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Exam 312-50v13 All Questions

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Exam 312-50v13 topic 1 question 181 discussion

Actual exam question from ECCouncil's 312-50v13
Question #: 181
Topic #: 1
[All 312-50v13 Questions]

An organization has been experiencing intrusion attempts despite deploying an Intrusion Detection System (IDS) and Firewalls. As a Certified Ethical Hacker, you are asked to reinforce the intrusion detection process and recommend a better rule-based approach. The IDS uses Snort rules and the new recommended tool should be able to complement it. You suggest using YARA rules with an additional tool for rule generation. Which of the following tools would be the best choice for this purpose and why?

  • A. yarGen - Because it generates YARA rules from strings identified in malware files while removing strings that also appear in goodware files
  • B. Koodous - Because it combines social networking with antivirus signatures and YARA rules to detect malware
  • C. YaraRET - Because it helps in reverse engineering Trojans to generate YARA rules
  • D. AutoYara - Because it automates the generation of YARA rules from a set of malicious and benign files
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Suggested Answer: A 🗳️

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NikoTomas
2 weeks, 4 days ago
Selected Answer: A
Answer: A A. yarGen 🔍 yarGen is a tool that automatically generates YARA rules from binary files by extracting suspicious strings found in malware and filtering out common strings found in clean software (goodware). It’s often used in malware analysis and threat hunting. B. Koodous 🌐 Koodous is a collaborative malware analysis platform that combines social interaction, antivirus engine results, and YARA rules to enable the community to analyze and label Android apps. It allows users to create and apply YARA rules to large repositories of apps. C. YaraRET 🔧 YaraRET (YARA Rule Extraction Tool) assists in reverse engineering by extracting strings, constants, and patterns from disassembled malware, helping analysts create custom YARA rules based on reverse-engineered code. D. AutoYara 🤖 AutoYara is a framework that automates the creation of YARA rules by comparing known malware samples with clean files to identify distinctive byte patterns, useful for automated signature generation at scale.
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