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Calcimator

Birthday Attack Calculator

Calculate birthday attack parameters, collision probability, time to collision, and attack feasibility for hash functions.

About this calculator

The birthday attack exploits the same counterintuitive math as the "birthday paradox" -- in a room of just 23 people, there's better than even odds that two share a birthday, even though there are 365 possible birthdays, because you're comparing every pair of people, not looking for a match to one specific date. Applied to hash functions, an attacker hunting for ANY two inputs that produce the same hash output (a collision) needs far fewer attempts than one hunting for a SPECIFIC hash value: roughly the square root of the total hash space, not the full space itself.

That square-root relationship is why hash output length matters so much for collision resistance -- a hash function is generally considered to offer only n/2 bits of collision resistance for an n-bit output, half its apparent strength, which is exactly why cryptographic hash functions are built with long outputs (SHA-256's 256 bits gives 128 bits of birthday-attack resistance, still enormous) and why 128-bit or shorter hash outputs are considered too weak for new cryptographic use. This calculator computes the number of hash attempts needed to reach a target collision probability using the standard birthday-bound approximation, then converts that attempt count into wall-clock time and rough storage cost given an assumed attack speed -- storage matters because most practical birthday-attack implementations need to remember every hash computed so far to check new ones against it.

Inputs

bits

Results

Birthday Bound

400,651,869,298,001,200,000,000,000,000,000,000,000

50% Probability Bound

400,651,869,298,001,200,000,000,000,000,000,000,000

Time to Collision

12,695,900,000,000,000,000,000 years

Storage Required11,940,356,174,051,796,000,000,000,000,000 GB
Estimated Cost$4,006,518,692,980,011,700,000,000,000,000.00
How to Use This Calculator
  1. Enter the hash function output size in bits.
  2. Set the number of hashes the attacker can compute per second.
  3. Review the number of hash computations needed for a 50% collision probability.
  4. Verify that your hash function output size is at least 2x the desired security level in bits.
  5. For 128-bit security, use SHA-256 or stronger -- MD5 and SHA-1 are vulnerable.

How the result changes with Hash Length

Hash LengthBirthday Bound50% Probability BoundTime to Collision
12821,719,381,355,163,560,00021,719,381,355,163,560,000688.25 years
19293,284,032,609,779,660,000,000,000,00093,284,032,609,779,660,000,000,000,0002,955,990,000,000 years
3847,390,722,495,593,557,000,000,000,000,000,000,000,000,000,000,000,000,000,0007,390,722,495,593,557,000,000,000,000,000,000,000,000,000,000,000,000,000,000234,198,000,000,000,000,000,000,000,000,000,000,000,000 years
512136,334,766,396,022,310,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000136,334,766,396,022,310,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,0004,320,190,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000 years

What each input means

Hash Length
Hash output length in bits
Target Collision Probability
Desired probability of finding collision
Hash Operations per Second
Computational power available

How this is calculated

Formula

Birthday Bound ≈ √(2 × m × ln(1/(1-P)))

Worked example, using the default values

  1. Identify Input Parameters
    3 parameters
    Hash Length = 256, Target Collision Probability = 50, Hash Operations per Second = 1000000000 = 3 input(s) provided
  2. Calculate Birthday Bound
    Birthday Bound
    4.006518692980012e+38 = 4.006518692980012e+38
  3. Calculate 50% Probability Bound
    50% Probability Bound
    4.006518692980012e+38 = 4.006518692980012e+38
  4. Calculate Time to Collision
    Time to Collision
    1.26959e+22 = 1.26959e+22
  5. Calculate Storage Required
    Storage Required
    1.1940356174051796e+31 = 1.1940356174051796e+31
  6. Calculate Estimated Cost
    Estimated Cost
    4.0065186929800117e+30 = $4,006,518,692,980,011,700,000,000,000,000

Engine last updated . Checked against 1 independently-derived test — how we verify calculators. Built by Paul Gunder, a software engineer, not a licensed financial, medical, or legal professional.

Frequently Asked Questions

Why does a birthday attack need so much less work than a brute-force preimage attack?

A preimage attack is looking for an input that hashes to one SPECIFIC target value, which takes on the order of the full hash space (2^n attempts) on average. A birthday (collision) attack is looking for ANY two inputs that hash to the same value as each other, and because it's comparing every pair of attempts against every other pair rather than against one fixed target, the number of attempts needed drops to roughly the square root of the hash space -- a dramatically smaller number for large n.

Why is a hash function's collision resistance only half its output length?

Because the birthday bound scales with the square root of the hash space size, and the hash space size is 2 raised to the output length in bits -- taking a square root of 2^n is the same as 2^(n/2). So an n-bit hash function offers roughly n/2 bits of actual security against collision attacks, even though brute-force resistance to finding one specific hash value (a preimage attack) still requires the full n bits of work.

Why does storage matter for a birthday attack?

To detect that two of your hash attempts collide, you generally need to keep every previously computed hash around so a new one can be checked against the whole set -- unlike a preimage attack, which can discard each failed guess immediately since it's only comparing against one fixed target. As the number of attempts approaches the square root of the hash space, the storage needed to remember them all becomes a real, sometimes limiting, practical cost.

Why does raising the target collision probability increase the number of attempts needed?

The birthday-bound formula includes a ln(1/(1-P)) term that grows as the target probability P approaches 100% -- pushing for near-certainty requires substantially more attempts than settling for 50% odds, since the marginal attempts needed to close the gap toward certainty keep growing. This is the same reason a 50% collision probability is treated as the standard reference point for describing a hash function's practical collision resistance.

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