The increasing utilization of the Internet to access health-related information is believed to heighten anxiety and trigger cyberchondria due to the presence of conflicting and sometimes overly detailed information. To investigate the levels of cyberchondria and intolerance of uncertainty among university students and their relationship with different online health information sources. Between June and July 2022, 420 university students (mean age = 21.5 ± 2 years, 54% female) participated in this cross-sectional study. The socio-demographic form, Uncertainty Intolerance Scale (IUS), and Cyberchondria Severity Scale (CSS) were used in data collection. Pearson correlation test and binary logistic regression analysis were used to identify factors associated with cyberchondria. Forums and private hospital/clinic websites were the most frequently utilized online health information sources, while governmental websites were the least. The mean scores for CSS and IUS were 81.5 and 41.0, respectively. There was no significant gender-based difference in CSS and IUS scores. Students who used newspapers/magazines and social media for health information had significantly higher scores on both scales. Cyberchondria had a negative association with age [odds ratio (OR) = 0.90], a positive significant relationship with newspaper/magazine website use (OR = 7.24), and IUS score (OR = 1.09). There was a positive and moderate correlation between CSS and IUS scores (r = 0.39, P < 0.001). Our results underline the susceptibility to cyberchondria and intolerance of uncertainty among young adults who used less reliable online health information sources and highlight promoting online health literacy to reduce vulnerabilities and the need for further research on socio-demographic determinants in both mental problems.