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Cyber Security

Using a Passive Vulnerability Scan To Identify Website Security Risks

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A passive vulnerability scan is a type of security scan in which the scanner sends no unusual requests to the server. It is like a visitor browsing the site.

In this article, we’ll review the benefits of a passive vulnerability scan.

Pick Low-Hanging Fruits

Browsing the website is the first thing hackers and security experts do when evaluating a website’s security. It is called a passive scan. Many problems can be identified just by looking into the source code of web pages. Issues like Vulnerable WordPress Version, Application Errors and, Password Over Unencrypted Channel are some of such problems. Intercepting requests and responses between the browser and the server can also reveal many weaknesses. For example, you can detect cookie vulnerabilities just by looking into the web server’s response headers.

Less Impact

Passive scan comparing to active scan is less risky for the availability of the web application. Since no unexpected request is sent to the web server, the server should be able to handle the scan like any other visitor.

⛔ In passive scans, all URLs are visited so, if there are links that perform actions like deleting accounts or files, passive scans can still be dangerous.

Bypass Web Application Firewalls

Websites usually use WAFs to stop attacks in the production environment. Passive scans don’t trigger any alarm on WAFs most of the time. So, the scan can proceed without getting blocked by the firewall.

No Schedule Required

Active vulnerability scans usually put a lot of pressure on the web application. That’s why they should be performed at a scheduled time to reduce the risk. But passive tests can be conducted at any time, just like website visitors that can browse the site anytime.

Fast Security Scan

Browsing a website is fast, so does a passive scan. Passive scans are speedy because they send fewer requests to the web server. Also, there is less chance of getting caught by WAF that might slow down the scan.

How To Perform A Passive Scan

Use a web browser like Google Chrome, open the Developers tools (Ctrl+Shift+I), navigate through different pages of any website, and see the requests and responses in the network tab of developer tools. You should also take a look at the source code of web pages. But you should know what to look for! Below are some examples:

  1. No encryption: Look for any non-HTTPS URL.
  2. Internal Server Error: Look for 5xx HTTP error code.
  3. X-Powered-By Headers: Check for detailed information like version number in “X-Powered-By” response headers.
  4. Information Disclosure: Look for application error messages and OS file/directory paths in the web page source code.
  5. Directory Listing: Check for displaying of file/directory listing inside any web page.

An easier way is to use an automated vulnerability scanner and config it to run passive tests only.

Is Passive Scan Enough?

Definitely not! You should perform full comprehensive scans to have a thorough security test. Passive scans are excellent for a quick evaluation of the website’s security, especially when a full scan is not an option.

Previously published on https://www.thesmartscanner.com/blog/why-you-should-use-passive-vulnerability-scan-on-your-website.

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Coinsmart. Beste Bitcoin-Börse in Europa
Source: https://hackernoon.com/using-a-passive-vulnerability-scan-to-identify-website-security-risks-y85w36ek?source=rss

Big Data

Konsentus Verify supports checking of UK-RTS compliant certificates

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Konsentus Verify supports checking of UK-RTS compliant certificates

Konsentus today confirmed that its open banking third party provider (TPP) identity and regulatory checking solution, Konsentus Verify, can validate the identity of TPPs regardless of whether a UK-RTS compliant digital certificate or EEA issued eIDAS certificate is presented. 

This follows OBIE’s recent announcement that UK-regulated TPPs must complete their migration from OBIE Legacy Certificates to UK-RTS compliant certificates (OBWACs/ OBSEALs) no later than 30 June 2021 by which time they must also have revoked any active OBIE Legacy Certificates. 

From the end of June 2021, ASPSPs must reject the use of OBIE Legacy Certificates for PSD2 identification purposes ensuring they only accept certificates that are compliant with the UK-RTS. 

Konsentus Verify provides TPP identity and regulatory checking services to protect Financial Institutions from the risk of open banking fraud.  The identity checking element of the Konsentus solution is based on the validation of a TPP’s digital identity certificate.  

Konsentus Verify checks in real-time a certificate’s validity and whether it has been issued by a trusted certificate issuer. In addition, Konsentus Verify checks the Payment Services a TPP is authorised to provide by its home country National Competent Authority.

However, digital identity certificates are not usually updated over a certificate’s lifespan and do not list the roles a TPP can perform outside the TPP’s home country. Any ‘Passporting’ information must be obtained for each country the TPP wants to provide services into.

Any EEA TPP wanting to access accounts held by a UK-based ASPSP must either be on the FCA’s Temporary Permissions Regime list or registered directly with the FCA. Konsentus Verify validates in real-time the legitimacy and current authorisation status of TPPs providing payment services in the UK regardless of whether an eIDAS or UK-RTS compliant certificate is presented.

Mike Woods, CEO Konsentus commented, “With over 200 UK TPPs regulated to provide open banking services in the UK, we can offer our customers a single solution that means both UK-RTS compliant certificates and eIDAS certificates can be checked without having to introduce additional processes or delays. No matter where the transaction is taking place or where the TPP is located, we offer our customers a single solution providing identity and regulatory checking at the time of the transaction.”

Coinsmart. Beste Bitcoin-Börse in Europa
Source: https://www.fintechnews.org/konsentus-verify-supports-checking-of-uk-rts-compliant-certificates/

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Big Data

How big data impacts the finance and banking industries

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Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. These terms are fundamentally tied predominantly to matters involving digital transformation as well as growth in companies. In this modern age, each business entity is driven by data. Data analytics are now very crucial whenever there is a decision-making process involved.

Through this tool, gaining better insight has become much easier now. It doesn’t matter whether the decision being considered has huge or minimal impact; businesses have to ensure they can access the right data to move forward. Typically, this approach is essential, especially for the banking and finance sector in today’s world.

The Role of Big Data

Financial institutions such as banks have to adhere to such a practice, especially when laying the foundation for back-test trading strategies. They have to utilize Big Data to its full potential to stay in line with their specific security protocols and requirements. Banking institutions actively use the data within their reach in a bid to keep their customers happy. By doing so, these institutions can limit fraud cases and prevent any complications in the future.

Some prominent banking institutions have gone the extra mile and introduced software to analyze every document while recording any crucial information that these documents may carry. Right now, Big Data tools are continuously being incorporated in the finance and banking sector.

Through this development, numerous significant strides are being made, especially in the realm of banking. Big Data is taking a crucial role, especially in streamlining financial services everywhere in the world today. The value that Big Data brings with it is unrivaled, and, in this article, we will see how this brings forth positive results in the banking and finance world.

The Underlying Concept

A 2013 survey conducted by the IBM’s Institute of Business Value and the University of Oxford showed that 71% of the financial service firms had already adopted analytics and big data. Financial and banking industries worldwide are now exploring new and intriguing techniques through which they can smoothly incorporate big data analytics in their systems for optimal results.

Big data has numerous perks relating to the financial and banking industries. With the ever-changing nature of digital tech, information has become crucial, and these sectors are working diligently to take up and adjust to this transformation. There is significant competition in the industry, and emerging tactics and strategies must be accepted to survive the market competition. Using big data, firms can boost the quality and standards of their services.

Perks Associated with Big Data

Analytics and big data play a critical role when it comes to the financial industry. Firms are currently developing efficient strategies that can woo and retain clients. Financial and banking corporations are learning how to balance Big Data with their services to boost profits and sales. Banks have improved their current data trends and automated routine tasks. Here are a few of the advantages of Big Data in the banking and financial industry:

Improvement in risk management operations

Big Data can efficiently enhance the ways firms utilize predictive models in the risk management discipline. It improves the response timeline in the system and consequently boosts efficiency. Big Data provides financial and banking organizations with better risk coverage. Thanks to automation, the process has become more efficient.Through Big Data, groups concerned with risk management offer accurate intelligence insights linked to risk management.

Engaging the Workforce

Among the most significant perks of Big Data in banking firms is worker engagement. The working experience in the organization is considerably better. Nonetheless, companies and banks that handle financial services need to realize that Big Data must be appropriately implemented. It can come in handy when tracking, analyzing, and sharing metrics connected with employee performance. Big Data aids financial and banking service firms in identifying the top performers in the corporation.

Client Data Accessibility

Companies can find out more regarding their clients through Big Data. Excellent customer service implies outstanding employee performance. Aside from designing numerous tech solutions, data professionals will assist the firm set performance indicators in a project. It will aid in injective analytic expertise in multiple organizational areas. Whenever there is a better process, the work processes are streamlined. The banking and financial firms can leverage improved insights and knowledge of customer service and operational needs.

Coinsmart. Beste Bitcoin-Börse in Europa
Source: https://www.fintechnews.org/how-big-data-impacts-the-finance-and-banking-industries/

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Big Data

How big data impacts the finance and banking industries

Published

on

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. These terms are fundamentally tied predominantly to matters involving digital transformation as well as growth in companies. In this modern age, each business entity is driven by data. Data analytics are now very crucial whenever there is a decision-making process involved.

Through this tool, gaining better insight has become much easier now. It doesn’t matter whether the decision being considered has huge or minimal impact; businesses have to ensure they can access the right data to move forward. Typically, this approach is essential, especially for the banking and finance sector in today’s world.

The Role of Big Data

Financial institutions such as banks have to adhere to such a practice, especially when laying the foundation for back-test trading strategies. They have to utilize Big Data to its full potential to stay in line with their specific security protocols and requirements. Banking institutions actively use the data within their reach in a bid to keep their customers happy. By doing so, these institutions can limit fraud cases and prevent any complications in the future.

Some prominent banking institutions have gone the extra mile and introduced software to analyze every document while recording any crucial information that these documents may carry. Right now, Big Data tools are continuously being incorporated in the finance and banking sector.

Through this development, numerous significant strides are being made, especially in the realm of banking. Big Data is taking a crucial role, especially in streamlining financial services everywhere in the world today. The value that Big Data brings with it is unrivaled, and, in this article, we will see how this brings forth positive results in the banking and finance world.

The Underlying Concept

A 2013 survey conducted by the IBM’s Institute of Business Value and the University of Oxford showed that 71% of the financial service firms had already adopted analytics and big data. Financial and banking industries worldwide are now exploring new and intriguing techniques through which they can smoothly incorporate big data analytics in their systems for optimal results.

Big data has numerous perks relating to the financial and banking industries. With the ever-changing nature of digital tech, information has become crucial, and these sectors are working diligently to take up and adjust to this transformation. There is significant competition in the industry, and emerging tactics and strategies must be accepted to survive the market competition. Using big data, firms can boost the quality and standards of their services.

Perks Associated with Big Data

Analytics and big data play a critical role when it comes to the financial industry. Firms are currently developing efficient strategies that can woo and retain clients. Financial and banking corporations are learning how to balance Big Data with their services to boost profits and sales. Banks have improved their current data trends and automated routine tasks. Here are a few of the advantages of Big Data in the banking and financial industry:

Improvement in risk management operations

Big Data can efficiently enhance the ways firms utilize predictive models in the risk management discipline. It improves the response timeline in the system and consequently boosts efficiency. Big Data provides financial and banking organizations with better risk coverage. Thanks to automation, the process has become more efficient.Through Big Data, groups concerned with risk management offer accurate intelligence insights linked to risk management.

Engaging the Workforce

Among the most significant perks of Big Data in banking firms is worker engagement. The working experience in the organization is considerably better. Nonetheless, companies and banks that handle financial services need to realize that Big Data must be appropriately implemented. It can come in handy when tracking, analyzing, and sharing metrics connected with employee performance. Big Data aids financial and banking service firms in identifying the top performers in the corporation.

Client Data Accessibility

Companies can find out more regarding their clients through Big Data. Excellent customer service implies outstanding employee performance. Aside from designing numerous tech solutions, data professionals will assist the firm set performance indicators in a project. It will aid in injective analytic expertise in multiple organizational areas. Whenever there is a better process, the work processes are streamlined. The banking and financial firms can leverage improved insights and knowledge of customer service and operational needs.

Coinsmart. Beste Bitcoin-Börse in Europa
Source: https://www.fintechnews.org/how-big-data-impacts-the-finance-and-banking-industries/

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Cyber Security

The Hidden Challenges of Data Retention

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Companies are drowning in enterprise data. While such data can serve as a conduit to innovation, it can also be a liability.

Having the right data retention policies in place not only protects data from unauthorized access or other malfeasances, it also ensures data is primed for business usage. Furthermore, recent regulations such as GDPR mandate the creation of a data retention policy to prove data is properly managed and utilized throughout its entire lifecycle, but especially at the very end.

Data Deletion 

While many organizations excel at saving data, few have mastered data disposal. 

According to a 2020 Deloitte survey, while 80% of companies surveyed have a defined data retention policy in place:

“only one out of three respondents provided data to the business process owners for final disposition. Data is seldom reclassified or anonymised per current practices. Organisations may not be aware of techniques to use anonymised/pseudonymised data in an effective manner. Only 30 percent of the organisations were adopting automated erasure techniques for data on completion of the retention period.”

Furthermore, the report found that an alarming number of companies relied on ineffective data deletion and drive/device formatting methods that can leave sensitive data unprotected. In fact, more than 15% of second-hand drives purchased from an online retailer contained leftover data from the previous users. 

GDPR and like-minded regulations also require proof of data disposal in the event of a consumer complaint. However, this too has been woefully overlooked as only 32% of companies “are prepared for and may have conducted audits of processing activities with respect to end-of-life of personal data.” 

It is clear that CISOs need to become involved with the data retention process. Though policy decisions can be left to chief data and privacy officers, CISOs are increasingly being compelled to oversee the execution of data retention strategy, especially when it comes to the logging and verification of data disposal. 

Data Lake Security & Governance 

Over the past decade, data lakes have surged in popularity amongst data scientists looking to experiment with advanced analytics. However, if not properly maintained, data swaps can easily devolve into data swamps whereby the system is flooded with irrelevant, unusable data. 

Such an environment poses a number of data security and privacy risks. To start with, data that can’t be found can’t be disposed of or retrieved in response to subject access requests. 

Secondly, even well governed data lakes are vulnerable to false data injection and malware obfuscation as datasets are not segmented by clear boundaries. As a result, someone with access to a particular file object can modify it, and there is no trail or history of what was modified.

CISOs, CDOs and CPOs must work together to create security-first data governance frameworks for data lakes to protect the business, it’s customers and it’s most valuable strategic data assets. Such a plan should also address:

  • Data access control 
  • Data protection (encryption)
  • Data lake usage audit 
  • Data leak prevention 
  • Data lineage documentation

In the event the business opts to “drain the data swamp” it’s critical for the CISO to play an active role in determining what data to keep and how to dispose of unusable or corrupted data in the securest way possible. 

Coinsmart. Beste Bitcoin-Börse in Europa
Source: https://www.cshub.com/executive-decisions/articles/the-hidden-challenges-of-data-retention

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