Security Scan Report: oalib.com

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Submitted: Jan 13, 2026, 3:12:00 AMCompleted: Jan 13, 2026, 3:13:39 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is oalib.com and was registered NaN years ago.

Submitted URL: https://oalib.com

The Cisco Umbrella rank of the primary domain is #756,924 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain registration date (2008‑08‑16)
Standard hosting with no suspicious redirects
No phishing or malware indicators detected
Domain age information unavailable

Details

Page Title

Open Access Library (OALib)

Scan Type

public

Language

🇺🇸

English

(55% confidence)

Category

social media network

(94%)

Domain Information

Domain 'oalib.com' uses the commercial generic top-level domain (.com) without a subdomain. Its registrable label 'oalib' stretches across 5 characters containing three vowels alongside two consonants. Word splitting yields three words: o, a, lib. Median word length comes out to one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://oalib.com

Page Load Overview

11.50s
Total Load Time
25
HTTP Requests
8
Domains
297 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:55%
Script Type:Latin
Text Length:730 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network94% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
94%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13142.251.141.104United States
AS15169GOOGLE
12216.108.231.103United States
AS26277SERVERPOINT
252--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13C52C619868FCC57022021A4D91EEB5D54033B27AF08CDE6E6F21B7AF5087C748D16BE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:YL8DTnxwiJrXDnyPBXW3tdwYUaMG65H2cPy6ff:YL8DTiiJrXDnCff

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14086:F4qQBjAIhzxjiBkDKADHC4kKCokugZNPkJAAgQVQGRSKQ5rYVEQAAMC8jJCEA06gYYKSUEHCCCcwIVtiEAz51zAzhhAErocR

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:00e7efe7e7ffffff
Perceptual Hash:f7714c5a33594c4a
Difference Hash:920c060c0c00000c
Wavelet Hash:00c2c2e6c6fefec2
Color Hash:#acbf40

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data