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Security Scan Report: nginx-auth.devcloud-system.zafire.sehlat.io

Submitted: Mar 9, 2026, 6:48:27 PMCompleted: Mar 9, 2026, 6:50:00 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is nginx-auth.devcloud-system.zafire.sehlat.io and was registered NaN years ago.

Submitted URL: https://nginx-auth.devcloud-system.zafire.sehlat.io/login?rd=http://angular-app-pre-425.zafire.sehlat.io%2F

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate despite being currently unreachable.

Safety Factors
Well‑established domain (>7 years old)
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware or obfuscation
No network IDS alerts
Domain age information unavailable

Details

Page Title

nginx-auth.devcloud-system.zafire.sehlat.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(74%)

Domain Information

The domain 'nginx-auth.devcloud-system.zafire.sehlat.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'nginx-auth.devcloud-system.zafire'. Its registrable label 'sehlat' stretches across 6 characters split between 2 vowels and four consonants. Word splitting yields 3 words: se, hl, at. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nginx-auth.devcloud-system.zafire.sehlat.io/login?rd=http://angular-app-pre-425.zafire.sehlat.io%2F

Page Load Overview

8.19s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:825 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software74% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
74%
documentation technical
49%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19.163.251.147Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D0048F77329A063986558498E05B830D9F20B143F506C9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:yfQho9PKBb9Js3q9Jzbs6tlg1ySBKwdQWgceIsz52bMy8Oldi:phoC9JSqzzbs6okSj3gcrs12eAo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187465:CEkMRARIBQ8A4OCKAGcNAEAiCaBMMAKmw7AJgEcj7AEsI1AEiJhEISBFi8AUwCxykMBOwNKJFhCQCAQJkAoaAiCBEYHGGhGI

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339ecccc933364
Difference Hash:00181c1c16000000
Wavelet Hash:3f1f0307c0fcf0f0
Color Hash:#d2692d

Other Hashes

Crop Resistant:00181c1c16000000

Scan History

Scan history not available

Unable to load historical scan data