Security Scan Report: what-if.xkcd.com

Submitted: Jan 21, 2026, 10:53:59 AMCompleted: Jan 21, 2026, 10:55:08 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is what-if.xkcd.com and was registered NaN years ago.

Submitted URL: https://what-if.xkcd.com/

The Cisco Umbrella rank of the primary domain is #87,221 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

The site is a legitimate, well‑established xkcd What‑If page with no security concerns.

Safety Factors
Established, well‑ranked domain
No credential or payment collection fields
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Comet Ice

Scan Type

public

Language

🇺🇸

English

(54% confidence)

Category

entertainment media

(56%)

Domain Information

Within the commercial generic top-level domain (.com), 'what-if.xkcd.com' is registered with subdomain 'what-if'. The second-level label 'xkcd' is 4 characters long holding 0 vowels versus 4 consonants. Splitting it apart reveals 1 word: xkcd. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://what-if.xkcd.com/

Page Load Overview

1.36s
Total Load Time
27
HTTP Requests
2
Domains
1.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:54%
Script Type:Latin
Text Length:5,941 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media56% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
56%
documentation technical
48%
news media journalism
45%
adult content
36%
healthcare medical
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14146.75.120.67Frankfurt am Main, Hesse, Germany
AS54113FASTLY
13151.101.192.67United States
AS54113FASTLY
272--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T181B2E95381F8E624311546F47786BBACDE99443FE68E4CA070DC5968DFAADF0C0E7298

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:dd4fnw/nUMIRIV6NZ4lRqre30Lulvq5FQE/S8:un2nU9RFX4f5euVq5FQE/S8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25303:BgIQsJAWQ5EKRDhxRj5mp0xQSxNOVDAJSqBKVFAAZQzgKAwQgWBjwiagGDAASTAEggRDSoiFCIEEIGCoLAIiFYjAaIhcbG+r

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:ffff00003c3c3c3c
Perceptual Hash:8664e4f45b1b3939
Difference Hash:044c136969696969
Wavelet Hash:ffff00003c3c3c3c
Color Hash:#bbc587

Scan History

Scan history not available

Unable to load historical scan data