Security Scan Report: raise.snap.app

Submitted: Mar 10, 2026, 8:02:19 PMCompleted: Mar 10, 2026, 8:03:53 PMpubliccompleted
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Summary

This website contacted 5 IPs in 1 country across 8 domains to perform 72 HTTP transactions. The main domain is raise.snap.app and was registered NaN years ago.

Submitted URL: https://raise.snap.app

The Cisco Umbrella rank of the primary domain is #148,705 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Fake Snap login page on a low‑rank subdomain; treat as credential phishing.

Risk Factors
Brand impersonation (Snap) on non‑official domain raise.snap.app
Presence of a password field indicating credential collection
Low Cisco Umbrella ranking for a site claiming to be Snap
Domain age information unavailable

Details

Page Title

Snap! Mobile • Sign in

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(85%)

Domain Information

The domain 'raise.snap.app' uses the application-focused generic top-level domain (.app) with subdomain 'raise'. The registrable portion 'snap' spans 4 characters containing 1 vowel alongside three consonants. Tokenizing the label suggests 1 word: snap. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://raise.snap.app

Page Load Overview

8.19s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:738 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software85% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
85%
documentation technical
64%
adult content
51%
government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13.160.150.47United States
0146.75.123.9United States
034.110.170.49Kansas City, Missouri, United States
AS396982Google LLC
03.208.69.13United States
034.160.81.0United States
15--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13773196E7FB4002A6C6387F2E9D0E69C721BB1C2FFB71989F54649148FC22950E5BE14

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:uxxhHBohb+qNINjzuqNNZN4H6YqqrZKgeVJGdlJQai8KFZjAUf7QQoA:uJHBot56EGzSaY5ZeVJGdwaNoZjAY73T

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80191:G8msEUwkMBFBFGISAAqQS4wGTKgiAhJAEGSAUpTKjGh4CUBmAiVYTPeASAihAEYMYpXROiAqPRsSSStYCAAigijENoAEABNg

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:f9f899f0d1f9f0f1
Perceptual Hash:ca5bc2f0b5a4b525
Difference Hash:0141616115312707
Wavelet Hash:f0f090f1d1f0f0f0
Color Hash:#2dd24e

Other Hashes

Crop Resistant:0141616115312707

Scan History

Scan history not available

Unable to load historical scan data