Security Scan Report: sequel-abuj.web.app

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Submitted: Dec 10, 2025, 10:39:53 AMCompleted: Dec 10, 2025, 10:40:21 AMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 3 domains to perform 15 HTTP transactions. The main domain is sequel-abuj.web.app.

Submitted URL: https://sequel-abuj.web.app/owa/state/aHR0cHM6Ly/#[email protected]

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Phishing login page on a newly created, untrusted domain – avoid interaction.

Risk Factors
Credential harvesting form on a suspicious, likely new domain
Email address in URL fragment (phishing lure technique)
Domain not listed in Cisco Umbrella top 1M (low reputation)
Impersonation of another domain (anus.se) without legitimate branding
Absence of noindex tag despite phishing‑like content
Domain age information unavailable

Details

Page Title

Ancore Inspection

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(59%)

Domain Information

You're looking at domain 'sequel-abuj.web.app' on the application-focused generic top-level domain (.app) with subdomain 'sequel-abuj'. The registrable portion 'web' spans 3 characters holding one vowel versus two consonants. It segments into one word: web. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sequel-abuj.web.app/owa/state/aHR0cHM6Ly/#anus@anus.se

Page Load Overview

13.72s
Total Load Time
15
HTTP Requests
3
Domains
205 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:96 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service59% confidence
Type: webapp
Method: ml+structural

All Detected Categories

government public service
59%
documentation technical
52%
corporate business
51%
news media journalism
46%
technology software
37%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3199.36.158.100United States
AS54113FASTLY
2104.26.12.205United States
AS13335CLOUDFLARENET
213.216.152.137Ashburn, Virginia, United States
AS14618AMAZON-AES
2172.67.74.152United States
AS13335CLOUDFLARENET
2104.26.13.205United States
AS13335CLOUDFLARENET
22620:0:890::100United States
AS54113FASTLY
298.87.66.187Ashburn, Virginia, United States
AS14618AMAZON-AES
157--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T169A2B5447021D8698D3F565A12BF8E2C70BC5DA25E06CE79B1DB89082EC46FC33D7B99

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:uxz/Ml3fVOS4mumXmHmzrmgm8mdwoC9aI6WH1Pro8huNvMJCtba3:nymumXmHmzrmgm8mdwoC9aI6WVro8huM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23277:EsAAo1LSkIDAEGEA6gwJKECgCKJDsqgCA4IYLWOuBFp60YXggBCgFYdADBLwAIUYBB4IwSQCgDGhQUesgCQACSFCAFI5FkGC

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:0000181818100000
Perceptual Hash:99992676d9898976
Difference Hash:100c32b2b2624d00
Wavelet Hash:0f0f1b7b5a7b0c0c
Color Hash:#a1c587

Other Hashes

Crop Resistant:100c32b2b2624d00

Scan History

Scan history not available

Unable to load historical scan data