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Security Scan Report: u15272.ct.sendgrid.net

Redirected to: https://medsalau.s3.eu-north-1.amazonaws.com/restore.htm

Submitted: Oct 13, 2025, 1:44:02 PMCompleted: Oct 13, 2025, 1:45:20 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 2 domains to perform 3 HTTP transactions. The main domain is medsalau.s3.eu-north-1.amazonaws.com.

Submitted URL: https://u15272.ct.sendgrid.net/ls/click?upn=u001.ARMDdhcDq1K37F5ko4WOeDAlBOnNu52Ovzpq-2BFMAhWvQ2pujdad1UxexU7V354CrpoSOPXrHWDYVH7-2BESpOJGg-3D-3DzI4F_434ysW4MlKftHtyWUY9FSVjd-2BqATjKY-2BCEaCYzerkwypqJP4Qlgnzwo8QF25s-2BSPRlM6zQkkJG-2B9omO56vEt-2FU6gsxdjbn73YqTHtLLLTXW7mAL3ohCldaqUDp5xyJweenghm0PQFxKThRGMmoZCoaaHqLKdvQ-2Borwq8fPYHkXjrybJZvu8dEYwDXfjQ2eZW-2B-2FBQAw-2BSCBWQk8Ry3mHgPg-3D-3D

Effective URL: https://medsalau.s3.eu-north-1.amazonaws.com/restore.htmRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; page appears benign.

Safety Factors
Use of legitimate redirect service (sendgrid.net)
Cloud storage domain without interactive content
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

healthcare medical

(44%)

Domain Information

The domain name 'u15272.ct.sendgrid.net' uses the network infrastructure generic top-level domain (.net) and includes subdomain 'u15272.ct'. Count 8 characters in 'sendgrid' containing two vowels alongside six consonants. Splitting it apart reveals 2 words: send, grid. Median word length comes out to four characters. 'sen' most often appears in Finnish. It also appears in English and Chinese (Pinyin) contexts. Net impression: Finnish phrase.

Screenshot

Security scan screenshot of https://u15272.ct.sendgrid.net/ls/click?upn=u001.ARMDdhcDq1K37F5ko4WOeDAlBOnNu52Ovzpq-2BFMAhWvQ2pujdad1UxexU7V354CrpoSOPXrHWDYVH7-2BESpOJGg-3D-3DzI4F_434ysW4MlKftHtyWUY9FSVjd-2BqATjKY-2BCEaCYzerkwypqJP4Qlgnzwo8QF25s-2BSPRlM6zQkkJG-2B9omO56vEt-2FU6gsxdjbn73YqTHtLLLTXW7mAL3ohCldaqUDp5xyJweenghm0PQFxKThRGMmoZCoaaHqLKdvQ-2Borwq8fPYHkXjrybJZvu8dEYwDXfjQ2eZW-2B-2FBQAw-2BSCBWQk8Ry3mHgPg-3D-3D

Page Load Overview

20.78s
Total Load Time
3
HTTP Requests
2
Domains
0 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:585 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical44% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
44%
cryptocurrency blockchain
43%
documentation technical
40%
adult content
36%
technology software
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33.5.217.21Stockholm, Stockholm County, Sweden
AS16509AMAZON-02
03.5.216.152Stockholm, Stockholm County, Sweden
AS16509AMAZON-02
054.229.75.109Dublin, Leinster, Ireland
AS16509AMAZON-02
0176.34.126.149Dublin, Leinster, Ireland
AS16509AMAZON-02
063.177.157.111Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
03.79.169.2Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
36--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T112514469DAA30AB6107BC4D11AFF776231EAC037D1566119FA9C539CDFCEC40B922905

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:8iFWN15AN427zAoUczgumMANkgNKV+NSLNboqertF:8iFWN15eVpkzMOkuKVcSBtW7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3077:AEAABgIQgJYgAAAgAEBpAEAECAEQCIQICEBAEIAACYMCEAABQUhAAhgAkABEAASIAE1AEAIAAACAAAxEIAApQQAAYAGg0kBA

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:000fffffffffffff
Perceptual Hash:8909090f1f1e7e7e
Difference Hash:f8d0000000000000
Wavelet Hash:000fffff00000000
Color Hash:#2d8646

Other Hashes

Crop Resistant:f8d0000000000000

Scan History

Scan history not available

Unable to load historical scan data