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Security Scan Report: flockler.com

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/67da0487-49e4-463f-b6ba-8fc5738e93beDomain and IP registration (RDAP)/api/v1/rdap/67da0487-49e4-463f-b6ba-8fc5738e93beHow often this domain was scanned/api/v1/domain/stats/flockler.comScan history for this domain/api/v1/domain/history/flockler.com?limit=15
This website contacted 38 IPs in 2 countries across 23 domains to perform 108 HTTP transactions. The main domain is flockler.com and was registered 16 years ago.

Submitted URL: https://flockler.com

The Cisco Umbrella rank of the primary domain is #48,007 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Established 16-year-old SaaS site (Flockler) marketing its social media aggregation platform under its own brand, with no impersonation, no credential/payment forms, and no threat-intel, hunting rule, or IDS hits.

Safety Factors (5)
16-year-old established domain
Legitimate SaaS product page describing social media aggregation for enterprise brands
Named case studies (Bayer 04 Leverkusen, Messe Düsseldorf) and standard analytics/CMP script hosts (Cookiebot, Google Analytics)
No credential or payment forms present
No malicious JavaScript or network behavior detected
Domain age information unavailable

Details

Page Title

Flockler | Best Social media aggregator for websites & screens

Scan Type

public

Domain Name Analysis

The domain 'flockler.com' uses the commercial generic top-level domain (.com) and has no subdomain. The second-level label 'flockler' is 8 characters long containing two vowels alongside 6 consonants. Tokenizing the label suggests two words: flock, ler. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

flockler Product v _— Solutions v Enterprise Resources v Pricing Login Collect social content. Display it anywhere. Aggregate social media and UGC and embed it across unlimited websites, intranets,...

Page Load Overview

2.42s
Total Load Time
8.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:127,833 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network40% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
40%
corporate
35%
technology software
29%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3418.198.30.175Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2104.18.161.117Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
218.64.181.181Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.251.14.97Google · CDNUnited States
AS15169Google LLC
295.100.110.20Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2104.16.186.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.140.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
223.210.117.23Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
2188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
10838--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18D07D0F16222A099418B93E625369F03AF8E0283497EDC585B0D8FDCFEDDD459DE409B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

49152:xrTqpgMFDCEnaLfJpI9o20vubloM6zQkk7vvfwvGn8VZhY8Lcaz2HjyyePjjMOAC:xh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17948350:0AIOXCoMIqkDgCNCogUDYEgQSoAGiA1oRBtAjABKYggAqIIBDkmIECXoESEACYEhkARA4sUk6SAlHKxEDEBCBgBPhEAIQqCm

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:bd3d85fcacbdf9f9
Perceptual Hash:cb16a98fd0e1b469
Difference Hash:6969551d6d6153a3
Wavelet Hash:3d3d00e4ac39b9f8
Color Hash:N/A

Other Hashes

Crop Resistant:6969551d6d6153a3,e3d3132a5b75713b,245b713903630101,6767484cd830d056,7d36a67d754d66e6,7666667279dbffff,4b4d6c7b29255303

Scan History

Scan history not available

Unable to load historical scan data