Random guess: a logistic regression is fit by maximizing a particular log likelihood. [+]

You can find the maximum by (1) gradient ascent, or (2) the analogue of Newton's method in multiple dimensions [++], which involves computing the Hessian matrix.

So there's your Hessian.

[+] https://en.wikipedia.org/wiki/Logistic_regression#Model_fitt...

[++] https://en.wikipedia.org/wiki/Newton%27s_method_in_optimizat...