Security Scan Report: esait-dwp.onbmc.com

Redirected to:
https://login.microsoftonline.com/9a5cacd0-2bef-4dd7-ac5c-7ebe1f54f495...
Submitted: Apr 11, 2026, 1:40:41 PMCompleted: Apr 11, 2026, 1:41:52 PMpubliccompleted
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Summary

This website contacted 7 IPs in 4 countries across 9 domains to perform 1 HTTP transaction. The main domain is login.microsoftonline.com and was registered NaN years ago.

Submitted URL: https://esait-dwp.onbmc.com

Effective URL: https://login.microsoftonline.com/9a5cacd0-2bef-4dd7-ac5c-7ebe1f54f495/saml2?SAMLRequest=fZJPT%2BMwEMXvfIrId%2Bdfk9BYTaUu1WorARvRLgcuyLXHYMmxsx4Hlm%2B%2FSQqie1h8s%2F383sxvvELemZ5thvBs7%2BD3ABiiP52xyOaLhgzeMsdRI7O8A2RBsP3m5prlccp674ITzpBogwg%2BaGevnMWhA78H%2F6IF%2FLq7bshzCD2yJAHkOlCP6GJnj52IheuSaZt4EKBfwL9LRl9Jou1Yi7Z8cv30MO5J27jTwjt0KjhrtIXZqOal4EKmND%2BCooWUl5SLUtBLOEKmykIVdZlMTeUk%2Bu68gLnnhihuEEi02zbkscy5VPWiovVSLmmhoKK85oJClZZLkdayKrJRii1HHOv9fIw4wM5i4DY0JE%2FziqYFzbJDtmBFyooiLhflA4nad2DftJXaPn1N93gSIftxOLS0%2Fbk%2FkOgePM48RgFZX0TjWk09sbkCfza6r735x7zIGvvHifcZ%2BlVyZnkW0rPb0Wi3bZ3R4i3aGONerzzwMIIIfoCZa8fD%2F6OzOJtPtKRqlrLBYg9CKw2SJKesi1P%2Bv59y%2FRc%3D&RelayState=_52adf936-98d8-4fe6-a9ac-e6058c09d641&sso_reload=trueRedirected

The Cisco Umbrella rank of the primary domain is #49,462 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Site shows legitimate SSO redirect but critical IDS and obfuscated JS suggest malware; treat as high‑risk.

Risk Factors
Critical IDS alert indicating possible malware activity
Highly obfuscated JavaScript code
Cross‑origin credential submission to external identity provider
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the commercial generic top-level domain (.com), 'esait-dwp.onbmc.com' is registered and includes subdomain 'esait-dwp'. Its registrable label 'onbmc' stretches across 5 characters with one vowel and 4 consonants. Segmentation suggests 2 words: on, bmc. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://esait-dwp.onbmc.com

Page Load Overview

1.72s
Total Load Time
36
HTTP Requests
8
Domains
490 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:109 chars
Detector Agreement:67%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
640.126.31.71Ireland
523.207.210.132Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
513.107.246.44United States
AS8075Microsoft Corporation
5144.24.160.81Frankfurt am Main, Hesse, Germany
AS31898Oracle Corporation
540.126.31.128Dublin, Leinster, Ireland
AS8075Microsoft Corporation
540.79.141.154UnknownUnknown
520.190.160.131Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
367--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E3835BD97EA2293B878681B8F4B56E029A7A5903894CDD60F18CCCC82FFB75D8137517

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jQ8GLG23JnBXoIyEk77gx2xpTvPoMmCBnED6ailWC:E8uJBXJ32RA6WC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:81158:BRIdoMkEIgAQDIpCgAGUEKkEDCIQQpBKnlAUCGMAAGkEgEqP8AEwXN+CmAQCIB8EMXFijxEFIwomOkiZiUQQYAgVBUQDKAle

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:00001c18181c0410
Perceptual Hash:d88d27368cd9989e
Difference Hash:f3c9b0b2b0b1d8f3
Wavelet Hash:18747c783c7c6c3c
Color Hash:#c2d22d

Scan History

Scan history not available

Unable to load historical scan data