from datetime import datetime, timezone
def unix(when):
return int(datetime.fromisoformat(when).replace(tzinfo=timezone.utc).timestamp())
def candidate(t, n, per, shift, width):
x, out = (t << 16) | 0x330E, "" # the state srand48(t) sets
for i in range(per * n):
x = (0x5DEECE66D * x + 0xB) % 2**48 # one step of lrand48
if i >= per * (n - 1):
out += "%0*X" % (width, x >> shift)
return out
PRIME = { # srand48(time); 20 bytes per candidate: lrand48() >> 23
"prime239v1": ("1997-05-15 15:49:03", 2185),
"prime239v2": ("1997-05-15 15:49:03", 2320),
"prime239v3": ("1997-05-15 15:49:03", 3048),
"P-192": ("1997-05-18 14:45:34", 139),
"prime192v3": ("1997-05-18 14:45:34", 5228),
"prime192v2": ("1997-05-18 14:45:34", 6013),
"P-521": ("1997-08-08 01:12:04", 1136),
"P-256": ("1997-08-16 01:52:34", 1842),
"P-384": ("1997-08-30 14:50:08", 2688),
"P-224": ("1998-04-03 12:52:07", 7026),
}
BINARY = { # srand48(time / 2), if that reading is right; 5 words per candidate: lrand48()
"B-233": ("1998-04-17 15:24:18", 155),
"B-283": ("1998-04-17 15:27:44", 32),
"B-409": ("1998-04-17 15:30:18", 60),
"B-571": ("1998-04-17 15:32:08", 73),
}
for name, (when, n) in PRIME.items():
print(f"{name:10} {when} {n:5} {candidate(unix(when), n, 20, 40, 2)}")
for name, (when, n) in BINARY.items():
print(f"{name:10} {when} {n:5} {candidate(unix(when) // 2, n, 5, 17, 8)}")
Claude AI bu ma'lumotlarni topish uchun bir necha soat ichida ishladi. U lrand48 random-number generator ishlatilganligini aniqladi va bu generator Unix timestamp bilan boshlanganligini aniqladi. Bu ma'lumotlar ECDSA kurvalarining xavfsizligini tasdiqlaydi.
prime239v1 1997-05-15 15:49:03 2185 E43BB460F0B80CC0C0B075798E948060F8321B7D
prime239v2 1997-05-15 15:49:03 2320 E8B4011604095303CA3B8099982BE09FCB9AE616
prime239v3 1997-05-15 15:49:03 3048 7D7374168FFE3471B60A857686A19475D3BFA2FF
P-192 1997-05-18 14:45:34 139 3045AE6FC8422F64ED579528D38120EAE12196D5
prime192v3 1997-05-18 14:45:34 5228 C469684435DEB378C4B65CA9591E2A5763059A2E
prime192v2 1997-05-18 14:45:34 6013 31A92EE2029FD10D901B113E990710F0D21AC6B6
P-521 1997-08-08 01:12:04 1136 D09E8800291CB85396CC6717393284AAA0DA64BA
P-256 1997-08-16 01:52:34 1842 C49D360886E704936A6678E1139D26B7819F7E90
P-384 1997-08-30 14:50:08 2688 A335926AA319A27A1D00896A6773A4827ACDAC73
P-224 1998-04-03 12:52:07 7026 BD71344799D5C7FCDC45B59FA3B9AB8F6A948BC5
B-233 1998-04-17 15:24:18 155 74D59FF07F6B413D0EA14B344B20A2DB049B50C3
B-283 1998-04-17 15:27:44 32 77E2B07370EB0F832A6DD5B62DFC88CD06BB84BE
B-409 1998-04-17 15:30:18 60 4099B5A457F9D69F79213D094C4BCD4D4262210B
B-571 1998-04-17 15:32:08 73 2AA058F73A0E33AB486B0F610410C53A7F132310
ECDSA kurvalari xavfsizligi
Bu topilmalar ECDSA kurvalarining xavfsizligini tasdiqlaydi. Kurvalarning seed parametrlari oddiy pseudorandom number generator (PRNG) bilan ishlab chiqarilganligi aniqlangan. Bu ma'lumotlar kurvalarning xavfsizligini tasdiqlaydi va ular orasida hech qanday orqa qapqali yoki maqsadli zaifliklar yoʻqligini isbotlaydi.
M, A = 2**107 - 1, pow(3, 121, 2**107 - 1) # zrandom: state = state * 3^121 mod (2^107 - 1)
P192 = 2**192 - 2**64 - 1
P239 = 2**239 - 2**143 - 2**95 + 2**47 - 1
CURVES = [ # name, LIP seed, p, b, published Gx (a = -3 throughout)
("prime192v1", 20000, P192,
0x64210519e59c80e70fa7e9ab72243049feb8deecc146b9b1,
0x188da80eb03090f67cbf20eb43a18800f4ff0afd82ff1012),
("prime239v1", 20420, P239,
0x6b016c3bdcf18941d0d654921475ca71a9db2fb27d1d37796185c2942c0a,
0xffa963cdca8816ccc33b8642bedf905c3d358573d3f27fbbd3b3cb9aaaf),
("prime239v2", 20507, P239,
0x617fab6832576cbbfed50d99f0249c3fee58b94ba0038c7ae84c8c832f2c,
0x38af09d98727705120c921bb5e9e26296a3cdcf2f35757a0eafd87b830e7),
("prime239v3", 20509, P239,
0x255705fa2a306654b1f4cb03d6a750a30c250102d4988717d9ba15ab6d3e,
0x6768ae8e18bb92cfcf005c949aa2c6d94853d0e660bbf854b1c9505fe95a),
("prime192v2", 20512, P192,
0xcc22d6dfb95c6b25e49c0d6364a4e5980c393aa21668d953,
0xeea2bae7e1497842f2de7769cfe9c989c072ad696f48034a),
("prime192v3", 20517, P192,
0x22123dc2395a05caa7423daeccc94760a7d462256bd56916,
0x7d29778100c65a1da1783716588dce2b8b4aee8e228f1896),
]
def base_point_x(seed, p, b):
state = seed # zrstarts(seed)
def limb(): # zrandom(2^26): low 26 bits of the new state
nonlocal state
state = state * A % M
return state % 2**26
for _ in range(7): # seven single-limb draws come first
limb()
limbs = -(-p.bit_length() // 26) + 1 # zrandomb(p): limbs of p plus one, top limb first
tries = 0
while True:
x = 0
for _ in range(limbs):
x = x << 26 | limb()
x %= p
tries += 1
if pow(x**3 - 3*x + b, (p - 1) // 2, p) == 1: # is x on the curve?
return x, tries
for name, seed, p, b, gx in CURVES:
x, tries = base_point_x(seed, p, b)
print(f"{name:20} seed {seed} tries {tries} matches published Gx: {x == gx}")
ECDSA kurvalari keng tarqalganligi sababli, bu topilmalar kriptografik jamiyat uchun juda muhimdir. Bu topilmalar ECDSA kurvalarining xavfsizligini tasdiqlaydi va ular orasida hech qanday orqa qapqali yoki maqsadli zaifliklar yoʻqligini isbotlaydi.
prime192v1 seed 20000 tries 2 matches published Gx: True
prime239v1 seed 20420 tries 3 matches published Gx: True
prime239v2 seed 20507 tries 2 matches published Gx: True
prime239v3 seed 20509 tries 1 matches published Gx: True
prime192v2 seed 20512 tries 5 matches published Gx: True
prime192v3 seed 20517 tries 1 matches published Gx: True
Xulosa
ECDSA kurvasi manbalari haqidagi sirni Claude AI yordamida ochib berildi. Bu sirni hal qilishda Unix timestamp va lrand48 random-number generator ishlatilganligi aniqlangan. Bu topilmalar ECDSA kurvalarining xavfsizligini tasdiqlaydi va ular orasida hech qanday orqa qapqali yoki maqsadli zaifliklar yoʻqligini isbotlaydi.
Asl manba: anthropic.com