s3tk:一款针对Amazon S3的安全审计套件
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。
工具安装
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 awscli
aws configure
工具使用命令
安全扫描
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:...
枚举策略
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
启用默认加密
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
扫描对象ACL
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"
扫描DNS
s3tk scan-dns
凭证
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
IAM策略
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/*"
]
}
]
}
访问日志
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:
SELECT
date_parse(time, '%d/%b/%Y:%H:%i:%S +0000') AS time,
request_url,
remote_ip,
user_agent
FROM
my_bucket
WHERE
requester = '-'
AND status_code LIKE '2%'
AND request_url LIKE '/some-keys%'
ORDER BY 1
CloudTrail日志
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:
SELECT
eventTime,
eventName,
userIdentity.userName,
requestParameters
FROM
cloudtrail_logs
WHERE
eventName LIKE '%Bucket%'
ORDER BY 1
Bucket策略
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Deny",
"Principal": "*",
"Action": "s3:PutObjectAcl",
"Resource": "arn:aws:s3:::my-bucket/*"
}
]
}
工具更新
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
Docker运行
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
工具运行截图
项目地址
s3tk:【GitHub传送门】
* 参考来源:ankane,FB小编Alpha_h4ck编译,转载请注明来自FreeBuf.COM
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