Security Scan Report: www.srnl.gov

Submitted: Oct 26, 2025, 1:42:55 PMCompleted: Oct 26, 2025, 1:44:11 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 1 domain to perform 2 HTTP transactions. The main domain is srnl.gov and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 93%

1
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official government domain (srnl.gov)
Established domain age and minimal risk category
Page returns a standard 502 error, not malicious content
Domain age information unavailable

Details

Page Title

Savannah River National Laboratory

Scan Type

public

Language

🇧🇩

BN

(100% confidence)

Category

cryptocurrency blockchain

(69%)

Domain Information

Domain 'www.srnl.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. The second-level label 'srnl' is 4 characters long with zero vowels and 4 consonants. Splitting it apart reveals 2 words: sr, nl. The median word length lands at two characters. 'sr' most often appears in Galician. You may catch it in Dutch and Swedish as well.

Screenshot

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

Page Load Overview

11.92s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:100%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:100%
Script Type:Unknown
Text Length:32,608 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain69% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
69%
healthcare medical
63%
technology software
61%
finance banking
58%
documentation technical
57%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1192.0.66.154San Francisco, California, United States
AS2635AUTOMATTIC
12a04:fa87:fffd::c000:429aIreland
AS2635AUTOMATTIC
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13A738EBBD8B6235D8AA0C35FA098BEB652E37308D3D39E1C1594334A07A5ADD0F516F4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:LwkSjDPaZkvSyE12WlMliRL4uxLC/lAId+s0UJfkl+WBrGzouBZ+p+w:MkSjOjyE1wU14Im19bJ8lV1GUuVw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:78374:KCAEFBsiCRMIADAlUZQgSCzAgdAop2bEWUWhQ0QE8BNLEGIhm0pABJGsGRGMkY9PaYCmJNChClBSCSCOdBICQABhSqIowRB4

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:1fffffffffffffff
Perceptual Hash:8f0f0f0f0f0f0f07
Difference Hash:f020000000000000
Wavelet Hash:10f0f0f0f0f0f0f0
Color Hash:#6ce096

Other Hashes

Crop Resistant:f020000000000000

Scan History

Scan history not available

Unable to load historical scan data