Security Scan Report: lm-stg.csod.com

Site favicon
Submitted: Jan 31, 2026, 12:43:16 PMCompleted: Jan 31, 2026, 12:44:29 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is lm-stg.csod.com and was registered NaN years ago.

Submitted URL: https://lm-stg.csod.com

The Cisco Umbrella rank of the primary domain is #13,848 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Cornerstone OnDemand login page; no security concerns detected.

Safety Factors
Well‑established domain
Official brand domain
No malicious Indicators of Compromise
No external links or redirects
Domain age information unavailable

Details

Page Title

+ Cornerstone OnDemand +

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(74%)

Domain Information

The domain name 'lm-stg.csod.com' uses the commercial generic top-level domain (.com) and includes subdomain 'lm-stg'. The second-level label 'csod' is 4 characters long split between one vowel and 3 consonants. Tokenizing the label suggests two words: c, sod. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lm-stg.csod.com

Page Load Overview

1.85s
Total Load Time
13
HTTP Requests
1
Domains
299 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:68 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping74% confidence
Type: webapp
Method: ml+structural

All Detected Categories

e-commerce shopping
74%
news media journalism
54%
government public service
41%
cryptocurrency blockchain
40%
documentation technical
40%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1323.67.128.87Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
131--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13D42D7157EF68651C0A3F9A970FBE5481839859BC202EC40FDEC49C49FF4E4A8A63B5D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:+b1875cXeeDZJAg6SIQkeioC/qFAMxcRku7i+:j7GX9DZJAg6SIQkeioC/qFAMxcRBe+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13178:IL+BBDUJiYAAEtwAyHgwKUYWMHBBDAlAANAMCGgJyAAkAxBQnKQgTkqkINABuQf5AhYWyQACC0TqCB16EhIBgSSwAdB74FKK

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:03e7efeff100201d
Perceptual Hash:e2b11f2e8d739069
Difference Hash:278c9c9a874c4931
Wavelet Hash:07e7effff100001c
Color Hash:#9487c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data