Security Scan Report: retractionwatch.com

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Submitted: Aug 14, 2026, 8:50:00 PMCompleted: Aug 14, 2026, 8:51:16 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is retractionwatch.com and was registered NaN years ago.

Submitted URL: https://retractionwatch.com/2026/07/27/cambridge-jason-arday-plagiarism-allegations-times-higher-education-exclusive/

The Cisco Umbrella rank of the primary domain is #598,850 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 94%

1
Risk Score

The site appears to be a legitimate news article with no phishing, malware, or credential‑harvesting indicators.

Safety Factors
Established domain age
Self‑branding aligns with domain
No malicious network or IDS alerts
No external links to known phishing or malware sites
Domain age information unavailable

Details

Page Title

Exclusive: News outlet killed story on plagiarism allegations after Cambridge prof hired law firm – Retraction Watch

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(47%)

Domain Information

The domain 'retractionwatch.com' uses the commercial generic top-level domain (.com). Count 15 characters in 'retractionwatch' split between 5 vowels and ten consonants. Breaking it apart gives two words: retraction, watch. The median word length lands at 7.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://retractionwatch.com/2026/07/27/cambridge-jason-arday-plagiarism-allegations-times-higher-education-exclusive/

Page Load Overview

2.32s
Total Load Time
45
HTTP Requests
8
Domains
652 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:61,212 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism47% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

news media journalism
47%
news/blog
35%
government public service
29%
documentation technical
28%
adult content
27%

Detected Features

Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15104.26.3.138Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
15192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
15192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
453--

Page Statistics

45
Requests
8
Unique Domains
997.2 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C164B4F224CA197F465B62C29C19F764A27B9E3CC94404DCF6FB82902791EEA231735D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:sk7Wq6BXAgQ+aaIR9b/7v0XPva7zM4p372hLh7kRkz3QTAZUuIFnu9WTB7:1zgQ3aIR9b/7Si7Y4p37Mt3ZO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:319171:lSBwtWUsTGCUQENmowmIEjAiAaIJAC7lyMmQB0BiRHZAxumoCnxAECGgEBlLmUACJduHLIGQAAzBoGrKWBjAKCDmBEYyIANg

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:fff39fe383a1e3ff
Perceptual Hash:ee9b916498639e1c
Difference Hash:38062e272727462c
Wavelet Hash:fee383e18181e1f2
Color Hash:#2daed2

Other Hashes

Scan History

Scan history not available

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