The global proliferation of invasive plant species is causing havoc in ecological and agricultural ecosystems. Early warning and avoidance of high-risk introductions of such species is critical for minimising losses and increasing gains. The Weed Risk Assessment method has been a successful prediction project for forecasting naturalisations of weed species in four Moradabad sub-districts. A research looked at 17 weed species in the Superasterids Grade of the APG-IV classification system. The study highlights that 53% of the reported weed species were of low rank, 35% of medium rank, and 12% were of high risk rank status. In our investigation, we discovered that Alternanthera philoxeroides (Mart.) Griseb. had the highest weed risk score (25) while Mirabilis jalapa L. and Opuntia elatior Mill. had the lowest weed risk score (1.08). The study reports that 75% of the weed species were herbs. Ruderal weeds (41%) were the most common, followed by Agrestal weeds (41%) and (18%) were in both categories. In terms of the origin of weed species, mostly weeds were from Tropical America (62%), and the minimum from Tropical Africa (6%).