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Security Scan Report: www.fb101.com

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Submitted: Jun 13, 2026, 12:32:39 PMCompleted: Jun 13, 2026, 12:34:18 PMpubliccompleted
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Summary

This website contacted 9 IPs in 1 country across 9 domains to perform 2 HTTP transactions. The main domain is fb101.com and was registered NaN years ago.

Submitted URL: https://www.fb101.com/red-lobster-partners-with-soundhound-ai-to-launch-voice-ai-powered-takeout-ordering-nationwide/

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

The site appears to be a legitimate news article with no phishing, malware, or credential collection signs.

Safety Factors
Old domain age
No credential or payment collection
Article metadata matches content type
No malicious JavaScript or external exploit indicators
Domain age information unavailable

Details

Page Title

Red Lobster Partners with SoundHound AI to Launch Voice AI-Powered Takeout Ordering Nationwide - Food & Beverage Magazine

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(81%)

Domain Information

The domain 'www.fb101.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The registrable portion 'fb101' spans 5 characters containing zero vowels alongside two consonants; bonus characters include three digits. Breaking it apart gives 2 words: fb, 101. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.fb101.com/red-lobster-partners-with-soundhound-ai-to-launch-voice-ai-powered-takeout-ordering-nationwide/

Page Load Overview

7.66s
Total Load Time
148
HTTP Requests
30
Domains
3.3 MB
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-US
Text Length:71,186 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
81%
e-commerce shopping
57%
entertainment media
44%
technology software
40%
government public service
37%

Detected Features

Search
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20172.67.68.85United States
AS13335Cloudflare, Inc.
16142.250.154.95United States
AS15169Google LLC
16151.101.129.155United States
AS54113Fastly, Inc.
16142.251.14.156United States
AS15169Google LLC
1654.192.35.21United States
AS16509Amazon.com, Inc.
16104.16.138.209United States
AS13335Cloudflare, Inc.
16192.178.183.155United States
AS15169Google LLC
163.160.150.75United States
AS16509Amazon.com, Inc.
16192.178.183.97United States
AS15169Google LLC
1489--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T118B4C571B840293F663B01C8E25AD71E71D7A30FE5990880D6F5436C87E5E78F62E2A7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:pTLInG15mGQhFmc0QXherLNTYJqcZuoZ18ZCAJ0kocbtMwmU0QkYrLNze+oIbLc0:p/cphmQb3QhcIGRoYhiLfsiT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500261:IoUFXwCzouImIYBJC2GIvcAQFBk2KjECII8hsoIFwERYTIpMICg6IKAlkAqcYHNYLkiYAKIEnUAKCi4ARkkARVACghTrYPuA

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:00001c1c3c1c0000
Perceptual Hash:9c1563c7cb949c95
Difference Hash:2d3032323333aa0b
Wavelet Hash:87009f9ffd9d8181
Color Hash:#b287c5

Other Hashes

Crop Resistant:8aaa9ea4a2aab613,2d3032323333aa0b

Scan History

Scan history not available

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