Security Scan Report: ffnnbb_js_loader.rukkibospa5287.workers.dev

Response type:JavaScript filetext/javascriptHTTP 200The address returns a script file. A browser shows its source code rather than running it.
Site favicon
Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is workers.dev and was registered 7 years ago.

Submitted URL: https://ffnnbb_js_loader.rukkibospa5287.workers.dev/

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Bare JavaScript loader file from a random free workers.dev subdomain. No forms, no threat-intel, no malware patterns, no exfiltration observed, but the script's purpose is unverifiable and the host is anonymous — moderate suspicion only.

Risk Factors (3)
Opaque, uninspectable JavaScript delivered as a raw file from a free hosting-platform subdomain with no surrounding context
Randomly generated subdomain name with a 'js_loader' path hint, consistent with a disposable payload-delivery endpoint
Effective subdomain creation date unknown — cannot be corroborated by domain age
Safety Factors (5)
Zero forms and zero password, payment or disguised-password fields — no credential or payment collection present
No Indicators of Compromise matched against the page or any loaded resource
No JavaScript malware patterns detected; no obfuscation, DevTools blocking or credential exfiltration behaviour observed
No third-party script hosts — all JavaScript originates from the same domain
The two Suricata alerts are ET INFO notifications about the workers.dev platform itself (DNS query and TLS SNI), not malware or phishing signatures
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Domain 'ffnnbb_js_loader.rukkibospa5287.workers.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'ffnnbb_js_loader.rukkibospa5287'. The registrable portion 'workers' spans 7 characters containing two vowels alongside 5 consonants. Word splitting yields 1 word: workers. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ffnnbb_js_loader.rukkibospa5287.workers.dev/

Page Load Overview

0.70s
Total Load Time
157 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Text Length:383,229 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical53% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
53%
technology software
37%
adult content
34%
healthcare medical
33%
news media journalism
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1104.21.62.234Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.67.140.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
22--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1248461B54E9325DD0C4367FD199F61EAD891B8C9784530C7A244F868B78432F1AAFB38

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:kk50OS/jDTuKkqT/1W7f0R+m2trdTnMOX:aOS/T30trdjMk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:383380:AUJrghAEAQBKJCJgKwkAgbRkagAkF/iILAdEIGAAL4lKUOQd9EBQNAAWoIAwncCRiMjxZIpRyieM1kADCAIIFgqAGFUOAABo

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:1f07011f07010303
Perceptual Hash:ab98f191b5d046e5
Difference Hash:df7fcff77769d747
Wavelet Hash:7f0f3d0f0f012f03
Color Hash:N/A

Other Hashes

Crop Resistant:df7fcff77769d747

Scan History

Scan history not available

Unable to load historical scan data