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Security Scan Report: tenders-9fe.pages.dev

Submitted: Nov 17, 2025, 11:47:43 AMCompleted: Nov 17, 2025, 11:48:13 AMpubliccompleted
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Summary

This website contacted 24 IPs in 2 countries across 2 domains to perform 5 HTTP transactions. The main domain is tenders-9fe.pages.dev.

Submitted URL: https://tenders-9fe.pages.dev/

AI Security Verdict

High Risk

Confidence: 88%

9
Risk Score

High‑risk phishing site collecting credentials on a newly created, unranked domain.

Risk Factors
Credential harvesting form on a brand‑impersonating page
New or unknown domain age with no reputation
Unranked domain (not in Cisco Umbrella top 1M)
Potential brand impersonation on an unusual domain
Domain age information unavailable

Details

Page Title

Min Max Development - Tendering

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(43%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'tenders-9fe.pages.dev' is registered, featuring subdomain 'tenders-9fe'. The second-level label 'pages' is 5 characters long holding two vowels versus three consonants. Word splitting yields one word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tenders-9fe.pages.dev/

Page Load Overview

3.15s
Total Load Time
5
HTTP Requests
2
Domains
43 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:107 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service43% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
43%
documentation technical
36%
technology software
30%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
0188.114.97.3United States
AS13335CLOUDFLARENET
0142.250.184.219United States
AS15169GOOGLE
0188.114.96.3United States
AS13335CLOUDFLARENET
02a00:1450:4001:830::201bFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
0142.250.186.187United States
AS15169GOOGLE
02a00:1450:4001:829::201bFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
0142.250.186.155United States
AS15169GOOGLE
0142.250.184.251United States
AS15169GOOGLE
0142.250.186.123United States
AS15169GOOGLE
0216.58.206.59United States
AS15169GOOGLE
524--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A8928540741C12786D2FAA65FEC4A72CA025B402EEE64426B10E148FE5D3FF536FAF95

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Ub0bJXQO8U5Q6nBOmEAUU/cxksc64Jysq7vCIa9RYbV:UwlMsnB7cxksc64Jysq7vCICRYp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19477:RBEIxGVGDECtQxgGIkKooCgiHWzgIgASAPiCBQEiKBN0JmFRQFAIAxoAEIIwCFy1ESRhFBnLYjgmEMjDHDgDWgUwCETAdFFB

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:ffffe7e7e7e7ffff
Perceptual Hash:b38ccc3399cc6699
Difference Hash:0000080c0c4d0000
Wavelet Hash:3f3f272724240c0c
Color Hash:#6c9ee0

Other Hashes

Crop Resistant:0000080c0c4d0000

Scan History

Scan history not available

Unable to load historical scan data