The reason for the difficulty is that confounding is not a statistical notion. It stands for the discrepancy between what we want to assess (the causal effect) and what we actually do assess using statistical methods. If you can’t articulate mathematically what you want to assess, you can’t expect to define what constitutes a discrepancy.
