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User Guide

Miscellaneous

Miscellaneous

This section answers frequently asked questions about WAF that are not covered in other FAQ topics.

How do I troubleshoot Traffic Log Setting errors?

If your traffic log export is failing, check the notification message for details on the issue. Below are common errors and their possible causes:

Server Type

Error Message

Description

AWS S3

S3 bucket connection failure from our traffic log server

The AWS IAM user corresponding to the S3 bucket lacks the necessary permissions.

Please check and update the IAM user permissions in AWS to ensure the required access is granted.

AWS S3

The specified bucket does not exist

The specified S3 bucket does not exist.

Please recreate the bucket or update the configuration to the correct bucket name.

AWS S3

The AWS Access Key Id you provided does not exist in our records

The IAM credentials you provided are either non-existent, invalid, or expired.

Please update the credentials in WAF > Log Settings, under Traffic Log Export to ensure proper authentication.

Azure Blob

ContainerNotFound (404)

The specified Azure blob container does not exist.

Please update the container name to a valid and existing container.

Azure Blob

AuthenticationFailed (403)

The Azure Blob credential is invalid, which may be caused by an incorrect access key or an improperly configured Azure Blob network firewall.

Please update your access key in WAF > Log Settings, under Traffic Log Export, and check the network configuration in Azure Blob to ensure proper access.

Why are some IP addresses unable to access to my application?

Check if the IP address in question has been blocked for security reasons by navigating to WAF > FortiView > Blocked IPs. For instructions on reviewing and releasing blocked IP addresses, see Review and release blocked IP addresses.

How does WAF build machine learning models for ML Based API Protection and Anomaly Detection?

Anomaly Detection learns and builds models based on URL parameters and form parameters.

ML Based API Protection is designed specifically for requests with JSON-formatted bodies, learning the structure and fields within the JSON payload.

Miscellaneous

Miscellaneous

This section answers frequently asked questions about WAF that are not covered in other FAQ topics.

How do I troubleshoot Traffic Log Setting errors?

If your traffic log export is failing, check the notification message for details on the issue. Below are common errors and their possible causes:

Server Type

Error Message

Description

AWS S3

S3 bucket connection failure from our traffic log server

The AWS IAM user corresponding to the S3 bucket lacks the necessary permissions.

Please check and update the IAM user permissions in AWS to ensure the required access is granted.

AWS S3

The specified bucket does not exist

The specified S3 bucket does not exist.

Please recreate the bucket or update the configuration to the correct bucket name.

AWS S3

The AWS Access Key Id you provided does not exist in our records

The IAM credentials you provided are either non-existent, invalid, or expired.

Please update the credentials in WAF > Log Settings, under Traffic Log Export to ensure proper authentication.

Azure Blob

ContainerNotFound (404)

The specified Azure blob container does not exist.

Please update the container name to a valid and existing container.

Azure Blob

AuthenticationFailed (403)

The Azure Blob credential is invalid, which may be caused by an incorrect access key or an improperly configured Azure Blob network firewall.

Please update your access key in WAF > Log Settings, under Traffic Log Export, and check the network configuration in Azure Blob to ensure proper access.

Why are some IP addresses unable to access to my application?

Check if the IP address in question has been blocked for security reasons by navigating to WAF > FortiView > Blocked IPs. For instructions on reviewing and releasing blocked IP addresses, see Review and release blocked IP addresses.

How does WAF build machine learning models for ML Based API Protection and Anomaly Detection?

Anomaly Detection learns and builds models based on URL parameters and form parameters.

ML Based API Protection is designed specifically for requests with JSON-formatted bodies, learning the structure and fields within the JSON payload.