This study assessed landslide susceptibility using Weight of Evidence (WoE) and Frequency Ratio (FR) model in Shahpur valley, situated in the eastern Hindu Kush. Here, the landslides are recurrent phenomena that disrupt the natural environment and causes huge property damages as well as human losses every year. These damages are expected to increase due to the high rate of deforestation in the region, population growth, agricultural expansion and infrastructural development on the slopes. Initially, the landslide inventory map was prepared from the SPOT-5 satellite image and was verified from frequent field visits. Seven landslide contributing factors including surface geology, fault lines, slope aspect and gradient, land use, proximity to roads and streams were selected. To analyze the relationship between landslide occurrence with its causal factors, WoE and FR models were used. Based on WoE and FR model landslide susceptibility zonation maps were prepared and reclassified into very low to very high landslide susceptible zones. Finally, the resultant maps of landslide susceptibility were validated using the success rate curve and prediction rate curve approach to validate the models.