Security Scan Report: m31y1zsvw9l7.statuspage.io

Submitted: Sep 2, 2026, 1:58:50 PMCompleted: Sep 2, 2026, 2:00:01 PMpubliccompleted

Summary

This website contacted 14 IPs in 2 countries across 8 domains to perform 2 HTTP transactions. The main domain is m31y1zsvw9l7.statuspage.io and was registered 26 years ago.

Submitted URL: https://m31y1zsvw9l7.statuspage.io

The Cisco Umbrella rank of the primary domain is #3,069 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The page shows no malicious indicators, uses a well‑established domain, and contains only informational content and subscription forms.

Safety Factors
Established domain with long registration history
High Cisco Umbrella ranking (top 10 K)
No malicious network or IDS alerts
Only informational subscription forms without password fields
Content matches official University of Essex status page
Domain age information unavailable

Details

Page Title

University of Essex IT Status

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(87%)

Domain Information

The domain 'm31y1zsvw9l7.statuspage.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'm31y1zsvw9l7'. The second-level label 'statuspage' is 10 characters long split between 4 vowels and six consonants. Segmentation suggests two words: status, page. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of cdnjs.cloudflare.com

Page Load Overview

2.16s
Total Load Time
26
HTTP Requests
8
Domains
317 KB
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:8,045 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software87% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
87%
documentation technical
77%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1354.192.35.3Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
118.244.18.104Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1108.138.7.16Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
154.192.35.74Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1146.75.120.157Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
118.244.18.78Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1172.66.0.227Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
154.192.35.97Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2614--

Page Statistics

26
Requests
8
Unique Domains
972.3 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CEA199330414DE252706B262DED535E4CA43121FC7CD499670AB066967F6FF846B373A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TRb4s4+6Z9usVMJTkaQYZedWIwxaTxX51BK5AQQOz+Qd/:xAVITkaQYZeEla9X51BK5AQQOz+K

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4827:ChAAEAYIAwKNAgCAQAAgiQIoIRAQkgFIMBwUgAAJGFCATCAAZAEAgYgEAAQoDBCEABABAgAIAAUgACJMEASEGgUAwIEAQDAQ

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:dbc3c3c7ffdfffff
Perceptual Hash:bc3c9c9a8a636363
Difference Hash:b6b6861e32123232
Wavelet Hash:cac2c3c3c3c3cbc3
Color Hash:#9bd22d

Other Hashes

Crop Resistant:b6b6861e32123232

Scan History

Scan history not available

Unable to load historical scan data