Security Scan Report: numerical-subtasks-962276.framer.app

Submitted: Nov 14, 2025, 10:09:30 AMCompleted: Nov 14, 2025, 10:10:08 AMpubliccompleted
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Summary

This website contacted 42 IPs in 0 countries across 5 domains to perform 25 HTTP transactions. The main domain is numerical-subtasks-962276.framer.app and was registered NaN years ago.

Submitted URL: https://numerical-subtasks-962276.framer.app/

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

High risk phishing site due to credential‑stealing login form

Risk Factors
Credential harvesting form on a non‑branded site
Unranked domain increases suspicion
Domain age information unavailable

Details

Page Title

My Framer Site

Scan Type

public

Language

🇺🇸

English

(55% confidence)

Category

technology software

(39%)

Domain Information

The domain 'numerical-subtasks-962276.framer.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'numerical-subtasks-962276'. The core label 'framer' covers 6 characters with two vowels and 4 consonants. Breaking it apart gives 1 word: framer. The median word length lands at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://numerical-subtasks-962276.framer.app/

Page Load Overview

8.19s
Total Load Time
25
HTTP Requests
5
Domains
103 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:55%
Script Type:Latin
Text Length:140 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software39% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
39%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2565.9.175.120UnknownUnknown
013.226.244.13UnknownUnknown
065.9.175.35UnknownUnknown
065.9.175.3UnknownUnknown
065.9.175.129UnknownUnknown
035.71.142.77UnknownUnknown
065.9.175.34UnknownUnknown
065.8.131.45UnknownUnknown
013.226.244.91UnknownUnknown
065.8.131.116UnknownUnknown
2542--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A3930093615DF064ACD7297EEB5DE5285D252140FF32C3CBA2AE821F45CDAF4225272C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:xzVJVMaj5eHCe++VOeCkVWeSVLaN9VBaGaTVhVk9VCwRLjqREBG8T:zJbRAG8T

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:89318:CCAYsEJlRJFmB/CjSuAd2AB1GQFxgoGbSWAARLRQiYMkCAgqAiSwgBLB8YIESwEFgJhFgjxsgMFgMWAB3okDTCrgV0TwK7hI

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:7e7e3e3efefefefe
Perceptual Hash:8100fefc0001ffff
Difference Hash:8080c0d000000000
Wavelet Hash:7232323272f2f2f2
Color Hash:#84931f

Other Hashes

Crop Resistant:8080c0d000000000

Scan History

Scan history not available

Unable to load historical scan data