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
neo Tool is great one in binary exploitation topic

neo Tool is great one in binary exploitation topic. instead of doing several missions by many tools and windows, you can now automate this in one tool in one session.. Enjoy it

Hamza Elansari 4 Oct 10, 2022
NFC Implant-base RSA Encrypted Messagging application

Encrypted messaging application with the use of MIFARE DESfire chip to store the private/public keys needed for the application authentication

4 Nov 06, 2021
Analyse a forensic target (such as a directory) to find and report files found and not found from CIRCL hashlookup public service

Analyse a forensic target (such as a directory) to find and report files found and not found from CIRCL hashlookup public service. This tool can help a digital forensic investigator to know the conte

hashlookup 96 Dec 20, 2022
Simple script for looping a Denial Of Service (DoS) attack over one single mac address in range

Bluetooth Simple Denial Of Service (DoS) Legal Note This project is made only for educational purposes and for helping in Proofs of Concept. The autho

1 Jan 09, 2022
A Tool to find subdomains from hackerone reports.

Hactivity A Tool to find subdomains from Hackerone reports of a given company or a search term (xss, ssrf, etc). It can also print out URL and Title o

Stinger 15 Jul 24, 2022
Backdoor is a term that refers to the access of the software or hardware of a computer system without being detected.

This program is an non-object oriented opensource, hidden and undetectable backdoor/reverse shell/RAT for Windows made in Python 3 which contains many features such as multi-client support and cross-

35 Apr 17, 2022
解密哥斯拉webshell管理工具流量

kingkong 解密哥斯拉Godzilla-V2.96 webshell管理工具流量 目前只支持jsp类型的webshell流量解密 Usage 获取攻击者上传到服务器的webshell样本 获取wireshark之类的流量包,一般甲方有科来之类的全流量镜像设备,联系运维人员获取,这里以test.

h4ck for fun 46 Dec 21, 2022
Burp Suite extension for encoding/decoding EVM calldata

unblocker Burp Suite extension for encoding/decoding EVM calldata 0x00_prerequisites Burp Suite Java 8+ Python 2.7 0x01_installation clone this reposi

Halborn 16 Aug 30, 2022
CodeTest信息收集和漏洞利用工具

CodeTest信息收集和漏洞利用工具,可在进行渗透测试之时方便利用相关信息收集脚本进行信息的获取和验证工作,漏洞利用模块可选择需要测试的漏洞模块,或者选择所有模块测试,包含CVE-2020-14882, CVE-2020-2555等,可自己收集脚本后按照模板进行修改。

23 Mar 18, 2021
TCP/UDP port scanner on python, usong scapy and multiprocessin

Port Scanner TCP/UDP port scanner on python, usong scapy and multiprocessing. Usage python3 scanner.py [OPTIONS] IP_ADDRESS [{tcp|udp}[/[PORT|PORT-POR

Egor Krokhin 1 Dec 05, 2021
Exploiting CVE-2021-42278 and CVE-2021-42287

noPac Exploiting CVE-2021-42278 and CVE-2021-42287 原项目noPac在实现上可能有点问题,导致在本地没有打通,于是参考sam-the-admin项目进行修改。 使用 pip3 install -r requirements.txt # GetShel

W4ter 2 Jun 23, 2022
Python Library For Ethical Hacker

Python Library For Ethical Hacker

11 Nov 03, 2022
Obfuscate your Python scripts better, faster.

⚜️ Berserker ⚜️ An unique Python3 obfuscator using Kyrie Eleison's encryption protocol, written in Python3. 📋 Examples 📋 Unobfuscated: input("Hello

Billy 81 Dec 07, 2022
Confluence OGNL injection

CVE-2021-26084 Confluence OGNL injection CVE-2021-26084 is an Object-Graph Navigation Language (OGNL) injection vulnerability in the Atlassian Conflue

Ashish Kunwar 15 Sep 23, 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
CVE-2021-44228 log4j 2.x rce漏洞检测工具

#1 使用说明 CVE-2021-44228 log4j 2.x rce漏洞检测工具,对目标链接发起get请求并利用dnslog探测是否有回显 $ python3 log4j-scan.py -h

CoCo ainrm- 4 Jan 13, 2022
A GitHub action for organizations that enables advanced security code scanning on all new repos

Advanced-Security-Enforcer What this repository does This code is for an active GitHub Action written in Python to check (on a schedule) for new repos

Zack Koppert 30 May 17, 2022
Archive-Crack - A Tools for crack file archive

Install In TERMUX apt update && apt upgrade -y pkg install python git unrar

X - MrG3P5 10 Oct 06, 2022
A semi-automatic osint/recon framework.

Smog Framework A semi-automatic osint/recon framework. Requirements git Python = 3.8 How to use it

toast 22 Oct 17, 2022
This is a Crypto asset tracker that I built to aid my personal journey in cryptocurrencies.

Wallet Tracker This is a Crypto asset tracker that I built to aid my personal journey in cryptocurrencies. build docker build -t wallet-tracker . run

2 Mar 21, 2022