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Security Scan Report: bit.ly

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Submitted: Feb 19, 2026, 7:14:13 PMCompleted: Feb 19, 2026, 7:15:45 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is bit.ly and was registered NaN years ago.

Submitted URL: https://bit.ly/3XyZabc

The Cisco Umbrella rank of the primary domain is #7,359 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The bit.ly link is a legitimate URL shortener but currently unreachable; no security threats detected.

Safety Factors
Well‑established domain age
High Cisco Umbrella ranking (top 10 k)
No malicious Indicators of Compromise
No credential or payment forms
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

bit.ly

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(59%)

Domain Information

Within the Libyan country-code top-level domain (.ly), 'bit.ly' is registered. The core label 'bit' covers 3 characters containing 1 vowel alongside two consonants. Splitting it apart reveals 1 word: bit. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bit.ly/3XyZabc

Page Load Overview

8.12s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:300 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism59% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
59%
documentation technical
56%
adult content
54%
government public service
54%
cryptocurrency blockchain
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
167.199.248.11United States
AS396982Google LLC
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10E048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:BfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszE2bMy8OldS:mhoC9JSqzzbs6o3Sj3gcrsQ2eAE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184442:CgRRADmWcGqQABFRlAzgGdExZSxEAEJQIUGCARGAAOAyYwABg1p+aBAGCshAQ0oQgYASKDJAApVMsgRmJMEMIAEKpCARgROA

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:ffcfc3cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1800000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#931f7c

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data