Security Scan Report: www.wyckoffnj.gov

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Submitted: Oct 26, 2025, 1:18:35 AMCompleted: Oct 26, 2025, 1:20:24 AMpubliccompleted
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Summary

This website contacted 18 IPs in 2 countries across 9 domains to perform 115 HTTP transactions. The main domain is wyckoffnj.gov and was registered NaN years ago.

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

AI Security Verdict

Low Risk

Confidence: 93%

2
Risk Score

Low risk; likely a legitimate government website.

Risk Factors
Circular redirect detected (potential URL manipulation indicator)
Safety Factors
Official .gov domain
Domain age of 717 days (established)
No malicious Indicators of Compromise matches found
No credential or payment collection forms
Standard municipal website content
Domain age information unavailable

Details

Page Title

wyckoffnj |

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(88%)

Domain Information

You're looking at domain 'www.wyckoffnj.gov' on the United States government-restricted top-level domain (.gov) with subdomain 'www'. Count 9 characters in 'wyckoffnj' containing one vowel alongside eight consonants. Word splitting yields 2 words: wyckoff, nj. Median word length is 4.5 characters. 'nj' is most common in Albanian usage. Secondary signals appear in Bosnian and Croatian.

Screenshot

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

Page Load Overview

57.68s
Total Load Time
115
HTTP Requests
9
Domains
2.3 MB
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:3,579 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service88% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
88%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13188.114.97.3United States
AS13335CLOUDFLARENET
6172.217.18.8United States
AS15169GOOGLE
6142.250.181.238United States
AS15169GOOGLE
6157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
6157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
6216.239.32.36United States
AS15169GOOGLE
6188.114.96.3United States
AS13335CLOUDFLARENET
6142.250.186.110United States
AS15169GOOGLE
62001:4860:4802:34::36United States
AS15169GOOGLE
62a00:1450:4001:829::200eFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
11518--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17983C72395B0103B451FD2D0B960FF1FFAA2C14BDB471D5136ACAA544FCAEA4AC9728D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:VbhwRevRosUqQJfcbOaRlpAcGj1d/0AFbHeEguOKGL78wEGR8q2e0reh00eM06ea:VbhwRevRosUqQJfcbOaRlpAceL/0AFbo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86725:CAAg1+2rQoxUwIEkpKoCjKI5YOQgIBIAxkDBYvAIDAlIBxQKwRUgQEAQyABABGCRlAKsABiA0yEBQIezV4GLqKAZTMRBBhBF

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:ff00282020ffffff
Perceptual Hash:c349bcbce7b88843
Difference Hash:33f1c8caca38bccc
Wavelet Hash:df00002020ffdfff
Color Hash:#2d4386

Scan History

Scan history not available

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