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Security Scan Report: 1rail-dev.com

Submitted: Dec 15, 2025, 10:52:08 PMCompleted: Dec 15, 2025, 10:52:55 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is 1rail-dev.com and was registered NaN years ago.

Submitted URL: https://1rail-dev.com/auth/login/azuread-tenant-oauth2/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed phishing scam impersonating One Rail Australia on a newly registered domain.

Risk Factors
Brand impersonation on a brand‑new, unranked domain
Critical domain age (<7 days) with credential collection UI
Absence of any legitimate branding verification or official domain
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(86%)

Domain Information

Domain '1rail-dev.com' uses the commercial generic top-level domain (.com) with no subdomain. The second-level label '1rail-dev' is 9 characters long with 3 vowels and 4 consonants, along with one digit and one hyphen. Segmentation suggests three words: 1, rail, dev. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://1rail-dev.com/auth/login/azuread-tenant-oauth2/

Page Load Overview

8.17s
Total Load Time
3
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:735 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software86% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
86%
documentation technical
63%
adult content
59%
government public service
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
34.197.60.227Sydney, New South Wales, Australia
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T196735BD97EB72937828A44B9B4B96E02AE7A1D03884CDC60F19CCD842FF775D8167217

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Dg8GLGGnqIqkXqmq6qoqB0SOozTEyqU6MVnvnaloMPw8EE7yisyqQC:E8KBNrz5pSOXyS20LC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:79438:YKYzUAOBSQmAoYQ9RGJAgg4UCNAEBkhsKkhDE0CWhFwF9iIYCgnCAUSoJInIg4gthFkIeYBAg8JMI6IEBqICAEFpM4/EgQSY

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:0018181818181800
Perceptual Hash:89d9333366669999
Difference Hash:4cb2b2b2b2b2320d
Wavelet Hash:10183c3c3c3c3931
Color Hash:#87c5ac

Scan History

Scan history not available

Unable to load historical scan data