Security Scan Report: rewise.ai

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Submitted: Jan 19, 2026, 9:01:10 AMCompleted: Jan 19, 2026, 9:02:22 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 25 HTTP transactions. The main domain is rewise.ai and was registered NaN years ago.

Submitted URL: https://rewise.ai

The Cisco Umbrella rank of the primary domain is #175,938 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Well‑established domain (>7 years)
No malicious Indicators of Compromise matches
No credential or payment collection forms
Standard hosting environment
Clear, non‑phishing marketing content
Domain age information unavailable

Details

Page Title

Rewise

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(71%)

Domain Information

You're looking at domain 'rewise.ai' on the Anguillan country-code top-level domain (.ai) and has no subdomain. Count 6 characters in 'rewise' containing 3 vowels alongside three consonants. Splitting it apart reveals 2 words: re, wise. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rewise.ai

Page Load Overview

1.56s
Total Load Time
25
HTTP Requests
3
Domains
221 KB
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:2,571 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service71% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
71%
technology software
69%
documentation technical
65%
education learning
56%
forum community discussion
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
975.2.60.5United States
AS16509AMAZON-02
8142.251.141.74United States
8142.250.184.195United StatesUnknown
253--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C813D8EC7374748A86444BCDF75566E8689791DECE610284F1AC271D2BD4D8FAC3C2CA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:u0zK2PBQ/LFGQ63mOnfPyKmjZeoWPiAU4szie:u0zK2PCmmOHmIHdyie

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:44935:YYEsRWAEGQZtApwhAhpBphzYfgCQMIwGKMVhIJVDGEFADYQgAIRggLEVEx0yOhB9tCfLhIQUCkICSYrAjCaEWIQo4wQwgEwp

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:bf8b8185031fffe7
Perceptual Hash:bd4dc79292d20c6d
Difference Hash:69123339373e0c0e
Wavelet Hash:bf880001030fffff
Color Hash:#d2aa79

Other Hashes

Crop Resistant:69123339373e0c0e

Scan History

Scan history not available

Unable to load historical scan data