Security Scan Report: cbgemcredentialorg.web.app

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Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 4 domains to perform 9 HTTP transactions. The main domain is web.app and was registered 7 years ago.

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

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Bare 'access' placeholder on a .web.app shared-hosting subdomain with a credential-themed name. No forms, no malware, no impersonation observed; only unverified generic abuse-reputation matches and informational IDS alerts. Suspicious name/host, no confirmed malicious content.

Risk Factors (4)
Hostname 'cbgemcredentialorg' is suggestive of a credential-collection operation despite the empty capture
Free shared hosting subdomain (.web.app) with unverifiable page age — pages here can be spun up instantly
Page content is a bare 'access' placeholder with no identifying information about the operator
Domain absent from Cisco Umbrella top 1M (weak prior only)
Safety Factors (6)
No forms of any kind detected (total forms = 0, password fields = 0, payment fields = 0)
No disguised/orphan password fields or Unicode confusion
No JavaScript malware (YARA) patterns and no obfuscated with a network sink
No brand impersonation detected — nothing claims to be another organisation
No cross-origin form submissions or credential exfiltration
All page JavaScript served from the site's own domain
Domain age information unavailable

Details

Page Title

access

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'cbgemcredentialorg.web.app' is registered, featuring subdomain 'cbgemcredentialorg'. Its registrable label 'web' stretches across 3 characters holding 1 vowel versus 2 consonants. It segments into 1 word: web. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.82s
Total Load Time
547 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

Text Length:123 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software46% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
46%
adult content
39%
news media journalism
36%
documentation technical
33%
healthcare medical
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
1172.67.69.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.12.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
188.99.60.242Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
1104.26.9.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
96--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA1104D2DC14608E82314BCD7DB1F22ED487EB0D5E3158D074A851AD0DEAB95BD12D08

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hv1kOe6tMCvUWrVW1NVDOC74NQA8X5FmtZ0NN66Fa:nHMCvPM1LOC7xA8J4z+6d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:921:AEAAAAAAIAAEAAAAAAAAAhAAAEAAEAAAQAEAAAAAAAEAAAAgAAAAAAAAAAAAACACAIBAAAAAAACAAEAAAEAAAAAAAAAAAAAg

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:0000000000ffffff
Perceptual Hash:b333cc4c4cb33333
Difference Hash:0000080800000000
Wavelet Hash:3030282000ffffff
Color Hash:#6ce083

Other Hashes

Crop Resistant:0000080800000000

Scan History

Scan history not available

Unable to load historical scan data