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
Extendable payload obfuscation and delivery framework

NSGenCS What Is? An extremely simple, yet extensible framework to evade AV with obfuscated payloads under Windows. Installation Requirements Currently

123 Dec 19, 2022
Internationalized Domain Names for Python (IDNA 2008 and UTS #46)

Internationalized Domain Names in Applications (IDNA) Support for the Internationalised Domain Names in Applications (IDNA) protocol as specified in R

Kim Davies 204 Dec 13, 2022
D-810 is an IDA Pro plugin which can be used to deobfuscate code at decompilation time by modifying IDA Pro microcode.

Introduction fork from https://gitlab.com/eshard/d810 What is D-810 D-810 is an IDA Pro plugin which can be used to deobfuscate code at decompilation

Banny 30 Dec 06, 2022
Multi Brute Force Facebook - Crack Facebook With Login - Free For Now

✭ SAKERA CRACK Made With ❤️ By Denventa, Araya, Dapunta Author: - Denventa - Araya Dev - Dapunta Khurayra X ⇨ Fitur Login [✯] Login Cookies ⇨ Ins

Dapunta ID 26 Jan 01, 2023
Windows Stack Based Auto Buffer Overflow Exploiter

Autoflow - Windows Stack Based Auto Buffer Overflow Exploiter Autoflow is a tool that exploits windows stack based buffer overflow automatically.

Himanshu Shukla 19 Dec 22, 2022
The Web Application Firewall Paranoia Level Test Tool.

Quick WAF "paranoid" Doctor Evaluation WAFPARAN01D3 The Web Application Firewall Paranoia Level Test Tool. — From alt3kx.github.io Introduction to Par

22 Jul 25, 2022
Dlint is a tool for encouraging best coding practices and helping ensure Python code is secure.

Dlint Dlint is a tool for encouraging best coding practices and helping ensure Python code is secure. The most important thing I have done as a progra

Dlint 127 Dec 27, 2022
The disassembler parses evm bytecode from the command line or from a file.

EVM Bytecode Disassembler The disassembler parses evm bytecode from the command line or from a file. It does not matter whether the bytecode is prefix

alpharush 22 Dec 27, 2022
Exploiting CVE-2021-44228 in vCenter for remote code execution and more

Log4jCenter Exploiting CVE-2021-44228 in vCenter for remote code execution and more. Blog post detailing exploitation linked below: COMING SOON Why? P

81 Dec 20, 2022
Obfuscate ip address using different encodings

ipobfuscator How it works? Single ip address can be written in multiple ways. The most popular way is to represent ip as 4 octets separated with dots.

Piotr Warmke 1 Nov 02, 2021
Generate malicious files using recently published bidi-attack (CVE-2021-42574)

CVE-2021-42574 - Code generator Generate malicious files using recently published bidi-attack vulnerability, which was discovered in Unicode Specifica

js-on 7 Nov 09, 2022
A python script written for lazy people to hack their school systen ;D

F-ck-the-system A python script written for lazy people to hack their school systen ;D Python voice notes writer This is a python script to record you

Sachit 2 Jan 09, 2022
This is python script that will extract the functions call in all used DLL in an executable and then provide a mapping of those functions to the attack classes defined and curated malapi.io.

F2Amapper This is python script that will extract the functions call in all used DLL in an executable and then provide a mapping of those functions to

Ajit Kumar 3 Sep 03, 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
A guide to building basic malware in Python by implementing a keylogger application

Keylogger-Malware-Project A guide to building basic malware in Python by implementing a keylogger application. If you want even more detail on the Pro

Noah Davis 1 Jan 11, 2022
A python script to brute-force guess the passwords to Instagram accounts

Instagram-Brute-Force The purpose of this script is to brute-force guess the passwords to Instagram accounts. Specifics: Comes with 2 separate modes i

Moondog 2 Nov 16, 2021
A tool used to obfuscate python scripts, bind obfuscated scripts to fixed machine or expire obfuscated scripts.

PyArmor Homepage (中文版网站) Documentation(中文版) PyArmor is a command line tool used to obfuscate python scripts, bind obfuscated scripts to fixed machine

Dashingsoft 1.9k Dec 30, 2022
log4j2 passive burp rce scanning tool get post cookie full parameter recognition

log4j2_burp_scan 自用脚本log4j2 被动 burp rce扫描工具 get post cookie 全参数识别,在ceye.io api速率限制下,最大线程扫描每一个参数,记录过滤已检测地址,重复地址 token替换为你自己的http://ceye.io/ token 和域名地址

5 Dec 10, 2021
A high-performance DNS stub resolver for bulk lookups and reconnaissance (subdomain enumeration)

MassDNS A high-performance DNS stub resolver MassDNS is a simple high-performance DNS stub resolver targeting those who seek to resolve a massive amou

B. Blechschmidt 2.5k Jan 07, 2023
Metasploit Multi Purpose Exploiting Toolkit For Termux

MSF-EXPLOIT MSF-ANDRO is a Metasploit Multi Purpose Exploiting Toolkit For Termux . Only a Basic Script , Still in Development . FEATURES : Install Me

Mr.X 22 Dec 29, 2022