Anti-Spam Report

Note

This is an excerpt from the Anti-Spam Report. Download the full version in PDF for comprehensive details into the analysis.

Evaluating Anti-Spam Solutions for Performance, Accuracy, and Compliance

This summary provides an overview of the findings from a comprehensive evaluation of various server-side anti-spam filters, focusing on their performance, accuracy in spam classification, and compliance with data protection regulations, particularly GDPR.

Performance Comparison

The evaluation included testing six prominent anti-spam filters: Akismet, CleanTalk, OOPSpam, ModerationAPI, ChatGPT, and ALTCHA Spam Filter. Key metrics such as accuracy of classification and latency were assessed across different regions to provide a holistic view of their capabilities.

Accuracy Comparison

Accuracy in classifying both legitimate samples and spam content varied significantly across the filters. ALTCHA Spam Filter emerged as the top performer, achieving a perfect 100% accuracy rate in identifying both legitimate and spam samples across multiple languages. In contrast, other solutions such as Akismet and CleanTalk exhibited notable limitations, particularly in detecting non-English spam and generating false positives.

Latency Comparison

Latency, a critical factor for real-time spam filtering, was also evaluated. ALTCHA demonstrated minimal latency across regions (EU and US), ensuring efficient operation without impacting website performance. In comparison, some filters like OOPSpam and ChatGPT showed latency fluctuations that could affect real-time usability, though they remain viable for asynchronous processing.

Data Protection Compliance

A significant focus of this evaluation was on the GDPR compliance of each platform’s privacy policies. Most filters, including Akismet, CleanTalk, OOPSpam, and ChatGPT, exhibited data practices that raise concerns under GDPR, such as data transfer to non-EU countries and potential indefinite storage of user data. ModerationAPI, despite its robust spam detection capabilities, also posed challenges with its data sharing practices.

In contrast, ALTCHA Spam Filter stood out for its strong commitment to GDPR compliance and user privacy. Operating under EU jurisdiction, ALTCHA ensures local data residency, minimal data retention, and does not share data with third parties, making it suitable for privacy-conscious users.

Conclusion

The evaluation underscores the importance of choosing a spam filter that not only delivers high accuracy and minimal latency but also complies with stringent data protection regulations. ALTCHA Spam Filter emerges as the preferred choice, offering exemplary performance in spam detection across multiple languages while maintaining robust GDPR compliance and ensuring user data privacy. For organizations prioritizing data protection and effective spam management, ALTCHA represents a reliable and compliant solution.

For detailed findings and methodology, download the full anti-spam report.

The source code and samples used in this evaluation are available on GitHub.

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Latency Comparison

Anti-Spam Filter	Origin	Latency
Akismet	EU	~92ms
	US	~95ms
CleanTalk	EU	~165ms
	US	~285ms
OOPSpam	EU	~1443ms
	US	~1110ms
ModerationAPI	EU	~464ms
	US	~802ms
ChatGPT	EU	~828ms
	US	~490ms
ALTCHA Spam Filter	EU	~35ms
	US	~36ms

Accuracy Comparison

Akismet - 46%

Sample Type	Accuracy
Legitimate Samples	20/21
Spam Samples	3/29

CleanTalk - 42%

Sample Type	Accuracy
Legitimate Samples	18/21
Spam Samples	3/29

OOPSpam - 46%

Sample Type	Accuracy
Legitimate Samples	18/21
Spam Samples	5/29

ModerationAPI - 66%

Sample Type	Accuracy
Legitimate Samples	6/21
Spam Samples	27/29

ChatGPT - 96%

Sample Type	Accuracy
Legitimate Samples	21/21
Spam Samples	27/29

ALTCHA Spam Filter - 100%

Sample Type	Accuracy
Legitimate Samples	21/21
Spam Samples	29/29