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
| Feature | OOPSpam | WebDecoy |
|---|---|---|
| Primary Purpose | Form spam filtering | Bot detection & security |
| Pricing | $23-259/month | $59-449/month |
| Detection Method | ML text analysis | Behavioral + Honeypots + ML |
| Bot Scanner (Behavioral Analysis) | No | Yes (95%+ accuracy) |
| Headless Browser Detection | No | Yes (Puppeteer, Playwright, Selenium) |
| Setup | API integration/WordPress plugin | SDK + DNS change (5 minutes) |
| False Positives | ML-inherent (variable) | <0.1% (behavioral + honeypot) |
| Honeypot Traps | No | Yes (link & API decoys) |
| Endpoint Decoys (API Honeypots) | No | Yes |
| AI Scraper Detection | No | Yes (GPTBot, ClaudeBot, etc.) |
| Attack Detection (SQLi, XSS) | No | Yes |
| SDK & API | API only | Full SDK + REST API |
| SIEM Integration | No | Full (Splunk, Elastic, Datadog) |
| WAF Integration | No | Yes (Cloudflare, AWS, Akamai) |
| MITRE ATT&CK Mapping | No | Yes |
| Automated Response Actions | Spam score only | Block, 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
| Capability | OOPSpam | WebDecoy Bot Scanner |
|---|---|---|
| Headless browser detection | No | Yes (Puppeteer, Playwright, Selenium) |
| TLS fingerprinting (JA3/JA4) | No | Yes |
| Mouse entropy analysis | No | Yes |
| Behavioral pattern detection | No | Yes |
| Detection accuracy | Variable (ML) | 95%+ |
| False positive rate | 1-5% | <0.1% |
| Detection latency | Post-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 doWhat 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 tagsWhat 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:
| Threat | OOPSpam | WebDecoy |
|---|---|---|
| AI scrapers (GPTBot, ClaudeBot) | No | Yes |
| Web crawlers harvesting content | No | Yes |
| SQL injection attacks | No | Yes |
| Cross-site scripting (XSS) | No | Yes |
| Command injection | No | Yes |
| XML External Entity (XXE) | No | Yes |
| Credential stuffing (sophisticated) | Partial | Yes |
| API enumeration | No | Yes |
| Path traversal attacks | No | Yes |
| Mass assignment attacks | No | Yes |
Why This Matters
The threat landscape has shifted. In 2017 when OOPSpam was founded, form spam was the primary concern. Today, businesses face:
- AI companies scraping content to train models (GPTBot, ClaudeBot, Perplexity)
- Automated credential stuffing using leaked password databases
- API abuse from attackers probing endpoints for vulnerabilities
- 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 Crawler | Purpose | OOPSpam Detection | WebDecoy Detection |
|---|---|---|---|
| GPTBot | OpenAI training data | No | Yes |
| ClaudeBot | Anthropic training data | No | Yes |
| Perplexity | AI search training | No | Yes |
| CCBot | Common Crawl / AI datasets | No | Yes |
| Google-Extended | Bard/Gemini training | No | Yes |
| Applebot (Extended) | Apple AI features | No | Yes |
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:
- Identifies the bot via user agent, TLS fingerprint (JA3/JA4), and behavioral patterns
- Logs the detection with full request details
- Takes action (block, redirect, or serve poisoned content)
- 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 reconnaissanceAttack Detection Capabilities
When attackers probe Endpoint Decoys, WebDecoy automatically detects and categorizes attacks:
| Attack Type | Severity | Example Payload | OOPSpam | WebDecoy |
|---|---|---|---|---|
| SQL Injection | Critical | admin' OR '1'='1 | No | Yes |
| Command Injection | Critical | ; cat /etc/passwd | No | Yes |
| XXE Attack | Critical | <!DOCTYPE foo [<!ENTITY xxe SYSTEM "file:///etc/passwd">]> | No | Yes |
| XSS | High | <script>alert(1)</script> | No | Yes |
| Path Traversal | High | ../../../etc/passwd | No | Yes |
| Credential Stuffing | High | Rapid login attempts with leaked credentials | Partial | Yes |
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 Type | Platform | OOPSpam | WebDecoy |
|---|---|---|---|
| SIEM | Splunk | No | Yes (HEC) |
| SIEM | Elastic/ELK | No | Yes |
| SIEM | CrowdStrike LogScale | No | Yes |
| Observability | Datadog | No | Yes |
| CDN/WAF | Cloudflare | No | Yes |
| CDN/WAF | AWS WAF | No | Yes |
| CDN/WAF | Akamai | No | Yes |
| CDN/WAF | Fastly | No | Yes |
| Formats | Syslog (RFC 5424) | No | Yes |
| Formats | CEF | No | Yes |
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:
- Receive the score
- Decide on a threshold
- Implement the blocking logic
- Handle edge cases
OOPSpam does not block anything—it only scores.
WebDecoy: Automated Response
WebDecoy takes action automatically:
| Action | Description | OOPSpam | WebDecoy |
|---|---|---|---|
| Block | Return 403 Forbidden | No (app handles) | Yes |
| IP Block | Add to blocklist | No | Yes |
| WAF Sync | Update Cloudflare/AWS WAF rules | No | Yes |
| Redirect | Send bot to custom page | No | Yes |
| Data Poisoning | Serve false data to bots | No | Yes |
| Alert | Webhook to SIEM/Slack | Via Zapier | Native |
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:
- Honeypot links are invisible to users (CSS hidden, aria-hidden)
- Only bots follow invisible links (or manually inspecting HTML)
- Legitimate users never trigger detections (mathematically impossible)
- 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
| Plan | Price | API Calls/Month |
|---|---|---|
| Starter | $23/month | 25,000 |
| Freelance | $49/month | 100,000 |
| Agency | $69/month | 300,000 |
| Business | $259/month | 1,000,000 |
WebDecoy Pricing
| Plan | Price | Features |
|---|---|---|
| Starter | $59/month | 10 decoys, 10K detections |
| Pro | $149/month | 50 decoys, 100K detections, Endpoint Decoys |
| Agency | $299/month | Unlimited decoys, 500K detections, SIEM integration |
| Enterprise | $449/month | Custom 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.