Title: Doltics Radar
Author: doltics
Published: <strong>2026.06.03.</strong>
Last modified: 2026.06.03.

---

Bővítmények keresése

![](https://ps.w.org/doltics-radar/assets/banner-772x250.png?rev=3559124)

![](https://ps.w.org/doltics-radar/assets/icon-256x256.png?rev=3559124)

# Doltics Radar

 Szerző: [doltics](https://profiles.wordpress.org/doltics/)

[Letöltés](https://downloads.wordpress.org/plugin/doltics-radar.1.0.0.zip)

 * [Részletek](https://hu.wordpress.org/plugins/doltics-radar/#description)
 * [Vélemények](https://hu.wordpress.org/plugins/doltics-radar/#reviews)
 *  [Telepítés](https://hu.wordpress.org/plugins/doltics-radar/#installation)
 * [Fejlesztés](https://hu.wordpress.org/plugins/doltics-radar/#developers)

 [Támogatás](https://wordpress.org/support/plugin/doltics-radar/)

## Leírás

Doltics Radar checks enabled WordPress flows before they complete. Admins can enable
protection for outbound email, submitted comments, and account registrations under
Settings > Doltics Radar.

Email protection uses WordPress core mail hooks when available. Doltics Radar also
includes a Mailgun compatibility adapter for Mailgun versions that replace `wp_mail()`
without calling `pre_wp_mail`.

### API Contract

The plugin sends a JSON `POST` request to the URL `https://radar.doltics.com/score`:

    ```
    {
      "text": "The sample text",
      "locale": "en"
    }
    ```

The API should return JSON using one of these response shapes:

    ```
    {
      "score": 0.95,
      "classification": "spam",
      "signals": {
        "token_count": 10,
        "unknown_word_ratio": 0.1,
        "spam_keyword_score": 0.61,
        "uppercase_ratio": 0.34,
        "exclamation_density": 0.3,
        "url_count": 1
      }
    }
    ```

Numeric scores are compared against the configured threshold.

## Telepítés

 1. Upload this folder to `wp-content/plugins/doltics-radar`.
 2. Activate Doltics Radar in WordPress.
 3. Configure the plugin under Settings > Doltics Radar.

## GYIK

### What makes this spam scoring engine „smart” compared to traditional filters?

Traditional filters rely heavily on static keyword blocking, which spammers easily
bypass. Our engine uses a dynamic weighted scoring system. It extracts text, analyzes
standard language patterns, filters anomalies, and fact-checks content against localized
linguistic data. Instead of a simple „yes or no” flag, it combines multiple heuristics
to give you a highly accurate, nuanced probability score.

### How does the weighted scoring engine work?

The engine evaluates incoming text through multiple independent lenses (heuristics),
such as syntax anomalies, sender reputation, and localized language patterns.

### What does „localized language filtering” mean?

Spam looks different in every language and region. Slang, common idioms, and phrasing
vary wildly. Our engine doesn’t just translate text; it analyzes it against the 
specific rules and nuances of the local language context. This drastically reduces
false positives caused by regional dialects or informal business language.

### How does the engine „fact-check” text?

The engine cross-references extracted text and claims against verified localized
datasets to detect known phishing templates, fraudulent business pitches, and common
scam setups. If a piece of text closely mimics a known malicious campaign or contains
verifiable misinformation (like a fake lottery claim), its spam score increases 
accordingly.

### Does the text extraction process compromise user privacy?

Not at all. The text extraction and processing happen in real-time within a secure,
encrypted pipeline. We isolate the standard linguistic patterns and words required
for scoring, and we do not store the PII (Personally Identifiable Information) or
the contents of the processed text post-analysis.

### How does the engine handle sophisticated spam that uses intentional typos?

Because our engine extracts normal words and filters them against localized language
models, it excels at spotting „leetspeak” (e.g., replacing ‘E’ with ‘3’) or intentional
misspellings meant to trick basic filters. The system recognizes the underlying 
intent and penalizes the text for obfuscation tactics.

## Vélemények

Nincsenek értékelések erről a bővítményről.

## Közreműködők és fejlesztők

“Doltics Radar” egy nyílt forráskódú szoftver. A bővítményhez a következő személyek
járultak hozzá:

Közreműködők

 *   [ doltics ](https://profiles.wordpress.org/doltics/)

[“Doltics Radar” fordítása a saját nyelvünkre.](https://translate.wordpress.org/projects/wp-plugins/doltics-radar)

### Érdekeltek vagyunk a fejlesztésben?

[Browse the code](https://plugins.trac.wordpress.org/browser/doltics-radar/), check
out the [SVN repository](https://plugins.svn.wordpress.org/doltics-radar/), or subscribe
to the [development log](https://plugins.trac.wordpress.org/log/doltics-radar/) 
by [RSS](https://plugins.trac.wordpress.org/log/doltics-radar/?limit=100&mode=stop_on_copy&format=rss).

## Változási napló

#### 1.0.0

 * Initial release.

## Meta

 *  Version **1.0.0**
 *  Last updated **1 hónap ezelőtt**
 *  Active installations **Kevesebb, mint 10**
 *  WordPress version ** 5.7 vagy magasabb **
 *  Tested up to **7.0**
 *  PHP version ** 7.4 vagy magasabb **
 *  Language
 * [English (US)](https://wordpress.org/plugins/doltics-radar/)
 * Tags
 * [comments](https://hu.wordpress.org/plugins/tags/comments/)[email](https://hu.wordpress.org/plugins/tags/email/)
   [registration](https://hu.wordpress.org/plugins/tags/registration/)[security](https://hu.wordpress.org/plugins/tags/security/)
   [spam](https://hu.wordpress.org/plugins/tags/spam/)
 *  [Bővített nézet](https://hu.wordpress.org/plugins/doltics-radar/advanced/)

## Vélemények

No reviews have been submitted yet.

[Your review](https://wordpress.org/support/plugin/doltics-radar/reviews/#new-post)

[See all reviews](https://wordpress.org/support/plugin/doltics-radar/reviews/)

## Közreműködők

 *   [ doltics ](https://profiles.wordpress.org/doltics/)

## Támogatás

Vélemény? Segítségkérés?

 [Támogatói fórum megtekintése](https://wordpress.org/support/plugin/doltics-radar/)