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
Agile Threat Modeling Toolkit

Threagile is an open-source toolkit for agile threat modeling:

Threagile 425 Jan 07, 2023
QHack-2022 - Solutions to the Coding Challenges of QHack 2022

QHack 2022 Problems from Coding Challenges 2022. Rules and how it works To test

Isacco Gobbi 1 Feb 14, 2022
Operational information regarding the vulnerability in the Log4j logging library.

Log4j Vulnerability (CVE-2021-44228) This repo contains operational information regarding the vulnerability in the Log4j logging library (CVE-2021-442

Nationaal Cyber Security Centrum (NCSC-NL) 1.9k Dec 26, 2022
log4j-tools: CVE-2021-44228 poses a serious threat to a wide range of Java-based applications

log4j-tools Quick links Click to find: Inclusions of log4j2 in compiled code Calls to log4j2 in compiled code Calls to log4j2 in source code Overview

JFrog Ltd. 171 Dec 25, 2022
Python & JavaScript Obfuscator made in Python 3.

Python Code Obfuscator A script that converts code into full on random numerical expressions. Simple Scripts: Python Mode... Input: Function that deco

rzx. 1 Dec 29, 2021
An OSINT tool that searches for devices directly connected to the internet (IoT) with a user specified query. It returns results for Webcams, Traffic lights, Refridgerators, Smart TVs etc.

An OSINT tool that searches for devices directly connected to the internet (IoT) with a user specified query. It returns results for Webcams, Traffic

Richard Mwewa 48 Nov 20, 2022
WinRemoteEnum is a module-based collection of operations achievable by a low-privileged domain user.

WinRemoteEnum WinRemoteEnum is a module-based collection of operations achievable by a low-privileged domain user, sharing the goal of remotely gather

Simon 9 Nov 09, 2022
Statistical Random Number Generator Attack Against The Kirchhoff-law-johnson-noise (Kljn) Secure Key Exchange Protocol

Statistical Random Number Generator Attack Against The Kirchhoff-law-johnson-noise (Kljn) Secure Key Exchange Protocol

zeze 1 Jan 13, 2022
NEW FACEBOOK CLONER WITH NEW PASSWORD, TERMUX FB CLONE, FB CLONING COMMAND. M

NEW FACEBOOK CLONER WITH NEW PASSWORD, TERMUX FB CLONE, FB CLONING COMMAND. M

Mr. Error 81 Jan 08, 2023
IPscan - This Script is Framework To automate IP process large scope For Bug Hunting

IPscan This Script is Framework To automate IP process large scope For Bug Hunti

0xd2rdir 8 Mar 12, 2022
An experimental script to perform bulk parsing of arbitrary file features with YARA and console logging.

RonnieColemanYARAParser This script is named after Ronnie Coleman, and peforms bulk lifts on arbitary file features using YARA console logging. Requir

Steve 20 Dec 13, 2022
PassLock is a medium-security password manager that encrypts passwords using Advanced Encryption Standards (AES)

A medium security python password manager that encrypt passwords using Advanced Encryption Standard (AES) PassLock is a password manager and password

Akshay Vs 44 Nov 18, 2022
Malware Configuration And Payload Extraction

CAPE: Malware Configuration And Payload Extraction CAPE is a malware sandbox. It is derived from Cuckoo and is designed to automate the process of mal

Kevin O'Reilly 1k Dec 30, 2022
A quick script to spot the usage of Unicode Bidi (bidirectional) characters that could lead to an Invisible Backdoor

Invisible Backdoor Detector is a little Python script that allows you to spot and remove Bidi characters that could lead to an invisible backdoor. If you don't know what that is you should check the

SecSI 28 Dec 29, 2022
xray多线程批量扫描工具

Auto_xray xray多线程批量扫描工具 简介 xray社区版貌似没有批量扫描,这就让安服仔使用起来很不方便,扫站得一个个手动添加,非常难受 Auto_xray目录下记得放xray,就跟平时一样的。 选项1:oneforall+xray 输入一个主域名,自动采集子域名然后添加到xray任务列表

1frame 13 Nov 09, 2022
DoSer.py - Simple DoSer in Python

DoSer.py - Simple DoSer in Python What is DoSer? DoSer is basically an HTTP Denial of Service attack that affects threaded servers. It works like this

1 Oct 12, 2021
The Modern Hash Identification System

🔗 Don't know what type of hash it is? Name That Hash will name that hash type! 🤖 Identify MD5, SHA256 and 3000+ other hashes ☄ Comes with a neat web app 🔥

1.2k Dec 28, 2022
Log4j vuln fuzz/scan with python

Log4jFuzz log4j vuln fuzz/scan USE // it's use localhost udp server to check target vuln. python3 log4jFuzz.py [option] optional arguments: -u URL,

VVzv 3 Dec 22, 2021
Whois-Python - Get Whois Domain with Python GUI

Whois-Python-GUI Get Whois Domain with Python - GUI :) WARNING Dont Copy ! - W

MR.D3F417 3 Feb 21, 2022
Log4jake works by spidering a web application for GET/POST requests

Log4jake Log4jake works by spidering a web application for GET/POST requests. It will then automatically execute the GET/POST requests, filling any di

16 May 09, 2022