Given the following RSA keys, how does one go about determining what the values of p and q are?
Public Key: (10142789312725007, 5)
Private Key: (10142789312725007, 8114231289041741)
Given the following RSA keys, how does one go about determining what the values of p and q are?
Public Key: (10142789312725007, 5)
Private Key: (10142789312725007, 8114231289041741)
Your teacher gave you:
Public Key: (10142789312725007, 5)
which means
n = 10142789312725007
e = 5
where n is the modulus and e is the public exponent.
In addition, you're given
Private Key: (10142789312725007, 8114231289041741)
meaning that
d = 8114231289041741
where d is the decryption exponent that should remain secret.
You can "break" RSA by knowing how to factor "n" into its "p" and "q" prime factors:
n = p * q
The easiest way is probably to check all odd numbers starting just below the square root of n:
Floor[Sqrt[10142789312725007]] = 100711415
You would get the first factor in 4 tries:
10142789312725007 mod 100711415 = 100711367
10142789312725007 mod 100711413 = 100711373
10142789312725007 mod 100711411 = 100711387
10142789312725007 mod 100711409 = 0 <-- Winner since it evenly divides n
So we have
p = 100711409
Now,
q = n / p
= 10142789312725007 / 100711409
= 100711423
Why is this important? It's because d is a special number such that
d = e^-1 mod phi(n)
= e^-1 mod (p-1)*(q-1)
We can verify this
d * e = 40571156445208705 = 1 mod 10142789111302176
This is important because if you have a plaintext message m then the ciphertext is
c = m^e mod n
and you decrypt it by
m = c^d = (m^e)^d = (m^(e*d)) = (m^(e*e^-1)) = m^1 (mod n)
For example, I can "encrypt" the message 123456789 using your teacher's public key:
m = 123456789
This will give me the following ciphertext:
c = m^e mod n
= 123456789^5 mod 10142789312725007
= 7487844069764171
(Note that "e" should be much larger in practice because for small values of "m" you don't even exceed n)
Anyways, now we have "c" and can reverse it with "d"
m = c^d mod n
= 7487844069764171^8114231289041741 mod 10142789312725007
= 123456789
Obviously, you can't compute "7487844069764171^8114231289041741" directly because it has 128,808,202,574,088,302 digits, so you must use the modular exponentiation trick.
In the "Real World", n is obviously much larger. If you'd like to see a real example of how HTTPS uses RSA under the covers with a 617-digit n and an e of 65537, see my blog post "The First Few Milliseconds of an HTTPS Connection."
n
. –
Eustazio Floor[Sqrt[n]]
is an int
data type. Many languages require an explicit cast! Leaving it as a float could cause the program to take hundreds of times longer to execute. –
Sphericity Here's a relatively simple way to look at it (and one that is doable by hand). If you were to factor the number completely, then the highest factor you would need to consider is sqrt(N):
sqrt(10142789312725007) = 100711415.9999997567
The first prime below this is 100711409, just 6 below the sqrt(N).
10142789312725007 / 100711409 = 100711423
therefore these are two factors of N. Your professor made it pretty easy - the trick is to recognize that no one would choose a small p or q so starting your check from the bottom (as in the python script someone posted) is a bad idea. If it's going to be practical by hand, the large p and q must lie near sqrt(N).
There are various fast algorithms to solve the problem of factoring n
given n
, e
, and d
. You can find a good description of one such algorithm in the Handbook of Applied Cryptography, Chapter 8, section 8.2.2. You can find these chapters online for free download here. The algorithm is essentially a careful elaboration of Henno Brandsma's answer to this very question.
In the comment below, user Imperishable Night suggests an alternative method that should be at least conceptually easier to understand.
He notes that usually e
is small. In fact e
is almost always 65537. In the case that e
is small you can develop a quadratic equation in the unknown prime p
and thus easily solve for it using e.g. the quadratic formula. To proceed, let's set x=p and solve for x
, to stick with convention. We know that ed = 1 mod phi(n)
, or equivalently
ed - 1 = k * (p-1)*(q-1)
. Now setting x=p
, and therefore n/x=q
, multiplying both sides by x
and rearranging terms we have
k*x2 + (d*e - k*n - k - 1)*x + k*n = 0.
Now we have an equation
of the form ax2 + bx + c = 0 and we can solve for x using the quadratic formula. So we can try values of k
in a small range around e
and there should be only one integer solution to the quadratic, the solution for the correct k.
Notes:
2*k
.g = gcd(p-1, q-1)
. g
is always even, is often 2, and is otherwise almost always a small multiple of 2.Finding k
is actually very easy when e
is small. By taking the equation
ed - 1 = k * (p-1)*(q-1)
and dividing both sides by n
it is fairly easy to see that floor((ed-1)/n) + 1 == k
. Now using equations
31 and 32 of M.J. Wiener's "Cryptanalysis of Short RSA Secret Exponents" one can directly recover p
and q
.
e
is small, which usually is the case in real applications of RSA. In those cases ed-1
is a small multiple of (p-1)(q-1)
, which should be very close to n
, so you can brute-force all the sensible values of (p-1)(q-1)
, from which and n=pq
you can solve a simple quadratic system of equations to find p
and q
. –
Woodrum Wolframalpha tells me that the factors are 100711409 and 100711423
I just wrote a naive Python script to bruteforce it. As amdfan pointed out, starting from the top is a better approach:
p = 10142789312725007
for i in xrange(int(p**0.5+2), 3, -2):
if p%i == 0:
print i
print p/i
break
This could be heavily improved, but it still works without a problem. You could improve it by just testing primfactors, but for small values like yours this should be enough.
The definition of RSA tells you that the modulus n = pq
. You know n
so you just need to find two numbers p
and q
that multiply to produce n
. You know that p
and q
are prime, so this is the prime factorisation problem.
You can solve this by brute force for relatively small numbers but the overall security of RSA depends on the fact that this problem is intractable in general.
d
make the factorisation easier? If so, can you explain? –
Butanone Here is a Java implementation of the fast factoring method from the Handbook of Applied Cryptography chapter 8 section 8.2.2 (thanks to GregS for finding it):
/**
* Computes the factors of n given d and e.
* Given are the public RSA key (n,d)
* and the corresponding private RSA key (n,e).
*/
public class ComputeRsaFactors
{
/**
* Executes the program.
*
* @param args The command line arguments.
*/
public static void main(String[] args)
{
final BigInteger n = BigInteger.valueOf(10142789312725007L);
final BigInteger d = BigInteger.valueOf(5);
final BigInteger e = BigInteger.valueOf(8114231289041741L);
final long t0 = System.currentTimeMillis();
final BigInteger kTheta = d.multiply(e).subtract(BigInteger.ONE);
final int exponentOfTwo = kTheta.getLowestSetBit();
final Random random = new Random();
BigInteger factor = BigInteger.ONE;
do
{
final BigInteger a = nextA(n, random);
for (int i = 1; i <= exponentOfTwo; i++)
{
final BigInteger exponent = kTheta.shiftRight(i);
final BigInteger power = a.modPow(exponent, n);
final BigInteger gcd = n.gcd(power.subtract(BigInteger.ONE));
if (!factor.equals(BigInteger.ONE))
{
break;
}
}
}
while (factor.equals(BigInteger.ONE));
final long t1 = System.currentTimeMillis();
System.out.printf("%s %s (%dms)\n", factor, n.divide(factor), t1 - t0);
}
private static BigInteger nextA(final BigInteger n, final Random random)
{
BigInteger r;
do
{
r = new BigInteger(n.bitLength(), random);
}
while (r.signum() == 0 || r.compareTo(n) >= 0);
return r;
}
}
A typical output is
100711423 100711409 (3ms)
The algorithm to do this is (and this will work for any example, not only this small one that can be factored easily by any computer):
ed - 1
is a multiple of phi(n) = (p-1)(q-1)
, so is at least a multiple of 4.
ed - 1
can be computed as 40571156445208704 which equals 2^7 * 316962159728193
,
and we call s=7
and t = 316962159728193
.
(in general: any even number is a power of 2 times an odd number).
Now pick a in [2,n-1)
at random, and compute (by successive squaring modulo n
) the sequence
a^t (mod n), a^(2t) (mod n), a^(4t) (mod n)..
until at most a^((2^7)*t) (mod n)
,
where the last one is guaranteed to be 1, by the construction of e
and d
.
We now look for the first 1 in that sequence. The one before it will either be +1
or -1
(a trivial root of 1, mod n
) and we redo with a different a, or some number x
which does not equal +1
or -1
mod n
.
In the latter case gcd(x-1, n)
is a non-trivial divisor of n
, and so p
or q
, and we are done. One can show that a random a will work with probability about 0.5, so we need a few tries, but not very many in general.
These two papers could possibly come in useful
Came across them when I was doing some basic research on continued fractions.
Sorry for the necromancy, but a friend asked me about this, and after pointing him here, I realized that I didn't really like any of the answers. After factoring the modulus and getting the primes (p and q), you need to find the totient, which is (p-1)*(q-1)
.
Now, to find the private exponent, you find the inverse of the public exponent mod the totient.
public_exponent * private_exponent = 1 mod totient
And now you have your private key, that easy. All of this except for the factorization can be done almost instantly for huge integers.
I wrote some code:
// tinyrsa.c
//
// apt-get install libgmp-dev
// yum install gmp-devel
//
// gcc tinyrsa.c -o tinyrsa -lm -lgmp
#include<stdio.h>
#include<gmp.h>
int main()
{
// declare some multi-precision integers
mpz_t pub_exp, priv_exp, modulus, totient, fac_p, fac_q, next_prime;
mpz_init_set_str(pub_exp,"5",10);
mpz_init_set_str(modulus,"10142789312725007",10);
mpz_init(priv_exp);
mpz_init(totient);
mpz_init(fac_p);
mpz_init(fac_q);
// now we factor the modulus (the hard part)
mpz_init(next_prime);
mpz_sqrt(next_prime,modulus);
unsigned long removed=0;
while(!removed)
{
mpz_nextprime(next_prime,next_prime);
removed=mpz_remove(fac_p,modulus,next_prime);
}
mpz_remove(fac_q,modulus,fac_p);
// we now have p and q
// the totient is (p-1)*(q-1)
mpz_t psub, qsub;
mpz_init(psub);
mpz_init(qsub);
mpz_sub_ui(psub,fac_p,1);
mpz_sub_ui(qsub,fac_q,1);
mpz_mul(totient,psub,qsub);
// inverse of the public key, mod the totient..
mpz_invert(priv_exp,pub_exp,totient);
gmp_printf("private exponent:\n%Zd\n",priv_exp);
}
The factorization algorithm I used is stupid, but concise, so grain of salt there. In this particular example the code runs almost instantly, but that is largely because the instructor in question provided an example that uses two primes in a row, which isn't really realistic for RSA.
If you wanted to cut out my stupid iterative search, you could put in some real factorization algorithm, and factor keys likely up to around 256 bits in a reasonable amount of time.
I suggest you read about the Quadratic Sieve. If you implement one yourself, this is surely worth the credit. If you understand the principles, you already gained something.
You need to factorize the modulus, that's the first parameter of the public key, 10142789312725007. Brute force will do (check every odd number from 3 to sqrt(n) if it's a factor), although more sophisticated/fast algorithms exist.
Since the number is too big to fit into a conventional integer (even 64-bit), you might want a numeric library that supports arbitrary-lenth integers. For C, there's GMP and MPIR (more Windows-friendly). For PHP, there's Bignum. Python comes with a built-in one - the built-in integer datatype is already arbitrary-length.
There is a lot of bad speculation about factorization of large semi primes which go into brute force or sieving neither of which is required to factorise the semi prime. 64 bit takes 1 - 2 seconds on my pc, and 256 bit generally less than 2 days
© 2022 - 2024 — McMap. All rights reserved.
n
. – Eustazio