Security Scan Report: afl.coccoc.com

Submitted: Jun 24, 2026, 1:10:19 PMCompleted: Jun 24, 2026, 1:12:06 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is afl.coccoc.com and was registered NaN years ago.

Submitted URL: https://afl.coccoc.com

The Cisco Umbrella rank of the primary domain is #31,096 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=24) on well-ranked domain #31,096.

Safety Factors
Well-established domain (ranked #31,096)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'afl.coccoc.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'afl'. The second-level label 'coccoc' is 6 characters long split between two vowels and four consonants. Splitting it apart reveals three words: co, cc, oc. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://afl.coccoc.com

Page Load Overview

1.05s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:11 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2123.30.175.45Vietnam
AS45899VNPT Corp
21--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14AC08CB6C021480EBB3426F8CD8378D4DF04920CC1225F44B6D0A2A4F488EA7A1876D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYesO0qa:qzxV/5VHHoB96D3ne1k9Yeb8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:c8b6a37f8e50753d4445beb1d57bcf05

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:7fffffffffffffff
Perceptual Hash:83070707070f1fff
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#81ac53

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

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