ScanMalware.com

Security Scan Report: login.otiam.opentext.com

Redirected to:
https://login.otiam.opentext.com/login.do
Site favicon
Submitted: May 24, 2026, 3:23:04 AMCompleted: May 24, 2026, 3:25:11 AMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 25 HTTP transactions. The main domain is login.otiam.opentext.com and was registered NaN years ago.

Submitted URL: https://login.otiam.opentext.com

Effective URL: https://login.otiam.opentext.com/login.doRedirected

The Cisco Umbrella rank of the primary domain is #57,881 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site appears to be a legitimate OpenText login page, but heavy JavaScript obfuscation and redirects warrant caution.

Risk Factors
High JavaScript obfuscation and use of eval() – could hide malicious logic
Multiple redirects increase suspicion
Presence of a credential‑collecting login form
Safety Factors
Very old domain (registered 1994) and reputable ranking
Subdomain of opentext.com – matches known brand
No malicious Indicators of Compromise or YARA detections
No credential exfiltration or cross‑origin form submissions detected
No network‑level IDS alerts
Domain age information unavailable

Details

Page Title

Registered Users Sign On

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'login.otiam.opentext.com' uses the commercial generic top-level domain (.com) with subdomain 'login.otiam'. The registrable portion 'opentext' spans 8 characters holding 3 vowels versus 5 consonants. Splitting it apart reveals two words: open, text. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://login.otiam.opentext.com

Page Load Overview

68.01s
Total Load Time
74
HTTP Requests
22
Domains
910 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:3,500 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1135.169.16.20Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
9104.18.87.42United States
AS13335Cloudflare, Inc.
9104.20.16.147United States
AS13335Cloudflare, Inc.
923.67.129.178Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
923.52.180.163Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
9142.251.110.95United States
AS15169Google LLC
9142.251.127.97United States
AS15169Google LLC
9162.247.243.39United States
AS54113Fastly, Inc.
748--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T170834BCAB196B87216B305FAE03B4141B23A54313449C8A4B7AEDCE52FE5DD95132F7C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:6NKusDm/lyzrxjsH8k4XREFVg42gQpsmDZnhb501PtriPn/0cs8LFpBoqALyQH+l:6QuwgMRFvk8bp/ouT0LvLMF7OfB3O/X

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:87962:AmxDCAwAcwAQuaDhSBBSuZABAiKRDApGYBEOYEwAmRCAIVXAKWiJYKoMgoQogWgAiGRgAAgigATQphIYAGLAIDJCw/kAAPYk

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#87c59e

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data