Security Scan Report: docs.fcc.gov

Submitted: Jun 8, 2026, 9:31:37 PMCompleted: Jun 8, 2026, 9:33:24 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 docs.fcc.gov and was registered NaN years ago.

Submitted URL: https://docs.fcc.gov/public/attachments/DA-26-188A1.txt

The Cisco Umbrella rank of the primary domain is #99,121 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #99,121.

Safety Factors
Well-established domain (ranked #99,121)
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

🇺🇸

English

(50% confidence)

Category

entertainment media

(68%)

Domain Information

Domain 'docs.fcc.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'docs'. Count 3 characters in 'fcc' with 0 vowels and three consonants. Word splitting yields 1 word: fcc. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://docs.fcc.gov/public/attachments/DA-26-188A1.txt

Page Load Overview

21.13s
Total Load Time
2
HTTP Requests
1
Domains
22 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:22,508 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media68% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
68%
news media journalism
50%
government
48%
government public service
44%
documentation technical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2160.1.110.17Boardman, Oregon, United States
AS8987Amazon Data Services Ireland Ltd
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

T194A20A2B978533B007DB0157E5AA36D8A739C52C736A8405289D827C3207D6E937BFDE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:76LntewqHPdNdUnKeQ+qNweMVmqLAMkI0VYDJASy6jlvbiipiXNBWnqzPhp9+whM:7MnwPdNF5oc2Dh27PrfhM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22820:EmBSLwJKMKFUilRBIBEaSBSyRaCEAACJE0ILQ4CBACoySgAkGBjQXUYWuUBcjGEAYGwQtCliBibIoMqkkChaqBSpA8cyIJAt

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:ff7f000503000101
Perceptual Hash:8ad5858cd1967a2f
Difference Hash:e0f24fed4b6b6dc9
Wavelet Hash:ff7f013f0f001705
Color Hash:#70931f

Other Hashes

Crop Resistant:e0f24fed4b6b6dc9

Scan History

Scan history not available

Unable to load historical scan data