New Jersey Division of Consumer Affairs

government

suspicious phishing

malicious

English

reese84

WSS_FullScreenMode

incap_ses_706_2130617

nlbi_2130617_2147483392

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visid_incap_2130617

Domain 'www.njconsumeraffairs.gov' uses the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. Count 17 characters in 'njconsumeraffairs' split between 6 vowels and 11 consonants. Word splitting yields three words: nj, consumer, affairs. Expect 7 characters per word on average. 'consumer' is most common in English usage. Secondary signals appear in Chinese (Pinyin) and Chinese (Zhuyin).

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Welcome to the home of New Jersey Division of Consumer Affairs.

description

New Jersey Division of Consumer Affairs, DCA, NJ Division of Consumer Affairs, File a complaint, NJ Licenses, BME,

keywords

viewport

robots

HSTS header missing - vulnerable to protocol downgrade attacks

CSP header missing - vulnerable to XSS attacks

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base-uri 'none';child-src https:;form-action https://ogs.google.com https://*.corp.google.com;object-src 'none';script-src 'self' 'unsafe-inline' https:;frame-ancestors chrome://new-tab-page/

njconsumeraffairs.gov

Imperva AbuseDesk

Abuse

NetEng

Incapsula Inc

NETENG-IMPERVA

Lakshmi Naga Sri Charan Chitturi

Nicole Black

BENEDICT LOH

Caylan Womack

Lee Charles Wooderson

INCAPSULA-NET

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Requests	IP Address	Location	AS Autonomous System
14	45.60.154.149	United States	AS19551INCAPSULA
14	142.250.181.234	United States	AS15169GOOGLE
14	142.250.184.195	United States	AS15169GOOGLE
14	2a00:1450:4001:80e::2003	Frankfurt am Main, Hesse, Germany	AS15169GOOGLE
14	2a00:1450:4001:831::200a	Frankfurt am Main, Hesse, Germany	AS15169GOOGLE
70	5	-	-

Security Scan Report: www.njconsumeraffairs.gov

Summary

AI Security Verdict

Safe Website

Safety Factors

Details

Bot Protection Detected

Screenshot

Page Load Overview

Language Analysis

Primary Language

Detection Details

Website Classification

Primary Category

All Detected Categories

Detected Features

Domain & IP Information

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

ssdeep (Context Triggered Piecewise Hashing)

sdhash (Similarity Digest Hashing)

Image Hashes

Perceptual Hashes

Other Hashes

Scan History