Security Scan Report: syz.bot

Redirected to:
https://syzkaller.appspot.com/upstream
Site favicon
Submitted: Dec 27, 2025, 4:28:03 PMCompleted: Dec 27, 2025, 4:29:45 PMpubliccompleted
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Summary

This website contacted 0 IPs in 1 country across 1 domain to perform 20 HTTP transactions. The main domain is syzkaller.appspot.com and was registered NaN years ago.

Submitted URL: http://syz.bot/

Effective URL: https://syzkaller.appspot.com/upstreamRedirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well-established domain
No malicious Indicators of Compromise
No forms or credential collection
Domain age information unavailable

Details

Page Title

syz.bot

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

healthcare medical

(75%)

Domain Information

You're looking at domain 'syz.bot' on the .bot top-level domain with no subdomain. Its registrable label 'syz' stretches across 3 characters with zero vowels and 3 consonants. It segments into two words: s, yz. Median word length is 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://syz.bot/

Page Load Overview

45.13s
Total Load Time
16
HTTP Requests
5
Domains
408 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:63,850 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical75% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
75%
cryptocurrency blockchain
74%
technology software
71%
documentation technical
70%
adult content
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T123048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:wfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszw2bMy8Olda:7hoC9JSqzzbs6o3Sj3gcrsM2eAE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184432:Y7k+jAFACYZgGEGxUYDQQBZQlAfkF0HAYC6AFaBIDCAVJ0wmGd2jx5pkAtgAmBCaHDAIFyLYJEYyfQYBgBIKyTCCcgGgoQFt

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:ffcfc7cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00181c1800000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#2d864d

Other Hashes

Crop Resistant:00181c1800000000

Scan History

Scan history not available

Unable to load historical scan data