This tool explores SHA-256’s security through naive collision attempts, zero-fields, fixed points, and a signal processing analogy where collisions are aliasing events.
Click to verify the SHA-256 implementation against the standard "abc" test vector.
SHA-256’s compression function (H = IV + Permutation(IV, M)
) can be viewed as a signal processing system:
M
is a unique bit pattern.ROTR
) spread bits rapidly, like high-frequency modulation.Ch
, Maj
mix the state chaotically each round.M1
, M2
) produce the same hash when sampled.Naive Collision Attempt: Fails due to the avalanche effect, where small input changes cause large output differences, resisting aliasing.
Sliding Zero-Field: Forces a zero state for a range of rounds, like a “flat signal,” simplifying differential paths but requiring complex connections.
Fixed Points: Values stable under rotations (e.g., 0x00000000
for ROTR(X, 7)
) act as “pure tones” but are disrupted by non-linear operations.
Key Lesson: SHA-256’s non-linear sampling and high diffusion make aliasing (collisions) infeasible, even with cryptanalytic gadgets.
Content by Research Identifier: 7B7545EB2B5B22A28204066BD292A0365D4989260318CDF4A7A0407C272E9AFB