Security Scan Report: bit.ly

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Submitted: Oct 13, 2025, 6:19:37 AMCompleted: Oct 13, 2025, 6:20:24 AMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is bit.ly and was registered NaN years ago.

Submitted URL: https://bit.ly/46wzerm

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Warning page; do not proceed to the external link

Risk Factors
External continuation link to unverified domain (dpdgtw.qpon) presented as an optional "continue" action
Safety Factors
No credential or payment collection forms on the page
Page advises users to close the window and not proceed
Domain age information unavailable

Details

Page Title

bit.ly

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

technology software

(45%)

Domain Information

You're looking at domain 'bit.ly' on the Libyan country-code top-level domain (.ly) while skipping any subdomain. Its registrable label 'bit' stretches across 3 characters containing one vowel alongside two consonants. It segments into 1 word: bit. Expect three characters per word on average. Most frequently, 'bit' shows up in Croatian. Usage also turns up in English and Chinese (Pinyin) contexts. Overall, 'bit.ly' reads as Croatian with single-word simplicity.

Screenshot

Security scan screenshot of https://bit.ly/46wzerm

Page Load Overview

10.37s
Total Load Time
4
HTTP Requests
2
Domains
7 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:1,318 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software45% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
45%
cryptocurrency blockchain
44%
documentation technical
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
013.33.158.108New York, New York, United States
AS16509AMAZON-02
067.199.248.10United States
AS396982GOOGLE-CLOUD-PLATFORM
013.33.158.220New York, New York, United States
AS16509AMAZON-02
013.33.158.128New York, New York, United States
AS16509AMAZON-02
013.33.158.18New York, New York, United States
AS16509AMAZON-02
067.199.248.11United States
AS396982GOOGLE-CLOUD-PLATFORM
46--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19AC1741A88F20216688245A56BF737943B519017CE46CC54BE9EA748CF88F91AFF33CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:pSxi9OJBB6Pp/TVlaM/l5u9Z/xH+ur7Iq1KppTnjsstyJKHmWnEo/zj7uVQop8oC:AiUsD56ZYdq9SyJKGcaQs8oxVtAT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5939:gsQhZI4QQFwTICUAhEECUSCYTNAMBAsABQQEgQAAk4BwAgBcAeIgAAUcwAAAMACQEAIQGDIIBhCIQdgUJAgcJABKBCmDBOIQ

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:ff8989f99f8f8f83
Perceptual Hash:b9c9b696c6c16919
Difference Hash:403b3b233c3a3a2f
Wavelet Hash:bf89899997838f81
Color Hash:#59931f

Other Hashes

Crop Resistant:403b3b233c3a3a2f

Scan History

Scan history not available

Unable to load historical scan data