Security Scan Report: session.bugsnag.kindle.amazon.dev

Submitted: Jan 13, 2026, 4:03:27 AMCompleted: Jan 13, 2026, 4:05:09 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 session.bugsnag.kindle.amazon.dev and was registered NaN years ago.

Submitted URL: https://session.bugsnag.kindle.amazon.dev

The Cisco Umbrella rank of the primary domain is #352 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain
High reputation ranking
No suspicious content or redirects
No credential or payment collection
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(62% confidence)

Category

documentation technical

(50%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'session.bugsnag.kindle.amazon.dev' is registered; it also runs on subdomain 'session.bugsnag.kindle'. Its registrable label 'amazon' stretches across 6 characters split between 3 vowels and 3 consonants. It segments into one word: amazon. Median word length comes out to 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://session.bugsnag.kindle.amazon.dev

Page Load Overview

6.72s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:62%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:62%
Script Type:Latin
Text Length:128 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

documentation technical
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
244.227.112.59Boardman, Oregon, United States
AS16509AMAZON-02
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C5D0EBBAC0E2040A28336ECCDDA280048FC8B3CE68731C07B0C8B0F88B8380AC40378C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B96CT8CoQco3VvsbzujYj89NdxELa:kxV7HfCHFKbzDq7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:f7065f3c1087c3929283b050873fdf2c

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:00ffffffffffffff
Perceptual Hash:b333333333333331
Difference Hash:9800000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#692dd2

Other Hashes

Crop Resistant:9800000000000000

Scan History

Scan history not available

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