Security Scan Report: mailer-kjermjs.net

Submitted: Apr 6, 2026, 9:10:35 AMCompleted: Apr 6, 2026, 9:11:43 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is mailer-kjermjs.net and was registered NaN years ago.

Submitted URL: https://mailer-kjermjs.net/w/

AI Security Verdict

Confirmed Scam

Confidence: 92%

10
Risk Score

New domain with fake WordPress login form; likely credential phishing.

Risk Factors
New domain (<7 days) hosting a login form
Password field without accompanying username field
Brand impersonation of WordPress.com
Credential harvesting pattern
Domain age information unavailable

Details

Page Title

mailer-kjermjs.net

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(56%)

Domain Information

Within the network infrastructure generic top-level domain (.net), 'mailer-kjermjs.net' is registered while skipping any subdomain. The second-level label 'mailer-kjermjs' is 14 characters long with 4 vowels and nine consonants, notching 1 hyphen. Breaking it apart gives four words: mailer, kj, erm, js. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mailer-kjermjs.net/w/

Page Load Overview

1.61s
Total Load Time
16
HTTP Requests
8
Domains
672 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:618 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software56% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
56%
e-commerce shopping
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16129.121.77.241Ashburn, Virginia, United States
AS31898Oracle Corporation
161--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18A048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:TfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszw2bMy8Oldw:shoC9JSqzzbs6o3Sj3gcrs82eA2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184487:TERQhzqDIIQMBoIUAgEkMJpUBARBQAS0wSDQCJvxiFC8RigfSABn1dAEABQZBi+KZDwKEYhHopCooA59BkFInVCEKQwqSGAU

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:ffcfc3c7ffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#799dd2

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data