Security Scan Report: unherd.com

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Submitted: Nov 5, 2025, 9:49:26 AMCompleted: Nov 5, 2025, 9:50:32 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is unherd.com and was registered NaN years ago.

Submitted URL: https://unherd.com/newsroom/how-maga-helped-elect-zohran-mamdani/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate; current 502 error is a server issue, not a security threat.

Safety Factors
Established domain with long registration history
No credential or payment collection fields
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

MAGA helped elect Zohran Mamdani - UnHerd

Scan Type

public

Language

🇧🇩

BN

(100% confidence)

Category

cryptocurrency blockchain

(68%)

Domain Information

Domain 'unherd.com' uses the commercial generic top-level domain (.com) with no subdomain. Count 6 characters in 'unherd' containing 2 vowels alongside 4 consonants. It segments into two words: un, herd. Median word length is three characters. The linguistic tilt is Latvian for 'un'. It also appears in Italian and Galician contexts.

Screenshot

Security scan screenshot of https://unherd.com/newsroom/how-maga-helped-elect-zohran-mamdani/

Page Load Overview

6.19s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:100%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:100%
Script Type:Unknown
Text Length:37,861 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain68% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
68%
technology software
63%
healthcare medical
62%
finance banking
61%
documentation technical
61%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2192.0.66.74San Francisco, California, United States
AS2635AUTOMATTIC
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8B42C2145D40037A43B4E5ABC68BFA9B5B2CB23CB420948F1BD1A545FF2EE9753B319

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:Pzlh91anTpIlDZ/slOZ40ty5dFC6/DqZMc:Pzlh91anTpIlDZ/slOZ40ty5dFC6/DE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:499096:EywkFBABA6pVHRILVVOSFCCgiEICuJxAIZCCiKpwkQCgFoKGMFxBJDCQSTwRFQsgAgEJICAVEAQISCwAAhKQiRhkAojmBDkC

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:00c7c3c3e7ffffff
Perceptual Hash:b5655b4b40645f71
Difference Hash:920e168696685c1c
Wavelet Hash:008383c3c3a7e7ef
Color Hash:#4c783a

Scan History

Scan history not available

Unable to load historical scan data