Loops in Python

How loops work ? What is For And While Loop and whats their syntax.

Tutorial Link : https://youtu.be/lf5j0jj_LWM


Full Course Link :  https://www.youtube.com/playlist?list=PLGV3-HemvqABU6Wjrt0nJQS8fZ1xM_f0u

https://chat.whatsapp.com/Ku5paLDQ8BlLeQo6RVn2O2


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☃️Robotics_Software_Engineer_Nanodegree - https://www.mediafire.com/file/hedptw1v3oix0na/%2540H4CKT3R_bot-Udacity_-_Robotics_Software_Engineer_Nanodegree.rar/file (4.93 GB)

☃️Digital_Marketing_Nanodegree - https://www.mediafire.com/file/sjalkf2qcjshnsq/%2540H4CKT3R_bot-Udacity_-_Digital_Marketing_Nanodegree.rar/file (4.09 GB)

☃️Intro_to_Self-Driving_Cars_Nanodegree - https://www.mediafire.com/file/2qla9nj9y8v596q/%2540H4CKT3R_bot-Udacity-_Intro_to_Self-Driving_Cars_Nanodegree.rar/file (3.35 GB)

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How to Make Telegram CC checker Bot😁

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         @ZeemiBhai

The TrickBoot functionality was documented by experts from Advanced Intelligence (AdvIntel) and Eclypsium.

“This new functionality makes use of readily available tools to check devices for well-known vulnerabilities that can allow attackers to read, write, or erase the UEFI/BIOS firmware of a device. This marks a significant step in the evolution of TrickBot as UEFI level implants are the deepest, most powerful, and stealthy form of bootkits. by adding the ability to canvas victim devices for specific UEFI/BIOS firmware vulnerabilities,

TrickBot actors are able to target specific victims with firmware-level persistence that survives re-imaging or even device bricking capability.”

Thanks to the new improvement TrickBot can carry out UEFI attacks that could be also part of hacking campaigns of nation-state actors.

@ZeemiBhai

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command1 -
♀️ *Types of web application attacks* ♀️

♀️ *Cross-Site Scripting (XSS)* – The goal of this threat could be to inject code that can be executed on the client-side browser.

♀️ *XML External Entities (XXE)* The goal of this may lead to the disclosure of confidential data, denial of service, server-side request forgery, port scanning from the perspective of the machine where the parser is located, and other system impacts.

♀️ *SQL Injection* – The goal of this threat could be to bypass login algorithms, sabotage the data, etc.

♀️ *Sensitive data exposure* – The goal of this can vary anything from passwords, session tokens, credit card data to private health data and more can be exposed

♀️ *Defacement* – The goal of this threat is to modify the page been displayed on a website and redirecting all page requests to a single page that contains the attacker’s message.

♀️ *Session Hijacking* – The goal of this attack compromises the session token by stealing or predicting a valid session token to gain unauthorized access to the Web Server.

♀️ *Session Fixation* – The goal of this attack permits an attacker to hijack a valid user session. The attack explores a limitation in the way the web application manages the session ID, more specifically the vulnerable web application

♀️ *Cross-Site Request Forgery (CSRF)* – The goal of this is forcing an end user to execute unwanted actions on a web application in which they’re currently authenticated. If the victim is an administrative account, CSRF can compromise the entire web application

♀️ *Cookie/Session Poisoning* – The goal of this threat is to modify cookies/session data by an attacker to gain unauthorized access.

♀️ *Broken Authentication* – The goal of this attack permits automated attacks such as credential stuffing, where the attacker has a list of valid usernames and passwords.

♀️ *Form Tampering* – The goal of this threat is to modify form data such as prices in e-commerce applications so that the attacker can get items at reduced prices.

♀️ *Code Injection* – The goal of this threat is to inject code such as PHP, Python, etc. that can be executed on the server. The code can install backdoors, reveal sensitive information, etc

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Blockchain_Developer_Nanodegree_Program - (2.21 GB )
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Data_Structures_and_Algorithms_Nanodegree - (2.15 GB)
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Programming_for_Data_Science_Nanodegree - (2.21 GB)
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Deep_Reinforcement_Learning_Nanodegree - (2.30 GB)
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Become_a_Professional_React_Developer_Nanodegree - (3.65 GB)
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Java_Developer_Nanodegree - (3.26 GB)
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Robotics_Software_Engineer_Nanodegree - (4.93 GB)
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Intro_to_Self-Driving_Cars_Nanodegree - (3.35 GB)
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Machine_Learning_Engineer_Nanodegree - (5.37 GB)
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⭕How to Open Download Links⭕:-👇
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✔️I Do Not Own This Content!
✔️Credits Goes To It's Owner/Creator/Provider!
✗  Posted by @Anon_Mask_Robot ✗
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