300-215 Question 29
Select 3During a forensic investigation, you are tasked with identifying a malware sample's characteristics and documenting its behavior using YARA rules. Which aspects of YARA rules make them effective for malware identification, classification, and documentation?
- A
YARA rules use textual or binary patterns to match specific characteristics of malware.
- B
YARA rules can only identify malware that is already known and documented in threat databases.
- C
YARA rules can classify malware families based on shared behavioral or structural traits.
- D
YARA rules include metadata fields to document information like authorship, version, and purpose of the rule.
- E
YARA rules automatically remediate malware by removing it from infected systems.
Show answer and explanation
Correct answers: A, C, D
Explanation
YARA rules are highly versatile in forensic analysis, enabling malware identification through pattern matching, classification into families based on traits, and documentation using metadata fields. However, their purpose is limited to detection and documentation; they do not include remediation capabilities. This makes them a key tool for analyzing and understanding malware during an investigation.
- A. Correct.
Correct: YARA rules rely on patterns and signatures, including textual and binary strings, to detect specific malware characteristics effectively.
- B. Incorrect.
Incorrect: While YARA rules are useful for identifying known threats, they can also be designed to detect new variants if the rules are based on broader patterns or shared traits.
- C. Correct.
Correct: YARA rules can classify malware into families by identifying shared characteristics, making them a powerful tool for classification and analysis.
- D. Correct.
Correct: YARA rules allow the inclusion of metadata fields, which help document vital details such as the rule's purpose, author, and version.
- E. Incorrect.
Incorrect: YARA rules are designed for detection and classification, not for automatic remediation or removal of malware.