EC-Council certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the CND exam.