ScanMalware.com

Security Scan Report: ng.linkedin.com

Site favicon
Submitted: Jul 27, 2026, 9:01:26 PMCompleted: Jul 27, 2026, 9:02:14 PMpubliccompleted

Summary

This website contacted 2 IPs in 2 countries across 11 domains to perform 2 HTTP transactions. The main domain is ng.linkedin.com and was registered 23 years ago.

Submitted URL: https://ng.linkedin.com

The Cisco Umbrella rank of the primary domain is #260 of the top 1 million websitesTop 1K Site

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site appears to be a legitimate LinkedIn subdomain with no credential collection, but excessive redirects and heavily obfuscated JavaScript raise moderate concerns.

Risk Factors
Six redirects including cross‑domain redirects
High JavaScript obfuscation score (base64 encoding, excessive concatenation)
Presence of login‑style forms without password fields (potentially misleading UI)
Safety Factors
Established domain age and reputation (Cisco Umbrella rank within top 10K)
Self‑branding matches domain (LinkedIn on linkedin.com subdomain)
No credential or payment collection on the page
No threat‑intel matches or malware detections
Legal pages and social media links present
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

LinkedIn Nigeria: Log In or Sign Up

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(97%)

Domain Information

You're looking at domain 'ng.linkedin.com' on the commercial generic top-level domain (.com) with subdomain 'ng'. The second-level label 'linkedin' is 8 characters long containing three vowels alongside 5 consonants. Tokenizing the label suggests 2 words: linked, in. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ng.linkedin.com

Page Load Overview

1.26s
Total Load Time
50
HTTP Requests
11
Domains
700 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:5,090 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software97% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
97%
documentation technical
45%
e-commerce shopping
44%
social media network
33%
corporate business
32%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25146.75.123.42Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
25104.18.41.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
502--

Page Statistics

50
Requests
11
Unique Domains
724.1 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D4F3A19162F42A3B055BC5F9B925FA25DDD6C11BE24EACD2F28D02522FE4C722D0F25C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:klA36CuSnUjjQdSnoI9IQtP+vaBanaTTwYHlE:jl8oWV+vCob

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:163009:REpTjTHJtAK4IBBWcBFAVZRMpVrEIUK0EBElCTiCBgKQFgjIZKSocHAAAbFGQIqCNJEiQChFHS20phpj0wnEckEgsRAjgKgo

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:fddf99d1f1ff83f1
Perceptual Hash:ecc9939664699b4a
Difference Hash:2b33333737352765
Wavelet Hash:f99989d1f1fd80a0
Color Hash:#48bf40

Other Hashes

Crop Resistant:2b33333737352765,09511483317b7668

Scan History

Scan history not available

Unable to load historical scan data