Security Scan Report: s-static.internalfb.com

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Submitted: Dec 28, 2025, 8:48:18 PMCompleted: Dec 28, 2025, 8:49:34 PMpubliccompleted
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Summary

This website contacted 2 IPs in 0 countries across 2 domains to perform 3 HTTP transactions. The main domain is s-static.internalfb.com and was registered NaN years ago.

Submitted URL: https://s-static.internalfb.com

The Cisco Umbrella rank of the primary domain is #164,994 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate error page; no security concerns detected.

Safety Factors
Well‑established domain with minimal risk level
No credential or payment collection
No external links or redirects
Domain age information unavailable

Details

Page Title

Error

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(40%)

Domain Information

Within the commercial generic top-level domain (.com), 's-static.internalfb.com' is registered with subdomain 's-static'. The registrable portion 'internalfb' spans 10 characters containing three vowels alongside 7 consonants. Breaking it apart gives 2 words: internal, fb. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://s-static.internalfb.com

Page Load Overview

4.51s
Total Load Time
3
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:116 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical40% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
40%
documentation technical
39%
news media journalism
35%
adult content
31%
government public service
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2157.240.0.11UnknownUnknown
1157.240.0.13UnknownUnknown
02--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17731742E6654202DA93334B4FE77631AE2A54D0763070DE03C4D1871EFD5934CEAA2AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hZk1Pm0jyj1spszZivaO01Gr4nBQB6FAicr09wmTyLeRR5hUg5MLD23j:LSe0Oosi6vUuAwgeAgOmT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1505:ABAAAEAAABAAQAAAQAAAAQAgBAAAAABAEEAlQAAgAAACAAAAQUAAAAAAgAAQAABACAAAAQAEAABgIACAAAAAAIAAAIAAAAAA

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:c78fffffffffffff
Perceptual Hash:b83838383363e7c7
Difference Hash:3830000000000000
Wavelet Hash:07030f0f0f0f0f0f
Color Hash:#e0da6c

Other Hashes

Crop Resistant:3830000000000000

Scan History

Scan history not available

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