了解IAM政策 [英] Understanding IAM policies

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本文介绍了了解IAM政策的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我最近遇到了一个问题,使用代码构建时的IAM策略.而且,我试图了解以下两种策略之间的区别,并检查使用版本2而不是版本1是否有安全隐患.

I recently ran into a problem with IAM policies while using Code-Build. And I am trying to understand the difference between the following 2 policies and check if there are any security implications of using version 2 over version 1.

版本1不起作用,所以我决定使用版本2.但是为什么版本2起作用,为什么版本1不起作用?

Version 1 doesn't work, so I decided to go with version 2. But why does version 2 work and why doesn't version 1 doesn't work?

版本1仅允许访问CodePipeline资源,并允许读写S3存储桶对象.

Version 1 only gives access to the CodePipeline resource and allows to read and write to S3 bucket object.

但是版本2可以访问所有S3存储桶,不是吗?这会被视为安全漏洞吗?

However Version 2 gives access to all S3 buckets, doesn't it? Would this be considered a security loophole?

版本1

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Resource": [
                "arn:aws:logs:ap-southeast-1:682905754632:log-group:/aws/codebuild/Backend-API-Build",
                "arn:aws:logs:ap-southeast-1:682905754632:log-group:/aws/codebuild/Backend-API-Build:*"
            ],
            "Action": [
                "logs:CreateLogGroup",
                "logs:CreateLogStream",
                "logs:PutLogEvents"
            ]
        },
        {
            "Effect": "Allow",
            "Resource": [
                "arn:aws:s3:::codepipeline-ap-southeast-1-*"
            ],
            "Action": [
                "s3:PutObject",
                "s3:GetObject",
                "s3:GetObjectVersion"
            ]
        }
    ]
}

版本2

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Resource": [
                "arn:aws:logs:ap-southeast-1:682905754632:log-group:/aws/codebuild/Backend-API-Build",
                "arn:aws:logs:ap-southeast-1:682905754632:log-group:/aws/codebuild/Backend-API-Build:*"
            ],
            "Action": [
                "logs:CreateLogGroup",
                "logs:CreateLogStream",
                "logs:PutLogEvents"
            ]
        },
        {
            "Effect": "Allow",
            "Resource": [
                "arn:aws:s3:::codepipeline-ap-southeast-1-*"
            ],
            "Action": [
                "s3:PutObject",
                "s3:GetObject",
                "s3:GetObjectVersion"
            ]
        },
{
  "Sid": "S3AccessPolicy",
  "Effect": "Allow",
  "Action": [
    "s3:CreateBucket",
    "s3:GetObject",
    "s3:List*",
    "s3:PutObject"
  ],
  "Resource": "*"
  }
    ]
}

推荐答案

我已经通过授予对特定S3存储桶的受限访问权限来复制该方案.

I have replicated the scenario by giving the restricted access to specific S3 Bucket.

第1块:允许所需的Amazon S3控制台权限.在这里,我已授予CodePipeline列出AWS账户中的所有存储桶.

Block 1: Allow required Amazon S3 console permissions Here i have granted CodePipeline to list all the buckets in the AWS account.

第2块:允许列出根文件夹中的对象,这里我的S3存储桶名称为"aws-codestar-us-east-1-493865049436-larvel-test-pipe"

Block 2: Allow listing objects in root folders here my S3 Bucket Name is "aws-codestar-us-east-1-493865049436-larvel-test-pipe"

但是当我遵循从创建CodePipeline到从同一Pipeline Console本身创建构建的步骤时,我感到惊讶,我得到了与您的版本1相同的策略,并且它也执行了.但是,下一步,我按照下面的策略对S3中的存储桶赋予了特定的权限,并且该存储桶已经起作用.因此,在第二个版本中,而不是向资源授予所有权限Resource:" *,您可以将权限限制为仅特定于存储桶的权限,如以下示例策略

but i am surprised as when i followed the Steps from Creating CodePipeline to Create Build from the same Pipeline Console itself, i had got the same policy as your version 1 and it executed as well. However, as a next step, i gave a specific permission to a bucket in S3 as given below policy and it has worked. So in your version two rather than granting all permission to your resources Resource": "*" you can restrict a permission to a bucket only specific as described in below sample policy

{
   "Version": "2012-10-17",
   "Statement": [
    {
        "Effect": "Allow",
        "Resource": [
            "arn:aws:logs:us-east-1:493865049436:log-group:/aws/codebuild/larvel-test1",
            "arn:aws:logs:us-east-1:493865049436:log-group:/aws/codebuild/larvel-test1:*"
        ],
        "Action": [
            "logs:CreateLogGroup",
            "logs:CreateLogStream",
            "logs:PutLogEvents"
        ]
    },
    {
        "Effect": "Allow",
        "Resource": [
            "arn:aws:s3:::codepipeline-us-east-1-*"
        ],
        "Action": [
            "s3:PutObject",
            "s3:GetObject",
            "s3:GetObjectVersion"
        ]
    },
    {
        "Effect": "Allow",
        "Resource": [
            "arn:aws:s3:::aws-codestar-us-east-1-493865049436-larvel-test-pipe/*" 
        ],
        "Action": [
            "s3:PutObject",
            "s3:GetObject",
            "s3:GetObjectVersion"
        ]
    }
]
}

这篇关于了解IAM政策的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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