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Security Scan Report: consumersenergy-schedule.com

Submitted: Oct 16, 2025, 7:40:32 PMCompleted: Oct 16, 2025, 7:44:08 PMpubliccompleted
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Summary

This website contacted 44 IPs in 3 countries across 15 domains to perform 140 HTTP transactions. The main domain is consumersenergy-schedule.com and was registered NaN years ago.

Submitted URL: https://consumersenergy-schedule.com/program/helping-neighbors

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Site impersonates Consumers Energy on an unranked domain, likely a phishing page.

Risk Factors
Brand impersonation on an unranked, low‑reputation domain
Domain name does not belong to the legitimate Consumers Energy organization
Potential social‑engineering to collect personal information
Domain age information unavailable

Details

Page Title

Welcome to the Helping Neighbors Program | Consumers Energy Program

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(73%)

Domain Information

The domain 'consumersenergy-schedule.com' uses the commercial generic top-level domain (.com). Its registrable label 'consumersenergy-schedule' stretches across 24 characters split between eight vowels and 15 consonants; bonus characters include 1 hyphen. Breaking it apart gives 3 words: consumers, energy, schedule. The median word length lands at eight characters. 'consumers' most strongly signals English. It also appears in Chinese (Pinyin) and Tagalog contexts.

Screenshot

Security scan screenshot of https://consumersenergy-schedule.com/program/helping-neighbors

Page Load Overview

6.10s
Total Load Time
140
HTTP Requests
15
Domains
875 KB
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:3,240 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical73% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
73%
technology software
60%
real estate property
54%
government public service
54%
news media journalism
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
105104.18.26.135United States
AS13335CLOUDFLARENET
8104.18.86.42United States
AS13335CLOUDFLARENET
652.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4142.250.186.170United States
AS15169GOOGLE
4142.250.185.168United States
AS15169GOOGLE
3142.250.184.198United States
AS15169GOOGLE
3104.18.27.135United States
AS13335CLOUDFLARENET
313.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3142.250.181.230United States
AS15169GOOGLE
3172.217.18.10United States
AS15169GOOGLE
14044--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14E93711A38546A1AD2D793896A31B946BD11ECDBFE3749DCF05C43781FC8BE24C1A60A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7WvGQZH0YlpwRzz9JAeAosw+3rTy1wDT1zMKIOWkmy:7WvRg52Ty1wDT1zMKIHkmy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:96744:q4BEwDgumgeJPGtJAcF0TUCEIWKVFAQEgAE5iIioJpCWAAGAEYKJChcBJNMIAANo44QslAAdgUYCiYBhDzA+EHnWg4eC4YYA

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:e21ec59d29e19fc0
Difference Hash:c7a505110529878b
Wavelet Hash:01008081e1ffffff
Color Hash:#931f5d

Other Hashes

Crop Resistant:2d2d2d0f2e2e2e2e,aec0e9a989a8c082,c7a505110529878b

Scan History

Scan history not available

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