Security Scan Report: rewards.bing.com

Redirected to:
https://rewards.bing.com/about
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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 3 countries across 11 domains to perform 62 HTTP transactions. The main domain is bing.com and was registered 30 years ago.

Submitted URL: https://rewards.bing.com/

Effective URL:
https://rewards.bing.com/about
Redirected

The Cisco Umbrella rank of the primary domain is #22 of the top 1 million websitesTop 100 Site

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Official Microsoft Rewards 'About' page on the established bing.com domain; no forms, no impersonation, and no threat-intelligence or malware signals.

Safety Factors (5)
Long-established domain (registered 1996) on the official bing.com infrastructure
Top-100 Cisco Umbrella ranking
Self-branding: 'Microsoft Rewards' matches rewards.bing.com
Zero credential or payment forms on the page
All external script hosts are Microsoft-owned or ranked analytics domains
Domain age information unavailable

Details

Page Title

About – Microsoft Rewards

Scan Type

public

Domain Name Analysis

The domain name 'rewards.bing.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'rewards'. Count 4 characters in 'bing' containing one vowel alongside 3 consonants. It segments into 1 word: bing. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

BP Microsoft | Rewards Dashboard Ear Redeem About Refer and Earn Explore the benefits of your Microsoft Rewards i oh 4 ‘You wil receive emails about Microsoft Rewards, which include offers about Mic...

Page Load Overview

1.42s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:12,051 chars
Detector Agreement:100%

All Detected Languages

🇺🇸en(99%)🇫🇷fr(1%)

Website Classification

Primary Category

entertainment media95% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
95%
technology software
87%
e-commerce shopping
87%
government public service
57%
education learning
55%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
34150.171.28.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
12150.171.27.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
7150.171.109.105Azure · CLOUDUnited States
AS8075Microsoft Corporation
74.150.223.109Azure · CLOUDDes Moines, Iowa, United States
AS8075Microsoft Corporation
7150.171.109.104Azure · CLOUDUnited States
AS8075Microsoft Corporation
320.86.88.94Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
320.57.85.160Azure · CLOUDBoydton, Virginia, United States
AS8075Microsoft Corporation
120.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
628--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10044F821B008DA7AD85B6D4AB13CBD7A524E525BC909D8F0B6FCCE1C13CB975AD636C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:SqqJnvpI5nPwqSBXu3G333GSzotKR0+/6MhElWdhk4GZNfMdptVC:SqjSmZO5VC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:275726:UgCWMglokCWSpVGaBKZoIhlIjcQDcqmQAAiC2gRwTIC7VAMABAxgEB69gQIqABkFMEFAESLFQIRgbOUC1DhKZAKCNBHk0MQy

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:f7f19191f9ffffe7
Perceptual Hash:ed6d9292d21e1d19
Difference Hash:a483336383724c0e
Wavelet Hash:16f18181f1abffc0
Color Hash:07401040040

Other Hashes

Crop Resistant:a483336383724c0e

Scan History

Scan history not available

Unable to load historical scan data