#UserAwareness

[osintelligence]

https://bit.ly/3u97qZw - 🔒 Microsoft Access's "Linked Table" feature can be exploited to perform NTLM forced authentication attacks, as discovered recently. Attackers can use this feature to leak a Windows user's NTLM tokens to a server they control. This technique can bypass firewall rules designed to block external NTLM information stealing, raising significant security concerns. #MicrosoftAccess #NTLMAttack #CyberSecurity 🔑 NTLM, an outdated authentication protocol, is vulnerable to several well-known attacks, including brute-force, pass-the-hash, and relay attacks. Simple measures like blocking outbound traffic through NTLM protocol ports can mitigate these attacks, but attackers continually find workarounds, as demonstrated by the recent exploitation of Microsoft Access. #NTLMVulnerability #CyberAttackMethods #InfoSec 💻 The attack method involves setting up a server on port 80 and sending a database file with a linked table to the victim. If the victim opens the file and interacts with the table, their client attempts to authenticate with the attacker-controlled server, leading to potential NTLM credential theft. #CyberThreat #HackingTechniques #DigitalSecurity 🛠️ Defending against this type of attack is challenging but not impossible. Check Point recommends using content-aware firewalls, disabling macros in MS-Access, or removing MS-Access altogether if not essential. Additionally, users should avoid opening attachments from unknown sources. #CyberDefense #DataProtection #CheckPoint 🚨 Despite mitigation efforts by Microsoft, such as introducing warning dialogs in Office 2021, vulnerabilities still exist in various Office/Access versions. Users encountering suspicious dialogs should refrain from interacting and shut down the relevant processes immediately. #MicrosoftOffice #AccessSecurity #UserAwareness 🔍 This technique is different from the recent Outlook zero-day attack but shares the same goal of NTLM credential stealing. While each method has its limitations, they underline the need for comprehensive cybersecurity measures against diverse attack vectors.

[novacybersecurity]

Safeguarding Your Digital World: Unraveling Authentication Vulnerabilities

In today's rapidly advancing digital era, ensuring the security of our online activities has never been more critical. As the reliance on digital platforms increases, so does the risk of falling victim to cyber threats. One of the most pressing concerns that internet users and businesses face is authentication vulnerabilities. In this article, we'll delve into the world of authentication vulnerabilities and explore measures to protect ourselves in the dynamic landscape of Web 2.0.

Understanding Authentication Vulnerabilities:

Authentication vulnerabilities refer to weaknesses in the mechanisms that verify and validate users' identities on digital platforms. These vulnerabilities expose sensitive information to unauthorized individuals, leading to potential data breaches, identity theft, and financial losses. As Web 2.0 continues to evolve with a focus on user-generated content and interactive experiences, it becomes crucial to address these vulnerabilities.

Common Authentication Vulnerabilities:

2.1. Weak Passwords: One of the most common authentication vulnerabilities arises from weak passwords. Users often choose passwords that are easy to remember but equally easy to guess. This makes it effortless for attackers to compromise accounts and gain unauthorized access.

2.2. Phishing Attacks: Phishing attacks trick users into revealing their login credentials through deceptive emails, messages, or websites that mimic legitimate platforms. As Web 2.0 encourages active engagement and social sharing, users become more susceptible to these cunning schemes.

2.3. Insecure Login Forms: Web 2.0 platforms are all about user interaction, and login forms are a common entry point for attackers. Inadequate security measures in login forms can lead to brute-force attacks and credential stuffing.

2.4. Insufficient Multi-Factor Authentication (MFA): MFA provides an additional layer of security by requiring users to provide multiple pieces of evidence to confirm their identities. Failing to implement MFA leaves accounts vulnerable to unauthorized access.

Mitigating Authentication Vulnerabilities:

3.1. Strong Password Policies: Web 2.0 platform administrators should enforce strong password policies, mandating the use of complex and unique passwords. Users must be educated about password best practices, such as avoiding common words and regularly updating their passwords.

3.2. User Awareness and Education: Raising awareness among users about phishing attacks and other social engineering tactics is crucial. Regular educational content on the platform can empower users to recognize and report suspicious activities.

3.3. Secure Coding Practices: Web 2.0 developers should prioritize secure coding practices while implementing login forms and user authentication. Input validation, data encryption, and protection against common attacks like SQL injection must be integral parts of the development process.

3.4. Multi-Factor Authentication (MFA): Implementing MFA adds an extra layer of protection, significantly reducing the risk of unauthorized access. Web 2.0 platforms should encourage users to enable MFA and make the process user-friendly.

Conclusion:

Authentication vulnerabilities pose a significant threat to the security and integrity of Web 2.0 platforms. As users actively engage in content creation and social interaction, safeguarding their digital identities becomes paramount. By understanding the common authentication vulnerabilities and adopting proactive security measures, both platform administrators and users can collaboratively create a safer digital environment. Embracing strong password practices, promoting user awareness, employing secure coding practices, and implementing MFA will fortify the foundations of Web 2.0, ensuring a more secure and enjoyable online experience for all.

[ijtsrd]

Identification of User Aware Rare Sequential Pattern in Document Stream An Overview

by Rajeshri R. Shelke "Identification of User Aware Rare Sequential Pattern in Document Stream- An Overview" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, 

URL: https://www.ijtsrd.com/papers/ijtsrd24008.pdf

Paper URL: https://www.ijtsrd.com/computer-science/data-miining/24008/identification-of-user-aware-rare-sequential-pattern-in-document-stream--an-overview/rajeshri-r-shelke

call for paper Data Miining, international journal Data Miining, ugc approved journals Data Miining

Documents created and distributed on the Internet are ever changing in various forms. Most of existing works are devoted to topic modeling and the evolution of individual topics, while sequential relations of topics in successive documents published by a specific user are ignored. In order to characterize and detect personalized and abnormal behaviours of Internet users, we propose Sequential Topic Patterns STPs and formulate the problem of mining User aware Rare Sequential Topic Patterns URSTPs in document streams on the Internet. They are rare on the whole but relatively frequent for specific users, so can be applied in many real life scenarios, such as real time monitoring on abnormal user behaviours. Here present solutions to solve this innovative mining problem through three phases pre processing to extract probabilistic topics and identify sessions for different users, generating all the STP candidates with expected support values for each user by pattern growth, and selecting URSTPs by making useraware rarity analysis on derived STPs. Experiments on both real Twitter and synthetic datasets show that our approach can indeed discover special users and interpretable URSTPs effectively and efficiently, which significantly reflect users' characteristics. 

[ijtsrd]

Efficient Way to Identify User Aware Rare Sequential Patterns in Document Streams

By Swati V. Mengje | Prof. Rajeshri R. Shelke"Efficient Way to Identify User Aware Rare Sequential Patterns in Document Streams" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-4 , June 2017, 

URL: http://www.ijtsrd.com/papers/ijtsrd101.pdf 

http://www.ijtsrd.com/engineering/computer-engineering/101/efficient-way-to-identify-user-aware-rare-sequential-patterns-in-document-streams/swati-v-mengje

best journal, call for paper papers conference, technology journal

Documents created and distributed on the Internet are ever changing in various forms. Most of existing works are devoted to topic modeling and the evolution of individual topics, while sequential relations of topics in successive documents published by a specific user are ignored. In order to characterize and detect personalized and abnormal behaviors of Internet users, we propose Sequential Topic Patterns (STPs) and formulate the problem of mining Useraware Rare Sequential Topic Patterns (URSTPs) in document streams on the Internet. They are rare on the whole but relatively frequent for specific users, so can be applied in many real-life scenarios, such as real-time monitoring on abnormal user behaviors. Here present solutions to solve this innovative mining problem through three phases: pre-processing to extract probabilistic topics and identify sessions for different users, generating all the STP candidates with (expected) support values for each user by patterngrowth, and selecting URSTPs by making user-aware rarity analysis on derived STPs. Experiments on both real (Twitter) and synthetic datasets show that our approach can indeed discover special users and interpretable URSTPs effectively and efficiently, which significantly reflect users' characteristics.