Security Scan Report: sayfloubnha.web.app

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Submitted: Completed: publiccompleted
This website contacted 3 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://sayfloubnha.web.app/

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Bare Firebase-hosted placeholder page titled 'waiting' with no forms, no brand impersonation, and no malware or threat-intel evidence. Only an IP-geolocation lookup was observed.

Safety Factors (5)
No credential, login, or payment forms detected.
No Indicators of Compromise matched the page or its resources.
No hunting rule malware detections or known malicious kits identified.
No brand impersonation detected.
The observed external IP-lookup request is a standard geolocation function and is not credential exfiltration.
Domain age information unavailable

Details

Page Title

waiting

Scan Type

public

Domain Name Analysis

The domain 'sayfloubnha.web.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'sayfloubnha'. The registrable portion 'web' spans 3 characters split between 1 vowel and 2 consonants. Splitting it apart reveals one word: web. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.40s
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.
151.77.64.70Germany
AS16276OVH SAS
151.195.5.58Limburg an der Lahn, Hesse, Germany
AS16276OVH SAS
33--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C9F2667105E74F949A88C4DB253D944B29AA14938CCEF781BBDEA1212FDC10C76F7A72

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3Uv+tIqJhBQC2d1m0AcPjd4+2cH/38ru7f2nVRlu1TJs7RQJq6OPxMpoXZPZ8pEH:kiQTdkql28opMzjkP+zV+Vvu2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35138:gmSQmQIJZASAopCs7IAIGh400hQjAk0CZDFpsKAgBPCUFIEAYlIAYHIGikCQFUAuQYQAT/sLgC3JsLcVENgJEEchyvsAE5R8

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