这篇文章主要介绍s3tk是一款什么安全审计套件，文中介绍的非常详细，具有一定的参考价值，感兴趣的小伙伴们一定要看完！
s3tk是一款针对Amazon S3的安全审计套件，广大安全研究人员可以使用s3tk来对Amazon S3 Bucket进行安全测试。
广大研究人员可以使用pip来完成s3tk的安装：
pip install s3tk
研究人员可以使用AWS CLI命令行工具来配置AWS凭证：
pip install awscliaws configure
可扫描的Bucket组件如下：
1、公开ACL
2、公开策略
3、屏蔽的公开访问
4、启用的登录
5、版本修改
6、默认加密
s3tk scan
针对特定Bucket运行扫描：
s3tk scan my-bucket my-bucket-2
支持通配符：
s3tk scan "my-bucket*"
跳过日志和默认加密：
s3tk scan --skip-logging --skip-versioning --skip-default-encryption
获取邮件通知（通过SNS）：
s3tk scan --sns-topic arn:aws:sns:...
枚举Bucket策略：
s3tk list-policy
针对特定Bucket运行扫描：
s3tk list-policy my-bucket my-bucket-2
显示名称：
s3tk list-policy --named
设置策略：
s3tk set-policy my-bucket --no-object-acl
删除策略：
s3tk delete-policy my-bucket
屏蔽公开访问：
s3tk block-public-access my-bucket my-bucket-2
针对所有Bucket启用默认加密：
s3tk enable-default-encryption
仅针对特定Bucket启用：
s3tk enable-default-encryption my-bucket my-bucket-2
扫描目标Bucket中所有对象的ACL：
s3tk scan-object-acl my-bucket
扫描特定对象：
s3tk scan-object-acl my-bucket --only "*.pdf"
排除特定对象：
s3tk scan-object-acl my-bucket --except "*.jpg"
s3tk scan-dns
用户凭证可以在“~/.aws/credentials”中或环境变量中设置，我们可以使用下列命令设置一个profile：
AWS_PROFILE=your-profile s3tk
下面给出的是每一条命令所需的权限，用户只需要将相应权限在下列代码中声明即可：
{"Version": "2012-10-17","Statement": [
{"Sid": "Scan","Effect": "Allow","Action": ["s3:ListAllMyBuckets","s3:GetBucketAcl","s3:GetBucketPolicy","s3:GetBucketPublicAccessBlock","s3:GetBucketLogging","s3:GetBucketVersioning","s3:GetEncryptionConfiguration"],"Resource": "*"},
{"Sid": "ScanDNS","Effect": "Allow","Action": ["s3:ListAllMyBuckets","route53:ListHostedZones","route53:ListResourceRecordSets"],"Resource": "*"},
{"Sid": "ListPolicy","Effect": "Allow","Action": ["s3:ListAllMyBuckets","s3:GetBucketPolicy"],"Resource": "*"},
{"Sid": "SetPolicy","Effect": "Allow","Action": ["s3:PutBucketPolicy"],"Resource": "*"},
{"Sid": "DeletePolicy","Effect": "Allow","Action": ["s3:DeleteBucketPolicy"],"Resource": "*"},
{"Sid": "BlockPublicAccess","Effect": "Allow","Action": ["s3:ListAllMyBuckets","s3:PutBucketPublicAccessBlock"],"Resource": "*"},
{"Sid": "EnableLogging","Effect": "Allow","Action": ["s3:ListAllMyBuckets","s3:PutBucketLogging"],"Resource": "*"},
{"Sid": "EnableVersioning","Effect": "Allow","Action": ["s3:ListAllMyBuckets","s3:PutBucketVersioning"],"Resource": "*"},
{"Sid": "EnableDefaultEncryption","Effect": "Allow","Action": ["s3:ListAllMyBuckets","s3:PutEncryptionConfiguration"],"Resource": "*"},
{"Sid": "ResetObjectAcl","Effect": "Allow","Action": ["s3:ListBucket","s3:GetObjectAcl","s3:PutObjectAcl"],"Resource": ["arn:aws:s3:::my-bucket","arn:aws:s3:::my-bucket/*"]
},
{"Sid": "Encrypt","Effect": "Allow","Action": ["s3:ListBucket","s3:GetObject","s3:PutObject"],"Resource": ["arn:aws:s3:::my-bucket","arn:aws:s3:::my-bucket/*"]
},
{"Sid": "DeleteUnencryptedVersions","Effect": "Allow","Action": ["s3:ListBucketVersions","s3:GetObjectVersion","s3:DeleteObjectVersion"],"Resource": ["arn:aws:s3:::my-bucket","arn:aws:s3:::my-bucket/*"]
}
]
}Amazon Athena适用于查询S3日志，创建下列表：
CREATE EXTERNAL TABLE my_bucket (
bucket_owner string,
bucket string,time string,
remote_ip string,
requester string,
request_id string,
operation string,
key string,
request_verb string,
request_url string,
request_proto string,
status_code string,
error_code string,
bytes_sent string,
object_size string,
total_time string,
turn_around_time string,
referrer string,
user_agent string,
version_id string
)
ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.RegexSerDe'WITH SERDEPROPERTIES ('serialization.format' = '1','input.regex' = '([^ ]*) ([^ ]*) \\[(.*?)\\] ([^ ]*) ([^ ]*) ([^ ]*) ([^ ]*) ([^ ]*) \\\"([^ ]*) ([^ ]*) (- |[^ ]*)\\\" (-|[0-9]*) ([^ ]*) ([^ ]*) ([^ ]*) ([^ ]*) ([^ ]*) ([^ ]*) (\"[^\"]*\\") ([^ ]*)$') LOCATION 's3://my-s3-logs/my-bucket/';修改最后一行代码，并指向你的日志Bucket：
SELECTdate_parse(time, '%d/%b/%Y:%H:%i:%S +0000') AS time, request_url, remote_ip, user_agentFROMmy_bucketWHERErequester = '-'AND status_code LIKE '2%'AND request_url LIKE '/some-keys%'ORDER BY 1
Amazon Athena同样可以用于查询CloudTrail日志，创建一个表：
CREATE EXTERNAL TABLE cloudtrail_logs ( eventversion STRING, userIdentity STRUCT<type:STRING, principalid:STRING, arn:STRING, accountid:STRING, invokedby:STRING, accesskeyid:STRING, userName:String, sessioncontext:STRUCT<attributes:STRUCT<mfaauthenticated:STRING, creationdate:STRING>, sessionIssuer:STRUCT<type:STRING, principalId:STRING, arn:STRING, accountId:STRING, userName:STRING>>>, eventTime STRING, eventSource STRING, eventName STRING, awsRegion STRING, sourceIpAddress STRING, userAgent STRING, errorCode STRING, errorMessage STRING, requestId STRING, eventId STRING, resources ARRAY<STRUCT<ARN:STRING, accountId:STRING, type:STRING>>, eventType STRING, apiVersion STRING, readOnly BOOLEAN, recipientAccountId STRING, sharedEventID STRING, vpcEndpointId STRING, requestParameters STRING, responseElements STRING, additionalEventData STRING, serviceEventDetails STRING ) ROW FORMAT SERDE 'com.amazon.emr.hive.serde.CloudTrailSerde'STORED AS INPUTFORMAT 'com.amazon.emr.cloudtrail.CloudTrailInputFormat'OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'LOCATION 's3://my-cloudtrail-logs/'
修改最后一行代码，并指向你的CloudTrail日志Bucket：
SELECTeventTime, eventName,userIdentity.userName, requestParametersFROMcloudtrail_logsWHEREeventName LIKE '%Bucket%'ORDER BY 1
{"Version": "2012-10-17","Statement": [
{"Effect": "Deny","Principal": "*","Action": "s3:PutObjectAcl","Resource": "arn:aws:s3:::my-bucket/*"}
]
}运行下列命令：
pip install s3tk --upgrade
使用Master，可运行下列命令：
pip install git+https://github.com/ankane/s3tk.git --upgrade
运行下列命令：
docker run -it ankane/s3tk aws configure
提交你的凭证：
docker commit $(docker ps -l -q) my-s3tk
接下来，运行下列命令：
docker run -it my-s3tk s3tk scan
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