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Eccouncil 212-81 Exam - Topic 3 Question 12 Discussion

Which of the following Secure Hashing Algorithm (SHA) produces a 160-bit digest from a message with a maximum length of (264-1) bits and resembles the MD5 algorithm?
C) SHA-1
A) SHA-0
B) SHA-2
D) SHA-3

Eccouncil 212-81 Exam - Topic 3 Question 12 Discussion

Actual exam question for Eccouncil's 212-81 exam
Question #: 12
Topic #: 3
[All 212-81 Questions]

Which of the following Secure Hashing Algorithm (SHA) produces a 160-bit digest from a message with a maximum length of (264-1) bits and resembles the MD5 algorithm?

Show Suggested Answer Hide Answer
Suggested Answer: C

SHA-1

https://en.wikipedia.org/wiki/SHA-1

SHA-1 (Secure Hash Algorithm 1) is a cryptographic hash function which takes an input and produces a 160-bit (20-byte) hash value known as a message digest -- typically rendered as a hexadecimal number, 40 digits long. It was designed by the United States National Security Agency, and is a U.S. Federal Information Processing Standard.

SHA-1 produces a message digest based on principles similar to those used by Ronald L. Rivest of MIT in the design of the MD2, MD4 and MD5 message digest algorithms, but generates a larger hash value (160 bits vs. 128 bits).


by Leota at Dec 08, 2022, 05:05 PM

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Osvaldo
9 months ago
I thought SHA-0 was the first one, but not sure about the details.
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Ashley
9 months ago
SHA-2 is more secure though, right?
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Kristofer
10 months ago
Wait, isn't SHA-1 considered weak now?
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Hyman
10 months ago
Totally agree, SHA-1 is the one!
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Paola
10 months ago
It's definitely SHA-1.
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Theodora
10 months ago
I’m leaning towards SHA-1 too, but I just hope I’m not mixing it up with SHA-0.
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Daniel
10 months ago
I’m a bit confused; I thought SHA-2 was the most recent one, but I guess it doesn’t fit the 160-bit requirement.
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Norah
10 months ago
I remember practicing a question about SHA algorithms, and I feel like SHA-1 was mentioned as being similar to MD5.
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Gilberto
10 months ago
I think SHA-1 is the one that produces a 160-bit digest, but I'm not completely sure.
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Vinnie
11 months ago
Okay, let's think this through step-by-step. The key is to find a balance between training time, memory usage, and model accuracy. Reducing the batch size seems like a good first step, but I'm also intrigued by the bfloat16 idea. I think I'll try both and see which one gives me the best results.
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Jeff
11 months ago
I'm a bit confused by the terminology here, but I'll do my best to apply my knowledge of MPLS and VPRNs to figure this out.
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Twanna
11 months ago
I practiced a question where containers were also mentioned, but I feel like big data analytics could be relevant too.
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