Security Scan Report: babel.zenlist.com

Submitted: Jan 8, 2026, 1:44:04 PMCompleted: Jan 8, 2026, 1:45:28 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is babel.zenlist.com and was registered NaN years ago.

Submitted URL: https://babel.zenlist.com

The Cisco Umbrella rank of the primary domain is #246,782 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site appears legitimate with no security concerns; currently returns HTTP 426 error.

Safety Factors
Long‑standing domain registration
Low ranking does not coincide with brand impersonation
No external links or suspicious redirects
Domain age information unavailable

Details

Page Title

babel.zenlist.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(50%)

Domain Information

Within the commercial generic top-level domain (.com), 'babel.zenlist.com' is registered; it also runs on subdomain 'babel'. The registrable portion 'zenlist' spans 7 characters holding two vowels versus 5 consonants. Splitting it apart reveals 2 words: zen, list. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://babel.zenlist.com

Page Load Overview

5.30s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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
Text Length:163 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical50% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
50%
adult content
48%
news media journalism
48%
healthcare medical
44%
government public service
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
144.235.160.65Boardman, Oregon, United States
AS16509AMAZON-02
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T141048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:3fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszz2bMy8Oldz:IhoC9JSqzzbs6o3Sj3gcrsX2eAh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184396:AGAqEWCSgCQOEUkANGIgICGQAaEDAmFpg1RBlIBIbQxUxgAtK6CIoQIaAQ4BlvlXYCHFICQlGlFA1CZAJAFJHiOTQCjFQcDC

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:ffcfc7f3ffffffff
Perceptual Hash:a1319bcecc6c3333
Difference Hash:00181c0600000000
Wavelet Hash:ffdfc7f300000000
Color Hash:#ae40bf

Other Hashes

Crop Resistant:00181c0600000000

Scan History

Scan history not available

Unable to load historical scan data