Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2023-1172PUBLISHED: 2023-03-17
The Bookly plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the full name value in versions up to, and including, 21.5 due to insufficient input sanitization and output escaping. This makes it possible for unauthenticated attackers to inject arbitrary web scripts in pages that w...
CVE-2023-1469PUBLISHED: 2023-03-17
The WP Express Checkout plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the ‘pec_coupon[code]’ parameter in versions up to, and including, 2.2.8 due to insufficient input sanitization and output escaping. This makes it possible for authenti...
CVE-2023-1466PUBLISHED: 2023-03-17
A vulnerability was found in SourceCodester Student Study Center Desk Management System 1.0. It has been rated as critical. This issue affects the function view_student of the file admin/?page=students/view_student. The manipulation of the argument id with the input 3' AND (SELECT 2100 FROM (SELECT(...
CVE-2023-1467PUBLISHED: 2023-03-17
A vulnerability classified as critical has been found in SourceCodester Student Study Center Desk Management System 1.0. Affected is an unknown function of the file Master.php?f=delete_img of the component POST Parameter Handler. The manipulation of the argument path with the input C%3A%2Ffoo.txt le...
CVE-2023-1468PUBLISHED: 2023-03-17
A vulnerability classified as critical was found in SourceCodester Student Study Center Desk Management System 1.0. Affected by this vulnerability is an unknown functionality of the file admin/?page=reports&date_from=2023-02-17&date_to=2023-03-17 of the component Report Handler. The manipula...
User Rank: Author
9/29/2014 | 4:58:39 PM
creating the core, shared data model as ive described above (and storing data in it, analyzing it) is just the beginning. it isnt even necesary to look outside for a formal framework. in fact, just adding key fields and relationships to related data sets can be even more effective in an in-house solution that, for example, groups types of malware with simple, high-level incident reponse and triage procedures to serve as first-pass recipe system for moving out quickly when new malware beomes active malware.
we have seen big successes where organizations begin to track types of as-yet-unseen malware in and aorund them be able to react more quicky with mitigation by also tracking (simply, of course) what has been done in the past for similar problems. we use a simple "Polarity" metric attached to all our Actor-Target-Effect-Practice tuples, if you will, that map positive, negative or neutral to things like "security research" or "security solution" (as seen here).
this allows for quick sorting and filtering data to isolate things that may be not be active yet or may be the solution side of a problem you didnt yet know you have. what's more, it makes it easy to matrix these items into exploit knowledge bases or in-house incident respone recipes too. it's also great for surfacing to management in a way that tells them what may be out there too and show quantitatively what portion of your strategy these kinds of things occupy. simple data models can be very powerful when extended the right way and when data is collected diligently. not always a need to look outside for a solution either.