Security Scan Report: graph.mapillary.com

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Submitted: Mar 4, 2026, 6:24:16 AMCompleted: Mar 4, 2026, 6:26:01 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is graph.mapillary.com and was registered NaN years ago.

Submitted URL: https://graph.mapillary.com

The Cisco Umbrella rank of the primary domain is #620,167 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 500 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(72% confidence)

Category

cryptocurrency blockchain

(30%)

Domain Information

You're looking at domain 'graph.mapillary.com' on the commercial generic top-level domain (.com) and includes subdomain 'graph'. Its registrable label 'mapillary' stretches across 9 characters holding 3 vowels versus 6 consonants. Tokenizing the label suggests three words: ma, pillar, y. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://graph.mapillary.com

Page Load Overview

5.42s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:72%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:72%
Script Type:Latin
Text Length:212 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain30% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
30%
documentation technical
30%
phishing scam
29%
technology software
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2157.240.0.13Finland
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T129E0C032C4A048174267A4ED9CD1610465C5B1175C315D46FECC907CCFDEC2BCC532C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B96AAD/YIqkVgM9r4YaidyeREH+8fASiSQwY0YNdxELa:kxV7HfAAEI39rYeREHziczY7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:20ec577c8a29445819568d621d72e1ef

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:003fffffffffffff
Perceptual Hash:83030303077f7e7f
Difference Hash:c0c0000000000000
Wavelet Hash:003ff0f0f0f0f0f0
Color Hash:#2d6d86

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

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