Currently, the following formats are accepted:

  • DOC, DOCX, DOCM, DOT, DOTX. DOTM, XML (Word 2003 XML Document)
  • PDF
If you do not trust us and do not want to upload the whole document, use our special client, that will NOT upload the whole document.


OutlookOWA Plugin

This is a plugin to upload directly attached files from your Outlook Web Access or Outlook desktop version. Quite convenient for your daily mail. You do not need API key to use this.


(Anonymous client)

Standalone windows program to drag and drop any file and easily upload it to DIARIO. Download it here.


(Anonymous client)

Standalone .deb package to drag and drop any file and upload it to DIARIO. Download it here

Mac OS

(Anonymous client)

Standalone Mac OS program to drag and drop any file and easily upload it to DIARIO. Download it here.

Anonymous client means that content of the files are never uploaded to our servers. But anyhow, even if updated, we do not keep them. If you are even more paranoid, you can build your own anonymous client.

Creative Concept Static Analysis

We do not use or store any document content, just its structure and formal characteristics. We extract the features that are not assignable to a single document in order to create an effective, predictive and intelligent analysis.

Amazing Design

We use our core malware detection learning based system from ElevenPaths (patent pending). A great solution for cloud computing environments.

Cost Effective

Use our API. It is free and mostly instant. Save time with our machine learning prediction structures.


We do not even need the content. If you wish, just send us some of the features from it. Content is never needed for our predictions.

DIARIO bridges a natural gap that antiviruses do not usually match. DIARIO is not intended to replace antiviruses, but to cover the gap with fresh samples: DIARIO is especially good detecting them. DIARIO helps detect fresh malware without compromising your privacy or sharing content.


We do not want to build yet-another-machine-based-learning-technology-for-detecting-malware. Instead, we focus on how these 'machine learning sets' are created and how we can train the structures, not only reaching “the low-hanging fruit” but also exploring the “gray zone” where the real threats lie. And of course, we do not need your private content!

Document oriented

Now we specialize in PDF and Office files.


We use machine based learning techniques, but they are trained with special sets of malware to reduce the gap between the “traditional solutions” and real malware issues.


Our analyses are ultra-fast. We do not even need the content of the document itself.


We want to keep privacy, privacy is respect.


We know… “intimacy” is not “privacy”… but we wanted an acronym.


You own your own data. You do not need to share it with someone else to check for malware.

Academic Papers

Our techniques are patent pending, and have been proven to be effective in some scientific congresses.

How it works


Every single feature of DIARIO is accessible via an API REST. In order to use it you will be able not just to analyze documents (with or without sending its content, although we do not need it), but to choose prediction algorithms and different training versions, which are continuously evolving, as well. Request a private apiKey!

API specification

Terms and conditions

Request access

Download the Terms and Conditions of Use


Keep in touch with us

Want to check something by yourself? Just ask for access.
We can give it for free right now, just try it out.