Security Scan Report: scpostbg.web.app

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Submitted: Completed: publiccompleted
This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://scpostbg.web.app

AI Security Verdict

High Risk

Confidence: 68%

7
Risk Score

Empty 'waiting' page on a free web.app subdomain whose primary domain carries a single-source phishing report; an IP-geolocation lookup script and the staging-page shape corroborate. No forms or brand impersonation were observed.

Risk Factors (5)
Single-source threat-intel report naming the primary domain as phishing
Bare 'waiting' page with no real content on a free hosting subdomain, typical of phishing staging
Cross-origin POST to an IP-geolocation service (ip-api.io) from an otherwise empty page
No verifiable reputation: domain unranked in Cisco Umbrella
Hosting-platform subdomain of unknown creation date
Domain age information unavailable

Details

Page Title

waiting

Scan Type

public

Domain Name Analysis

The domain name 'scpostbg.web.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'scpostbg'. Count 3 characters in 'web' holding 1 vowel versus two consonants. It segments into 1 word: web. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://scpostbg.web.app

Page Load Overview

0.84s
Total Load Time
12 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Text Length:7 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
1136.243.156.168Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
32--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DFF2677105E74F948A88C4DB253D944B29AA14978CCEF781BBDEA1212FDC10C76F7A72

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:gjv+tIqJhBQC2d1m0AcPjd4+2cH/38ru7f2nVRlu1TJs7RQJq6OPxMpoXZPZ8pE7:2iQTdkql28opMzjkP+zV+VvuY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34703:GoUJ0VBIEfTgYBQCx8AkAUMKQLIReBBFlMCTAQIIEGyA1MIh4AAIQupEAXBeAMDyMiBgBhgCFTQKNyKDsCIIxcEoDA8ASUOX

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data