Security Scan Report: sessions.bugsnag.com

Submitted: Dec 7, 2025, 12:39:33 AMCompleted: Dec 7, 2025, 12:41:11 AMpubliccompleted
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Summary

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

Submitted URL: https://sessions.bugsnag.com/

The Cisco Umbrella rank of the primary domain is #711 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
Long‑standing reputable domain
High reputation ranking
No suspicious content or redirects
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(62% confidence)

Category

documentation technical

(39%)

Domain Information

Within the commercial generic top-level domain (.com), 'sessions.bugsnag.com' is registered with subdomain 'sessions'. The second-level label 'bugsnag' is 7 characters long containing two vowels alongside five consonants. Word splitting yields 2 words: bugs, nag. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sessions.bugsnag.com/

Page Load Overview

0.30s
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 technical39% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
235.190.88.7United States
AS396982GOOGLE-CLOUD-PLATFORM
12600:1901:0:7a0b::Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
22--

Detected Technologies3

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:#d2b079

Other Hashes

Crop Resistant:9800000000000000

Scan History

Scan history not available

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