Objective: The main objective of the present study was to use the Receiver Operating Characteristic (ROC) curve analysis to identify cut-off points for a self-report measure assessing parental style, i.e., the Measure of Parental Style (MOPS), that are able to discriminate individuals with disorganized internal working models (IWMs) of attachment with adequate accuracy, in terms of sensitivity and specificity. Establishing cut-off points for the MOPS could provide clinicians and researchers with a valuable tool to investigate the role of disorganized IWMs as a link between parental styles and mental health. Method: A sample of 90 university students (mean age = 21.21 ± 2.05, females = 66) was enrolled in the study. We used the Adult Attachment Interview (AAI) to assess disorganized IWM and the MOPS to assess parental styles. Subsequently, we used ROC curve analysis to pursue the objective of the study. Results: The ROC curve analysis showed that the MOPS total score (i.e., the combination of maternal and paternal dimensions) was able to discriminate individuals with disorganized IWMs from individuals with organized IWMs (AUC= 0.77). Specifically, a score ≥ 25 (Youden index= 0.497) categorized individuals with a sensitivity of 0.69 (69% of participants with disorganized IWMs were correctly identified) and a specificity of 0.81 (19% of participants were incorrectly identified as having disorganized IWMs). Conclusions: Although the AAI has demonstrated high psychometric properties for assessing attachment representations in adulthood, its use is difficult when studies with large samples are to be conducted. As an alternative to the AAI, the MOPS can be used in studies with large populations, but no cut-off has yet been proposed. Here, we have identified cut-off points for the MOPS that are capable of detecting disorganized IWMs of attachment with adequate accuracy, and we suggest that this self-report is a useful brief instrument for detecting disorganized IWMs when time constraints prevent the use of the AAI (e.g., in studies with large samples or epidemiological studies).