Security Scan Report: sequel-abuj.web.app

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Submitted: Dec 10, 2025, 10:48:53 AMCompleted: Dec 10, 2025, 10:49:53 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: 92%

7
Risk Score

The site harvests login credentials and impersonates a known brand; avoid and report.

Risk Factors
Login form collecting credentials on a suspicious, unranked domain
Email address embedded in URL fragment (phishing lure technique)
Brand impersonation without proper domain ownership
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); it also runs on subdomain 'sequel-abuj'. The second-level label 'web' is 3 characters long split between 1 vowel and 2 consonants. It segments into one word: web. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

45.50s
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%
corporate business
52%
documentation technical
52%
news media journalism
46%
technology software
37%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2199.36.158.100United States
AS54113FASTLY
298.87.66.187Ashburn, Virginia, United States
AS14618AMAZON-AES
2104.26.13.205United States
AS13335CLOUDFLARENET
22620:0:890::100United States
AS54113FASTLY
2104.26.12.205United States
AS13335CLOUDFLARENET
213.216.152.137Ashburn, Virginia, United States
AS14618AMAZON-AES
2172.67.74.152United States
AS13335CLOUDFLARENET
157--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T146A2B5447021D8698D3F565A12BF8E2C70BC5DA65E06CE78B1DB89082EC46FC33D7B59

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:uxz/Ml3fVOS4mumXmHmzrmgm8mdwoC9aI6WH1Pro8hulv5BCtba3:nymumXmHmzrmgm8mdwoC9aI6WVro8huB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23216:AtgAgdDaCEcIYOBATAABIQRKkZFCkKiQESCY2yMiCAdYF6LiQDGsAgSmnJGhAAQYcIJgwgWCiwHiAQCppRSKGMBAiRRABMML

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:0000181818000000
Perceptual Hash:9999666699999966
Difference Hash:100c32b22a080400
Wavelet Hash:3c3c1818d8c0f0f0
Color Hash:#d22dd0

Other Hashes

Crop Resistant:100c32b22a080400

Scan History

Scan history not available

Unable to load historical scan data