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Security Scan Report: slipserver1.nimc.gov.ng

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Submitted: Oct 5, 2025, 3:47:02 PMCompleted: Oct 5, 2025, 3:47:26 PMpubliccompleted
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Summary

This website contacted 23 IPs in 3 countries across 5 domains to perform 8 HTTP transactions. The main domain is slipserver1.nimc.gov.ng.

Submitted URL: https://slipserver1.nimc.gov.ng/blog/sora-app-invite-codes-get

The Cisco Umbrella rank of the primary domain is #633,197 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

The site shows moderate risk due to low ranking and brand misuse, but lacks direct malicious indicators or credential harvesting.

Risk Factors
Low ranking in Cisco Umbrella
Brand mismatch (government domain used for unrelated AI app content)
Unknown domain age
Safety Factors
No malicious Indicators of Compromise detected
No forms collecting passwords or payment information
Domain age information unavailable

Details

Page Title

Sora App Invite Codes: Get Exclusive Access Now!

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

The domain name 'slipserver1.nimc.gov.ng' uses the Nigerian country-code top-level domain (.gov.ng) and includes subdomain 'slipserver1'. Its registrable label 'nimc' stretches across 4 characters with 1 vowel and 3 consonants. It segments into 2 words: nim, c. Median word length is two characters. 'c' most often appears in Breton. You will also see it in Chinese (Zhuyin) and Polish contexts.

Screenshot

Security scan screenshot of https://slipserver1.nimc.gov.ng/blog/sora-app-invite-codes-get

Page Load Overview

4.63s
Total Load Time
8
HTTP Requests
5
Domains
337 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:7,852 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
84%
entertainment media
77%
documentation technical
74%
government public service
70%
adult content
62%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8192.243.59.12Dominica
AS39572DataWeb Global Group B.V.
0104.20.4.22United States
AS13335CLOUDFLARENET
0167.71.43.135Frankfurt am Main, Hesse, Germany
AS14061DIGITALOCEAN-ASN
0104.17.25.14United States
AS13335CLOUDFLARENET
0188.114.96.3United States
AS13335CLOUDFLARENET
0104.17.24.14United States
AS13335CLOUDFLARENET
0192.243.61.227UnknownUnknown
0192.243.59.13UnknownUnknown
0192.243.61.225UnknownUnknown
02606:4700::6811:190eUnknownUnknown
823--

Detected Technologies4

Open-Graph-Protocolvarticle
100%
Cloudflare
50%
HSTS
40%
cdnjs
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T126E20A2BD7F0113A1623C0C669B677ED6764801BE25246E4B89FD27C5FC6EA60173B8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:UzzelMq4f4z6eVBbwpaotvli+qj6vizfZE6rag401:ZgA+cqc8NU6i7rag4w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:31566:M3XSFMoAUgMsMjK7iCkiSeQxAQAMTTBiMCYGlSBghWLKYDJJQWWCXDyUI3WSARAufcAoAQAgQCeqoGAFAagOWGTkVhFSiAro

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:87c7ffcbcbc3dbdb
Perceptual Hash:b992ce3931ccc6c9
Difference Hash:2e2c029b9b1b3322
Wavelet Hash:8286ffcbcb838b82
Color Hash:#311f93

Other Hashes

Crop Resistant:2e2c029b9b1b3322

Scan History

Scan history not available

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