The situation described in the question is
| Preimage | Hash |
|---|---|
| unknown | 8d2c7a6a124d1551 884798d76c8aedab 36908bf3 |
0400f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd888ac |
8d2c7a6a124d1551 884798d76c8aedad 36908bf3 |
There is no way to compute the “unknown” preimage because the hashing algorithm is designed to prevent exactly this.
This is true even if you know of a preimage that produces a very similar hash.
Any change in a preimage, even a tiny change, will produce a completely different hash1, not just a hash with a one-bit difference. If this were not so, anyone could use a hill-climbing algorithm or some other process to steal all the money in the blockchain destroying Bitcoin and breaking many other important systems using the same hash algorithm.
Therefore the 1-bit difference can only be explained as a transcription error when transcribing the hash (or less-likely, as a rare 1-bit error in computer hardware, for example those very occasionally produced by cosmic rays high in the atmosphere or in space).
It is entirely possible that there is no possible Bitcoin script that will hash to the first hash value. I’m no mathematician but I wouldn’t be surprised if the likelihood is incredibly small that a usable preimage even exists.
The end result is that the money associated with the first hash is forever unspendable.
Addendum
- I computed hashes for all possible 1-bit variations to show that even small changes to the preimage will cause a large, unpredictable, seemingly random, effect on the hash:
| bit | Preimage | Hash160 | Difference |
|---|---|---|---|
| unknown | 8d2c7a6a124d1551 884798d76c8aedab 36908bf3 |
||
0400f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd888ac |
8d2c7a6a124d1551 884798d76c8aedad 36908bf3 |
1 | |
| 1 | 0500f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd888ac |
de8ad800d2fdd360 5e110e89cd649f71 02051950 |
77 |
| 2 | 0600f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd888ac |
7bd194571d920d65 4a51374709d12df3 0769fdc5 |
86 |
| 3 | 0000f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd888ac |
9dab05f599ca5db0 f558d101496ef117 6ecde722 |
82 |
| 4 | 0c00f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd888ac |
74600dd550bc3ddd bcbaddf49688d1f3 b0ad42d2 |
78 |
| 5 | 1400f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd888ac |
c689ec9aa519a896 6c999c586c44de58 3be005e2 |
79 |
| 6 | 2400f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd888ac |
ebd177db96ae3f5c 13c3eb0e905c15f7 74cd4317 |
82 |
| 7 | 4400f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd888ac |
5e3f90dd2530017e aaed0267462cce04 943038d9 |
79 |
| 8 | 8400f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd888ac |
9a933d178607b0c4 40fd770979448ff9 fcb70b42 |
83 |
| 9 | 0401f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd888ac |
af6051ee1b1d91ed 3c4c03bfddd60acc 93041db3 |
68 |
| 10 | 0402f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd888ac |
dc4a5c36ed803b00 d6b6e084071e1f4c 6cd3a9dd |
84 |
| … | … | … | |
| 247 | 0400f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd8c8ac |
2a2fa831f6b25915 96cee5f6334622da 56235f79 |
82 |
| 248 | 0400f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd808ac |
80d021ed7df02ae0 8c11e13759558e70 486ed38a |
95 |
| 249 | 0400f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd888ad |
4e1a859d012c3b08 63d04693e6ef054d e4cd12ca |
89 |
| 250 | 0400f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd888ae |
23bf2696544bac51 7f01626ef5126e3d a998585f |
80 |
| 251 | 0400f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd888a8 |
c9c95d8525a2f3f7 ed5aac83990e985a 8d1c023b |
86 |
| 252 | 0400f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd888a4 |
63f2151847132dd9 afdaed2372fa8736 62c6d128 |
88 |
| 253 | 0400f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd888bc |
244fda7ea4cb4bc6 47dc64d5376e727e 4e5b7ced |
88 |
| 254 | 0400f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd8888c |
d244559645d2765e 1a709d8467677bc6 129ad78f |
84 |
| 255 | 0400f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd888ec |
79e79188360a0803 42b4a890799b2424 6302cc1c |
81 |
| 256 | 0400f6f87bb17576 a91470b38fc510ae 4a633b4410a25a17 c16bbd215cd8882c |
563207df8ba3a3f1 2a75da7964a492c5 e6a59838 |
83 |
The last column is the number of bits in the hash that differ from the corresponding bit in the hash of the unknown preimage.
As expected, none of the hashes of variations look remotely close to the required hash.
This should make it clear why any variation of the script is extremely unlikely to get its hash closer to the desired hash