Ca

Caido, a lightweight web security auditing toolkit

Hacker News

Caido, a lightweight web security auditing toolkit

Hi HN! I’m Emile, co-founder of Caido [0]. Today, we are launching the public beta of Caido, a lightweight web security auditing toolkit. While our tool is mostly geared toward pentesters and bug bounty hunters, we thought some of you might find it useful. The web security auditing toolkit space hasn't seen much innovation in recent years, with current tools feeling outdated and lacking in performance and user experience. As the number of security professionals continues to increase, there is a growing need for a user-friendly alternative. This is what motivated us to create Caido. At its core, Caido is a proxy that sits in between you and your target. It allows you to record & filter traffic, tamper with requests, replay them to test exploits, brute force parameters, etc. As we started building, we wanted to focus on the following two points: - Performance: In our space, the most-used proxies rely on Java and consume large amounts of memory. It is not uncommon to hear hackers saying they built a PC with 32GB+ of RAM especially to run a proxy. To address this issue, we developed Caido using Rust and optimized it to take advantage of SSDs as opposed to keeping everything in-memory. It's been working great so far, giving us a good balance of low-level control, reasonable memory usage and speed. - Flexibility: Instead of a monolithic desktop application, we decided to split the user interface from the proxy component. This allows Caido to be deployed anywhere from a laptop to a cheap VPS. Businesses will be able self-host their Caido instances and grant access to external pentesters/bug bounty hunters as needed. This approach also allows users to have more oversight over their data. Caido is currently not open source, but we're considering an open-core model. We still want to be transparent in our development, so we have an open roadmap [1]. We will also be focusing on a plugin system this year. We are a small bootstrap team of 3 people at the moment. While Caido is available for free, you can subscribe to a Pro plan to support the project. We plan on introducing exclusive features for Pro users throughout the year such as instance sharing, synced workspaces, etc. We have been in private beta for around a year now and we feel we have built something worth sharing with the community. You can join our Discord [2], follow us on Twitter [3] or watch our Github [4] to get updates. Let us know what you think and I’m happy to answer questions! [0] https://caido.io [1] https://links.caido.io/roadmap [2] https://links.caido.io/www-discord [3] https://twitter.com/@CaidoIO [4] https://github.com/caido/caido

Share card

Actual performance

17points
4comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: started, para · Missing: supports, reddit linkedin, podcasting
95%95% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: model, user, using · Missing: mac, agents, macos
82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: host, exclusive, friendly · Missing: plus, platform, intuitive
63%63% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released
61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: users, para · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Li
Lightweight vacuum packed foam camping matress46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lightweight vacuum packed foam camping matress

Hacker News3
Li
Lightweight AngularJS Entity System48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lightweight AngularJS Entity System

Hacker News1
Lo
Lolight – Lightweight Syntax Highlighter49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lolight – Lightweight Syntax Highlighter

Hacker News11
Ra
RapidBay: Lightweight Torrent Videostreaming for Chromecast and AppleTV46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

RapidBay: Lightweight Torrent Videostreaming for Chromecast and AppleTV

Hacker News3
Li
Lightweight Prometheus Exposition with Go34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lightweight Prometheus Exposition with Go

Hacker News1
Xe
Xenoeye – Lightweight Netflow Collector46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Xenoeye – Lightweight Netflow Collector

Hacker News2
Ca
Carotte is a very lightweight Celery on zmq46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Carotte is a very lightweight Celery on zmq

Hacker News1
Si
SimpleW – Lightweight C# Web Server with optional addons55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SimpleW – Lightweight C# Web Server with optional addons

Hacker News6
Ri
Rize, a functional toolkit for Ruby48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Rize, a functional toolkit for Ruby

Hacker News2
Ad
Adventurekeep – A Toolkit for D&D49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Adventurekeep – A Toolkit for D&D

Hacker News182