CTF toolkit: lib (net, crypto_utils), templates per category, scaffold, cheatsheet, ps_and_qs example
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"""
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lib/crypto_utils.py — common CTF crypto helpers (RSA / lattice / misc).
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Patterns distilled from p4-team/ctf writeups.
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"""
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import math
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from math import gcd, isqrt
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def egcd(a, b):
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if b == 0:
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return (a, 1, 0)
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g, x, y = egcd(b, a % b)
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return (g, y, x - (a // b) * y)
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def modinv(a, m):
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g, x, _ = egcd(a % m, m)
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if g != 1:
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raise ValueError("modinv: no inverse")
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return x % m
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def isqrt(n):
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return math.isqrt(n)
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def factor_trivial(n):
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"""Tiny factor finder for small/weak moduli."""
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for p in range(2, 1 << 20):
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if n % p == 0:
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return p, n // p
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return None
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# ---- RSA recovery recipes (from p4 writeups) ----
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def recover_n_from_keys(e, d, ipmq, iqmp):
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"""
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From p4 'lost_modulus': we know e, d, ipmq=modinv(p,q), iqmp=modinv(q,p)
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but NOT n. Recover n via quadratic equation on phi. Returns (p, q) or None.
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"""
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try:
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import gmpy2
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except Exception:
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raise SystemExit("gmpy2 required for recover_n_from_keys")
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def find_phi(e, d):
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kfi = e * d - 1
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k = kfi // (int(d) * 3)
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while True:
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fi = kfi // k
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try:
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d0 = gmpy2.invert(e, fi)
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if d == d0:
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yield fi
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except Exception:
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pass
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k += 1
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def solve(ipmq, iqmp, possible_phi):
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a = iqmp - 1
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b = ipmq + iqmp - 2 - possible_phi
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c = ipmq * possible_phi - possible_phi
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delta = b * b - 4 * a * c
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if delta > 0:
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r, correct = gmpy2.iroot(delta, 2)
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if correct:
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for x in [(-b - r) // (2 * a), (-b + r) // (2 * a)]:
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if gmpy2.is_prime(x + 1):
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q = x + 1
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p = possible_phi // x + 1
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return int(p), int(q)
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return None
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for phi in find_phi(e, d):
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res = solve(ipmq, iqmp, phi)
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if res:
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return res
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return None
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def common_modulus_attack(c1, c2, e1, e2, n):
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"""Same message encrypted with same n, coprime exponents."""
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g, a, b = egcd(e1, e2)
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if g != 1:
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raise ValueError("e1,e2 not coprime")
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if a < 0:
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c1, a = modinv(c1, n), -a
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if b < 0:
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c2, b = modinv(c2, n), -b
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m = (pow(c1, a, n) * pow(c2, b, n)) % n
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return m
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def hastad_broadcast(cts, es, n, mlen=1):
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"""CRT-combine same small message raised to small exponents e across moduli.
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cts[k] = m^es[k] mod n[k]. Returns m if m^max(e) < n_prod."""
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from functools import reduce
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N = reduce(lambda a, b: a * b, n)
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result = 0
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for c, ni in zip(cts, n):
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Ni = N // ni
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result = (result + c * Ni * modinv(Ni, ni)) % N
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k = max(es)
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return int(round(result ** (1.0 / k)))
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def wiener(e, n):
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"""Wiener's attack: small d. Returns d or None."""
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def cf(a, b):
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while b:
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yield a // b
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a, b = b, a % b
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def convergents(cf_gen):
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h0, h1 = 0, 1
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k0, k1 = 1, 0
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for q in cf_gen:
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h0, h1 = h1, q * h1 + h0
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k0, k1 = k1, q * k1 + k0
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yield h1, k1
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for k, d in convergents(cf(e, n)):
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if k == 0:
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continue
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if (e * d - 1) % k == 0:
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phi = (e * d - 1) // k
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s = n - phi + 1
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disc = s * s - 4 * n
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if disc >= 0:
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r = isqrt(disc)
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if r * r == disc and (s + r) % 2 == 0:
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return d
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return None
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