ScanMalware.com

Security Scan Report: snip.ly

Redirected to: https://tranquil-ice-235935.framer.app/?utm_source=sniply&utm_campaign=sniply&utm_medium=sniply

Submitted: Oct 31, 2025, 3:57:03 AMCompleted: Oct 31, 2025, 3:59:47 AMpubliccompleted
Loading additional data...

Summary

This website contacted 71 IPs in 1 country across 9 domains to perform 211 HTTP transactions. The main domain is tranquil-ice-235935.framer.app and was registered NaN years ago.

Submitted URL: https://snip.ly/jr0dpr

Effective URL: https://tranquil-ice-235935.framer.app/?utm_source=sniply&utm_campaign=sniply&utm_medium=sniplyRedirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Phishing page impersonating Telstra, high risk

Risk Factors
Brand impersonation on non‑official domain
Credential harvesting form
Suspicious redirect service (snip.ly) to unrelated Framer site
UNRANKED domain used for phishing
Typo in brand name suggesting malicious intent
Domain age information unavailable

Details

Page Title

Sign in with your Tesltra ID

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

technology software

(41%)

Domain Information

Within the Libyan country-code top-level domain (.ly), 'snip.ly' is registered without a subdomain. Its registrable label 'snip' stretches across 4 characters split between one vowel and three consonants. Breaking it apart gives 1 word: snip. Median word length comes out to 4 characters. 'snip' is most common in Afrikaans usage. You will also see it in Sinhala and English contexts. Overall, 'snip.ly' reads as Afrikaans with single-word simplicity.

Screenshot

Security scan screenshot of https://snip.ly/jr0dpr

Page Load Overview

1.09s
Total Load Time
211
HTTP Requests
9
Domains
203 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:256 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software41% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
41%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17765.8.131.116United States
AS16509AMAZON-02
1618.173.205.66United States
AS16509AMAZON-02
613.226.244.45United States
AS16509AMAZON-02
518.245.31.86United States
AS16509AMAZON-02
218.173.205.73United States
AS16509AMAZON-02
213.226.244.93United States
AS16509AMAZON-02
218.245.31.70United States
AS16509AMAZON-02
218.173.205.72United States
AS16509AMAZON-02
252.223.52.2United States
AS16509AMAZON-02
213.226.244.26United States
AS16509AMAZON-02
21171--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1939300936159F064ACD7287EEB5DF5285D252140FF32C3CBA2AE825F45CDAF42252B2C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ozVJVMaj5eHCe++VOeCkVWeSVLaN9VBaKaTVhVk9VCwmqpuBG8f:Sl5G8f

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:94865:9UYCgKIwSU8CQMEyHEAwCgrXJkZKhYkSyQAB0YZnCnWEMSQIgWgMEBYhQYCIQBQxRgT8EG0AAyCMBABB5bKfDIDCZTrBIBAc

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:e7e7ffe6e6fffffe
Perceptual Hash:f722999966269999
Difference Hash:8c0c180c0c000000
Wavelet Hash:66e6c6c6263e3232
Color Hash:#362d86

Other Hashes

Crop Resistant:8c0c180c0c000000

Scan History

Scan history not available

Unable to load historical scan data