CSSLP · Question #191
Which of the following techniques is used to identify attacks originating from a botnet?
The correct answer is A. Passive OS fingerprinting. Passive OS fingerprinting can help identify attacks from a botnet by analyzing network traffic to determine the operating systems of the attacking machines, as botnets often comprise a diverse array of compromised systems.
Question
Which of the following techniques is used to identify attacks originating from a botnet?
Options
- APassive OS fingerprinting
- BRecipient filtering
- CIFilter
- DBPF-based filter
How the community answered
(45 responses)- A89% (40)
- B2% (1)
- C2% (1)
- D7% (3)
Why each option
Passive OS fingerprinting can help identify attacks from a botnet by analyzing network traffic to determine the operating systems of the attacking machines, as botnets often comprise a diverse array of compromised systems.
Passive OS fingerprinting analyzes network traffic without actively probing endpoints, deducing the operating systems of source hosts based on characteristic TCP/IP stack implementations. Identifying a large number of diverse or unusual operating systems originating attacks from a seemingly coordinated source can be an indicator of a botnet.
Recipient filtering is primarily used in email systems to block messages based on the recipient address, which does not identify botnet attacks.
IFilter is a component used by search engines and other applications to extract text and properties from documents, unrelated to identifying network attacks.
BPF-based filter (Berkeley Packet Filter) is a mechanism for filtering network packets based on rules, often used for traffic capture, but it's a filtering mechanism, not a technique to identify botnet attacks directly from their behavior or source OS.
Concept tested: Botnet attack identification - Passive OS fingerprinting
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