Security Scan Report: s-usc1f-nss-2559.firebaseio.com

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Submitted: May 31, 2026, 8:57:33 AMCompleted: May 31, 2026, 8:59:11 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 2 HTTP transactions. The main domain is s-usc1f-nss-2559.firebaseio.com and was registered NaN years ago.

Submitted URL: https://s-usc1f-nss-2559.firebaseio.com

The Cisco Umbrella rank of the primary domain is #1,892 of the top 1 million websitesTop 10K Site

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Page shows Google‑style sign‑in text but lacks forms or malicious activity; overall low risk.

Risk Factors
High JavaScript obfuscation (base64, charcode manipulation, excessive concatenation)
Phishing‑like text referencing Google without functional forms
Safety Factors
Well‑established domain age (>13 years)
Hosted on reputable Firebase (Google) infrastructure
No forms or credential exfiltration observed
No known malicious indicators or network alerts
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

Sign in - Google Accounts

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 's-usc1f-nss-2559.firebaseio.com' uses the commercial generic top-level domain (.com) and includes subdomain 's-usc1f-nss-2559'. The registrable portion 'firebaseio' spans 10 characters split between six vowels and 4 consonants. Tokenizing the label suggests three words: fire, base, io. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://s-usc1f-nss-2559.firebaseio.com

Page Load Overview

0.67s
Total Load Time
3
HTTP Requests
3
Domains
N/A
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: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
3142.251.20.94United States
AS15169Google LLC
0142.250.154.113United States
AS15169Google LLC
034.120.160.131Kansas City, Missouri, United States
AS396982Google LLC
0142.251.127.84United States
AS15169Google LLC
34--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1610594CF9231A03FFD73B1F5D585A94AF2854DD0F90A0AB6BC71AA1342EB6E61251730

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:2C9q3j6/8+Sq3j6/8+Iq3j6/8+tq3j6/8+eq3j6/8+PICuQISNt1/l+IlYKvv439:2CqICV+ItM/BsQGpaRx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:860444:EAdCHCEITJaUMAAQwDFxOShWAUlUVIIQEgSQ4B6SaSE5DociklxolB6NIsqwYFgAQYSgwEr4bgAMjDECQLAsOTEILKAq+mBQ

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:ffffe7e7e7e3efff
Perceptual Hash:e69989649b336699
Difference Hash:00000c0c0c051000
Wavelet Hash:3c242424e4e4e4fc
Color Hash:#c59e87

Other Hashes

Crop Resistant:00000c0c0c051000

Scan History

Scan history not available

Unable to load historical scan data