ScanMalware.com

Security Scan Report: github.com

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/a4f2f41b-7e69-4438-9516-32675e5785b1Domain and IP registration (RDAP)/api/v1/rdap/a4f2f41b-7e69-4438-9516-32675e5785b1How often this domain was scanned/api/v1/domain/stats/github.comScan history for this domain/api/v1/domain/history/github.com?limit=15
This website contacted 10 IPs in 2 countries across 5 domains to perform 353 HTTP transactions. The main domain is github.com and was registered 19 years ago.

Submitted URL: https://github.com/openssl/openssl/issues/33173

The Cisco Umbrella rank of the primary domain is #1,803 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate GitHub issue page in the openssl/openssl repo reporting a DTLS listener bug. No forms, no impersonation, no malware; the single threat-intel hit is a generic abuse-reputation tag on GitHub's own shared IP.

Safety Factors (4)
Established 19-year-old domain (github.com) ranked in the Cisco Umbrella top 10K
Developer discussion/issues content with no credential or payment collection
Self-branding matches the hosting domain — no impersonation of any third party
No IoC content-malware matches, no YARA hits, no IDS alerts, no suspicious JS
Domain age information unavailable

Details

Page Title

DTLS listener: a connection's receive queue has no limit (release blocker for 4.1.0) · Issue #33173 · openssl/openssl

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'github.com' is registered while skipping any subdomain. The second-level label 'github' is 6 characters long split between two vowels and four consonants. Segmentation suggests 3 words: g, it, hub. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://github.com/openssl/openssl/issues/33173

Page Load Overview

39.65s
Total Load Time
4.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:9,871 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software80% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
80%
forum community discussion
51%
documentation technical
50%
forum
40%

Detected Features

Comments
OG: object
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
38140.82.121.3Frankfurt am Main, Hesse, Germany
AS36459GitHub, Inc.
35185.199.111.215Fastly · CDNUnited States
AS54113Fastly, Inc.
35185.199.109.133Fastly · CDNUnited States
AS54113Fastly, Inc.
35140.82.114.22United States
AS36459GitHub, Inc.
35140.82.121.6Frankfurt am Main, Hesse, Germany
AS36459GitHub, Inc.
35185.199.110.215Fastly · CDNUnited States
AS54113Fastly, Inc.
35185.199.109.215Fastly · CDNUnited States
AS54113Fastly, Inc.
35185.199.108.215Fastly · CDNUnited States
AS54113Fastly, Inc.
35185.199.110.133Fastly · CDNUnited States
AS54113Fastly, Inc.
35185.199.111.133Fastly · CDNUnited States
AS54113Fastly, Inc.
35310--

Detected Technologies7

OpenSearch
100%
Open-Graph-Protocolvobject
100%
Amazon Web Services
50%
HSTS
40%
GitHub Pages
40%
Amazon S3
40%
React
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A764D9B2B070D63E074B17C7F9B16A94D3E3925EC641ECE5C43FC5A4A482CD9E69306A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:MiEIaZwMhbpAk0/2db+J/BghCv0Rtw/sN2HPPUTKPqho/MpvYqYLHZUqRj7n/5A9:pEJZwMhbpAj/2db+J/BghCv0Rtw/sN2A

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:323913:AAYIqSFSQQABgBDbEDi1ABgIKLKmpUp6KAI4DASIOrGUIDwDAFkXIywmAwPQQKmoZwQBgQsQDICMEFBApLIAIQMhdiFgWgGz

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:00ffffffffffdfff
Perceptual Hash:bc431a62646d4f3e
Difference Hash:c73870222e3a3e36
Wavelet Hash:00859fc3879f878f
Color Hash:#865c2d

Other Hashes

Crop Resistant:c73870222e3a3e36,0183034747038101

Scan History

Scan history not available

Unable to load historical scan data