Security Scan Report: pubs.nctm.org

Bot Protection Detected

This website is protected by AWS WAF bot protection. The page may show differently for regular users.

Submitted: Completed: publiccompleted
This website contacted 12 IPs in 1 country across 4 domains to perform 13 HTTP transactions. The main domain is nctm.org and was registered 31 years ago.

Submitted URL: https://pubs.nctm.org/search?f_0=author&q_0=Toya+Jones+Frank

The Cisco Umbrella rank of the primary domain is #251,394 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

AWS WAF human-verification challenge on the long-established NCTM publications domain. No forms, no impersonation, no Indicators of Compromise — a benign bot check, not a phishing page.

Safety Factors (5)
Domain registered 1995 (well-established, ~31 years old)
CAPTCHA challenge served by Amazon AWS WAF, a mainstream bot-mitigation provider
Zero credential or payment form fields on the page
Clean threat intelligence, YARA and IDS results
No cross-origin credential submission or exfiltration detected
Domain age information unavailable

Details

Page Title

Human Verificationother network

Scan Type

public

Domain Name Analysis

The domain name 'pubs.nctm.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'pubs'. The registrable portion 'nctm' spans 4 characters holding 0 vowels versus 4 consonants. Tokenizing the label suggests two words: nc, tm. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pubs.nctm.org/search?f_0=author&q_0=Toya+Jones+Frank

Page Load Overview

0.48s
Total Load Time
511 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:866 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical69% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
69%
phishing scam
64%
finance banking
58%
news media journalism
46%
adult content
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
213.226.244.14Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
152.222.136.31Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
13.174.46.87Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
165.8.131.123Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
113.226.244.122Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
165.8.131.13Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
154.192.35.22Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
165.8.131.119Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
165.8.131.32Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
165.8.131.58Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1312--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E4330732301E892F4E0D52ABBC1269473FAD541322F1E6C8FE49169185FA9D6B40DDEF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:IkoDBInHSCTHmEmtiaUzRIfdF4yn4CeyV7Jq2Ba+0K6X+RJ6uiscqgu:I0nHSCTGEOqy1tE23A6eqgu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:52914:SMpCwECjfAIBJJODcEMDVMADyAkWAkgAA1KIYJFIEYoIwCegEkBMDChIsMQliEpAAMICaRAAiZqahYSBRtEGAE03D3SCgrgE

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:e6e6e6eefefefefe
Perceptual Hash:f73388cc8ccc2277
Difference Hash:0c0c0c0800000000
Wavelet Hash:e6e6e6e60e0e0e0e
Color Hash:#c5b687

Other Hashes

Crop Resistant:0c0c0c0800000000

Scan History

Scan history not available

Unable to load historical scan data