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Fortinet Exam FCP_FWB_AD-7.4 Topic 4 Question 13 Discussion

Actual exam question for Fortinet's FCP_FWB_AD-7.4 exam
Question #: 13
Topic #: 4
[All FCP_FWB_AD-7.4 Questions]

An attacker attempts to send an SQL injection attack containing the known attack string 'root'; -- through an API call.

Which FortiWeb inspection feature will be able to detect this attack the quickest?

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Suggested Answer: B

The quickest detection for an SQL injection attack like the one described ('root'; --) would be through known signatures. FortiWeb utilizes signature-based detection to match incoming traffic against predefined attack patterns. Since SQL injection attacks are commonly known and have specific patterns (such as 'root'; --), known signatures would immediately recognize and flag this type of attack.


Contribute your Thoughts:

Lanie
5 days ago
I remember studying that known signatures are often the quickest way to detect specific attacks like SQL injection.
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Tayna
11 days ago
This seems like a tricky one. I'll need to review the differences between the API protection features to determine which one is best suited for detecting this specific attack.
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Minna
16 days ago
Okay, let me think this through. The attack string is known, so I'm guessing a signature-based detection feature would be the fastest way to identify it.
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Joaquin
21 days ago
Ah, I've seen these SQL injection questions before. I think the key is to identify the FortiWeb feature that specializes in detecting known attack signatures.
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Carin
26 days ago
Hmm, I'm a bit unsure about this one. I'll need to carefully consider the different FortiWeb inspection features and how they might handle this type of attack.
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Gearldine
1 months ago
This looks like a straightforward SQL injection detection question. I'll focus on identifying the FortiWeb feature that can detect the known attack string the quickest.
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Michel
1 months ago
I agree with Louis, ML-based anomaly detection would be the quickest to detect the SQL injection attack.
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Louis
3 months ago
I think the answer is C) Machine learning (ML)-based API protection---anomaly detection.
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