You could use moderated regression analysis. In moderated regression, you include product terms (IV*moderator) to examine moderation (interaction effects). This works for both continuous and dichotomous independent/moderator variables. For ease of interpretation, I would probably begin with separate models for each moderator, then put both moderators in the same model (regression equation). Here are a few references for moderated regression:

Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Newbury Park: Sage.

Cohen, J., Cohen, P., West, S. G. & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences. Mahwah, NJ: Erlbaum. (Chapters 7 and 9)

Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis (2nd ed.). New York: Guilford Press.Cohen, J., Cohen, P., West, S. G. & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences. Mahwah, NJ: Erlbaum.

Thank you so much! If the moderators are in seperate models, isnt it still a multiple regression analysis with the variables IV, moderator 1 and moderator 1*IV?

And if you would look at the picture would I make it myself easier to do model 2 and not do model 1?

Structural equational modeling SEM using AMOS will be helpful for such analysis, please see the below youtube video

https://www.youtube.com/watch?v=dpxkFGctKwo&list=PLnMJlbz3sefJaVv8rBL2_G85HoUko5I--&index=10

then see the complete video list of SEM analysis steps for further knowledge about SEM analysis and the combination between SPSS and AMOS in analysis

https://www.youtube.com/playlist?list=PLnMJlbz3sefJaVv8rBL2_G85HoUko5I--