Cyber Security - الامن السيبراني
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سبـارك سكيورتي هي مصدرك الموثوق والرائد في عالم الأمن السيبراني. | Spark Security is your source of security and the leader in the world of cyber security.


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تم تصميم هذه العمليات السبعة لضمان عدم إمكانية استعادة البيانات المحذوفة باستخدام أي وسيلة تقنية متاحة حاليًا.

تُستخدم خوارزمية DOD 522.0.22-M عادةً في الحالات التي يتعين فيها حذف البيانات الحساسة بشكل نهائي، مثل البيانات التي تحتوي على معلومات شخصية أو ملكية أو سرية. كما أنها تستخدم في الحالات التي يتعين فيها بيع أو التخلص من أجهزة الكمبيوتر، حيث لا تريد الشركات أو الأفراد أن يتمكنوا من استرداد البيانات المحذوفة من هذه الأجهزة.

فيما يلي بعض الفوائد الرئيسية لاستخدام خوارزمية DOD 522.0.22-M:

فعالية عالية في حذف البيانات:
تم تصميم هذه الخوارزمية لضمان عدم إمكانية استعادة البيانات المحذوفة باستخدام أي وسيلة تقنية متاحة حاليًا.
أمان: تعتبر هذه الخوارزمية عملية آمنة وغير تدميرية لمحركات الأقراص الصلبة، حيث لا تؤدي إلى تلفها أو إلحاق الضرر بها.
سهولة الاستخدام: يمكن تنفيذ هذه الخوارزمية باستخدام العديد من الأدوات المتاحة تجاريًا أو مجانًا.
CH : @sparkSecurity
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ترتبط برمجة BIOS ارتباطًا وثيقًا بمسح البيانات في هندسة العكسية، وذلك لعدة أسباب:

ال BIOS هي المسؤولة عن إدارة محرك الأقراص الصلبة، بما في ذلك كيفية مسح البيانات منه. لذلك،
فإن فهم كيفية عمل BIOS يمكن أن يساعد الباحثين في هندسة العكسية في تحديد كيفية مسح البيانات من محرك الأقراص الصلبة.
ال BIOS تحتوي على معلومات حول كيفية تخزين البيانات على محرك الأقراص الصلبة، بما في ذلك كيفية تخصيص القطاعات. هذه المعلومات يمكن أن تكون مفيدة للباحثين في هندسة العكسية في استعادة البيانات المحذوفة من محرك الأقراص الصلبة.
ال BIOS يمكن أن تحتوي على بيانات حساسة، مثل كلمات المرور أو مفاتيح التشفير.

CH : @SparkSecurity
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نتوقف حاليـا في موضوع خوارزمية الـ DOD ونكمـل بعدين !

لان بيها هواي معلومات وشرح وتفاصيل
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افضل 30 محرك بحث يفيدك في الامن السيبراني

1. Dehashed—View leaked credentials.
2. SecurityTrails—Extensive DNS data.
3. DorkSearch—Really fast Google dorking.
4. ExploitDB—Archive of various exploits.
5. ZoomEye—Gather information about targets.
6. Pulsedive—Search for threat intelligence.
7. GrayHatWarefare—Search public S3 buckets.
8. PolySwarm—Scan files and URLs for threats.
9. Fofa—Search for various threat intelligence.
10. LeakIX—Search publicly indexed information.
11. DNSDumpster—Search for DNS records quickly.
13. FullHunt—Search and discovery attack surfaces.
14. AlienVault—Extensive threat intelligence feed.
12. ONYPHE—Collects cyber-threat intelligence data.
15. Grep App—Search across a half million git repos.
17. URL Scan—Free service to scan and analyse websites.
18. Vulners—Search vulnerabilities in a large database.
19. WayBackMachine—View content from deleted websites.
16. Shodan—Search for devices connected to the internet.
21. Netlas—Search and monitor internet connected assets.
22. CRT sh—Search for certs that have been logged by CT.
20. Wigle—Database of wireless networks, with statistics.
23. PublicWWW—Marketing and affiliate marketing research.
24. Binary Edge—Scans the internet for threat intelligence.
25. GreyNoise—Search for devices connected to the internet.
26. Hunter—Search for email addresses belonging to a website.
27. Censys—Assessing attack surface for internet connected devices.
28. IntelligenceX—Search Tor, I2P, data leaks, domains, and emails.
29. Packet Storm Security—Browse latest vulnerabilities and exploits.
30. SearchCode—Search 75 billion lines of code from 40 million projects.

لاتنسى المشاركة مع اصدقائك
CH : @SparkSecurity

#اعادة_نشر
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SDAIAPublications15.pdf
2.6 MB
معجم البيانات و الذكاء الاصطناعي
انجليزي/ عربي 😍🔥


لاتنسى المشاركة مع اصدقائك
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Forwarded from Cyber Security Contact
تم تشغيل البوت سنجيب على جميع الاسئلة شكرا على الانتظار
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الفاتحة على ارواح شهداء فلسطين .. ❤️ 🙏🏻


بِسۡمِ ٱللَّهِ ٱلرَّحۡمَٰنِ ٱلرَّحِيمِ (1)
ٱلۡحَمۡدُ لِلَّهِ رَبِّ ٱلۡعَٰلَمِينَ (2)
ٱلرَّحۡمَٰنِ ٱلرَّحِيمِ (3) مَٰلِكِ يَوۡمِ ٱلدِّينِ (4)
إِيَّاكَ نَعۡبُدُ وَإِيَّاكَ نَسۡتَعِينُ (5) ٱهۡدِنَا
ٱلصِّرَٰطَ ٱلۡمُسۡتَقِيمَ (6) صِرَٰطَ ٱلَّذِينَ أَنۡعَمۡتَ
عَلَيۡهِمۡ غَيۡرِ ٱلۡمَغۡضُوبِ عَلَيۡهِمۡ
وَلَا ٱلضَّآلِّينَ (7)


CH : @SparkSecurity
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New things coming soon

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#SparkSecurity !

" شرارة نحــــــــو المســــتقبل ! 🔥 "
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NDR 🤗

stands for Network Detection and Response. It refers to a category of cybersecurity solutions that focuses on detecting and responding to potential threats within a network. These solutions typically involve monitoring network traffic and analyzing it for signs of suspicious activity, using various techniques such as machine learning, behavioral analytics, and rule-based detection.

NDR solutions are designed to complement existing security measures, such as firewalls and intrusion detection systems (IDS), by providing deeper visibility into network traffic and identifying threats that may have evaded those security controls. They can help organizations detect and respond to advanced threats, insider threats, and unauthorized access attempts, among others.

Some key characteristics of NDR solutions include:



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CH : @SparkSecurity
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Real-time monitoring of network traffic: NDR solutions continuously monitor network traffic to identify potential threats as they arise.
Advanced analytics: NDR solutions use various analytical techniques, such as machine learning and behavioral analytics, to identify abnormalities in network traffic that may indicate a threat.
Context-rich visibility: NDR solutions provide detailed information about network activity, including the sources and destinations of traffic, the types of devices involved, and the timing of events.
Integration with threat intelligence feeds: Many NDR solutions integrate with external threat intelligence feeds to stay informed about emerging threats and improve their detection capabilities.
Automated response capabilities: Some NDR solutions offer automated response capabilities, enabling organizations to rapidly respond to detected threats and minimize the impact of potential breaches.

#cybersecurity

CH :@sparkSecurity
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What is the difference between NDR and SIEM? 🤔

IEM (Security Information and Event Management) and NDR are often used together to provide comprehensive security coverage within an organization. However, there are some key differences between the two:

Scope: SIEM solutions primarily focus on collecting, analyzing, and reporting on security events and log data from various security tools. In contrast, NDR solutions focus specifically on detecting and responding to threats within a network.


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Functionality: While both SIEM and NDR solutions can be used to detect and respond to threats, their primary objectives and methods differ. SIEM solutions rely primarily on rule-based detection and historical analysis of log data, while NDR solutions utilize advanced analytics, such as machine learning and behavioral analytics, to identify anomalies in network traffic that may indicate a threat.

#cybersecurity

CH : @sparksecurity
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Integration with security tools: NDR solutions often have built-in integrations with popular security tools, such as firewalls, intrusion detection systems (IDS), and anti-virus software. This can enable them to detect and respond to threats that may have evaded these security controls. In contrast, SIEM solutions primarily collect and analyze log data from security tools, but they do not typically have built-in integrations with these tools.

Deployment complexity: SIEM solutions are typically easier to deploy and manage due to their rule-based detection methods and focus on log data collection and analysis. In contrast, NDR solutions may require more advanced skills and expertise to deploy and manage effectively.

Performance impact: While NDR solutions may have a greater performance impact on network devices due to their real-time monitoring capabilities, they are generally more suited to detecting and responding to advanced threats that may have evaded existing security controls. SIEM solutions, on the other hand, typically have less significant performance impacts and are generally better suited for analyzing and reporting on security events.

In conclusion, NDR and SIEM solutions serve distinct purposes within an organization's overall security strategy. While NDR solutions focus on detecting and responding to threats within a network, SIEM solutions primarily focus on collecting, analyzing, and reporting on security events and log data.

#cybersecurity

CH : @sparksecurity
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