Security Scan Report: login.rackspace.com

Redirected to:
https://login.rackspace.com/login
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Submitted: Nov 26, 2025, 8:14:12 AMCompleted: Nov 26, 2025, 8:16:19 AMpubliccompleted
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Summary

This website contacted 13 IPs in 2 countries across 7 domains to perform 29 HTTP transactions. The main domain is login.rackspace.com and was registered NaN years ago.

Submitted URL: https://login.rackspace.com/

Effective URL: https://login.rackspace.com/loginRedirected

The Cisco Umbrella rank of the primary domain is #56,438 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The page appears to be the legitimate Rackspace login portal with no security concerns.

Safety Factors
Established domain with decades of registration
Official Rackspace subdomain used for authentication
No known malicious Indicators of Compromise
Brand name matches the hosting domain
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

Rackspace Login

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(82%)

Domain Information

Within the commercial generic top-level domain (.com), 'login.rackspace.com' is registered; it also runs on subdomain 'login'. The registrable portion 'rackspace' spans 9 characters with three vowels and six consonants. It segments into 2 words: rack, space. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://login.rackspace.com/

Page Load Overview

2.14s
Total Load Time
29
HTTP Requests
7
Domains
1.4 MB
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:753 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software82% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
82%
documentation technical
59%
adult content
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1345.60.123.40United States
AS19551INCAPSULA
5142.250.185.131United States
AS15169GOOGLE
4142.250.186.163United States
AS15169GOOGLE
2162.247.243.29United States
AS54113FASTLY
2142.250.186.36United States
AS15169GOOGLE
22a00:1450:4001:82a::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
22a00:1450:4001:80f::2004Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
22a00:1450:4001:828::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
2::ffff:162.247.243.29United States
AS54113FASTLY
22a00:1450:4001:812::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
2913--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T171537E58B2C074B26BA387A5F07F9241F13BA1263589C490F16DC4F22EE5CE56267F39

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:hU8aRa9hL0oTtyHp61d4IslMR0vdZ9fWCCf1dqxwiTNvIvP:heo9hFyHpM5RAZ9fWCCf1dqxwipvM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:62894:0CIKxAghg8lYsiRCRQIAKAESTiWDWhVABEiWkWlYBBIAvAeGDjAK2RQwAJKB0JGG2iAAaSAAyihFkIhBQkaTMTRFhJ4ABJDC

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:fff7f78787f1f2fe
Perceptual Hash:b4bac36a3c1dc3e0
Difference Hash:8cac8c343c838e8c
Wavelet Hash:7ee6e60646e0e076
Color Hash:#79d295

Other Hashes

Crop Resistant:8cac8c343c838e8c

Scan History

Scan history not available

Unable to load historical scan data