Security Scan Report: www.rcfl.gov

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Submitted: Dec 9, 2025, 2:07:50 AMCompleted: Dec 9, 2025, 2:08:48 AMpubliccompleted
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Summary

This website contacted 24 IPs in 2 countries across 5 domains to perform 58 HTTP transactions. The main domain is rcfl.gov and was registered NaN years ago.

Submitted URL: https://www.rcfl.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate and poses no security risk.

Safety Factors
Long‑standing, well‑established domain
Government TLD (.gov) indicates official ownership
Content references FBI digital forensic laboratory, consistent with public agency information
Domain age information unavailable

Details

Page Title

Regional Computer Forensics Laboratory (RCFL) — RCFL

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(51%)

Domain Information

The domain name 'www.rcfl.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. The registrable portion 'rcfl' spans 4 characters containing 0 vowels alongside four consonants. Tokenizing the label suggests 2 words: r, cfl. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.rcfl.gov/

Page Load Overview

22.54s
Total Load Time
58
HTTP Requests
5
Domains
674 KB
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:3,602 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service51% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
51%
government
48%
documentation technical
33%
corporate
25%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12104.17.60.77United States
AS13335CLOUDFLARENET
2216.239.34.36United States
AS15169GOOGLE
2142.250.185.200United States
AS15169GOOGLE
23.174.46.54United States
AS16509AMAZON-02
23.174.46.115United States
AS16509AMAZON-02
2216.239.32.36United States
AS15169GOOGLE
2142.250.185.131United States
AS15169GOOGLE
2104.17.61.77United States
AS13335CLOUDFLARENET
22606:4700::6811:3c4dUnited States
AS13335CLOUDFLARENET
22600:9000:28eb:1200:5:83ea:ba80:93a1United States
AS16509AMAZON-02
5824--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17A339473A0F41827064EF2D5E960BB8A9E03EF1BC98A0FC0B1DD59951F85DE2D91322D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:xW5k6fNiYPRHBvPdc0aQT5IILy05v27KQIx/o:I4mRhndc05T5vLy05v27KQIx/o

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:52129:ICUYSBViEjgETRikSEC5AEILDtBQxEIA7ErCAQlBF0QlMkRGAwwKMCgiTx2p6kAIhoCCQa8AhEBbMAAsxiVwCKIBSIChfAAM

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:7fffffff8181ffff
Perceptual Hash:bc86c3698e962d9c
Difference Hash:e2b6262633230e2e
Wavelet Hash:00ffd3978181c7cb
Color Hash:#7753ac

Scan History

Scan history not available

Unable to load historical scan data