Security Scan Report: www.gouv.ne

Site favicon
Submitted: Dec 26, 2025, 7:45:47 PMCompleted: Dec 26, 2025, 7:46:57 PMpubliccompleted
Loading additional data...

Summary

This website contacted 4 IPs in 3 countries across 5 domains to perform 202 HTTP transactions. The main domain is gouv.ne.

Submitted URL: https://www.gouv.ne/

AI Security Verdict

Low Risk

Confidence: 85%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
No forms collecting credentials or payment information
No malicious Indicators of Compromise matches found
No external suspicious links detected
Domain age information unavailable

Details

Page Title

Portail Officiel du Gouvernement du Niger

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

education learning

(66%)

Domain Information

The domain 'www.gouv.ne' uses the .ne country-code top-level domain; it also runs on subdomain 'www'. Count 4 characters in 'gouv' split between 2 vowels and two consonants. Segmentation suggests 2 words: go, uv. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.gouv.ne/

Page Load Overview

52.78s
Total Load Time
283
HTTP Requests
12
Domains
2.4 MB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:fr-fr
Text Length:13,998 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning66% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
66%
government public service
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7341.138.63.5Niamey, Niamey, Niger
AS37385SONITEL
70142.250.186.142United States
AS15169GOOGLE
70142.250.185.238United States
AS15169GOOGLE
70157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2834--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C724C611E48D2F6B136316D6FA1067AAA57FCD74C2068581F0F7824D3ECACD4E63B1A6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:yISgW4hlOPtmEpX0ILljEbmAtyuNWXbMT5XcYXxX7TVr:yInRzvILlIbmAtyu9TtcGFNr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:214510:DAiiAgAsB4mzmBiFBrAgEQCFilKUYA6JI6EJBqBYLYaCCRggIiMleEpFAAaC0ATAAIYgAwFBdhgaJAVoSCY4JzERFQgkCkIR

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

Unable to load historical scan data