Nowadays, web authentication relies mainly on passwords, which are now deemed as insecure due to many flaws. These lead to an increase of effectiveness of replay, brute force or dictionary attacks, bringing the need for supplementary web authentication factors. In the meantime, browser fingerprinting technique gains more and more attention. It consists into probing and aggregating web browser attributes, called vectors, in order to build a single browser fingerprint. In this work, we investigate the use of browser fingerprints as a web authentication factor, through the analysis of a large-scale fingerprint dataset (3,578,167 browser fingerprints composed of 216 attributes). We evaluate browser fingerprints according to usual properties of an authentication factor, namely: security, usability, and deployability. We conclude that browser fingerprints are a promising secondary web authentication factor.