Security Scan Report: static-amount-404464.framer.app

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Submitted: Dec 9, 2025, 5:37:27 PMCompleted: Dec 9, 2025, 5:37:50 PMpubliccompleted
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Summary

This website contacted 42 IPs in 1 country across 5 domains to perform 23 HTTP transactions. The main domain is static-amount-404464.framer.app.

Submitted URL: https://static-amount-404464.framer.app/

AI Security Verdict

Unknown

Confidence: 95%

10
Risk Score

Confirmed phishing site impersonating AT&T Mail to harvest credentials.

Risk Factors
Disguised password field (credential harvesting)
Unicode evasion technique
Brand impersonation on a newly registered, unranked domain
Google Safe Browsing social engineering detection
Absence of domain age information (likely very new)
Safety Factors
No malicious Indicators of Compromise matches found
No external domains linked
No redirects detected
Domain age information unavailable

Details

Page Title

My Framer Site

Scan Type

public

Language

🇺🇸

English

(56% confidence)

Category

technology software

(36%)

Domain Information

Within the application-focused generic top-level domain (.app), 'static-amount-404464.framer.app' is registered and includes subdomain 'static-amount-404464'. The core label 'framer' covers 6 characters holding 2 vowels versus 4 consonants. Word splitting yields one word: framer. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://static-amount-404464.framer.app/

Page Load Overview

8.71s
Total Load Time
23
HTTP Requests
5
Domains
75 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:56%
Script Type:Latin
Text Length:120 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software36% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
36%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2365.9.175.99United States
AS16509AMAZON-02
065.9.175.34United States
AS16509AMAZON-02
065.8.131.117United States
AS16509AMAZON-02
065.9.175.35United States
AS16509AMAZON-02
065.8.131.45United States
AS16509AMAZON-02
065.9.175.3United States
AS16509AMAZON-02
052.223.52.2United States
AS16509AMAZON-02
013.226.244.93United States
AS16509AMAZON-02
013.226.244.72United States
AS16509AMAZON-02
065.8.131.73United States
AS16509AMAZON-02
2342--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T141830097615DF064ACD7293EEB5DE52C9D252140FF72C3CBA29E821F41C9AF42252B2C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:DX9zVJVMaj5eHCe++VOeCkVWeSVLaN9VBauaTVhVk9VCwrxOQBG8k:bJuG8k

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86555:DRaQCEb1EISdoBAgFAGsVKRMI4EoBGRlAeiUEISEmU4gC55BKIhRyS0CY7BMMLSAogCCWnrjSc4sCJCV6ikwN4AhQCgSGKhI

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:ffe7e7e7e7fffffe
Perceptual Hash:f722dc887722dd88
Difference Hash:000c084d0c000800
Wavelet Hash:3f27272723333332
Color Hash:#ac5397

Other Hashes

Crop Resistant:000c084d0c000800

Scan History

Scan history not available

Unable to load historical scan data