Security Scan Report: bethematchdonorservices.na1.adobesign.com

Redirected to:
https://auth.services.adobe.com/en_US/deeplink.html?deeplink=ssofirst&...
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Submitted: May 23, 2026, 11:50:50 PMCompleted: May 23, 2026, 11:52:27 PMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 12 domains to perform 57 HTTP transactions. The main domain is auth.services.adobe.com and was registered NaN years ago.

Submitted URL: https://bethematchdonorservices.na1.adobesign.com

Effective URL: https://auth.services.adobe.com/en_US/deeplink.html?deeplink=ssofirst&callback=https%3A%2F%2Fims-na1.adobelogin.com%2Fims%2Fadobeid%2FEchoSign2%2FAdobeID%2Fcode%3Fredirect_uri%3Dhttps%253A%252F%252Fgps.echosign.com%252Fpublic%252FadobeIDLogin%253Fserver%253Dbethematchdonorservices.na1.adobesign.com%2526isAdobeSignAuth%253Dfalse%2526locale%253Den_US%2526port%253D443%26state%3D8408e32847545070ec668c3ebb0aff661cf11665bf1e8ca9d9512a571b552b07%26code_challenge_method%3Dplain%26use_ms_for_expiry%3Dtrue&client_id=EchoSign2&scope=openid%2CAdobeID%2CDCAPI%2Cadditional_info.account_type%2Cskybox%2Cupdate_profile.first_name%2Cupdate_profile.last_name%2Cagreement_send%2Cagreement_sign%2Csign_library_write%2Csign_user_read%2Csign_user_write%2Cagreement_read%2Cagreement_write%2Cwidget_read%2Cwidget_write%2Cworkflow_read%2Cworkflow_write%2Csign_addressbook_read%2Csign_library_read%2Cadditional_info.projectedProductContext%2Csign_webhook_read%2Csign_webhook_write%2Csign_webhook_retention%2Csao.ACOM_ESIGN_TRIAL%2Cee.GROUP_SIGN_WEB%2Cadditional_info.ownerOrg%2Cadditional_info.roles%2Caps.read.app_merchandising%2Csign_application_read%2Csign_application_write&state=8408e32847545070ec668c3ebb0aff661cf11665bf1e8ca9d9512a571b552b07&relay=32659146-9cd2-4c9e-9e46-42927886885f&locale=en_US&flow_type=code&dctx_id=v%3A2%2Cs%2Cbg%3AacrobatSignLogin%2C95976a40-f09f-11f0-b3dc-6b6dd3806148&idp_flow_type=login&ab_test=mfa-enroll-C%2Cmfa-promo-C%7Cmfa-enroll-C%2Cmfa-promo-C%7Cmfa-enroll-C%2Cmfa-promo-C%7Cmfa-enroll-C%2Cmfa-promo-C%7Cmfa-enroll-C%2Cmfa-promo-C%7Cmfa-enroll-C%2Cmfa-promo-C%7Cmfa-enroll-C%2Cmfa-promo-C%7Cmfa-enroll-ref%2Cmfa-promo-ref&s_p=google%2Cfacebook%2Capple%2Cmicrosoft%2Cline%2Ckakao&response_type=code&code_challenge_method=plain&redirect_uri=https%3A%2F%2Fgps.echosign.com%2Fpublic%2FadobeIDLogin%3Fserver%3Dbethematchdonorservices.na1.adobesign.com%26isAdobeSignAuth%3Dfalse%26locale%3Den_US%26port%3D443&use_ms_for_expiry=true#/Redirected

The Cisco Umbrella rank of the primary domain is #12,607 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

4
Risk Score

The site appears legitimate (Adobe SSO) but hidden password field and heavy JS obfuscation raise moderate concerns.

Risk Factors
Hidden password field
High JavaScript obfuscation score
Six redirects observed
Safety Factors
Domain age > 30 years
Brand (Adobe) matches domain
Cisco Umbrella ranking within top 100 K
No Indicators of Compromise detected
Legitimate SSO flow to Adobe authentication service
Domain age information unavailable

Details

Page Title

Sign in

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(80%)

Domain Information

The domain name 'bethematchdonorservices.na1.adobesign.com' uses the commercial generic top-level domain (.com), featuring subdomain 'bethematchdonorservices.na1'. The core label 'adobesign' covers 9 characters containing 4 vowels alongside five consonants. Tokenizing the label suggests 2 words: adobe, sign. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bethematchdonorservices.na1.adobesign.com

Page Load Overview

28.06s
Total Load Time
62
HTTP Requests
14
Domains
708 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:7,322 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software80% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
80%
documentation technical
47%
government public service
46%
news media journalism
41%
social media network
32%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
752.45.87.101Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
523.48.23.33Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
53.236.206.95Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
5162.159.140.165United States
AS13335Cloudflare, Inc.
5184.24.77.29Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
563.140.62.210United States
AS16509Amazon.com, Inc.
5184.24.77.154Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5104.16.80.73United States
AS13335Cloudflare, Inc.
5104.18.32.77United States
AS13335Cloudflare, Inc.
5184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6212--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16EF33DE6F4704C652A371C6CD5DA5A29901896CB998C47D7B24FCDF87BC0AE6CF0160B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:c2jcyhYuJHS0Cx6ncV98MEAh4i3Z3H4Qow+ospCm6yM5xIVBDh6QO:ijTOw+d1/O

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:168203:SADEwFB+BhOAEUUF7y4B0gCAMSgQAYDWKUWIIyMARQCkMWWaigge0wJn1gGoGEyDBaYQAIBEOrAIyIGBpAYkACLIClJwAKwF

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:000c0c0c0c0c0cdf
Perceptual Hash:925b6c01ed68ed6c
Difference Hash:49585858d8d89ca5
Wavelet Hash:e0ccccec2c0e0cff
Color Hash:#e06cb7

Scan History

Scan history not available

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