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Cisco 300-220 Certification is valuable for individuals who are looking to advance their careers in the cybersecurity industry. It is also a valuable asset for organizations that want to hire cybersecurity professionals with the necessary skills and knowledge to defend against cyber threats. By earning this certification, professionals can demonstrate their commitment to staying up-to-date with the latest cybersecurity technologies and best practices.
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Cisco 300-220 Exam covers a range of topics related to cybersecurity, including threat intelligence, security operations, network security, endpoint protection, and incident response. 300-220 exam also tests the candidate's knowledge of various Cisco technologies such as Cisco Stealthwatch, Cisco Umbrella, Cisco Firepower, and Cisco Threat Response. These technologies are essential for effective threat hunting and defense in today's complex and constantly evolving threat landscape.
NEW QUESTION # 38
Which step in the Threat Hunting Process involves using tools and methodologies to uncover potential threats?
Answer: A
NEW QUESTION # 39
Which of the following techniques involves searching for indicators of compromise (IoC) in an organization's network?
Answer: C
NEW QUESTION # 40
Which of the following is not a common indicator used in threat actor attribution?
Answer: B
NEW QUESTION # 41
In threat modeling, what does the DREAD model help organizations assess?
Answer: C
NEW QUESTION # 42
Refer to the exhibit.
The cybersecurity team at a company detects an ongoing attack directed at the web server that hosts the company website. The team analyzes the logs of the web application firewall and discovers several HTTP requests encoded in Base64. The team decodes the payloads and retrieves the HTTP requests. What did the attackers use to exploit the server?
Answer: D
Explanation:
The correct answer is SQL injection. The decoded HTTP request shown in the exhibit contains multiple unmistakable indicators of a SQL injection attack, including the use of SQL keywords and functions such as SELECT, CASE, SUBSTRING, ASCII, BIN, and conditional SLEEP() statements. These elements are characteristic of time-based blind SQL injection, a technique attackers use to extract database information when direct query results are not visible.
From a professional cybersecurity perspective, the presence of expressions like:
SELECT (CASE WHEN ... THEN SLEEP(x))
SUBSTRING(password,1,1)
ASCII() and binary conversions
indicates that the attacker is probing the backend database character by character and using response timing to infer whether conditions are true or false. This is a well-known exploitation method used when error messages or query output are suppressed by the application.
The use of Base64 encoding does not represent the attack itself but rather an obfuscation technique to evade basic web application firewall (WAF) signatures and logging visibility. Encoding payloads allows attackers to bypass simple pattern-matching defenses, but once decoded, the underlying SQL injection becomes evident.
Option A (Unicode encoding) is incorrect because Unicode is commonly used for evasion, not exploitation.
Option C (directory traversal) typically involves sequences like ../ to access filesystem paths, which are not present. Option D (XSS) targets client-side script execution and would include JavaScript payloads rather than database-focused logic.
According to the MITRE ATT&CK framework, this activity maps to Initial Access - Exploit Public-Facing Application (T1190). SQL injection remains one of the most exploited vulnerabilities in public-facing applications due to poor input validation and insecure coding practices.
For threat hunters and defenders, this scenario reinforces the importance of deep payload inspection, decoding obfuscated requests, monitoring for anomalous database query behavior, and enforcing secure development practices such as parameterized queries and input sanitization. SQL injection continues to be a high-impact, real-world attack vector despite being well understood, making it a critical focus area in web application threat hunting.
NEW QUESTION # 43
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