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Security Scan Report: sequel-abuj.web.app

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/96efef75-61d5-466d-ad2d-8ab307617627Domain and IP registration (RDAP)/api/v1/rdap/96efef75-61d5-466d-ad2d-8ab307617627How often this domain was scanned/api/v1/domain/stats/sequel-abuj.web.appScan history for this domain/api/v1/domain/history/sequel-abuj.web.app?limit=15
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

Site likely phishing for credentials; do not use.

Risk Factors (4)
Phishing lure via email address in URL fragment
Credential harvesting form on a brand‑less, newly registered domain
Unranked domain lacking reputation
Social‑engineering prompt for paid account sign‑up
Domain age information unavailable

Details

Page Title

Ancore Inspection

Scan Type

public

Domain Name Analysis

The domain 'sequel-abuj.web.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'sequel-abuj'. The core label 'web' covers 3 characters containing one vowel alongside 2 consonants. Word splitting yields 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/#qwe@rds.se

Page Load Overview

4.64s
Total Load Time
225 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

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

Detected Technologies4

PasswordField
100%
HTTP/3
40%
HSTS
40%
Firebase
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E3A2B5447021D8658D3F565A12BF8E2C70BC5DA25E06CE79B1DB89082EC46FC33D7B59

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:uxz/Ml3fVOS4mumXmHmzrmgm8mdwoC9aI6WH1Pro8hulvcjCtba3:nymumXmHmzrmgm8mdwoC9aI6WVro8huq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23198:IMlCIQIRVNSQ0AsRoK4xgESAyaJGEgAggxIgySYAKFpMhiRiBGkMZAEgTAIRAAQAGFrijITCCwDihUiEIYSIKaAWCkRMZoGJ

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:fcfc181818c30f0f
Color Hash:#7753ac

Other Hashes

Crop Resistant:108c323279298400

Scan History

Scan history not available

Unable to load historical scan data