Are there any measures of similarity or distance between two symmetric covariance matrices (both having the same dimensions)?

I am thinking here of analogues to KL divergence of two probability distributions or the Euclidean distance between vectors except applied to matrices. I imagine there would be quite a few similarity measurements.

Ideally I would also like to test the null hypothesis that two covariance matrices are identical.