Security Scan Report: m-c701.app.getfliff.com

Response type:Plain texttext/plainHTTP 503The server returned plain text, not a web page. The screenshot shows the text as a browser displays it.
Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is getfliff.com and was registered 7 years ago.

Submitted URL: https://m-c701.app.getfliff.com

The Cisco Umbrella rank of the primary domain is #126,918 of the top 1 million websites

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'm-c701.app.getfliff.com' is registered; it also runs on subdomain 'm-c701.app'. Its registrable label 'getfliff' stretches across 8 characters containing 2 vowels alongside 6 consonants. It segments into 3 words: get, fli, ff. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Bs This page isn’t working m-c701.app.getfliff.com is currently unable to handle this request, HTTP ERROR 503

Page Load Overview

0.59s
Total Load Time
180 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:205 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software58% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
58%
government public service
53%
healthcare medical
48%
documentation technical
47%
news media journalism
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13.130.213.187Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
018.216.225.59Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
12--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166048E773296063986558498F05B43099F20B143F50AC9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:N/Qho9PKBbl8Vrq9Jzbs6tlg1ySBKw4Q9gcoIsPj2bMy8OldS:uhoCl8Bqzzbs6okSCggcps72eAk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185400:wSQEgICHSiQqQLQTg4QQAiGIllmPPLDKQuIe6goAAEAIIhXApoG0HQC4GEfQEJoEDR5hgAbgJpNJQCUJHNdIVJAoZQIAIAQQ

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:ffcfc7f3ffffffff
Perceptual Hash:b1319acecc6c3333
Difference Hash:00181c0600000000
Wavelet Hash:ffdfc7f300000000
Color Hash:070000001c0

Other Hashes

Crop Resistant:00181c0600000000

Scan History

Scan history not available

Unable to load historical scan data