Security Scan Report: savvis.net

Redirected to:
https://www.lumen.com/en-us/home.html
Site favicon
Submitted: May 14, 2026, 1:15:39 AMCompleted: May 14, 2026, 1:16:43 AMpubliccompleted

This website contacted 11 IPs in 3 countries across 15 domains to perform 196 HTTP transactions. The main domain is lumen.com and was registered 32 years ago.

Submitted URL: https://savvis.net

Effective URL:

https://www.lumen.com/en-us/home.html
Redirected

The Cisco Umbrella rank of the primary domain is #274,378 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 72%

4
Risk Score

The site shows brand mismatch and heavily obfuscated scripts but lacks forms or malware indicators; treat as moderate risk.

Risk Factors (4)
Brand impersonation without credential/payment forms
High JavaScript obfuscation score
Low Cisco Umbrella ranking for a brand‑related domain
Multiple cross‑domain redirects
Safety Factors (5)
No credential or payment forms present
No Indicators of Compromise matched
No JavaScript YARA malware patterns detected
Domain is well‑established (over 30 years old)
Physical address listed on site
Domain age information unavailable

Details

Page Title

AI-Ready Networking & Secure Cloud Solutions | Lumen Technologies

Scan Type

public

Domain Name Analysis

Within the network infrastructure generic top-level domain (.net), 'savvis.net' is registered without a subdomain. The second-level label 'savvis' is 6 characters long containing 2 vowels alongside 4 consonants. Splitting it apart reveals two words: sav, vis. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://savvis.net

Page Load Overview

9.51s
Total Load Time
18.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:27,004 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

technology software
80%
documentation technical
76%
corporate business
76%
government public service
68%
healthcare medical
62%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2623.52.181.12Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
17104.18.86.42United States
AS13335Cloudflare, Inc.
17104.18.32.137United States
AS13335Cloudflare, Inc.
1754.228.160.243Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
1763.140.62.236United States
AS16509Amazon.com, Inc.
1718.173.205.79United States
AS16509Amazon.com, Inc.
17155.70.55.25Fremont, Ohio, United States
AS4015CenturyLink Communications, LLC
1745.154.183.34United States
AS136133SQUIXA PTY LIMITED
1723.36.162.214Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
17146.75.123.10Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
19611--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AC947021C2BA097222FF7484E175775AA55BDB3BCA8367F4F06E92980F81DC26C2715C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:DqTL+fYC+9TuYZGeWIL8dgAquyVs30Z6sytUjPO6vwf0Xb:6C+9TuYZGeWIL8dgAquyVs30Z6sytUjV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:441746:QGcOcMVKrIlAlY2Ii0MAGaEoAwGAcUxQYDMCfSCoBqFADkSJE8gEAODAgUIEKgKAGTmoHBIQUYHOHugCtFyioSgLAgYXEBkC

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:ff81ffff8181818f
Perceptual Hash:eb96996eb0c184b5
Difference Hash:693940390f23531f
Wavelet Hash:ff81fffd80818181
Color Hash:#53ac72

Scan History

Scan history not available

Unable to load historical scan data