Security Scan: ADL

Summary

API

This view is built from:

Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/5057ff27-bbbc-4b8c-a0e1-ed067e574818 Domain and IP registration (RDAP)/api/v1/rdap/5057ff27-bbbc-4b8c-a0e1-ed067e574818 Certificate Transparency/api/v1/ct/adlnet.gov How often this domain was scanned/api/v1/domain/stats/adlnet.gov Scan history for this domain/api/v1/domain/history/adlnet.gov?limit=15

This website contacted 29 IPs in 2 countries across 6 domains to perform 64 HTTP transactions. The main domain is adlnet.gov and was registered 20 years ago.

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

AI Security Verdict

Safe Website

Confidence: 96%

Risk Score

Legitimate US government website with no security concerns.

Safety Factors (4)

Official .gov domain

Well‑established domain age

Physical address displayed

Content matches US government program (Advanced Digital Learning)

Domain age information unavailable

Details

Page Title

ADL

Scan Type

public

Favicon Hash

MMH3: 1850380996

MD5: 2929155ea31d615055ecb7c4a74d521a

Domain Name Analysis

The domain 'www.adlnet.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. The core label 'adlnet' covers 6 characters with two vowels and 4 consonants. Breaking it apart gives two words: adl, net. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Page Load Overview

2.48s

Total Load Time

3.7 MB

Total Size

Language Analysis

Primary Language

🇺🇸English

Code: en

Confidence:80%

Script:Latin

Direction:ltr

Detection Details

HTML Lang Attribute:en

Text Length:4,865 chars

Detector Agreement:100%

Website Classification

Primary Category

documentation technical88% confidence

Type: dynamic

Method: ml+structural

All Detected Categories

documentation technical

88%

government public service

86%

technology software

76%

government

48%

healthcare medical

38%

Detected Features

Domain & IP Information

Requests	IP Address	Location	AS Autonomous System
44	35.174.53.133	Ashburn, Virginia, United States	AS14618AMAZON-AES
4	216.239.34.36	United States	AS15169GOOGLE
4	216.58.206.72	United States	AS15169GOOGLE
2	142.250.184.206	United States	AS15169GOOGLE
2	3.174.46.89	United States	AS16509AMAZON-02
2	3.174.46.115	United States	AS16509AMAZON-02
2	3.174.46.56	United States	AS16509AMAZON-02
2	151.101.194.137	San Francisco, California, United States	AS54113FASTLY
2	151.101.66.137	San Francisco, California, United States	AS54113FASTLY
2	2600:9000:28eb:4200:5:83ea:ba80:93a1	United States	AS16509AMAZON-02
64	29	-	-

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18A33A621A5F110772223959177B27F16EF818017DB068A117BFC4BA9AFE3F528C176AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:jbgJm4ckQ5TockdBTI1PMvfcK9zxwJEF18WeRe29ghJ:jrNkQT9kXkSvfH1wJEFr29ghJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:51172:RwCJL2GEIYjAEQEbBCgYIIJC9aBJCgoQQgjzVAOZGkIACgAUgiAgWFwShGGBgISCYNCzTZQhFc4CElfACEsQQSNKNQhgMEEA

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:00ffffffffff0070

Perceptual Hash:c6bd463d4269936c

Difference Hash:c43432aa2b18c7e5

Wavelet Hash:0000ffffffff0000

Color Hash:#64d22d

Other Hashes

Crop Resistant:c43432aa2b18c7e5,a0f0b4c993afac81,5b5a96165b529612,c1c996cec4e4944b,6098c7e7e5c4eccc

Scan History

Scan history not available

Unable to load historical scan data

Security Scan Report: www.adlnet.gov