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This site performs reverse query on the globally publicly available encryption algorithms such as md5 and sha1, and creates a plaintext ciphertext corresponding query database through exhaustive character combination. The created records are about 90 trillion, occupying more than 500 TB of hard disk. Currently, reverting SHA-512 is beyond the state of art. They’re still trying to find a collision for the weaker hash function SHA-1, which is only the first step towards reverting it. One can therefore assume that reverting SHA-512 will remain practically impossible for quiet a while.

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“It says 256-bit encryption strength… is that good?”

Most people see the term 256-bit encryption bandied about all the time and – if we’re being honest – have absolutely no idea what it means or how strong it is. Once you go beyond the surface-level, “it scrambles data and makes it unreadable,” encryption is an incredibly complicated subject. It’s not a light read. Most of us don’t keep a book about modular exponentiation on the end table beside our beds.

That’s why it’s understandable that there would be some confusion when it comes to encryption strengths, what they mean, what’s “good,” etc. There’s no shortage of questions about encryption – specifically 256-bit encryption.

Chief among them: How strong is 256-bit encryption?

So, today we’re going to talk about just that. We’ll coverwhat a bit of security even is, we’ll get into the most common form of 256-bitencryption and we’ll talk about just what it would take to crack encryption atthat strength.

Let’s hash it out.

A quick refresher on encryption, in general

When you encrypt something, you’re taking the unencrypteddata, called plaintext, and performing an algorithmic function on it to createa piece of encrypted ciphertext. The algorithm you’re using is called the key. Withthe exception of public keys in asymmetric encryption, the value of theencryption key needs to be kept a secret. The private key associated with thatpiece of ciphertext is the only practical means of decrypting it.

Now, that all sounds incredibly abstract, so let’s use an example. And we’ll leave Bob and Alice out of it, as they’re busy explaining encryption in literally every other example on the internet.

Let’s go with Jack and Diane, and let’s say that Jack wants to send Diane a message that says, “Oh yeah, life goes on.”

Jack’s going to take his message and he’s going to use an algorithmor cipher – the encryption key – to scramble the message into ciphertext. Nowhe’ll pass it along to Diane, along with the key, which can be used to decryptthe message so that it’s readable again.

As long as nobody else gets their hands on the key, theciphertext is worthless because it can’t be read.

How does modern encryption work?

Jack and Diane just demonstrated encryption at its mostbasic form. And while the math used in primitive ciphers was fairly simple –owing to the fact it had to be performed by a human – the advent of computershas increased the complexity of the math that undergirds modern cryptosystems.But the concepts are still largely the same.

A key, or specific algorithm, is used to encrypt the data,and only another party with knowledge of the associated private key can decryptit.

In this example, rather than a written message that bleakly opines that life continues even after the joy is lost, Jack and Diane are ‘doing the best they can’ on computers (still ‘holdin’ on to 16’ – sorry, these are John Mellencamp jokes that probably make no sense outside of the US). Now the encryption that’s about to take place is digital.

Jack’s computer will use its key, which is really an extremely complicated algorithm that has been derived from data shared by Jack and Diane’s devices, to encrypt the plaintext. Diane uses her matching symmetric key to decrypt and read the data.

But what’s actually getting encrypted? How do you encrypt “data?”

In the original example there were actual letters on a physical piece of paper that were turned into something else. But how does a computer encrypt data?

That goes back to the way that computers actually deal in data. Computers store information in binary form. 1’s and 0’s. Any data input into a computer is encoded so that it’s readable by the machine. It’s that encoded data, in its raw form, that gets encrypted. This is actually part of what goes into the different file types used by SSL/TLS certificates, it’s partially contingent on what type of encoding scheme you’re trying to encrypt.

So Jack’s computer encrypts the encoded data and transmitsit to Diane’s computer, which uses the associated private key to decrypt and readthe data.

Again, as long as the private key stays, you know… private,the encryption remains secure.

Modern encryption has solved the biggest historical obstacle to encryption: key exchange. Historically, the private key had to be physically passed off. Key security was literally a matter of physically storing the key in a safe place. Key compromise not only rendered the encryption moot, it could get you killed.

In the 1970s a trio of cryptographers, Ralph Merkle,Whitfield Diffie and Martin Hellman, began working on a way to securely sharean encryption key on an unsecure network with an attacker watching. They succeededon a theoretical level, but were unable to come up with an asymmetricencryption function that was practical. They also had no mechanism for authenticating(but that’s a totally different conversation). Merkle came up with the initialconcept, but his name is not associated with the key exchange protocol theyinvented – despite the protests of its other two creators.

About a year later Ron Rivest, Adi Shamir and Leonard Adleman created an eponymous key exchange method based on Diffie-Hellman key exchange (RSA), one that also included encryption/decryption and authentication functions. This is relevant because it was the birth of a whole new iteration of encryption: asymmetric encryption.

They also gave us the aforementioned Bob and Alice, which to me at least, makes it kind of a wash.

Anyway, understanding the difference between symmetric and asymmetric encryption is key to the rest of this discussion.

Asymmetric Encryption vs. Symmetric Encryption

Symmetric encryption is sometimes called private key encryption, because both parties must share a symmetric key that can be used to both encrypt and decrypt data.

Asymmetric encryption on the other hand is sometimes called public key encryption. A better way to think of asymmetric encryption might be to think of it like one-way encryption.

As opposed to both parties sharing a private key, there is a key pair. One party possess a public key that can encrypt, the other possesses a private key that can decrypt.

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Asymmetric encryption is used primarily as a mechanism for exchanging symmetric private keys. There’s a reason for this, asymmetric encryption is historically a more expensive function owing to the size of its keys. So public key cryptography is used more as an external wall to help protect the parties as they facilitate a connection, while symmetric encryption is used within the actual connection itself.

2048-bit keys vs. 256-bit keys

In SSL/TLS, asymmetric encryption serves one, extremely important function. It lets the client encrypt the data that will be used by both parties to derive the symmetric session keys they’ll use to communicate. You could never use asymmetric encryption to functionally communicate. While the public key can be used to verify a digital signature, it can’t outright decrypt anything that the private key encrypts, hence we call asymmetric encryption “one way.”

But the bigger issue is the key size makes the actual encryption and decryption functions expensive in terms of the CPU resources they gobble up. This is why many larger organizations and enterprises, when deploying SSL/TLS at scale, offload the handshakes: to free up resources on their application servers.

Instead, we use symmetric encryption for the actualcommunication that occurs during an encrypted connection. Symmetric keys aresmaller and less expensive to compute with.

So, when you see someone reference a 2048-bit private key, they’re most likely referring to an RSA private key. That’s an asymmetric key. It needs to be sufficiently resistant to attacks because it carries out such a critical function. Also, because key exchange is the best attack vector for compromising a connection. It’s much easier to steal the data used to create the symmetric session key and calculate it yourself than to have to crack the key by brute force after it’s already in use.

That begs the question: “How strong IS 256-bit encryption?”If it’s less robust than a 2048-bit key, is it still sufficient? And we’regoing to answer that, but first we need to cover a little more ground for thesake of providing the right context.

What exactly is a “bit” of security?

It’s really important that we discuss bits of security andcomparing encryption strength between algorithms before we actually get intoany practical discussion of how strong 256 bits of security actually is.Because it’s not a 1:1 comparison.

For instance, a 128-bit AES key, which is half the current recommendedsize, is roughly equivalent to a 3072-bit RSA key in terms of the actualsecurity they provide.

It’s also important to understand the difference betweensecurity claim and security level.

Decrypt Sha512 Salted Hash Password

  • Security Claim – This is the security level that cryptographic primitive – the cipher or hash function in question – was initially designed to achieve.
  • Security Level – The ACTUAL strength that the cryptographic primitive achieves.

This is typically expressed in bits. A bit is a basic unit of information. It’s actually a portmanteau of “binary digit,” which is both incredibly efficient and also not so efficient. Sure, it’s easier to say bit. But I just spent an entire paragraph explaining that a bit is basically a 1 or a 0 in binary when the original term would’ve accomplished that in two words. So, you decide if it’s more efficient. Anyway, we’re not going to spend much more time on binary than we already have, but Ross wrote a great article on it a few months ago that you should check out.

Anyway, security level and security claim are typically expressed in bits. In this context, the bits of security, let’s refer to that as (n) refers to the number operations an attacker would hypothetically need to perform to guess the value of the private key. The bigger the key, the harder it is to guess/crack. Remember, this key is in 1s and 0s, so there are two potential values for each bit. The attacker would have to perform 2n operations to crack the key.

That may be a bit too abstract so here’s a quick example: Let’s say there’s a 2-bit key. That means it will have 22 (4) values.

That would be trivially easy for a computer to crack, butwhen you start to get into larger key sizes it becomes prohibitively difficult fora modern computer to correctly guess the value of a private key in any reasonableamount of time.

But before we get to the math, let’s double back to securityclaim vs. security level

Security Claim vs. Security Level

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Typically when you see encryption marketed, you’re seeing the Security Claim being advertised. That’s what the security level would be under optimal conditions. We’re going to keep this specific to SSL/TLS and PKI, but the percentage of time that the optimal conditions are present is far from 100%. Misconfigurations are commonplace, as is maintaining support for older versions of SSL/TLS and outmoded cipher suites for the sake of interoperability.

In the context of SSL/TLS, when a client arrives at a website a handshake takes place where the two parties determine a mutually agreed upon cipher suite to use. The encryption strength that you actually get is contingent upon the parameters decided on during the handshake, as well as the capabilities of the server and client themselves.

There’s a lot going on underneath the hood when you connect to a website via HTTPS. First and foremost, everyone needs to… shake hands?!

Sometimes 256-bit encryption only provides a security level of 128 bits. This is particularly common with hashing algorithms, which measure resistance to two different types of attacks:

  • Collisions – Where two different pieces of data produce the same hash value it’s called a collision and it breaks the algorithm.
  • PreImage resistance – How resistant and algorithm is to an exploit where an attacker tries to find a message with a specific hash value.

So, for instance, SHA-256 has collision resistance of 128 bits (n/2) , but PreImage resistance of 256 bits. Obviously, hashing is different from encryption but there are also plenty of similarities that make it worth mentioning.

So, how strong is 256-bit encryption?

Again, this varies based on the algorithm you’re using, and it varies from asymmetric to symmetric encryption. As we said, these aren’t 1:1 comparisons. In fact, asymmetric encryption security level isn’t really as scientific as it might seem like it should be. Asymmetric encryption is based on mathematical problems that are easy to perform one way (encryption) but exceedingly difficult to reverse (decryption). Due to that, attacks against public key, asymmetric cryptosystems are typically much faster than the brute-force style searches for key space that plague private key, symmetric encryption schemes. So, when you’re talking about the security level of public key cryptography, it’s not a set figure, but a calculation of the implementation’s computational hardness against the best, most currently well-known attack.

Symmetric encryption strength is a little easier tocalculate owing to the nature of the attacks they have to defend against.

So, let’s look at AES or Advanced Encryption Standard, which is commonly used as a bulk cipher with SSL/TLS. Bulk ciphers are the symmetric cryptosystems that actually handle securing the communication that occurs during an encrypted HTTPS connection.

There are historically two flavors: block ciphers and stream ciphers.

Block ciphers break everything they encrypt down into key-sized blocks and encrypts them. Decrypting involves piecing the blocks back together. And if the message is too short or too long, which is the majority of the time, they have to be broken up and/or padded with throwaway data to make them the appropriate length. Padding attacks are one of the most common threats to SSL/TLS.

TLS 1.3 did away with this style of bulk encryption for exactly that reason, now all ciphers must be set to stream mode. Stream ciphers encrypt data in pseudorandom streams of any length, they’re considered easier to deploy and require fewer resources. TLS 1.3 has also done away with some insecure stream ciphers, like RC4, too.

So, long story short, there are really only two suggested bulkciphers nowadays, AES and ChaCha20. We’re going to focus on AES right nowbecause ChaCha20 is a different animal.

TLS 1.2 Recommended Ciphers


TLS 1.3 Recommended Ciphers

  • TLS_AES_256_GCM_SHA384
  • TLS_CHACHA20_POLY1305_SHA256
  • TLS_AES_128_GCM_SHA256
  • TLS_AES_128_CCM_8_SHA256
  • TLS_AES_128_CCM_SHA256

GCM stands for Galois Counter Mode, which allows AES – which is actually a block cipher – run in stream mode. CCM is similar, combing a counter mode with a message authentication functions.

As we covered, you can actually safely run AES in GCM or CCM with 128-bit keys and be fine. You’re getting equivalent of 3072-bit RSA in terms of the security level. But we typically suggest going with 256-bit keys so that you maintain maximum computational hardness for the longest period of time.

So, let’s look at those 256-bit keys. A 256-bit key can have2256 possible combinations. As we mentioned earlier, a two-bit keywould have four possible combinations (and be easily crackable by a two-bitcrook). We’re dealing in exponentiation here though, so each time you raise theexponent, n, you increase the number of possible combinations wildly. 2256is 2 x 2, x 2, x 2… 256 times.

As we’ve covered, the best way to crack an encryption key is ‘brute-forcing,’ which is basically just trial & error in simple terms. So, if the key length is 256-bit, there would be 2256 possible combinations, and a hacker must try most of the 2256 possible combinations before arriving at the conclusion. It likely won’t take all trying all of them to guess the key – typically it’s about 50% – but the time it would take to do this would last way beyond any human lifespan.

A 256-bit private key will have 115,792,089,237,316,195,423,570,985,008,687,907,853,269,
984,665,640,564,039,457,584,007,913,129,639,936 (that’s 78 digits) possible combinations. No Super Computer on the face of this earth can crack that in any reasonable timeframe.

Even if you use Tianhe-2 (MilkyWay-2), the fastest supercomputer in the world, it will take millions of years to crack 256-bit AES encryption.

That figure sky-rockets even more when you try to figure out the time it would take to factor an RSA private key. A 2048-bit RSA key would take 6.4 quadrillion years (6,400,000,000,000,000 years) to calculate, per DigiCert.

Nobody has that kind of time.

Quantum Computing is going to change all of this

Now would actually be a good spot to talk a little bit about quantum encryption and the threat it poses to our modern cryptographic primitives. As we’ve just covered, computers work in binary. 1’s and 0’s. And the way bits work on modern computers is that they have to be a known value, they’re either a 1 or a 0. Period. That means that a modern computer can only guess once at a time.

Obviously, that severely limits how quickly it can bruteforce combinations in an effort to crack a private key.

Quantum Computers will have no such limitations. Now, two things, first of all quantum computing is still about 7-10 years from viability, so we’re still a ways off. Some CAs, like DigiCert, have begun to put post-quantum digital certificates on IoT devices that will have long lifespans to try and preemptively secure them against quantum computing, but other than that we’re still in the research phase when it comes to quantum-proof encryption.

The issue is that quantum computers don’t use bits, they use quantum bits or qubits. A quantum bit can be BOTH a 1 and a 0 thanks to a principle called superposition, which is a little more complicated than we’re going to get today. Qubits give quantum computers the power to exponentiate their brute force attacks, which effectively cancels out the computational hardness provided by the exponentiation that took place with the cryptographic primitive. A four Qubit computer can effectively be in four different positions (22) at once. It’s 2n once again, so a Quantum Computer with n qubits can try 2n combinations simultaneously. Bristlecone, which has 72 qubits, can try 272 (4,722,366,482,869,645,213,696) values at once.

Again, we’re still a ways from that and the quantum computer would have to figure out how to successfully run Shor’s algorithm, another topic for another day, so this is still largely theoretical.

Still, suddenly 4.6 quadrillion years doesn’t seem like such a long time.

Let’s wrap this up…

256-bit encryption is fairly standard in 2019, but everymention of 256-bit encryption doesn’t refer to the same thing. Sometimes256-bits of encryption only rises to a security level of 128 bits. Sometimeskey size and security level are intrinsically linked while other times one isjust used to approximate the other.

So the answer to “how strong is 256 bit encryption” isn’t one with a clear cut answer. At least not all time the time.

In the context of SSL/TLS though, it most commonly refers toAES encryption, where 256 bits really does mean 256 bits. And, at least for thetime being, that 256-bit encryption is still plenty strong.

By the time an attacker using a modern computer is able tocrack a 256-bit symmetric key, not only will it have been discarded, you’llhave likely replaced the SSL/TLS certificate that helped generate it, too.

Long story short, the biggest threat to your encryption and your encryption keys is still mismanagement, the technology behind them is sound.

As always, leave any comments or questions below…

This article was originally written by Jay Thakkar in 2017, it has been re-written for 2019 by Patrick Nohe.


I am currently studying AES algorithm and writing a Code using Python.I am trying to add 'Salt' into the user input password,

Here is what I am doing,

I've added comments above for better understanding.

If the 32-byte salt is equal to

then Password + Salt[:16] would be

If I then create its digest using sha512,

the output will be

How am I supposed to recover the original password — which is Sufiyan Ghori — from this fixed-length hash value now?

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Sufiyan GhoriSufiyan Ghori
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1 Answer


You cannot recover the password from the hash. That's not something that password hashes are designed for — quite the opposite: with a proper password hash, the only way to recover the password given the hash is to make a guess and verify it — and the better the hashing scheme, the more costly verifying guesses is.

Passwords are used for authentication: a client attempts to prove its authenticity to a verifier by proving that it knows the password. The client knows the password and does not need to recalculate it. The verifier knows the password's hash; the client tells the verifier what it claims the password is, and the verifier computes the hash of the candidate password and compares it with the reference hash. The verifier does not need to compute the password. This works because computing the hash of the password is deterministic (the calculation always gives the same result).

A password hash needs three ingredients:

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  • Hash: a one-way function (or a good enough approximation — a function for which nobody knows how to compute inverses), so that the password cannot be recovered from the hash except with a lucky guess.
  • Salt: a unique value that makes the hash computation unique, so that adversaries wishing to break passwords cannot make computations that are useful to break many passwords at once.
  • Slowness: so that brute force attempts by an adversary who knows the hash (make a guess, compute its hash, compare it against the known hash) take an impractically long time even for practical, low-entropy passwords.

See How to securely hash passwords? for a more detailed explanation.

Your password hashing scheme has two of the three ingredients: hash and salt. Keep in mind that the salt must be saved with the hash value so that the same hash computation can be made when a client submits a candidate password. You're missing slowness, which can be achieved by making many iterations of the hash function. There are better ways of achieving slowness which also make it harder to design specialized hardware dedicated to fast password computations; again, see How to securely hash passwords? for more details.

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