Goal: recover the 16-byte key from the large .npz trace set and wrap it as 0xL4ugh{...}.
The file is ~2.59?GB, so I avoided full download by using HTTP range requests to parse the ZIP and stream only the needed data.
Steps:
This revealed two entries:
traces.npy: shape (250000, 1280), dtype <f8plaintexts.npy: shape (250000, 16), dtype <i8From the local file headers:
traces.npy data offset = 188plaintexts.npy data offset = 2560000380Instead of all 250k traces, I used a subset (e.g., 20k�50k):
plaintexts = np.frombuffer(buf, dtype=np.int64).reshape(N,16).astype(np.uint8)
traces = np.frombuffer(buf, dtype=np.float64).reshape(N,1280).astype(np.float32)
Classic CPA with the standard model:
HW(Sbox(P ? K))
did not yield a correct key (even with more traces/downsampling and other simple models). That strongly suggests a masked / higher-order leakage setup.
For masked DPA, a common approach is to correlate the model with centered squared traces:
T = traces - mean(traces)
T2 = (T**2) - mean(T**2)
Then correlate T2 with the standard HW S-box model:
hyp = HW(Sbox(P ? K))
correlate(hyp, T2)
This cleanly recovered the key.
Recovered key (hex):
4d61736b656444504131734330306c21
ASCII:
MaskedDPA1sC00l!
Final flag:
0xL4ugh{MaskedDPA1sC00l!}