Security Scan Report: s-files.innovid.com

Submitted: Jan 26, 2026, 8:49:46 PMCompleted: Jan 26, 2026, 8:51:32 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is s-files.innovid.com and was registered NaN years ago.

Submitted URL: https://s-files.innovid.com

The Cisco Umbrella rank of the primary domain is #1,477 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Site appears legitimate with no detected threats.

Safety Factors
Established domain (>20 years old)
High Cisco Umbrella ranking (top 10K)
No malicious Indicators of Compromise
No credential or payment forms present
Standard hosting environment
Domain age information unavailable

Details

Page Title

s-files.innovid.com

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Domain 's-files.innovid.com' uses the commercial generic top-level domain (.com), featuring subdomain 's-files'. Its registrable label 'innovid' stretches across 7 characters holding three vowels versus four consonants. Splitting it apart reveals 2 words: inn, ovid. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://s-files.innovid.com

Page Load Overview

0.17s
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:10 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
223.52.181.6Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CC048E77329A063986558498E05B430D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ofQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszK2bMy8Oldk:jhoC9JSqzzbs6o3Sj3gcrsm2eAi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184486:EhAhAAgIQDKgZAryYEBCGGIScQAClg1CKihJEKsiLehJAJk0QACwsyEZImezRBDgAgJevWQE8CQiQgQQAIBkQAm0jECQoHDG

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:ffcfc3c7ffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#2dd248

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

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