Danyal khan

Cybersecurity Enthusiast | Linux System Administrator | Security Hardening | Automation & Scripting

[Danyal khan @codewithdanyal]

@Ninadivall001 @cyber_razz @elormkdaniel @mcloxyventures @ireteeh @TemitopeSobulo Hey, start learning CISSP alongside this. It will really help you since it covers a bird’s-eye view of cybersecurity.

[Danyal khan @codewithdanyal]

Going through hell right know 😔

#burnout

[Danyal khan @codewithdanyal]

Currently experiencing burnout, and it feels like I've lost everything I was good at ☹️

[obscaries ❘ AppSec @obscaries]

10 hacking movies you should watch 🎯

1. Mr. Robot

[Danyal khan @codewithdanyal]

@aeronaut_hm Same here ✋

I guess it's normal

[Danyal khan @codewithdanyal]

@RFJ_USA Run this command in your terminal:
sudo getent passwd handala

Thank me later.

[Danyal khan @codewithdanyal]

@_zSecurity_ Hardware pentesting

[Julian Derry @CyberSamuraiDev]

A Deep Dive into Mobile Forensics

I recently completed a full mobile forensic analysis on an iPhone 13 Pro and it was a powerful reminder of how much a device actually remembers.

This was an advanced logical extraction with verified image integrity. Even without diving into content, the metadata alone told a story.

From location artifacts, I reconstructed where the device had been, the routes it traveled and the exact timestamps tied to those movements. But more importantly, I could see how those locations were generated.

Some coordinates were tied to ride activity such as uber and bolt. Others came from navigation searches. Some were linked to shared live locations inside messaging apps.

Each source leaves a different footprint. A searched address tells a different story than an active trip. A shared live location suggests intentional disclosure. The coordinates are only part of it, the behavior behind them is the real evidence.

The “most visited locations” view made patterns obvious. Certain coordinates appeared repeatedly, building a clear picture of routine and frequency over time.

On the communication side, interaction volume alone highlighted the primary contacts. Without even reading conversations, it was immediately clear who the highest frequency messaging relationships were. Volume builds pattern. Pattern builds context.

Call analysis went just as deep. Even when call entries were deleted, I could still determine whether interactions were audio or video, which platform they occurred on, how long they lasted, and whether they were answered, missed or rejected. Deleting a visible log doesn’t erase the underlying artifacts.

I was also able to recover delivered media, expired content, deleted messages and metadata tying everything to specific timestamps and user actions.

Here’s what stands out. Phones don’t just store content. They store behavior.
They store routine. They store intent.
Files can be deleted. Logs can be cleared. But the artifacts remain.

#digitalforensics #DFI #mobileforensics #cybersecurity

[Danyal khan @codewithdanyal]

I just published Understanding the CIA Triad: The Foundation of Cybersecurity
https://t.co/arQbqtM8rs

[Danyal khan @codewithdanyal]

I just published 𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐚𝐛𝐨𝐮𝐭 𝐂𝐈𝐒𝐒𝐏? 𝐇𝐞𝐫𝐞’𝐬 𝐰𝐡𝐚𝐭 𝐈’𝐯𝐞 𝐥𝐞𝐚𝐫𝐧𝐞𝐝 https://t.co/7P9IrELVtD

[Danyal khan @codewithdanyal]

@inspirdanalyst Software Engineering k 'S' ka pata nhi..Bs usny kehdiya aapny tweet krdi.

[Danyal khan @codewithdanyal]

@tecmint X-server

[Danyal khan @codewithdanyal]

@Bhavani_00007 cpp,js, python

[Tom Dörr @tom_doerr]

Collection of C programming projects for learning

https://t.co/JKYdjfmJQc

[Danyal khan @codewithdanyal]

@webdesignerng Business

[Danyal khan @codewithdanyal]

@sysxplore Can you share the outline?

[Danyal khan @codewithdanyal]

Humans speak to ChatGPT.
ChatGPT talks to Python.
Python commands C.
C whispers to Assembly.
Assembly nudges Binary.
Binary bends Physics.
Physics drives the universe.

Abstraction all the way down.

[Danyal khan @codewithdanyal]

@tecmint Yo

[Danyal khan @codewithdanyal]

@nalinrajput23 On premises!

[Danyal khan @codewithdanyal]

Day 23/365

– Set up an Elasticsearch cluster and connected it to Kibana. Seeing it come alive was satisfying.

– Indexed sample data via Elasticsearch API, Kibana file upload, and Bulk API. Structured indexing = faster retrieval.

– Explored Kibana dashboards, visualizations, and Dev Tools to turn logs into actionable insights.

#CyberSecurity #SOC #SIEM #Elasticsearch #Kibana #LogAnalysis #BlueTeam #InfoSec

[Danyal khan @codewithdanyal]

@sysxplore Btw