OOPSpam vs WebDecoy: Spam Filter vs Bot Security

Compare OOPSpam spam filtering vs WebDecoy bot detection. See why honeypot-based security beats ML spam scoring for AI scrapers and API attacks.

OOPSpam vs WebDecoy: Why Spam Filtering Falls Short Against Modern Bots

OOPSpam and WebDecoy both protect websites from automated threats, but they solve fundamentally different problems. OOPSpam is a spam filter that analyzes text content. WebDecoy is a bot security platform that catches threats before they even submit a form.

Understanding this distinction is critical. If you are only worried about contact form spam, OOPSpam may suffice. If you need to detect AI scrapers, credential stuffing, SQL injection attacks, and sophisticated bots—you need WebDecoy.

Quick Comparison Overview

FeatureOOPSpamWebDecoy
Primary PurposeForm spam filteringBot detection & security
Pricing$23-259/month$59-449/month
Detection MethodML text analysisBehavioral + Honeypots + ML
Bot Scanner (Behavioral Analysis)NoYes (95%+ accuracy)
Headless Browser DetectionNoYes (Puppeteer, Playwright, Selenium)
SetupAPI integration/WordPress pluginSDK + DNS change (5 minutes)
False PositivesML-inherent (variable)<0.1% (behavioral + honeypot)
Honeypot TrapsNoYes (link & API decoys)
Endpoint Decoys (API Honeypots)NoYes
AI Scraper DetectionNoYes (GPTBot, ClaudeBot, etc.)
Attack Detection (SQLi, XSS)NoYes
SDK & APIAPI onlyFull SDK + REST API
SIEM IntegrationNoFull (Splunk, Elastic, Datadog)
WAF IntegrationNoYes (Cloudflare, AWS, Akamai)
MITRE ATT&CK MappingNoYes
Automated Response ActionsSpam score onlyBlock, redirect, poison, log

Bot Scanner: Behavioral Analysis OOPSpam Cannot Match

What is Bot Scanner?

WebDecoy’s Bot Scanner is a behavioral analysis engine that detects bots before they interact with any form or honeypot. This is fundamentally different from OOPSpam’s approach:

OOPSpam: Waits for form submission → analyzes text → returns spam score

Bot Scanner: Detects bot immediately on page load → blocks before any action

Bot Scanner Capabilities

CapabilityOOPSpamWebDecoy Bot Scanner
Headless browser detectionNoYes (Puppeteer, Playwright, Selenium)
TLS fingerprinting (JA3/JA4)NoYes
Mouse entropy analysisNoYes
Behavioral pattern detectionNoYes
Detection accuracyVariable (ML)95%+
False positive rate1-5%<0.1%
Detection latencyPost-submission<50ms on page load

SDK Integration

Bot Scanner includes a JavaScript SDK for embedded detection:

<!-- One line installation -->
<script
  src="https://cdn.webdecoy.io/s.js"
  data-account="acc_xxx"
  async
></script>

Or via npm:

import { BotScanner } from '@webdecoy/scanner';

BotScanner.init({
  accountId: 'acc_xxx',
  onDetection: (detection) => {
    // Custom response logic
    if (detection.threat_score > 80) {
      blockUser();
    }
  }
});

OOPSpam has no equivalent client-side detection capability.


The Fundamental Difference: Spam Filter vs Security Platform

OOPSpam: Text Content Analysis

OOPSpam operates at the form submission layer. When a user submits a form, OOPSpam’s API analyzes the text content and returns a spam score from 0-6:

User submits form

Form data sent to OOPSpam API

ML model analyzes text patterns

IP/email checked against reputation databases

Spam score returned (0-6)

Your application decides what to do

What OOPSpam sees: The text content of form submissions.

What OOPSpam cannot see: Bots browsing your site, AI scrapers harvesting content, attackers probing your APIs, or any traffic that does not submit a form.

WebDecoy: Honeypot-Based Bot Detection

WebDecoy operates at the entire application layer. Invisible honeypot traps detect bots before they take any action:

Bot visits your site

Bot follows invisible honeypot link (humans never see it)

WebDecoy detection triggered (100% certainty it's a bot)

Full request analysis + attack pattern detection

Automatic response: block, redirect, poison, or log

Events sent to SIEM with MITRE ATT&CK tags

What WebDecoy sees: All bot traffic across your entire site and API surface.

The key insight: Legitimate users never trigger honeypots. This architectural difference eliminates false positives by design—something ML-based spam filtering cannot achieve.


Detection Capabilities: Narrow vs Comprehensive

What OOPSpam Detects

OOPSpam excels at detecting:

  • Comment spam
  • Contact form spam
  • Registration spam
  • Fake reviews
  • Newsletter sign-up abuse
  • Card testing (via text patterns)

These are all text-based submissions where OOPSpam’s ML model can analyze content patterns.

What OOPSpam Cannot Detect

OOPSpam has no capability to detect:

ThreatOOPSpamWebDecoy
AI scrapers (GPTBot, ClaudeBot)NoYes
Web crawlers harvesting contentNoYes
SQL injection attacksNoYes
Cross-site scripting (XSS)NoYes
Command injectionNoYes
XML External Entity (XXE)NoYes
Credential stuffing (sophisticated)PartialYes
API enumerationNoYes
Path traversal attacksNoYes
Mass assignment attacksNoYes

Why This Matters

The threat landscape has shifted. In 2017 when OOPSpam was founded, form spam was the primary concern. Today, businesses face:

  1. AI companies scraping content to train models (GPTBot, ClaudeBot, Perplexity)
  2. Automated credential stuffing using leaked password databases
  3. API abuse from attackers probing endpoints for vulnerabilities
  4. Content theft from competitors using sophisticated scrapers

OOPSpam was built for a simpler time. WebDecoy was built for today’s threats.


AI Scraper Detection: The Gap OOPSpam Cannot Fill

The AI Scraper Explosion

Major AI companies deploy crawlers to harvest training data:

AI CrawlerPurposeOOPSpam DetectionWebDecoy Detection
GPTBotOpenAI training dataNoYes
ClaudeBotAnthropic training dataNoYes
PerplexityAI search trainingNoYes
CCBotCommon Crawl / AI datasetsNoYes
Google-ExtendedBard/Gemini trainingNoYes
Applebot (Extended)Apple AI featuresNoYes

How WebDecoy Catches AI Scrapers

WebDecoy deploys invisible honeypot links that only bots find:

<!-- Invisible to users, visible to crawlers -->
<a href="/honeypot/trap-page" style="display:none" aria-hidden="true">
  Site Archive
</a>

When GPTBot, ClaudeBot, or any crawler follows this link, WebDecoy:

  1. Identifies the bot via user agent, TLS fingerprint (JA3/JA4), and behavioral patterns
  2. Logs the detection with full request details
  3. Takes action (block, redirect, or serve poisoned content)
  4. Alerts your systems via webhook with MITRE ATT&CK tags

OOPSpam cannot do any of this because AI scrapers do not submit forms—they crawl and download pages.


Endpoint Decoys: API Security That OOPSpam Lacks

What Are Endpoint Decoys?

Endpoint Decoys are fake API endpoints that act as honeypots for attackers:

/api/admin/login        → Fake login endpoint catches credential stuffing
/api/users/export       → Fake export catches data exfiltration attempts
/graphql                → Fake GraphQL catches introspection queries
/api/config             → Fake config catches reconnaissance

Attack Detection Capabilities

When attackers probe Endpoint Decoys, WebDecoy automatically detects and categorizes attacks:

Attack TypeSeverityExample PayloadOOPSpamWebDecoy
SQL InjectionCriticaladmin' OR '1'='1NoYes
Command InjectionCritical; cat /etc/passwdNoYes
XXE AttackCritical<!DOCTYPE foo [<!ENTITY xxe SYSTEM "file:///etc/passwd">]>NoYes
XSSHigh<script>alert(1)</script>NoYes
Path TraversalHigh../../../etc/passwdNoYes
Credential StuffingHighRapid login attempts with leaked credentialsPartialYes

Full Forensic Capture

WebDecoy captures complete attack details:

{
  "detection_type": "sql_injection",
  "decoy_path": "/api/admin/login",
  "severity": "critical",
  "payload": {
    "username": "admin' OR '1'='1",
    "password": "' UNION SELECT * FROM users--"
  },
  "source_ip": "185.x.x.x",
  "mitre_attack": {
    "tactics": ["TA0002", "TA0006"],
    "techniques": ["T1203", "T1110.004"]
  },
  "threat_score": 94,
  "action": "blocked"
}

OOPSpam returns: { "spam_score": 4 }


Enterprise Integration: SIEM, WAF, and MITRE ATT&CK

OOPSpam Integration Options

OOPSpam offers:

  • WordPress plugin
  • Zapier integration
  • Make.com integration
  • Bubble.io native
  • Direct API access

These are adequate for WordPress sites and basic automations. However, OOPSpam has no native SIEM integration and no WAF integration.

WebDecoy Enterprise Stack

WebDecoy integrates with your entire security infrastructure:

Integration TypePlatformOOPSpamWebDecoy
SIEMSplunkNoYes (HEC)
SIEMElastic/ELKNoYes
SIEMCrowdStrike LogScaleNoYes
ObservabilityDatadogNoYes
CDN/WAFCloudflareNoYes
CDN/WAFAWS WAFNoYes
CDN/WAFAkamaiNoYes
CDN/WAFFastlyNoYes
FormatsSyslog (RFC 5424)NoYes
FormatsCEFNoYes

MITRE ATT&CK Mapping

Every WebDecoy detection maps to the MITRE ATT&CK framework:

  • Reconnaissance (TA0043): Web crawling, AI bot detection
  • Credential Access (TA0006): Brute force, credential stuffing
  • Execution (TA0002): SQL injection, command injection
  • Discovery (TA0007): Path traversal, API enumeration

This enables:

  • SOC correlation with existing ATT&CK-based detection rules
  • Compliance reporting aligned to security frameworks
  • Threat intelligence enrichment with standardized technique IDs

OOPSpam provides none of this. Its output is a simple spam score (0-6) with no threat intelligence context.


Response Actions: Score vs Control

OOPSpam: You Decide What to Do

OOPSpam returns a spam score. Your application must:

  1. Receive the score
  2. Decide on a threshold
  3. Implement the blocking logic
  4. Handle edge cases

OOPSpam does not block anything—it only scores.

WebDecoy: Automated Response

WebDecoy takes action automatically:

ActionDescriptionOOPSpamWebDecoy
BlockReturn 403 ForbiddenNo (app handles)Yes
IP BlockAdd to blocklistNoYes
WAF SyncUpdate Cloudflare/AWS WAF rulesNoYes
RedirectSend bot to custom pageNoYes
Data PoisoningServe false data to botsNoYes
AlertWebhook to SIEM/SlackVia ZapierNative

False Positives: ML Guessing vs Honeypot Certainty

The ML False Positive Problem

OOPSpam uses machine learning to predict if content is spam. ML models inherently produce false positives—legitimate content that patterns match spam.

Example false positive scenarios:

  • A user writes “Buy now! Limited time offer!” in a legitimate inquiry
  • An email from a new domain triggers reputation checks
  • Foreign language content matches spam patterns
  • Technical content with code snippets confuses text analysis

The Honeypot Solution

WebDecoy’s honeypot approach eliminates false positives by design:

  1. Honeypot links are invisible to users (CSS hidden, aria-hidden)
  2. Only bots follow invisible links (or manually inspecting HTML)
  3. Legitimate users never trigger detections (mathematically impossible)
  4. Every detection is a confirmed bot (100% certainty)

This is not a marginal improvement. It is a fundamental architectural advantage that ML-based systems cannot replicate.


Pricing Comparison

OOPSpam Pricing

PlanPriceAPI Calls/Month
Starter$23/month25,000
Freelance$49/month100,000
Agency$69/month300,000
Business$259/month1,000,000

WebDecoy Pricing

PlanPriceFeatures
Starter$59/month10 decoys, 10K detections
Pro$149/month50 decoys, 100K detections, Endpoint Decoys
Agency$299/monthUnlimited decoys, 500K detections, SIEM integration
Enterprise$449/monthCustom limits, dedicated support, SLA

Value Analysis

OOPSpam is cheaper at entry level ($23 vs $59), but:

  • OOPSpam only filters form spam
  • WebDecoy protects your entire application
  • WebDecoy includes Endpoint Decoys, AI scraper detection, SIEM integration
  • WebDecoy provides zero false positives vs ML uncertainty

For businesses facing modern threats (AI scrapers, API attacks, credential stuffing), WebDecoy’s additional capabilities justify the price difference.


When to Use Each Platform

Choose OOPSpam If:

  • You only need form spam filtering
  • Your site is WordPress with contact forms
  • You have no AI scraper concerns
  • You do not need SIEM/WAF integration
  • Budget is the primary constraint
  • You are comfortable with ML false positive rates

Choose WebDecoy If:

  • You need to detect AI scrapers (GPTBot, ClaudeBot)
  • You have APIs that need protection (Endpoint Decoys)
  • You need zero false positives (honeypot design)
  • You require SIEM integration (Splunk, Elastic, Datadog)
  • You want WAF automation (Cloudflare, AWS WAF)
  • You need MITRE ATT&CK mapping for SOC workflows
  • You face sophisticated bot threats beyond form spam

Conclusion: Spam Filter vs Security Platform

OOPSpam and WebDecoy are not direct competitors—they solve different problems:

OOPSpam is a solid spam filter for WordPress sites and form submissions. It uses ML to score text content and has been protecting sites since 2017.

WebDecoy is a comprehensive bot security platform for businesses facing modern threats:

  • Bot Scanner detects headless browsers and automation frameworks with 95%+ accuracy
  • Behavioral analysis catches bots before they take any action—no waiting for form submissions
  • Honeypot-based detection catches AI scrapers with zero false positives
  • Endpoint Decoys protect your APIs from credential stuffing and injection attacks
  • SDK and API enable custom integrations and automated response workflows
  • Sub-second response actions block at the edge via Cloudflare, AWS WAF, or your SIEM

If your only concern is contact form spam, OOPSpam works. If you need to detect sophisticated automation, protect your content from AI companies, secure your APIs from attacks, and trigger automated response actions—WebDecoy is the clear choice.


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Frequently Asked Questions

What is the difference between OOPSpam and WebDecoy?

OOPSpam is a spam filter that analyzes text content after form submission. WebDecoy is a bot security platform that detects bots before they submit using honeypots. WebDecoy catches AI scrapers, credential stuffing, and API attacks that OOPSpam cannot detect.

Can OOPSpam detect AI scrapers like GPTBot?

No, OOPSpam only analyzes form submissions for spam content. It cannot detect AI scrapers, crawlers, or bots that don't submit forms. WebDecoy's honeypots catch all bot types including AI scrapers.

Which is better for form spam - OOPSpam or WebDecoy?

For basic contact form spam, both work. However, WebDecoy prevents bots from reaching forms entirely using honeypots, while OOPSpam analyzes submissions after they arrive. WebDecoy is more effective and has zero false positives.

Is WebDecoy more expensive than OOPSpam?

WebDecoy ($59-449/month) costs more than OOPSpam ($23-259/month), but provides comprehensive bot security including AI scraper detection, API protection, and SIEM integration that OOPSpam lacks.

Should I use OOPSpam or WebDecoy for my website?

If you only need contact form spam filtering, OOPSpam is sufficient. If you need to protect against AI scrapers, credential stuffing, API attacks, or sophisticated bots, choose WebDecoy for comprehensive security.

Need help choosing a bot protection solution?

Our team can help you compare options and find the right fit for your needs.

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