Security Scan Report: www.123articleonline.com

Site favicon
Submitted: Completed: publiccompleted
This website contacted 45 IPs in 3 countries across 37 domains to perform 209 HTTP transactions. The main domain is 123articleonline.com and was registered 20 years ago.

Submitted URL: https://www.123articleonline.com/articles/1418681/forex-factory-forex-factory-market-review-2024

The Cisco Umbrella rank of the primary domain is #785,313 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 72%

4
Risk Score

The page shows a brand reference and a password field but lacks credential collection or malicious indicators; treat as moderate risk.

Risk Factors (4)
Brand name used on unrelated domain
Password field without clear login context
Low domain ranking for a brand reference
Obfuscated JavaScript (eval calls)
Safety Factors (5)
Domain age 7393 days (well‑established)
No Indicators of Compromise matched
No malicious YARA patterns detected
No payment fields or credential exfiltration observed
No cross‑origin form submissions
Domain age information unavailable

Details

Page Title

Forex Factory - Forex Factory Market Review 2024

Scan Type

public

Domain Name Analysis

Domain 'www.123articleonline.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Its registrable label '123articleonline' stretches across 16 characters holding 6 vowels versus 7 consonants, along with three digits. Tokenizing the label suggests 3 words: 123, article, online. Average segment length settles at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.123articleonline.com/articles/1418681/forex-factory-forex-factory-market-review-2024

Page Load Overview

8.28s
Total Load Time
5.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:7,570 chars
Detector Agreement:100%

Website Classification

Primary Category

forum community discussion50% confidence
Type: static
Method: ml+structural

All Detected Categories

forum community discussion
50%
healthcare medical
35%
corporate business
35%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33142.251.20.157Google · CDNUnited States
AS15169Google LLC
4142.250.154.138Google · CDNUnited States
AS15169Google LLC
4162.246.23.10United States
AS19318Interserver, Inc
4142.251.110.97Google · CDNUnited States
AS15169Google LLC
4104.17.201.65Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.20.154Google · CDNUnited States
AS15169Google LLC
4146.75.121.171Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
4142.250.154.154Google · CDNUnited States
AS15169Google LLC
4143.204.181.43Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4104.17.198.65Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
20945--

Detected Technologies2

100%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B151B553FD145F350A932A4C7EB3F68CF602691CAFD1E85234D9492CD4E06EA44D2DAC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TVb65OYIsJTsJrHkEtSUNbBFV/EAs6a0/nupW:TVb65csNsZk2SUNbr5AW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2546:GAAAQABACgAAAQAAACAACiUAAAIAAIAEACMCIAABAAAIgAEABAADBAAAACAEAAFAADhAEIBAICAAAAAAgBQAAAIAAAJAEJwa

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:c3ffffc3cb9bd7c7
Perceptual Hash:b9c5c63c311ccc79
Difference Hash:1606001a1a223c1e
Wavelet Hash:82fefe828b9b82c2
Color Hash:#5f2d86

Other Hashes

Crop Resistant:1606001a1a223c1e

Scan History

Scan history not available

Unable to load historical scan data