Wonk is a tool for combining a set of AWS policy files into smaller compiled policy sets.

Overview

The Policy Wonk

Wonk is a tool for combining a set of AWS policy files into smaller compiled policy sets.

Table of Contents

Rationale

Wonk can help you in several situations.

Policies are limited resources

You want to give the people in your organization the AWS permissions needed to do their job. Amazon has helpfully created several hundred policies like AmazonRDSReadOnlyAccess and AmazonS3FullAccess that you can assign to users, groups, or roles. This is super convenient... up until it's not.

AWS has IAM quotas like:

  • Policies may not be more than 6,144 characters long.
  • You can't attach more than 10 groups or roles to a user.
  • You can't attach more than 10 policies to a single group, role, or user.
  • If you're logging into AWS with SSO, each user like gets exactly 1 role assigned to them.

What if your backend engineers log in with Okta and they need 11 policies to do their job?

Wonk to the rescue! You can combine them into one big policy with a command line like:

$ wonk combine -p MyPolicy AWSPolicy1.json AWSPolicy2.json

which reads the contents of AWSPolicy1.json and AWSPolicy2.json and merges them into a MyPolicy.json file.

Your roles share a lot of common permissions

Perhaps you have one role for backend engineers, and another role for backend engineers who are on call this week and need some additional permissions. You really don't want to maintain two policies that are nearly identical, though.

In this case, you could put all of the standard permissions in one policy, all of the additional on-call permissions in another, then combine them:

$ wonk combine -p BackendOnCall Backend.json OnCall.json

Things got really complicated when you weren't looking

Beyond just combining a file or 2 as needed, you want some help managing multiple roles with lots of policies. Say you're setting up policies for both frontend and backend engineers and each of them have special on-call roles that share some extra debugging permissions. Each role uses a combination of some AWS-managed policies with some that you've written yourself.

Wonk loves you and wants you to be happy.

First, it assumes a directory layout like this:

├── wonk.yaml
├── managed
│   ├── AWSPolicy1.json
│   └── AWSPolicy2.json
├── local
│   ├── BackendECSReadOnly.json
│   ├── FrontendCloudWatchReadOnly.json
│   └── OnCall.json
└── combined
    ├── Backend_1.json
    ├── Frontend_1.json
    ├── BackendOnCall_1.json
    └── FrontendOnCall_1.json

where the managed directory is full of policy files that you've downloaded from AWS (maybe using the wonk fetch command), the local directory has policies you've written yourself, and combined has the output files that Wonk creates for you.

You could write a bunch of wonk combine command lines, maybe in a shell script or a Makefile. Alternatively, you could write a wonk.yaml file like this:

policy_sets:
  Backend:
    managed:
      - AWSPolicy1
      - arn:path:to:your:policy/AWSPolicy2
    local:
      - BackendECSReadOnly

  BackendOnCall:
    inherits:
      - Backend
    local:
      - OnCall

  Frontend:
    managed:
      - AWSPolicy3
    local:
      - FrontendCloudWatchReadOnly

  FrontendOnCall:
    inherits:
      - Frontend
    local:
      - OnCall

and then tell Wonk to build them all for you:

$ wonk build --all

which fetches any missing managed policies, then creates a set of combined policies named after their YAML configurations.

A managed policy Foo is fetched by the ARN arn:aws:iam::aws:policy/Foo. However, some Amazon policies don't follow that convention. In that case, you can give an ARN instead of a policy name and that ARN will be fetched instead (and the policy's name will be derived from the ARN). You could also do that if you want to fetch your own policy from Amazon instead of maintaining it locally.

Installation

pip install wonk

Alternatively: clone this repo and run poetry install.

Usage

Fetching policies

Use wonk fetch to retrieve a policy from AWS by name or by ARN and write it to stdout. Each of these commands emit the same output:

$ wonk fetch --arn "arn:aws:iam::aws:policy/AWSLambdaFullAccess"
$ wonk fetch --name AWSLambdaFullAccess
$ wonk fetch --profile my_aws_profile_name --name AWSLambdaFullAccess

Combining policies

Use wonk combine to combine multiple policies into a policy set:

$ wonk combine -p Foo policy1.json policy2.json

Building configured policy statements

The wonk build command interprets a wonk.yaml file as described in the example above and builds the requested policy set(s).

To build one named policy set:

$ wonk build --policy-set BackendOnCall

To build all defined policy sets:

$ wonk build --all

The details

Sounds simple, right? Well, not quite. Remember, IAM quotas limit managed policies to 6,144 characters. You can put a few more characters on an inline policy directly on a role, but that's not best practice and you don't really want to go down that path. Instead, Wonk uses a few tricks to try to make policies fit inside their size limit:

  • It strips all Sid keys from statements, per Amazon's recommendations.
  • It discard duplicate actions.
  • It removes all "shadowed" actions. For instance, if a statement has actions Foo:SomeAction and Foo:*, it discards Foo:SomeAction because Foo:* already has it covered. Similarly, Foo:Get* will shadow Foo:GetSomething, so Foo:GetSomething will be removed.
  • Wonk tries to make the generated policies as human-readable as possible, but will format them very tersely if necessary. You can always use jq to reformat its outputs for viewing.

Note: actions are always grouped by similar principals, resources, conditions, etc. If two statements have different conditions, say, they are processed separately.

Breaking up is hard to do

Wonk does whatever it can to make a policy fit within that magic 6,144 character limit, but somethings that just can't be done. If you try to combine 30 different non-overlapping policies, there's a decent chance that the end result simply can't be shrunk enough. A careful reader might have noticed that all of the command examples specify an output "base" instead of a specific filename, and an output Foo ends up creating a file named Foo.json. This is because in the case that Wonk can't pack everything into a separate file, it creates a set of as few output policies as possible to include all of the actions. The general process is this:

  • Try to make everything fit.
  • If there are any statements with so many actions that they can't be shrunk into the size limit, split them up into equal-size chunks that do fit.
  • Now we have the case of fitting M statements into N policies, of which there can't be more than 10 because of the AWS limits. That looks a lot like the knapsack problem, and indeed it is. Wonk uses Google's SCIP constraint solver to pack all of the statements into as few policies as possible.
  • If none of this is sufficient, Wonk raises an exception and quits.

Policy sets

The end result of many Wonk operations is a collection of files, a policy set, named _1.json through _N.json where N <= 10. This is different from most utilities which operate on individual files, but Wonk can't know how many files it will be creating in advance.

Why 10? Because AWS usually won't allow you to attach more than 10 policies to a user, group, or role. Since policy sets work together like one giant policy and can't be split up, Wonk won't create a policy set that can't actually be attached to anything. If you're bumping up against this limit, consider creating 2 policy sets and applying them to 2 distinct but groups (like Backend_1 and Backend_2), then putting each relevant user into both groups. Alternatively, if your policies cover 99 actions like Service:OnePermission and Service:Another on a service that only has 100 possible actions, and you've done your due diligence and don't mind giving your users access to that 100th action, consider adding a Service:* action to a local policy. That will replace all those individual actions with the single wildcard. Likewise, if you mean to give your users access to all of the various Service:GetThis and Service:GetThat actions, you can cover them all at once with Service:Get*. This also has the nice side effect of documenting that you actually intend to allow access to all of the Get* actions.

Terraforming combined policies

Reasonably recent modern versions of Terraform support fileset and for_each syntax. You can define a single policy resource that exactly expands out to a whole set of policies, then attach them all at once to a group or role:

resource "aws_iam_policy" "Frontend" {
  for_each    = fileset(path.module, "combined/Frontend_*.json")
  name        = split(".", basename(each.value))[0]
  description = "Frontend users need to do stuff"
  policy      = file(each.value)
}

resource "aws_iam_group_policy_attachment" "Frontenders__Frontend" {
  for_each   = aws_iam_policy.Frontend
  group      = data.aws_iam_group.frontenders.group_name
  policy_arn = each.value.arn
}

Limitations

As of this writing, Wonk is usable but not finished. It's missing a few nice features:

  • Wonk doesn't consider action shadowing when one statement has restrictions but another doesn't. For example, given two statement blocks:
{
    "Statement": [
        {
            "Effect": "Allow",
            "Action": "Foo:Something",
            "Resource": "arn:aws:service::my_resource"
        },
        {
            "Effect": "Allow",
            "Action": "Foo:Something"
        }
    ]
}

the second statement is broader than the first, so the first could be safely removed. Right now it isn't.

Copyright

The Policy Wonk is copyright 2021 Amino, Inc. and distributed under the terms of the Apache-2.0 License.

Owner
Amino, Inc
Amino open-source projects
Amino, Inc
Hack any account sending fake nitro QR code (only for educational purpose)

DISCORD_ACCOUNT_HACKING_TOOL ( EDUCATIONAL PURPOSE ) Hack any account sending fake nitro QR code (only for educational purpose) Start my program token

Novy 7 Jan 07, 2022
A Burp extension adding a passive scan check to flag parameters whose name or value may indicate a possible insertion point for SSRF or LFI.

BurpParamFlagger A Burp extension adding a passive scan check to flag parameters whose name or value may indicate a possible insertion point for SSRF

Allyson O'Malley 118 Nov 07, 2022
A simple python script to dump remote files through a local file read or local file inclusion web vulnerability.

A simple python script to dump remote files through a local file read or local file inclusion web vulnerability. Features Dump a single file w

Podalirius 48 Dec 03, 2022
KeyKatcher is a keylogger that records keystrokes made on a computer and sends to the E-Mail.

What is a keylogger? A keylogger is a software application or piece of hardware that monitors and records keystrokes made on a computer keyboard. The

Himank_Jain 7 Sep 19, 2022
自动化爆破子域名,并遍历所有端口寻找http服务,并使用crawlergo、dirsearch、xray等工具扫描并集成报告;支持动态添加扫描到的域名至任务;

AutoScanner AutoScanner是什么 AutoScanner是一款自动化扫描器,其功能主要是遍历所有子域名、及遍历主机所有端口寻找出所有http服务,并使用集成的工具进行扫描,最后集成扫描报告; 工具目前有:oneforall、masscan、nmap、crawlergo、dirse

633 Dec 30, 2022
PyExtractor is a decompiler that can fully decompile exe's compiled with pyinstaller or py2exe

PyExtractor is a decompiler that can fully decompile exe's compiled with pyinstaller or py2exe with additional features such as malware checker/detector! Also checks file(s) for suspicious words, dis

Rdimo 56 Jul 31, 2022
Xteam All in one Instagram,Android,phishing osint and wifi hacking tool available

Xteam All in one Instagram,Android,phishing osint and wifi hacking tool available

xploits tech 283 Dec 29, 2022
LinOTP - the open source solution for two factor authentication

LinOTP LinOTP - the Open Source solution for multi-factor authentication Copyright © 2010-2019 KeyIdentity GmbH Coypright © 2019- arxes-tolina GmbH In

LinOTP 462 Jan 02, 2023
Having a weak password is not good for a system that demands high confidentiality and security of user credentials

Having a weak password is not good for a system that demands high confidentiality and security of user credentials. It turns out that people find it difficult to make up a strong password that is str

PyLaboratory 0 Feb 07, 2022
Bypass ReCaptcha: A Python script for dealing with recaptcha

Bypass ReCaptcha Bypass ReCaptcha is a Python script for dealing with recaptcha.

Marcos Camargo 1 Jan 11, 2022
IDA scripts for hypervisor (Hyper-v) analysis and reverse engineering automation

Re-Scripts IA32-VMX-Helper (IDA-Script) IA32-MSR-Decoder (IDA-Script) IA32 VMX Helper It's an IDA script (Updated IA32 MSR Decoder) which helps you to

Behrooz Abbassi 16 Oct 08, 2022
Program that mathematically generates and validates CPF numbers

✔️ Gerador e Validador de CPF Programa que gera e valida números de CPF Requisitos • Como usar • Capturas de Tela Requisitos Antes de começar, você va

João Victor Vilela dos Santos 1 Nov 07, 2021
GitLab CE/EE Preauth RCE using ExifTool

CVE-2021-22205 GitLab CE/EE Preauth RCE using ExifTool This project is for learning only, if someone's rights have been violated, please contact me to

3ND 164 Dec 10, 2022
SubFind - Subdomain Finder Tools

SubFind (Subdomain Finder Tools) Info Tools Result Of Subdomain Command In Termi

LangMurpY 2 Jan 25, 2022
Trainspotting - Python Dependency Injector based on interface binding

Choose dependency injection Friendly with MyPy Supports lazy injections Supports

avito.tech 3 Jan 26, 2022
The RDT protocol (RDT3.0,GBN,SR) implementation and performance evaluation code using socket

소켓을 이용한 RDT protocols (RDT3.0,GBN,SR) 구현 및 성능 평가 코드 입니다. 코드를 실행할때 리시버를 먼저 실행하세요. 성능 평가 코드는 패킷 전송 과정을 제외하고 시간당 전송률을 출력합니다. RDT3.0 GBN SR(버그 발견으로 구현중 입니

kimtaeyong98 0 Dec 20, 2021
Simplify getting and using cookies from the browser to use in Python.

CookieCache Simplify getting and using cookies from the browser to use in Python. NOTE: All the logic to interface with the browsers is done by the Br

pat_h/to/file 2 May 06, 2022
A hashtag check python module

A hashtag check python module

Fayas Noushad 3 Aug 10, 2022
This is a js front-end encryption blasting account and password tools

Author:0xAXSDD By Gamma安全实验室 version:1.0 explain:这是一款用户绕过前端js加密进行密码爆破的工具,你无需在意js加密的细节,只需要输入你想要爆破url,以及username输入框的classname,password输入框的clas

75 Nov 25, 2022
The best Python Backdoor👌

Backdoor The best Python Backdoor Files Server file is used in all of cases If client is Windows, the client need execute EXE file If client is Linux,

13 Oct 28, 2022