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Security Scan Report: 247wallst.com

Submitted: Oct 6, 2025, 5:19:32 PMCompleted: Oct 6, 2025, 5:21:27 PMpubliccompleted
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Summary

This website contacted 190 IPs in 7 countries across 47 domains to perform 423 HTTP transactions. The main domain is 247wallst.com and was registered NaN years ago.

Submitted URL: https://247wallst.com/technology-3/2025/10/01/meta-platforms-meta-price-prediction-and-forecast-2025-2030/

The Cisco Umbrella rank of the primary domain is #219,061 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Legitimate financial news article; no phishing or malware indicators detected.

Safety Factors
Long‑standing domain registration
Absence of password, payment, or personal data collection fields
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Meta Platforms (NASDAQ: META) Price Prediction and Forecast 2025-2030 for October 1 - 24/7 Wall St.

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(35%)

Domain Information

The domain name '247wallst.com' uses the commercial generic top-level domain (.com) with no subdomain. The second-level label '247wallst' is 9 characters long split between one vowel and 5 consonants; it also includes 3 digits. It segments into three words: 247, wall, st. Median word length comes out to 3 characters. The linguistic tilt is Vietnamese for '24l7'. Usage also turns up in English and Chinese (Pinyin) contexts. Net impression: Vietnamese phrase with character flair.

Screenshot

Security scan screenshot of https://247wallst.com/technology-3/2025/10/01/meta-platforms-meta-price-prediction-and-forecast-2025-2030/

Page Load Overview

41.90s
Total Load Time
423
HTTP Requests
47
Domains
31.0 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:12,684 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog35% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
35%
corporate
35%
technology software
28%
news
15%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4552.222.136.72United States
AS16509AMAZON-02
23.167.231.151United States
AS16509AMAZON-02
252.222.136.122United States
AS16509AMAZON-02
218.66.102.3United States
AS16509AMAZON-02
234.241.182.148Dublin, Leinster, Ireland
AS16509AMAZON-02
2142.250.186.106United States
AS15169GOOGLE
2151.101.9.140Brussels, Brussels Capital, Belgium
AS54113FASTLY
218.66.102.115United States
AS16509AMAZON-02
2172.66.169.55United States
AS13335CLOUDFLARENET
263.34.236.198Dublin, Leinster, Ireland
AS16509AMAZON-02
423190--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T160547D73E694293B46AF42D6D061BA9CF239C033CA478474F2FFE29C27C9D4915A3255

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:AvO/PVbS88dA/cGAyZeU4OYGf6GhvrYe7+cDxQf3njVmquHojA4p7xTlZbuqmtE9:YiNqGAyZePOY26GhvrYU+tplTlZbd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:283798:QNhxA/3AKgggCYlLE04pQQwQYNCSwwAYBC0So6MuZCIswgAIBiACQEXofiRBohRswEFoEAIgRIWypwT6icSqYBMCtYaY09Ca

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:1c81e7ff7f878387
Perceptual Hash:b6c1383fc833c366
Difference Hash:d00fcc78444c0d3c
Wavelet Hash:0000e7ffff878187
Color Hash:#783a73

Other Hashes

Crop Resistant:d00fcc78444c0d3c,8686cecec6ce4dcd,414944ccc8c84141,c0c0c7e7c6e6b4bc

Scan History

Scan history not available

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