Cybergrabs post finished

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Michael Zhang 2022-02-08 18:49:05 -06:00 committed by Michael Zhang
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title = "Twenty years of attacks on rsa with examples"
date = 2018-10-26
toc = true
tags = ["ctf", "crypto"]
tags = ["ctf", "crypto", "rsa"]
languages = ["python"]
math = true
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title = "The Cyber Grabs CTF: Unbr34k4bl3 (942)"
draft = true
date = 2022-02-02
tags = ["ctf", "crypto"]
tags = ["ctf", "crypto", "rsa"]
languages = ["python"]
layout = "single"
math = true
toc = true
+++
Crypto challenge Unbr34k4bl3 from the Cyber Grabs CTF.
@ -25,7 +25,7 @@ Crypto challenge Unbr34k4bl3 from the Cyber Grabs CTF.
Looking at the source code, this challenge looks like a typical RSA challenge at
first, but there are some important differences to note:
- $N = pqr$ (line 34). This is a twist but RSA strategies can easily be
- $n = pqr$ (line 34). This is a twist but RSA strategies can easily be
extended to 3 prime components.
- $p, q \equiv 3 \mod 4$ (line 19). This suggests that the cryptosystem is
actually a [Rabin cryptosystem][Rabin].
@ -85,7 +85,7 @@ $$\begin{aligned}
\end{aligned}$$
I grouped $p$ and $q$ together here because it's important to note that since we
have $x$, we know $r$ and thus $pq = \frac{N}{r}$. This means that for purposes
have $x$, we know $r$ and thus $pq = \frac{n}{r}$. This means that for purposes
of solving the equation, $pq$ is a constant to us. This actually introduces an
interesting structure on the right hand side, we can create 2 new variables:
@ -129,16 +129,137 @@ $$\begin{aligned}
Putting this into Python, looks like:
```py
>>> k1k2 = ip * iq - 1
>>> alpha_times_beta = k1k2 * pq
>>> alpha_plus_beta = pq * ip * iq - 1 - k1k2 * pq
from decimal import Decimal
getcontext().prec = 3000 # To get all digits
>>> def quadratic(b, c):
>>> disc = b ** 2 - 4 * c
>>> return (-b + sqrt(disc)) / 2, (-b - sqrt(disc)) / 2
k1k2 = ip * iq - 1
alpha_times_beta = k1k2 * pq
alpha_plus_beta = pq * ip * iq - 1 - k1k2 * pq
def quadratic(b, c):
b, c = Decimal(b), Decimal(c)
disc = b ** 2 - 4 * c
return (-b + disc.sqrt()) / 2, (-b - disc.sqrt()) / 2
alpha, beta = quadratic(-alpha_plus_beta, alpha_times_beta)
```
I'd like to thank @10, @sahuang, and @thebishop in the Project Sekai discord for
Now that we have $\alpha$ and $\beta$, we can try GCD'ing them against $pq$ to
get $p$ and $q$:
```py
from math import gcd
p = gcd(pq, int(alpha))
q = gcd(pq, int(beta))
assert p * q == pq # Success!
```
### Alternative method
@sahuang used the [sympy] library to do this part instead, resulting in much
less manual math. It's based on [this] proof from Math StackExchange that $p
\cdot (p^{-1} \mod q) + q \cdot (q^{-1} \mod p) = pq + 1$.
[sympy]: https://www.sympy.org
[this]: https://math.stackexchange.com/a/1705450
```py
from sympy import *
p,q = symbols("p q")
eq1 = Eq(ip * p + iq * q - pq - 1, 0)
eq2 = Eq(p * q, pq)
sol = solve((eq1, eq2), (p, q))
```
## Decrypting the ciphertexts
Now that we know $p$ and $q$, it's time to plug them back into the cryptosystem
and get our plaintexts. $c_2$ is actually easier than $c_1$, because with $e_2 =
5$ we can just find the modular inverse:
```py
phi = (p - 1) * (q - 1) * (r - 1)
d2 = pow(e2, -1, phi)
m2 = pow(c2, d2, n)
print(long_to_bytes(m2))
# ... The last part of the flag is: 8ut_num83r_sy5t3m_15_3v3n_m0r3_1nt3r35t1n6} ...
```
This trick won't work with $c_1$ however:
```py
d1 = pow(e1, -1, phi)
# ValueError: base is not invertible for the given modulus
```
Because $\phi$ is even (it's the product of one less than 3 primes), there can't
possibly be a $d_1$ such that $2 \cdot d_1 \equiv 1 \mod \phi$. According to
[Wikipedia][Rabin], the decryption for a standard two-prime $n$ takes 3 steps:
1. Compute the square root of $c \mod p$ and $c \mod q$:
- $m_p = c^{\frac{1}{4}(p + 1)} \mod p$
- $m_q = c^{\frac{1}{4}(q + 1)} \mod q$
2. Use the extended Euclidean algorithm to find $y_p$ and $y_q$ such that $y_p
\cdot p + y_q \cdot q = 1$.
3. Use the Chinese remainder theorem to find the roots of $c$ modulo $n$:
- $r_1 = (y_p \cdot p \cdot m_q + y_q \cdot q \cdot m_p) \mod n$
- $r_2 = n - r_1$
- $r_3 = (y_p \cdot p \cdot m_q - y_q \cdot q \cdot m_p) \mod n$
- $r_4 = n - r_3$
4. The real message could be any $r_i$, but we don't know which.
Converting this to work with $n = pqr$, it looks like:
1. Compute the square root of $c \mod p$, $c \mod q$, and $c \mod r$:
- $m_p = c^{\frac{1}{4}(p + 1)} \mod p$
- $m_q = c^{\frac{1}{4}(q + 1)} \mod q$
- $m_r = c^{\frac{1}{4}(r + 1)} \mod r$
2. Using the variable names from [AoPS][CRT]'s definition of CRT:
- For $k \in \\{ p, q, r \\}, b_k = \frac{n}{k}$.
- For $k \in \\{ p, q, r \\}, a_k \cdot b_k \equiv 1 \mod k$.
3. Let $r = \displaystyle\sum_k^{\\{ p, q, r \\}} \pm (a_k \cdot b_k \cdot m_k) \mod n$.
4. The real message could be any $r$, but we don't know which.
[CRT]: https://artofproblemsolving.com/wiki/index.php/Chinese_Remainder_Theorem
In code this looks like:
```py
# Step 1
mp = pow(c1, (p + 1) // 4, p)
mq = pow(c1, (q + 1) // 4, q)
mr = pow(c1, (r + 1) // 4, r)
# Step 2
bp = n // p
bq = n // q
br = n // r
ap = pow(bp, -1, p)
aq = pow(bq, -1, q)
ar = pow(br, -1, r)
# Step 3
from itertools import product
for sp, sq, sr in product((-1, 1), repeat=3):
m = (sp * ap * bp * mp + sq * aq * bq * mq + sr * ar * br * mr) % n
m = long_to_bytes(m)
# Step 4
if b"cybergrabs" in m: print(m)
# Congratulations, You found the first part of flag cybergrabs{r481n_cryp70sy5t3m_15_1nt3r35t1n6_ ...
```
The final flag, then, is:
```
cybergrabs{r481n_cryp70sy5t3m_15_1nt3r35t1n6_8ut_num83r_sy5t3m_15_3v3n_m0r3_1nt3r35t1n6}
```
🎉
Big thanks to @10, @sahuang, and @thebishop in the Project Sekai discord for
doing a lot of the heavy-lifting to solve this challenge.
[Rabin]: https://en.wikipedia.org/wiki/Rabin_cryptosystem