Security Scan Report: uqdsimlt.forum

Submitted: Dec 19, 2025, 6:30:58 AMCompleted: Dec 19, 2025, 6:31:01 AMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is uqdsimlt.forum.

Submitted URL: http://uqdsimlt.forum/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Privacy error

Scan Type

public

Domain Information

You're looking at domain 'uqdsimlt.forum' on the .forum top-level domain while skipping any subdomain. Its registrable label 'uqdsimlt' stretches across 8 characters holding 2 vowels versus 6 consonants. It segments into 4 words: u, qd, sim, lt. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://uqdsimlt.forum/

Page Load Overview

1.09s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T148D3BF7165E50A3F181B40DB72DB39493B686083A607EDD3F6BCB8409F8B6B53452BC9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9mqWZAdOo9La2g+nfKBb7N7w9oMq5pchzJGu4lWQK3JWmgwWuR:fWWxAAgMR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:137026:IABGTGoA+qACEcJ1oFfhWAA2EEYACCgiRxJK2PQDqICvEKJgWDAgJMxIA4FkAQAEM9XpkgYBEkGBhJrUgklBRSKE+kCvArAg

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:ffcfc7c7c3f3ffff
Perceptual Hash:b0339bcc6c936764
Difference Hash:001c1c1c16060000
Wavelet Hash:33030703033f3333
Color Hash:#85d22d

Other Hashes

Crop Resistant:001c1c1c16060000

Scan History

Scan history not available

Unable to load historical scan data