Why use antiforgery with SameSite cookies?
PICTURE THIS: A SENTENCE BECOMES TOKENS
The model does not read letters like humans. It reads these pieces, then predicts the next one.
Simple meaning
SameSite reduces CSRF but is not perfect across all browsers and flows.
WHY — Ajax instead of guessing?
Why interviewers care about Ajax:
on Ajax.
the situation, the default choice, and one exception - that reads as experience.
Name the idea, why it exists, then one short example.
End with when you use it and one common pitfall.
STEPS — What happens with tokens?
Before the model can read a sentence, it goes through these steps:
- 1SameSite reduces CSRF but
is not perfect across all browsers and flows.
- 2Token IDs
Defense in depth keeps tokens.
- 3I still validate tokens
on POSTs.
- 4Context mix
Attention looks at nearby tokens together.
- 5Next token
The model scores what should come next.
- 6Decode
IDs turn back into readable text.
EXAMPLE — See it in action
Let's see how a real sentence is tokenized (tokens may vary by model):
Note: Actual tokens and IDs depend on the tokenizer (e.g., GPT, Llama, etc.).
Key takeaway
SameSite reduces CSRF but is not perfect across all browsers and flows. Defense in depth keeps tokens.