Security Scan Report: snip.ly

Redirected to: https://telsttraplusteamsau.framer.website/?utm_source=sniply&utm_campaign=sniply&utm_medium=sniply

Submitted: Oct 21, 2025, 6:02:40 PMCompleted: Oct 21, 2025, 6:03:49 PMpubliccompleted
Loading additional data...

Summary

This website contacted 34 IPs in 0 countries across 5 domains to perform 20 HTTP transactions. The main domain is telsttraplusteamsau.framer.website.

Submitted URL: https://snip.ly/lnc9eu

Effective URL: https://telsttraplusteamsau.framer.website/?utm_source=sniply&utm_campaign=sniply&utm_medium=sniplyRedirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Confirmed phishing scam targeting Telstra credentials

Risk Factors
Brand impersonation (Telstra) on an unrelated domain
Credential harvesting form (email + password)
New/unranked domain with no established reputation
Final destination domain does not match the advertised brand
Domain age information unavailable

Details

Page Title

Sign in with your Telstra ID

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

technology software

(72%)

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 3 consonants. Splitting it apart reveals 1 word: snip. The median word length lands at four characters. 'snip' most strongly signals Afrikaans. It also appears in Sinhala and English contexts.

Screenshot

Security scan screenshot of https://snip.ly/lnc9eu

Page Load Overview

45.90s
Total Load Time
20
HTTP Requests
5
Domains
129 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:334 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
72%
documentation technical
39%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
018.173.205.84UnknownUnknown
052.223.52.2UnknownUnknown
013.226.244.13UnknownUnknown
013.226.244.8UnknownUnknown
018.173.205.73UnknownUnknown
013.226.244.6UnknownUnknown
018.173.205.66UnknownUnknown
018.173.205.72UnknownUnknown
0172.66.148.43UnknownUnknown
02600:9000:2724:7400:d:ada1:a280:93a1UnknownUnknown
2034--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T137A3F093615DF0286CD76D7EEB5DE5285C252100FF72C38BA2AE861F41CDAF42252B6C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7zVJVMaj5eHCe++VOeCkVWeSVLaN9VBaKaTVhVk9VCw7APHYvswSYBG8D:llOswSUG8D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:99745:EQMAmFQxKiherYQACNCkgBM7EBJAIADwix0LIQhcUBQaKAgABLGVkQGAIXAh1IJLkANSUqoJQuIOEDCJYARV7FyIBRCgzAAm

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:ffe7efefffe7a5ff
Perceptual Hash:b3998c66cc4e668d
Difference Hash:e0484848104d4d00
Wavelet Hash:7f070808cfc700e7
Color Hash:#87c5aa

Other Hashes

Crop Resistant:e0484848104d4d00

Scan History

Scan history not available

Unable to load historical scan data