Alkhurma hemorrhagic fever virus was first isolated at Jeddah, Saudi Arabia, in the early 1990s, and identified as a member of the Flaviviridae family. The virus has been confirmed only in the sand tampan tick, Ornithodoros savignyi (Audouin), and camel tick, Hyalomma dromedarii Koch. Symptoms of infection include headache, joint and muscle pain, vomiting, and thrombocytopenia, leading to hemorrhagic fever, which can cause death. The purpose of this article was to make a genomic-mined Alkhurma hemorrhagic fever virus from the genomic sequences previously reported in GenBank of NCBI. Genomes were divided into peptides, and different evolutionary parameters were derived using bioinformatics tools. The individual behavior of each of the peptides encoded in the genome of Alkhurma hemorrhagic fever virus is specific; the rate of change indicates different kinds of evolutionary pressure. Complete genome and NS3 protein are under positive selection (d_N > d_S, p < 0.05), while purifying selection is the main force that drives the evolution of envelope and NS5 proteins (d_N < d_S, p < 0.05). The spread of viruses such as Alkhurma hemorrhagic fever virus can be catastrophic if they affect the global population without antibodies. Genomic mining of Alkhurma hemorrhagic fever virus provides a powerful tool to design new strategies focused on variable regions of the genome in case of spread.