Security Scan Report: re-haifa.org

Submitted: Mar 3, 2026, 4:15:06 AMCompleted: Mar 3, 2026, 4:16:28 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is re-haifa.org and was registered NaN years ago.

Submitted URL: https://re-haifa.org/english_version/anketa_en

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

New, unranked site with a simple volunteer form; no malicious signs, low risk but monitor due to domain age.

Risk Factors
Critical new domain (registered only 4 days ago)
Unranked domain (low reputation in Cisco Umbrella)
Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise detected
No JavaScript malware or suspicious behavior observed
Form appears to be a simple volunteer questionnaire
Domain age information unavailable

Details

Page Title

Join Us — Volunteer Form | RE‑HAIFA HUB

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(36%)

Domain Information

The domain 're-haifa.org' uses the non-profit oriented generic top-level domain (.org) without a subdomain. Its registrable label 're-haifa' stretches across 8 characters holding 4 vowels versus 3 consonants, along with one hyphen. Tokenizing the label suggests two words: re, haifa. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://re-haifa.org/english_version/anketa_en

Page Load Overview

0.84s
Total Load Time
2
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:3,904 chars
Detector Agreement:67%

Website Classification

Primary Category

education learning36% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
235.157.26.135Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AF72823254F09C26D73680A81ED41A0A2D29D217838A6E54F4DCBEA85FF6C85C737B7D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:VRL5Lnos2n2aUz4MOxwPD4VSHWDTgnCeIbPtV5Vf9OO5iL14ZJh2oj1zI:VRONTn3KPD4VdDTTeIOO5i14Z/3jdI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16988:ejTiJQcClGABBEQqAQ4pbBvCQA4AgAgwBJSIQEoIEQRaMEFKwWsQETSQsZAC6KABF4GIzgCChvRIxQ0jgYBQAAgI1QIMCNg6

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:c6c6cfc7dfcfc7d7
Perceptual Hash:b0656719ce66c9c9
Difference Hash:1c9e909cb89c9cac
Wavelet Hash:c6828e838f8f8797
Color Hash:#6ce0de

Other Hashes

Crop Resistant:1c9e909cb89c9cac

Scan History

Scan history not available

Unable to load historical scan data