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Exam 312-50v12 All Questions

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Exam 312-50v12 topic 1 question 181 discussion

Actual exam question from ECCouncil's 312-50v12
Question #: 181
Topic #: 1
[All 312-50v12 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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LordXander
7 months, 3 weeks ago
Selected Answer: A
A makes more sense for this specific case
upvoted 1 times
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qtygbapjpesdayazko
8 months, 3 weeks ago
Selected Answer: A
A. yarGen - Because it generates YARA rules from strings identified in malware files while removing strings that also appear in goodware files Is in the book
upvoted 1 times
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brrbrr
9 months ago
Selected Answer: D
The most suitable tool for generating YARA rules, complementing the Snort rules, and reinforcing the intrusion detection process, based on the given options, would be: D. AutoYara - Because it automates the generation of YARA rules from a set of malicious and benign files. AutoYara is designed to automate the generation of YARA rules by analyzing both malicious and benign files. It facilitates the creation of YARA rules based on patterns and characteristics found in the files, helping to identify and detect similar patterns in other files. This tool can be valuable for enhancing the rule-based approach of an Intrusion Detection System (IDS) by generating rules that are specific to the organization's threat landscape. While other tools mentioned (yarGen, Koodous, YaraRET) also have their specific use cases, AutoYara is more aligned with the objective of automatically generating YARA rules from both malicious and benign files, which can be particularly useful for a comprehensive intrusion detection strategy.
upvoted 1 times
Lalo
8 months ago
In this case, the scenario is that the "best rule-based approach" is selected and not a flexible, customizable tool.
upvoted 1 times
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Lalo
8 months ago
Answer A The choice between YARGen and AutoYARA depends on your specific use case and requirements. If your primary focus is on generating YARA rules specifically for malware samples, YARGen may be the better choice. However, if you need a more versatile tool that can generate rules from various input sources and provide greater customization options, AutoYARA might be more suitable. Consider evaluating both tools based on your needs and preferences to determine which one best complements your Snort deployment.
upvoted 1 times
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insaniunt
9 months, 2 weeks ago
Selected Answer: A
yarGen yarGen is used for generating YARA rules from strings identified in malware files while removing all strings that also appear in goodware files
upvoted 1 times
insaniunt
9 months, 2 weeks ago
Module 12 Page 1642
upvoted 3 times
qtygbapjpesdayazko
8 months, 3 weeks ago
this is the day
upvoted 1 times
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qwerty100
9 months, 2 weeks ago
Selected Answer: A
It's A A. yarGen - Because it generates YARA rules from strings identified in malware files while removing strings that also appear in goodware files A. yarGen: Generates YARA rules from malware and goodware strings to aid in malware detection. B. Koodous: A collaborative platform for Android malware analysis and community-driven threat intelligence. C. YaraRET: A tool for forensic analysis and reverse engineering, searching for patterns with YARA rules. D. AutoYara: Automates YARA rule generation from malware samples for efficient threat detection.
upvoted 1 times
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A (35%)
C (25%)
B (20%)
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