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GetObject permission to any public anonymous users.
For a list of permissions and the operations that they allow, see Specifying Permissions in a Policy. This permission allows anyone to read the object data, which is useful for when you configure your bucket as a website and want everyone to be able to read objects in the bucket.
When you grant anonymous access, anyone in the world can access your bucket. We highly recommend that you never grant any kind of anonymous write access to your S3 bucket. Restricting Access to Specific IP Addresses The following example grants permissions Inventory case any user to perform any Amazon S3 operations on objects in the specified bucket.
However, the request must originate from the range of IP addresses specified in the condition. The condition in this statement identifies the SourceIp condition key, which is an AWS-wide condition key. For more information about these condition keys, see Specifying Conditions in a Policy. The following example bucket policy shows how to mix IPv4 and IPv6 address ranges to cover all of your organization's valid IP addresses.
The example policy would allow access to the example IP addresses The IPv6 values for aws: For IPv6 we support using:: By default, all the S3 resources are private, so only the AWS account that created the resources can access them. To allow read access to these objects from your website, you can add a bucket policy that allows s3: GetObject permission with a condition, using the aws: The following policy specifies the StringLike condition with the aws: You can further secure access to objects in the examplebucket bucket by adding explicit deny to the bucket policy as shown in the following example.
Explicit deny supersedes any permission you might grant to objects in the examplebucket bucket using other means such as ACLs or user policies. You must specify the canonical user ID for your CloudFront distribution's origin access identity.
Multi-factor authentication provides an extra level of security you can apply to your AWS environment. It is a security feature that requires users to prove physical possession of an MFA device by providing a valid MFA code.
You can enforce the MFA authentication requirement using the aws: MultiFactorAuthAge key in a bucket policy.
MultiFactorAuthAge key provides a numeric value indicating how long ago in seconds the temporary credential was created.
If the temporary credential provided in the request was not created using an MFA device, this key value is null absent.
In a bucket policy, you can add a condition to check this value, as shown in the following example bucket policy.
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MultiFactorAuthAge key value is null, indicating that the temporary security credentials in the request were created without the MFA key.
The following bucket policy is an extension of the preceding bucket policy. It includes two policy statements. One statement allows the s3: MultiFactorAuthAge key is valid, independent of the lifetime of the temporary security credential used in authenticating the request.
For example, the following bucket policy, in addition to requiring MFA authentication, also checks how long ago the temporary session was created. The policy denies any operation if the aws: MultiFactorAuthAge key value indicates that the temporary session was created more than an hour ago 3, seconds.
However, you may decide that as a bucket owner you must have full control of the objects uploaded to your bucket. The following policy enforces that a specific AWS account be denied the ability to upload objects unless that account grants full-control access to the bucket owner identified by the email address xyz amazon.
The StringNotEquals condition in the policy specifies the s3: The bucket that the inventory lists the objects for is called the source bucket.
The bucket where the inventory file is written and the bucket where the analytics export file is written is called a destination bucket. You must create a bucket policy for the destination bucket when setting up inventory for an S3 bucket and when setting up the analytics export.
The following example bucket policy grants Amazon S3 permission to write objects PUTs from the account for the source bucket to the destination bucket.Inbound Logistics' glossary of transportation, logistics, supply chain, and international trade terms can help you navigate through confusion and get to the meaning behind industry jargon.
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