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biskit
Advisor

URLF Blocked vs Reject?

Why is some web traffic blocked, and other traffic rejected?  I’m having problems with Facebook and YouTube.

I have a Spark 1500, R81.10.05, currently managed via the Infinity Portal Spark Management, but I’ve also turn off Cloud management and tried locally and get the same results.

I have HTTPS Inspection enabled.  Trying to go back to basics, I’ve turn off all “bypass” categories:

biskit_0-1694775304841.png

 

As a test I enabled URLF, in the Block Other… box I only have Media Streams selected.

biskit_1-1694775304852.png

 

 

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When I browse to https://vimeo.com I get a User Check block page.  The log shows the connection as “Blocked” and I see the redirect.  Great!  That’s what I expect.

 

biskit_3-1694775304860.jpeg

 

 

 

But…

When I browse to https://youtube.com I do not get the block message.  Instead I just get “can’t reach this page”, and the log shows a Reject, and also that HTTPS Inspection was bypassed.

biskit_4-1694775304863.jpeg

 

 

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Exactly the same thing happens when I add Facebook to the Block Other… group.  It is rejected, HTTPS bypassed, and I get no User Check block message.

 

Why do some sites get correctly categorised, blocked, and redirected to the User Check block page, while others are bypassed and rejected with no block message?  Why is YouTube and Facebook HTTPS Bypassed and then rejected with no block message?

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2 Replies
PhoneBoy
Admin
Admin

To generate a block page consistently, HTTPS Inspection must be enabled.
This is because it is not possible to inject a block page once an HTTPS session starts because…it’s encrypted.
In this situation, you will get the “can’t reach this page” error.
In other words, this is expected behavior.

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biskit
Advisor

HTTPS Inspection is already on.
I've put the same Spark box onto a proper SmartCenter today and from limited testing, I think I'm seeing the same behaviour.   All sites tested are HTTPS and some sites get the block message, others get the "page not found" message.   I can't figure out a pattern at the moment.  Maybe it's a Spark issue?  I'll test further next week and compare the same policy installed to a non-Spark.

 

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