---
url: 'https://dri.es/album/mollom'
title: Mollom
author:
  name: 'Dries Buytaert'
  url: 'https://dri.es/about'
date: '2026-06-10T13:54:43+00:00'
license: 'https://creativecommons.org/licenses/by-nc/4.0/'
type: album
count: 38
---

# Mollom

![Bright green graphic celebrating Mollom reaching 10,000 active users and blocking 100 million spam messages.](https://dri.es/files/images/mollom/100-million-milestone.jpg)
*&copy; Jamey Boje \(aka graphicsguru\)*

![A graph shows spam attempts blocked \(orange\) and non-spam accepted \(green\) over time, with most activity in blocked spam.](https://dri.es/files/images/mollom/1000-days.jpg)

![A newspaper article about Mollom, a startup that protects the internet from spam and unwanted content.](https://dri.es/files/cache/mollom/datanews-2008-1-640w.jpg)

![A moderation interface for filtering user content based on spam, profanity, and reputation scores, with adjustable settings.](https://dri.es/files/cache/mollom/moderation-ui-december-2011-640w.jpg)

![Two people sign documents at a desk while another person smiles nearby in an office setting.](https://dri.es/files/cache/mollom/mollom-closing-6-640w.jpg)

![Screenshot of the redesigned Mollom website, showcasing its spam filtering and content quality evaluation features with call-to-action buttons.](https://dri.es/files/cache/mollom/mollom-com-february-2012-640w.jpg)
*The new Mollom.com website design.*

![](https://dri.es/files/cache/mollom/mollom-com-january-2012-640w.jpg)
*The old Mollom.com design that we used from 2007 to early 2012.*

![Settings page for configuring comment protection using text analysis or CAPTCHA to filter spam and choose automatic or manual moderation.](https://dri.es/files/images/mollom/mollom-discard-retain.jpg)

![A Drupal module interface displaying Mollom protection modes for forms, including CAPTCHA and text analysis options.](https://dri.es/files/images/mollom/mollom-drupal-protection-modes.jpg)
*Different protection modes in the <a href="http://drupal.org/project/mollom">Drupal module for Mollom</a>.*

![A configuration page for comment form protection with options for spam detection, profanity filtering, and text analysis accuracy settings.](https://dri.es/files/images/mollom/mollom-drupal-text-analysis-strictness.jpg)

![Mollom end of life announcement](https://dri.es/files/cache/mollom/mollom-end-of-life-announcement-640w.jpg)
*Mollom's end-of-life announcement that replaced the old https://mollom.com.*

![A flowchart showing how Mollom analyzes submitted content, blocks spam, and uses CAPTCHA for uncertain cases.](https://dri.es/files/cache/mollom/mollom-flow-640w.jpg)
*This image illustrates how the <a href="http://mollom.com/download">Drupal module for Mollom</a> blocks comment spam. If you're working on a Mollom plugin for your favorite CMS, this is how we recommend that you use the <a href="http://mollom/api">Mollom API</a>. Click <a href="https://dri.es/images/mollom/mollom-flow.jpg">this link</a> for <a href="https://dri.es/images/mollom/mollom-flow.jpg">a larger version of the image</a> that is easier to read.*

![A world map showing spam activity, with darker colors representing higher spam levels in different regions.](https://dri.es/files/cache/mollom/mollom-spam-map-world-640w.jpg)

![A spam message with placeholder text and variable word choices, likely generated by an automated script.](https://dri.es/files/images/mollom/spam-techniques-buggy-script.jpg)

![Code snippet highlighting "Drupal speak" and a "Spam link", demonstrating content reuse in spam techniques.](https://dri.es/files/images/mollom/spam-techniques-content-reuse.jpg)

![](https://dri.es/files/images/mollom/spam-techniques-facebook.jpg)

![Highlighted HTML code snippet showing an embedded Flash file link, a technique commonly used in spam.](https://dri.es/files/images/mollom/spam-techniques-flash.jpg)

![A spam message with random text, fake email, and suspicious links, likely generated for automated spam techniques.](https://dri.es/files/images/mollom/spam-techniques-gibberish.jpg)

![Email screenshot requesting investment in a fiberglass factory, with capitalized text emphasizing urgency.](https://dri.es/files/images/mollom/spam-techniques-good-ol-shouting.jpg)

![Highlighted spam technique using "google\_ad\_section\_start" in a message promoting house projects.](https://dri.es/files/images/mollom/spam-techniques-google-ad-section-start.jpg)

![Email spam message promoting a discount on jeans with an embedded image link, likely for phishing or scams.](https://dri.es/files/images/mollom/spam-techniques-image.jpg)

![A text-based message with empty fields and a short body saying, "thanks for all.](https://dri.es/files/images/mollom/spam-techniques-no-spam.jpg)

![A screenshot shows OpenID links, illustrating potential spam techniques related to user authentication and online identity.](https://dri.es/files/images/mollom/spam-techniques-openid.jpg)

![A spam message with a fake author and a suspicious link, likely used for phishing or malicious purposes.](https://dri.es/files/images/mollom/spam-techniques-spaces.jpg)

![](https://dri.es/files/images/mollom/statistics-august-2011.jpg)
*Screenshot of the scorecard section on Molom.com.*

![](https://dri.es/files/images/mollom/techcrunch-belgium.jpg)
*&copy; <a href="http://www.creativeskills.be/">Bart Claeys</a>*

![](https://dri.es/files/images/mollom/text-analysis-october-2010.jpg)
*The Y-axis shows the number of requests per second. The X-axis shows the day of the month. The graph is for one Mollom server only.*

![Black T-shirt with a green "M" logo on the front and "Mollom" text on the upper back.](https://dri.es/files/images/mollom/tshirt-design.jpg)

![Pie chart showing Mollom usage: 44% personal websites, 27% non-profits, 22% company websites, and 7% customer websites.](https://dri.es/files/images/mollom/volume-segmentation.jpg)
*Based on a sample of roughly 2,000 Drupal sites that use Mollom.*

![](https://dri.es/files/images/mollom/spam-versus-ham-2.jpg)
*The plot illustrates that having a classifier with three states avoids false positives and false negatives. The plot is generated from the actual data in Mollom's database.*

![](https://dri.es/files/images/mollom/spam-versus-ham-1.jpg)
*The plot illustrates that having a binary classifier with only two states \(ham and spam\) is bound to make mistakes. The plot is generated from the actual data in Mollom's database.*

![A group of seven people stands together outside, smiling at the camera during a planning event.](https://dri.es/files/cache/mollom/mollom-planning-day-december-2010-640w.jpg)

![Team december](https://dri.es/files/cache/mollom/team-december-2011-640w.jpg)
*A photo of the Mollom team at an offsite in 2011: it includes Daniel Kudwien, Benjamin Schrauwen, Cedric De Vleeschauwer, Thomas Meire, Johan Vos and Vicky Van Roeyen. Missing in the picture is Dries.*

![Stacks of printed documents and a folder are neatly arranged on a table in an office setting.](https://dri.es/files/cache/mollom/mollom-closing-1-640w.jpg)

![Three people sit at a table sorting and signing documents, with stacks of paper around them.](https://dri.es/files/cache/mollom/mollom-closing-2-640w.jpg)

![Mollom closing](https://dri.es/files/cache/mollom/mollom-closing-3-640w.jpg)
*Selling Mollom to Acquia involved signing a lot of documents. A photo of me signing the acquisition paperwork with Mary Jefts, Acquia's CFO at the time. It took three hours to sign all the paperwork.*

![Two people sit at a table reviewing and signing documents, possibly related to the closing of Mollom.](https://dri.es/files/cache/mollom/mollom-closing-4-640w.jpg)

![Two people sit at a table signing documents, with stacks of papers, coffee mugs, and snacks nearby.](https://dri.es/files/cache/mollom/mollom-closing-5-640w.jpg)

