There are 12 posts filed in Python (this is page 1 of 3).
In this video I show how setup Flask and Apache on an Ubuntu VM in Digital Ocean with a custom domain. This was made after someone in the comments on my other DigitalOcean video requested it. If there is something else anyone would like to see, please just let me know I am happy to provide these walk through’s.
Note: I hit a number of challenges with DNS in this one, I think it’s fun to watch me struggle. Enjoy!
AWS Lambda functions are a great way to run some code on a trigger/schedule without needing a whole server dedicated to it. They can be cost effective, but be careful depending on how long they run, and the number of executions per hour, they can be quite costly as well.
For my use case, I wanted to create snapshot backups of EBS volumes for a Mongo Database every day. I originally implemented this using only CloudWatch, which is a monitoring service, but because it’s focused on scheduling, AWS also uses it for other things that require scheduling/cron like features. Unfortunately, the CloudWatch implementation of snapshot backups was very limited. I could not ‘tag’ the backups, which was certainly something I needed for easy finding and cleanups later (past a retention period).
Anyway, there were a couple pitfalls I ran into when creating this function.
AWSLambdaVPCAccessExecutionRole, with permissions for the necessary EC2 actions (ec2:CreateNetworkInterface, ec2:DescribeNetworkInterfaces, and ec2:DeleteNetworkInterface) that you can use when creating a role”
I think that was it, after that everything worked fine. To finish this short article off, screenshots and the code!
And finally the code…
# Backup cis volumes
import boto3
def lambda_handler(event, context):
ec2 = boto3.client('ec2')
reg = 'us-east-1'
# Connect to region
ec2 = boto3.client('ec2', region_name=reg)
response = ec2.describe_instances(Filters=[{'Name': 'instance-state-name', 'Values': ['running']},
{'Name': 'tag-key', 'Values': ['Name']},
{'Name': 'tag-value', 'Values': ['cis-mongo*']},
])
for r in response['Reservations']:
for i in r['Instances']:
for mapping in i['BlockDeviceMappings']:
volId = mapping['Ebs']['VolumeId']
# Create snapshot
result = ec2.create_snapshot(VolumeId=volId,
Description='Created by Lambda backup function ebs-snapshots')
# Get snapshot resource
ec2resource = boto3.resource('ec2', region_name=reg)
snapshot = ec2resource.Snapshot(result['SnapshotId'])
# Add volume name to snapshot for easier identification
snapshot.create_tags(Tags=[{'Key': 'Name', 'Value': 'cis-mongo-snapshot-backup'}])
And here is an additional function to add for cleanup
import boto3
from datetime import timedelta, datetime
def lambda_handler(event, context):
# if older than days delete
days = 14
filters = [{'Name': 'tag:Name', 'Values': ['cis-mongo-snapshot-backup']}]
ec2 = boto3.setup_default_session(region_name='us-east-1')
client = boto3.client('ec2')
snapshots = client.describe_snapshots(Filters=filters)
for snapshot in snapshots["Snapshots"]:
start_time = snapshot["StartTime"]
delete_time = datetime.now(start_time.tzinfo) - timedelta(days=days)
if start_time < delete_time:
print 'Deleting {id}'.format(id=snapshot["SnapshotId"])
client.delete_snapshot(SnapshotId=snapshot["SnapshotId"], DryRun=False)
The end, happy server-lessing (ha !)
Boto is a Software Development Kit for accessing the AWS API’s using Python.
Recently, I needed to determine how many of my EC2 instances were spawned in a public subnet, that also had security groups with wide open access on any port via any protocol to the instances. Because I have an IGW (Internet Gateway) in my VPC’s and properly setup routing tables, instances launched in the public subnets with wide open security groups (allowing ingress traffic from any source) is a really bad thing 🙂
Here is the code I wrote to identify these naughty instances. It will require slight modifications in your own environment, to match your public subnet IP Ranges, EC2 Tags, and Account names.
#!/usr/bin/env python
__author__ = 'Jason Riedel'
__description__ = 'Find EC2 instances provisioned in a public subnet that have security groups allowing ingress traffic from any source.'
__date__ = 'June 5th 2016'
__version__ = '1.0'
import boto3
def find_public_addresses(ec2):
public_instances = {}
instance_public_ips = {}
instance_private_ips = {}
instance_ident = {}
instances = ec2.instances.filter(Filters=[{'Name': 'instance-state-name', 'Values': ['running'] }])
# Ranges that you define as public subnets in AWS go here.
public_subnet_ranges = ['10.128.0', '192.168.0', '172.16.0']
for instance in instances:
# I only care if the private address falls into a public subnet range
# because if it doesnt Internet ingress cant reach it directly anyway even with a public IP
if any(cidr in instance.private_ip_address for cidr in public_subnet_ranges):
owner_tag = "None"
instance_name = "None"
if instance.tags:
for i in range(len(instance.tags)):
#comment OwnerEmail tag out if you do not tag your instances with it.
if instance.tags[i]['Key'] == "OwnerEmail":
owner_tag = instance.tags[i]['Value']
if instance.tags[i]['Key'] == "Name":
instance_name = instance.tags[i]['Value']
instance_ident[instance.id] = "Name: %s\n\tKeypair: %s\n\tOwner: %s" % (instance_name, instance.key_name, owner_tag)
if instance.public_ip_address is not None:
values=[]
for i in range(len(instance.security_groups)):
values.append(instance.security_groups[i]['GroupId'])
public_instances[instance.id] = values
instance_public_ips[instance.id] = instance.public_ip_address
instance_private_ips[instance.id] = instance.private_ip_address
return (public_instances, instance_public_ips,instance_private_ips, instance_ident)
def inspect_security_group(ec2, sg_id):
sg = ec2.SecurityGroup(sg_id)
open_cidrs = []
for i in range(len(sg.ip_permissions)):
to_port = ''
ip_proto = ''
if 'ToPort' in sg.ip_permissions[i]:
to_port = sg.ip_permissions[i]['ToPort']
if 'IpProtocol' in sg.ip_permissions[i]:
ip_proto = sg.ip_permissions[i]['IpProtocol']
if '-1' in ip_proto:
ip_proto = 'All'
for j in range(len(sg.ip_permissions[i]['IpRanges'])):
cidr_string = "%s %s %s" % (sg.ip_permissions[i]['IpRanges'][j]['CidrIp'], ip_proto, to_port)
if sg.ip_permissions[i]['IpRanges'][j]['CidrIp'] == '0.0.0.0/0':
#preventing an instance being flagged for only ICMP being open
if ip_proto != 'icmp':
open_cidrs.append(cidr_string)
return open_cidrs
if __name__ == "__main__":
#loading profiles from ~/.aws/config & credentials
profile_names = ['de', 'pe', 'pde', 'ppe']
#Translates profile name to a more friendly name i.e. Account Name
translator = {'de': 'Platform Dev', 'pe': 'Platform Prod', 'pde': 'Products Dev', 'ppe': 'Products Prod'}
for profile_name in profile_names:
session = boto3.Session(profile_name=profile_name)
ec2 = session.resource('ec2')
(public_instances, instance_public_ips, instance_private_ips, instance_ident) = find_public_addresses(ec2)
for instance in public_instances:
for sg_id in public_instances[instance]:
open_cidrs = inspect_security_group(ec2, sg_id)
if open_cidrs: #only print if there are open cidrs
print "=================================="
print " %s, %s" % (instance, translator[profile_name])
print "=================================="
print "\tprivate ip: %s\n\tpublic ip: %s\n\t%s" % (instance_private_ips[instance], instance_public_ips[instance], instance_ident[instance])
print "\t=========================="
print "\t open ingress rules"
print "\t=========================="
for cidr in open_cidrs:
print "\t\t" + cidr
To run this you also need to setup your .aws/config and .aws/credentials file.
http://docs.aws.amazon.com/cli/latest/userguide/cli-chap-getting-started.html#cli-config-files
Email me tuxninja [at] tuxlabs.com if you have any issues.
Boto is awesome 🙂 Note so is the AWS CLI, but requires some shell scripting as opposed to Python to do cool stuff.
The github for this code here https://github.com/jasonriedel/AWS/blob/master/sg-audit.py
Enjoy !
I have been spending a lot of time designing a Hybrid Cloud that consists of Openstack and public cloud platforms. In particular I have been spending a lot of time designing the AWS portion of the Hybrid Cloud Platform. Today I found myself continually needing to look up AWS public address space and then parsing out regions & services. Then I remembered something a mentor of mine told me…
if you are going to do something more than once, there is probably value in automating it.
I love writing command line tools and thus a short Python script was born. Since I rarely share Python code, even though I didn’t spend a lot time on this, and I certainly didn’t optimize it for DRY etc. I am sharing it anyway for others to use, enjoy and hack on,
but mainly to learn, which is…The entire purpose of the Tuxlabs site
I should mention I have strong views about when to use Python vs. Go a language I find myself writing in more and more and this tool falls under my rules for things that I should write in Go. So later as a follow up I will likely re-code this in Go and post the code for review & learning. For now here’s the Python code, enjoy !
(env) ➜ aws python aws-ranges.py region ip_prefix service -------------- ----------------- -------------------- us-east-1 23.20.0.0/14 AMAZON ap-northeast-1 27.0.0.0/22 AMAZON ap-southeast-1 43.250.192.0/24 AMAZON ap-southeast-1 43.250.193.0/24 AMAZON eu-west-1 46.51.128.0/18 AMAZON eu-west-1 46.51.192.0/20 AMAZON ap-southeast-1 46.51.216.0/21 AMAZON ap-northeast-1 46.51.224.0/19 AMAZON eu-west-1 46.137.0.0/17 AMAZON eu-west-1 46.137.128.0/18 AMAZON ap-southeast-1 46.137.192.0/19 AMAZON ap-southeast-1 46.137.224.0/19 AMAZON us-east-1 50.16.0.0/15 AMAZON us-west-1 50.18.0.0/16 AMAZON us-east-1 50.19.0.0/16 AMAZON us-west-2 50.112.0.0/16 AMAZON us-east-1 52.0.0.0/15 AMAZON us-east-1 52.2.0.0/15 AMAZON us-east-1 52.4.0.0/14 AMAZON us-west-1 52.8.0.0/16 AMAZON us-west-1 52.9.0.0/16 AMAZON us-west-2 52.10.0.0/15 AMAZON us-west-2 52.12.0.0/15 AMAZON eu-west-1 52.16.0.0/15 AMAZON eu-west-1 52.18.0.0/15 AMAZON us-east-1 52.20.0.0/14 AMAZON us-west-2 52.24.0.0/14 AMAZON eu-central-1 52.28.0.0/16 AMAZON eu-central-1 52.29.0.0/16 AMAZON eu-west-1 52.30.0.0/15 AMAZON us-west-2 52.32.0.0/14 AMAZON us-west-2 52.36.0.0/14 AMAZON us-west-2 52.40.0.0/14 AMAZON eu-west-1 52.48.0.0/14 AMAZON us-west-1 52.52.0.0/15 AMAZON eu-central-1 52.58.0.0/15 AMAZON ap-southeast-2 52.62.0.0/15 AMAZON ap-southeast-2 52.64.0.0/17 AMAZON ap-southeast-2 52.64.128.0/17 AMAZON ap-southeast-2 52.65.0.0/16 AMAZON sa-east-1 52.67.0.0/16 AMAZON ap-northeast-1 52.68.0.0/15 AMAZON us-east-1 52.70.0.0/15 AMAZON us-east-1 52.72.0.0/15 AMAZON ap-southeast-1 52.74.0.0/16 AMAZON ap-southeast-1 52.76.0.0/17 AMAZON ap-southeast-1 52.76.128.0/17 AMAZON ap-southeast-1 52.77.0.0/16 AMAZON ap-northeast-2 52.79.0.0/16 AMAZON GLOBAL 52.84.0.0/15 AMAZON us-east-1 52.86.0.0/15 AMAZON us-west-2 52.88.0.0/15 AMAZON us-east-1 52.90.0.0/15 AMAZON ap-northeast-2 52.92.0.0/20 AMAZON us-east-1 52.92.16.0/20 AMAZON us-west-2 52.92.32.0/22 AMAZON sa-east-1 52.92.39.0/24 AMAZON eu-west-1 52.92.40.0/21 AMAZON us-west-1 52.92.48.0/22 AMAZON ap-southeast-2 52.92.52.0/22 AMAZON ap-southeast-1 52.92.56.0/22 AMAZON ap-northeast-1 52.92.60.0/22 AMAZON sa-east-1 52.92.64.0/22 AMAZON eu-central-1 52.92.68.0/22 AMAZON sa-east-1 52.92.72.0/22 AMAZON us-gov-west-1 52.92.252.0/22 AMAZON eu-west-1 52.93.0.0/24 AMAZON us-east-1 52.93.1.0/24 AMAZON eu-west-1 52.93.2.0/24 AMAZON us-east-1 52.93.3.0/24 AMAZON ap-southeast-1 52.93.8.0/22 AMAZON us-east-1 52.94.0.0/22 AMAZON eu-west-1 52.94.5.0/24 AMAZON ap-northeast-2 52.94.6.0/24 AMAZON sa-east-1 52.94.7.0/24 AMAZON ap-northeast-1 52.94.8.0/24 AMAZON us-gov-west-1 52.94.9.0/24 AMAZON us-west-2 52.94.10.0/24 AMAZON ap-southeast-1 52.94.11.0/24 AMAZON us-west-1 52.94.12.0/24 AMAZON ap-southeast-2 52.94.13.0/24 AMAZON us-west-1 52.94.14.0/24 AMAZON us-east-1 52.94.254.0/23 AMAZON ap-northeast-1 52.95.30.0/23 AMAZON ap-northeast-1 52.95.34.0/24 AMAZON ap-southeast-1 52.95.35.0/24 AMAZON ap-southeast-2 52.95.36.0/22 AMAZON us-east-1 52.95.48.0/22 AMAZON us-east-1 52.95.52.0/22 AMAZON ap-northeast-1 52.95.56.0/22 AMAZON eu-west-1 52.95.60.0/24 AMAZON eu-west-1 52.95.61.0/24 AMAZON us-east-1 52.95.62.0/24 AMAZON us-east-1 52.95.63.0/24 AMAZON ap-northeast-2 52.95.192.0/20 AMAZON ap-southeast-1 52.95.212.0/22 AMAZON sa-east-1 52.95.240.0/24 AMAZON ap-southeast-2 52.95.241.0/24 AMAZON ap-southeast-1 52.95.242.0/24 AMAZON ap-northeast-1 52.95.243.0/24 AMAZON eu-west-1 52.95.244.0/24 AMAZON us-east-1 52.95.245.0/24 AMAZON us-west-1 52.95.246.0/24 AMAZON us-west-2 52.95.247.0/24 AMAZON eu-central-1 52.95.248.0/24 AMAZON cn-north-1 52.95.249.0/24 AMAZON ap-northeast-2 52.95.252.0/24 AMAZON sa-east-1 52.95.255.0/28 AMAZON ap-southeast-2 52.95.255.16/28 AMAZON ap-southeast-1 52.95.255.32/28 AMAZON ap-northeast-1 52.95.255.48/28 AMAZON eu-west-1 52.95.255.64/28 AMAZON us-east-1 52.95.255.80/28 AMAZON us-west-1 52.95.255.96/28 AMAZON us-west-2 52.95.255.112/28 AMAZON eu-central-1 52.95.255.128/28 AMAZON cn-north-1 52.95.255.144/28 AMAZON ap-northeast-1 52.192.0.0/15 AMAZON ap-northeast-1 52.196.0.0/14 AMAZON us-east-1 52.200.0.0/13 AMAZON eu-west-1 52.208.0.0/13 AMAZON ap-southeast-1 52.220.0.0/15 AMAZON ap-northeast-1 54.64.0.0/15 AMAZON ap-southeast-2 54.66.0.0/16 AMAZON us-west-1 54.67.0.0/16 AMAZON us-west-2 54.68.0.0/14 AMAZON eu-west-1 54.72.0.0/15 AMAZON eu-west-1 54.74.0.0/15 AMAZON eu-west-1 54.76.0.0/15 AMAZON eu-west-1 54.78.0.0/16 AMAZON ap-southeast-2 54.79.0.0/16 AMAZON us-east-1 54.80.0.0/13 AMAZON us-east-1 54.88.0.0/14 AMAZON ap-northeast-1 54.92.0.0/17 AMAZON us-east-1 54.92.128.0/17 AMAZON eu-central-1 54.93.0.0/16 AMAZON sa-east-1 54.94.0.0/16 AMAZON ap-northeast-1 54.95.0.0/16 AMAZON us-east-1 54.144.0.0/14 AMAZON us-west-2 54.148.0.0/15 AMAZON ap-northeast-1 54.150.0.0/16 AMAZON us-west-1 54.151.0.0/17 AMAZON ap-southeast-1 54.151.128.0/17 AMAZON us-east-1 54.152.0.0/16 AMAZON us-west-1 54.153.0.0/17 AMAZON ap-southeast-2 54.153.128.0/17 AMAZON eu-west-1 54.154.0.0/16 AMAZON eu-west-1 54.155.0.0/16 AMAZON us-east-1 54.156.0.0/14 AMAZON us-east-1 54.160.0.0/13 AMAZON ap-northeast-1 54.168.0.0/16 AMAZON ap-southeast-1 54.169.0.0/16 AMAZON eu-west-1 54.170.0.0/15 AMAZON us-east-1 54.172.0.0/15 AMAZON us-east-1 54.174.0.0/15 AMAZON us-west-1 54.176.0.0/15 AMAZON ap-northeast-1 54.178.0.0/16 AMAZON ap-southeast-1 54.179.0.0/16 AMAZON GLOBAL 54.182.0.0/16 AMAZON us-west-1 54.183.0.0/16 AMAZON us-west-2 54.184.0.0/13 AMAZON GLOBAL 54.192.0.0/16 AMAZON us-west-1 54.193.0.0/16 AMAZON eu-west-1 54.194.0.0/15 AMAZON us-east-1 54.196.0.0/15 AMAZON us-east-1 54.198.0.0/16 AMAZON ap-northeast-1 54.199.0.0/16 AMAZON us-west-2 54.200.0.0/15 AMAZON us-west-2 54.202.0.0/15 AMAZON us-east-1 54.204.0.0/15 AMAZON ap-southeast-2 54.206.0.0/16 AMAZON sa-east-1 54.207.0.0/16 AMAZON us-east-1 54.208.0.0/15 AMAZON us-east-1 54.210.0.0/15 AMAZON us-west-2 54.212.0.0/15 AMAZON us-west-2 54.214.0.0/16 AMAZON us-west-1 54.215.0.0/16 AMAZON eu-west-1 54.216.0.0/15 AMAZON us-west-2 54.218.0.0/16 AMAZON us-west-1 54.219.0.0/16 AMAZON eu-west-1 54.220.0.0/16 AMAZON us-east-1 54.221.0.0/16 AMAZON cn-north-1 54.222.0.0/19 AMAZON cn-north-1 54.222.128.0/17 AMAZON cn-north-1 54.223.0.0/16 AMAZON us-east-1 54.224.0.0/15 AMAZON us-east-1 54.226.0.0/15 AMAZON eu-west-1 54.228.0.0/16 AMAZON eu-west-1 54.229.0.0/16 AMAZON GLOBAL 54.230.0.0/16 AMAZON us-east-1 54.231.0.0/17 AMAZON eu-west-1 54.231.128.0/19 AMAZON us-west-2 54.231.160.0/19 AMAZON eu-central-1 54.231.192.0/20 AMAZON cn-north-1 54.231.208.0/20 AMAZON ap-northeast-1 54.231.224.0/21 AMAZON us-west-1 54.231.232.0/21 AMAZON ap-southeast-1 54.231.240.0/22 AMAZON us-east-1 54.231.244.0/22 AMAZON ap-southeast-2 54.231.248.0/22 AMAZON ap-southeast-2 54.231.252.0/24 AMAZON sa-east-1 54.231.253.0/24 AMAZON us-gov-west-1 54.231.254.0/24 AMAZON sa-east-1 54.232.0.0/16 AMAZON sa-east-1 54.233.0.0/18 AMAZON sa-east-1 54.233.64.0/18 AMAZON sa-east-1 54.233.128.0/17 AMAZON us-east-1 54.234.0.0/15 AMAZON us-east-1 54.236.0.0/15 AMAZON ap-northeast-1 54.238.0.0/16 AMAZON us-west-2 54.239.2.0/23 AMAZON eu-central-1 54.239.4.0/22 AMAZON us-east-1 54.239.8.0/21 AMAZON us-east-1 54.239.16.0/20 AMAZON eu-west-1 54.239.32.0/21 AMAZON us-west-2 54.239.48.0/22 AMAZON ap-northeast-1 54.239.52.0/23 AMAZON eu-central-1 54.239.54.0/23 AMAZON eu-central-1 54.239.56.0/21 AMAZON ap-northeast-1 54.239.96.0/24 AMAZON us-east-1 54.239.98.0/24 AMAZON eu-west-1 54.239.99.0/24 AMAZON eu-west-1 54.239.100.0/23 AMAZON us-east-1 54.239.104.0/23 AMAZON us-east-1 54.239.108.0/22 AMAZON eu-west-1 54.239.114.0/24 AMAZON ap-northeast-2 54.239.116.0/22 AMAZON ap-northeast-2 54.239.120.0/21 AMAZON GLOBAL 54.239.128.0/18 AMAZON GLOBAL 54.239.192.0/19 AMAZON GLOBAL 54.240.128.0/18 AMAZON ap-southeast-2 54.240.192.0/22 AMAZON us-east-1 54.240.196.0/24 AMAZON eu-west-1 54.240.197.0/24 AMAZON us-west-1 54.240.198.0/24 AMAZON ap-southeast-1 54.240.199.0/24 AMAZON ap-northeast-1 54.240.200.0/24 AMAZON us-east-1 54.240.202.0/24 AMAZON ap-southeast-2 54.240.203.0/24 AMAZON ap-southeast-2 54.240.204.0/22 AMAZON us-east-1 54.240.208.0/22 AMAZON us-west-1 54.240.212.0/22 AMAZON us-east-1 54.240.216.0/22 AMAZON eu-west-1 54.240.220.0/22 AMAZON ap-northeast-1 54.240.225.0/24 AMAZON ap-southeast-1 54.240.226.0/24 AMAZON ap-southeast-1 54.240.227.0/24 AMAZON us-east-1 54.240.228.0/23 AMAZON us-west-2 54.240.230.0/23 AMAZON us-east-1 54.240.232.0/22 AMAZON ap-northeast-2 54.240.236.0/22 AMAZON eu-central-1 54.240.240.0/24 AMAZON sa-east-1 54.240.244.0/22 AMAZON us-west-2 54.240.248.0/21 AMAZON us-west-1 54.241.0.0/16 AMAZON us-east-1 54.242.0.0/15 AMAZON us-west-2 54.244.0.0/16 AMAZON us-west-2 54.245.0.0/16 AMAZON eu-west-1 54.246.0.0/16 AMAZON eu-west-1 54.247.0.0/16 AMAZON ap-northeast-1 54.248.0.0/15 AMAZON ap-northeast-1 54.250.0.0/16 AMAZON ap-southeast-1 54.251.0.0/16 AMAZON ap-southeast-2 54.252.0.0/16 AMAZON ap-southeast-2 54.253.0.0/16 AMAZON ap-southeast-1 54.254.0.0/16 AMAZON ap-southeast-1 54.255.0.0/16 AMAZON us-east-1 67.202.0.0/18 AMAZON us-east-1 72.21.192.0/19 AMAZON us-east-1 72.44.32.0/19 AMAZON us-east-1 75.101.128.0/17 AMAZON eu-west-1 79.125.0.0/17 AMAZON eu-west-1 87.238.80.0/21 AMAZON us-gov-west-1 96.127.0.0/17 AMAZON ap-northeast-1 103.4.8.0/21 AMAZON ap-southeast-1 103.246.148.0/23 AMAZON ap-northeast-1 103.246.150.0/23 AMAZON us-east-1 107.20.0.0/14 AMAZON ap-southeast-1 122.248.192.0/18 AMAZON us-east-1 172.96.97.0/24 AMAZON us-east-1 174.129.0.0/16 AMAZON ap-southeast-1 175.41.128.0/18 AMAZON ap-northeast-1 175.41.192.0/18 AMAZON ap-northeast-1 176.32.64.0/19 AMAZON us-east-1 176.32.96.0/21 AMAZON eu-west-1 176.32.104.0/21 AMAZON us-west-1 176.32.112.0/21 AMAZON us-east-1 176.32.120.0/22 AMAZON us-west-2 176.32.125.0/25 AMAZON ap-northeast-1 176.34.0.0/19 AMAZON ap-northeast-1 176.34.32.0/19 AMAZON eu-west-1 176.34.64.0/18 AMAZON eu-west-1 176.34.128.0/17 AMAZON sa-east-1 177.71.128.0/17 AMAZON sa-east-1 177.72.240.0/21 AMAZON eu-west-1 178.236.0.0/20 AMAZON us-west-1 184.72.0.0/18 AMAZON us-east-1 184.72.64.0/18 AMAZON us-east-1 184.72.128.0/17 AMAZON us-east-1 184.73.0.0/16 AMAZON us-west-1 184.169.128.0/17 AMAZON eu-west-1 185.48.120.0/22 AMAZON ap-southeast-1 203.83.220.0/22 AMAZON us-west-1 204.236.128.0/18 AMAZON us-east-1 204.236.192.0/18 AMAZON us-west-1 204.246.160.0/22 AMAZON GLOBAL 204.246.164.0/22 AMAZON GLOBAL 204.246.168.0/22 AMAZON GLOBAL 204.246.174.0/23 AMAZON GLOBAL 204.246.176.0/20 AMAZON GLOBAL 205.251.192.0/19 AMAZON us-east-1 205.251.224.0/22 AMAZON us-west-1 205.251.228.0/22 AMAZON us-west-2 205.251.232.0/22 AMAZON us-gov-west-1 205.251.236.0/22 AMAZON us-east-1 205.251.240.0/22 AMAZON us-east-1 205.251.244.0/23 AMAZON us-east-1 205.251.247.0/24 AMAZON us-east-1 205.251.248.0/24 AMAZON GLOBAL 205.251.249.0/24 AMAZON GLOBAL 205.251.250.0/23 AMAZON GLOBAL 205.251.252.0/23 AMAZON GLOBAL 205.251.254.0/24 AMAZON us-east-1 205.251.255.0/24 AMAZON us-east-1 207.171.160.0/20 AMAZON us-east-1 207.171.176.0/20 AMAZON GLOBAL 216.137.32.0/19 AMAZON us-east-1 216.182.224.0/20 AMAZON us-east-1 23.20.0.0/14 EC2 eu-west-1 46.51.128.0/18 EC2 eu-west-1 46.51.192.0/20 EC2 ap-southeast-1 46.51.216.0/21 EC2 ap-northeast-1 46.51.224.0/19 EC2 eu-west-1 46.137.0.0/17 EC2 eu-west-1 46.137.128.0/18 EC2 ap-southeast-1 46.137.192.0/19 EC2 ap-southeast-1 46.137.224.0/19 EC2 us-east-1 50.16.0.0/15 EC2 us-west-1 50.18.0.0/16 EC2 us-east-1 50.19.0.0/16 EC2 us-west-2 50.112.0.0/16 EC2 us-east-1 52.0.0.0/15 EC2 us-east-1 52.2.0.0/15 EC2 us-east-1 52.4.0.0/14 EC2 us-west-1 52.8.0.0/16 EC2 us-west-1 52.9.0.0/16 EC2 us-west-2 52.10.0.0/15 EC2 us-west-2 52.12.0.0/15 EC2 eu-west-1 52.16.0.0/15 EC2 eu-west-1 52.18.0.0/15 EC2 us-east-1 52.20.0.0/14 EC2 us-west-2 52.24.0.0/14 EC2 eu-central-1 52.28.0.0/16 EC2 eu-central-1 52.29.0.0/16 EC2 eu-west-1 52.30.0.0/15 EC2 us-west-2 52.32.0.0/14 EC2 us-west-2 52.36.0.0/14 EC2 us-west-2 52.40.0.0/14 EC2 eu-west-1 52.48.0.0/14 EC2 us-west-1 52.52.0.0/15 EC2 eu-central-1 52.58.0.0/15 EC2 ap-southeast-2 52.62.0.0/15 EC2 ap-southeast-2 52.64.0.0/17 EC2 ap-southeast-2 52.64.128.0/17 EC2 ap-southeast-2 52.65.0.0/16 EC2 sa-east-1 52.67.0.0/16 EC2 ap-northeast-1 52.68.0.0/15 EC2 us-east-1 52.70.0.0/15 EC2 us-east-1 52.72.0.0/15 EC2 ap-southeast-1 52.74.0.0/16 EC2 ap-southeast-1 52.76.0.0/17 EC2 ap-southeast-1 52.76.128.0/17 EC2 ap-southeast-1 52.77.0.0/16 EC2 ap-northeast-2 52.79.0.0/16 EC2 us-east-1 52.86.0.0/15 EC2 us-west-2 52.88.0.0/15 EC2 us-east-1 52.90.0.0/15 EC2 sa-east-1 52.95.240.0/24 EC2 ap-southeast-2 52.95.241.0/24 EC2 ap-southeast-1 52.95.242.0/24 EC2 ap-northeast-1 52.95.243.0/24 EC2 eu-west-1 52.95.244.0/24 EC2 us-east-1 52.95.245.0/24 EC2 us-west-1 52.95.246.0/24 EC2 us-west-2 52.95.247.0/24 EC2 eu-central-1 52.95.248.0/24 EC2 cn-north-1 52.95.249.0/24 EC2 ap-northeast-2 52.95.252.0/24 EC2 sa-east-1 52.95.255.0/28 EC2 ap-southeast-2 52.95.255.16/28 EC2 ap-southeast-1 52.95.255.32/28 EC2 ap-northeast-1 52.95.255.48/28 EC2 eu-west-1 52.95.255.64/28 EC2 us-east-1 52.95.255.80/28 EC2 us-west-1 52.95.255.96/28 EC2 us-west-2 52.95.255.112/28 EC2 eu-central-1 52.95.255.128/28 EC2 cn-north-1 52.95.255.144/28 EC2 ap-northeast-1 52.192.0.0/15 EC2 ap-northeast-1 52.196.0.0/14 EC2 us-east-1 52.200.0.0/13 EC2 eu-west-1 52.208.0.0/13 EC2 ap-southeast-1 52.220.0.0/15 EC2 ap-northeast-1 54.64.0.0/15 EC2 ap-southeast-2 54.66.0.0/16 EC2 us-west-1 54.67.0.0/16 EC2 us-west-2 54.68.0.0/14 EC2 eu-west-1 54.72.0.0/15 EC2 eu-west-1 54.74.0.0/15 EC2 eu-west-1 54.76.0.0/15 EC2 eu-west-1 54.78.0.0/16 EC2 ap-southeast-2 54.79.0.0/16 EC2 us-east-1 54.80.0.0/13 EC2 us-east-1 54.88.0.0/14 EC2 ap-northeast-1 54.92.0.0/17 EC2 us-east-1 54.92.128.0/17 EC2 eu-central-1 54.93.0.0/16 EC2 sa-east-1 54.94.0.0/16 EC2 ap-northeast-1 54.95.0.0/16 EC2 us-east-1 54.144.0.0/14 EC2 us-west-2 54.148.0.0/15 EC2 ap-northeast-1 54.150.0.0/16 EC2 us-west-1 54.151.0.0/17 EC2 ap-southeast-1 54.151.128.0/17 EC2 us-east-1 54.152.0.0/16 EC2 us-west-1 54.153.0.0/17 EC2 ap-southeast-2 54.153.128.0/17 EC2 eu-west-1 54.154.0.0/16 EC2 eu-west-1 54.155.0.0/16 EC2 us-east-1 54.156.0.0/14 EC2 us-east-1 54.160.0.0/13 EC2 ap-northeast-1 54.168.0.0/16 EC2 ap-southeast-1 54.169.0.0/16 EC2 eu-west-1 54.170.0.0/15 EC2 us-east-1 54.172.0.0/15 EC2 us-east-1 54.174.0.0/15 EC2 us-west-1 54.176.0.0/15 EC2 ap-northeast-1 54.178.0.0/16 EC2 ap-southeast-1 54.179.0.0/16 EC2 us-west-1 54.183.0.0/16 EC2 us-west-2 54.184.0.0/13 EC2 us-west-1 54.193.0.0/16 EC2 eu-west-1 54.194.0.0/15 EC2 us-east-1 54.196.0.0/15 EC2 us-east-1 54.198.0.0/16 EC2 ap-northeast-1 54.199.0.0/16 EC2 us-west-2 54.200.0.0/15 EC2 us-west-2 54.202.0.0/15 EC2 us-east-1 54.204.0.0/15 EC2 ap-southeast-2 54.206.0.0/16 EC2 sa-east-1 54.207.0.0/16 EC2 us-east-1 54.208.0.0/15 EC2 us-east-1 54.210.0.0/15 EC2 us-west-2 54.212.0.0/15 EC2 us-west-2 54.214.0.0/16 EC2 us-west-1 54.215.0.0/16 EC2 eu-west-1 54.216.0.0/15 EC2 us-west-2 54.218.0.0/16 EC2 us-west-1 54.219.0.0/16 EC2 eu-west-1 54.220.0.0/16 EC2 us-east-1 54.221.0.0/16 EC2 cn-north-1 54.222.128.0/17 EC2 cn-north-1 54.223.0.0/16 EC2 us-east-1 54.224.0.0/15 EC2 us-east-1 54.226.0.0/15 EC2 eu-west-1 54.228.0.0/16 EC2 eu-west-1 54.229.0.0/16 EC2 sa-east-1 54.232.0.0/16 EC2 sa-east-1 54.233.0.0/18 EC2 sa-east-1 54.233.64.0/18 EC2 sa-east-1 54.233.128.0/17 EC2 us-east-1 54.234.0.0/15 EC2 us-east-1 54.236.0.0/15 EC2 ap-northeast-1 54.238.0.0/16 EC2 us-west-1 54.241.0.0/16 EC2 us-east-1 54.242.0.0/15 EC2 us-west-2 54.244.0.0/16 EC2 us-west-2 54.245.0.0/16 EC2 eu-west-1 54.246.0.0/16 EC2 eu-west-1 54.247.0.0/16 EC2 ap-northeast-1 54.248.0.0/15 EC2 ap-northeast-1 54.250.0.0/16 EC2 ap-southeast-1 54.251.0.0/16 EC2 ap-southeast-2 54.252.0.0/16 EC2 ap-southeast-2 54.253.0.0/16 EC2 ap-southeast-1 54.254.0.0/16 EC2 ap-southeast-1 54.255.0.0/16 EC2 us-east-1 67.202.0.0/18 EC2 us-east-1 72.44.32.0/19 EC2 us-east-1 75.101.128.0/17 EC2 eu-west-1 79.125.0.0/17 EC2 us-gov-west-1 96.127.0.0/17 EC2 ap-northeast-1 103.4.8.0/21 EC2 us-east-1 107.20.0.0/14 EC2 ap-southeast-1 122.248.192.0/18 EC2 us-east-1 174.129.0.0/16 EC2 ap-southeast-1 175.41.128.0/18 EC2 ap-northeast-1 175.41.192.0/18 EC2 ap-northeast-1 176.32.64.0/19 EC2 ap-northeast-1 176.34.0.0/19 EC2 ap-northeast-1 176.34.32.0/19 EC2 eu-west-1 176.34.64.0/18 EC2 eu-west-1 176.34.128.0/17 EC2 sa-east-1 177.71.128.0/17 EC2 us-west-1 184.72.0.0/18 EC2 us-east-1 184.72.64.0/18 EC2 us-east-1 184.72.128.0/17 EC2 us-east-1 184.73.0.0/16 EC2 us-west-1 184.169.128.0/17 EC2 eu-west-1 185.48.120.0/22 EC2 us-west-1 204.236.128.0/18 EC2 us-east-1 204.236.192.0/18 EC2 us-east-1 216.182.224.0/20 EC2 GLOBAL 205.251.192.0/21 ROUTE53 us-west-1 54.183.255.128/26 ROUTE53_HEALTHCHECKS eu-west-1 54.228.16.0/26 ROUTE53_HEALTHCHECKS sa-east-1 54.232.40.64/26 ROUTE53_HEALTHCHECKS us-west-1 54.241.32.64/26 ROUTE53_HEALTHCHECKS us-east-1 54.243.31.192/26 ROUTE53_HEALTHCHECKS us-west-2 54.244.52.192/26 ROUTE53_HEALTHCHECKS us-west-2 54.245.168.0/26 ROUTE53_HEALTHCHECKS ap-northeast-1 54.248.220.0/26 ROUTE53_HEALTHCHECKS ap-northeast-1 54.250.253.192/26 ROUTE53_HEALTHCHECKS ap-southeast-1 54.251.31.128/26 ROUTE53_HEALTHCHECKS ap-southeast-2 54.252.79.128/26 ROUTE53_HEALTHCHECKS ap-southeast-2 54.252.254.192/26 ROUTE53_HEALTHCHECKS ap-southeast-1 54.255.254.192/26 ROUTE53_HEALTHCHECKS us-east-1 107.23.255.0/26 ROUTE53_HEALTHCHECKS eu-west-1 176.34.159.192/26 ROUTE53_HEALTHCHECKS sa-east-1 177.71.207.128/26 ROUTE53_HEALTHCHECKS GLOBAL 52.84.0.0/15 CLOUDFRONT GLOBAL 54.182.0.0/16 CLOUDFRONT GLOBAL 54.192.0.0/16 CLOUDFRONT GLOBAL 54.230.0.0/16 CLOUDFRONT GLOBAL 54.239.128.0/18 CLOUDFRONT GLOBAL 54.239.192.0/19 CLOUDFRONT GLOBAL 54.240.128.0/18 CLOUDFRONT GLOBAL 204.246.164.0/22 CLOUDFRONT GLOBAL 204.246.168.0/22 CLOUDFRONT GLOBAL 204.246.174.0/23 CLOUDFRONT GLOBAL 204.246.176.0/20 CLOUDFRONT GLOBAL 205.251.192.0/19 CLOUDFRONT GLOBAL 205.251.249.0/24 CLOUDFRONT GLOBAL 205.251.250.0/23 CLOUDFRONT GLOBAL 205.251.252.0/23 CLOUDFRONT GLOBAL 205.251.254.0/24 CLOUDFRONT GLOBAL 216.137.32.0/19 CLOUDFRONT (env) ➜ aws
(env) ➜ aws python aws-ranges.py -r sa-east-1 region ip_prefix service --------- ----------------- -------------------- sa-east-1 52.67.0.0/16 AMAZON sa-east-1 52.92.39.0/24 AMAZON sa-east-1 52.92.64.0/22 AMAZON sa-east-1 52.92.72.0/22 AMAZON sa-east-1 52.94.7.0/24 AMAZON sa-east-1 52.95.240.0/24 AMAZON sa-east-1 52.95.255.0/28 AMAZON sa-east-1 54.94.0.0/16 AMAZON sa-east-1 54.207.0.0/16 AMAZON sa-east-1 54.231.253.0/24 AMAZON sa-east-1 54.232.0.0/16 AMAZON sa-east-1 54.233.0.0/18 AMAZON sa-east-1 54.233.64.0/18 AMAZON sa-east-1 54.233.128.0/17 AMAZON sa-east-1 54.240.244.0/22 AMAZON sa-east-1 177.71.128.0/17 AMAZON sa-east-1 177.72.240.0/21 AMAZON sa-east-1 52.67.0.0/16 EC2 sa-east-1 52.95.240.0/24 EC2 sa-east-1 52.95.255.0/28 EC2 sa-east-1 54.94.0.0/16 EC2 sa-east-1 54.207.0.0/16 EC2 sa-east-1 54.232.0.0/16 EC2 sa-east-1 54.233.0.0/18 EC2 sa-east-1 54.233.64.0/18 EC2 sa-east-1 54.233.128.0/17 EC2 sa-east-1 177.71.128.0/17 EC2 sa-east-1 54.232.40.64/26 ROUTE53_HEALTHCHECKS sa-east-1 177.71.207.128/26 ROUTE53_HEALTHCHECKS (env) ➜ aws python aws-ranges.py -r sa-east-1 -s ec2 region ip_prefix service --------- --------------- --------- sa-east-1 52.67.0.0/16 EC2 sa-east-1 52.95.240.0/24 EC2 sa-east-1 52.95.255.0/28 EC2 sa-east-1 54.94.0.0/16 EC2 sa-east-1 54.207.0.0/16 EC2 sa-east-1 54.232.0.0/16 EC2 sa-east-1 54.233.0.0/18 EC2 sa-east-1 54.233.64.0/18 EC2 sa-east-1 54.233.128.0/17 EC2 sa-east-1 177.71.128.0/17 EC2 (env) ➜ aws
#!/usr/bin/env python
#March 8th 2016
__author__ = 'Jason Riedel'
__description__ = 'Grabs IP ranges from amazon'
__version__ = '1.0'
url = 'https://ip-ranges.amazonaws.com/ip-ranges.json'
import requests
import json
import argparse
from tabulate import tabulate
parser = argparse.ArgumentParser()
parser.add_argument('-r', '--region', action="store", dest="regionFilter", required=False, help="Region to filter/return data for: us-west, ap-southeast-1, us-east-1")
parser.add_argument('-s', '--service', action="store", dest="serviceFilter", required=False, help="Service to filter/return data for: AMAZON, CLOUDFRONT, EC2")
parser.add_argument('-rl', action="store_true", dest="listRegions", required=False, help="List known regions")
parser.add_argument('-sl', action="store_true", dest="listService", required=False, help="List known services")
args = parser.parse_args()
def get_json(url):
try:
r = requests.get(url)
jdata = r.json()
except Exception, e:
print "ERROR - %s failed: %s" % (url, e)
return jdata
def list_filter_json(jdata, filter_on):
filtered_data = []
for i in range(len(jdata['prefixes'])):
filtered_data.append(jdata['prefixes'][i][filter_on])
return filtered_data
def filter_json(jdata, filters):
filtered_data = []
for i in range(len(jdata['prefixes'])):
if 'region' in filters and 'service' in filters:
if filters['region'].lower() in jdata['prefixes'][i]['region'].lower() and filters['service'].lower() in jdata['prefixes'][i]['service'].lower():
filtered_data.append(jdata['prefixes'][i])
elif 'region' in filters:
if filters['region'].lower() in jdata['prefixes'][i]['region'].lower():
filtered_data.append(jdata['prefixes'][i])
elif 'service' in filters:
if filters['service'].lower() in jdata['prefixes'][i]['service'].lower():
filtered_data.append(jdata['prefixes'][i])
return filtered_data
def list_regions(jdata):
regions = set()
filtered_data = list_filter_json(jdata, 'region')
for region in filtered_data:
regions.add(region)
for region in sorted(regions):
print region
def list_services(jdata):
services = set()
filtered_data = list_filter_json(jdata, 'service')
for service in filtered_data:
services.add(service)
for service in sorted(services):
print service
def table_it(filtered_data):
print tabulate(filtered_data, headers="keys")
if __name__ == "__main__":
jdata = get_json(url)
if args.listRegions or args.listService:
if args.listRegions:
list_regions(jdata)
elif args.listService:
list_services(jdata)
else:
parser.print_help()
else:
if args.regionFilter or args.serviceFilter:
if args.regionFilter and args.serviceFilter:
filters = {'region': args.regionFilter, 'service': args.serviceFilter}
else:
if args.regionFilter:
filters = {'region': args.regionFilter}
if args.serviceFilter:
filters = {'service': args.serviceFilter}
filtered_data = filter_json(jdata, filters)
table_it(filtered_data)
else:
table_it(jdata['prefixes'])