Security Scan Report: sequel-abuj.web.app

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Submitted: Dec 10, 2025, 11:30:47 AMCompleted: Dec 10, 2025, 11:31:26 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: 88%

7
Risk Score

Phishing login page on a newly created, unranked domain – high risk.

Risk Factors
Hidden password field used for credential harvesting
Phishing lure via email address in URL fragment
Credential‑harvesting login form on a brand‑less, unranked domain
New/unknown domain age increasing suspicion
Domain age information unavailable

Details

Page Title

Ancore Inspection

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(59%)

Domain Information

Within the application-focused generic top-level domain (.app), 'sequel-abuj.web.app' is registered; it also runs on subdomain 'sequel-abuj'. The second-level label 'web' is 3 characters long split between one vowel and 2 consonants. Segmentation suggests 1 word: web. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

16.04s
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
313.216.152.137Ashburn, Virginia, United States
AS14618AMAZON-AES
2104.26.12.205United States
AS13335CLOUDFLARENET
2199.36.158.100United States
AS54113FASTLY
2104.26.13.205United States
AS13335CLOUDFLARENET
22620:0:890::100United States
AS54113FASTLY
2172.67.74.152United States
AS13335CLOUDFLARENET
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

T19AA2B5447021D8698D3F565A12BF8E2C70BC5DA25E06CE79B1DB89082EC46FC33D7B99

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:uxz/Ml3fVOS4mumXmHmzrmgm8mdwoC9aI6WH1Pro8hulv4PCtba3:nymumXmHmzrmgm8mdwoC9aI6WVro8huy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23210:qoBMANLBAAwAYGGUC4QGoEaAAbrLECCTkwKY+y8qKBdGEolyBEghTkAMmAIlAACIVEKgyCbSgxEhmQKIoQUYGMBAKBeIjEGP

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:ffe7181818ffffff
Perceptual Hash:d999a66659998966
Difference Hash:108c323279298400
Wavelet Hash:0f0f181818c3cfcf
Color Hash:#79d2aa

Other Hashes

Crop Resistant:108c323279298400

Scan History

Scan history not available

Unable to load historical scan data