Read the Synopsys Cybersecurity Research Center’s (CyRC) analysis of CVE-2019-18989, CVE-2019-18990, and CVE-2019-18991.
The first software development team I worked on operated on the follow mantra: Make it work. Then, make it fast. Then, make it elegant (maybe). Meaning, don’t worry about performance optimizations until your code actually does what it’s supposed to do, and don’t worry about code maintainability until after you know it both works and performs well. Users generally have no idea how maintainable the code is, but they do know if the application is broken or slow.
In 2019, the Black Duck® Audit Services team audited 1,253 codebases to identify open source components, their associated licenses, security vulnerabilities, and overall community activity. Our Audit Services team has extensive experience in not only identifying open source licenses, but also researching the more than 2,700 license permutations that exist in the open source world. But what happens when an open source component has no license at all?
If you want to stay current, you have to keep up with what’s trending, no matter if it’s politics, healthcare, education, finance, or entertainment. Or software security, which in a connected world is behind everything on that list above. Software isn’t just important, it’s essential. The world as we know it wouldn’t function or even exist without it.
Knowing what could hurt you can help you. That’s the point of the nonprofit MITRE’s 2020 Common Weakness Enumeration (CWE) Top 25 Most Dangerous Software Errors (CWE Top 25) list, released a few weeks ago.
The Building Security In Maturity Model (BSIMM)—the annual report on the evolution of software security initiatives (SSIs)—is gaining some maturity itself. The latest report, which went public this week, is the 11th iteration. Some things haven’t changed. The fundamental goal remains what it was at the start, more than a decade ago.
Defensics is a generational fuzzer, which means it creates test cases based on a detailed model of the input data. The result: test cases that are very realistic but messed up in some way. This technique is highly effective in burrowing into different control paths in the target and revealing vulnerabilities. Subjectively speaking, the test cases have high quality. The disadvantage of generational fuzzing is that somebody has to create the data model for the inputs you are fuzzing.
As many businesses have begun to work almost entirely remotely until an as-yet-to-be-determined date, they have had to plan for activities that took place largely in person in the past. For example, many compliance audits have gone virtual in these times of uncertainty. This shift has forced organizations to adjust how they prepare and plan. But even in these times of uncertainty, it is your organization’s responsibility to stay sharp and on track with security knowledge, planning, and response.
Applications support some of the most strategic business processes and access an organization’s most sensitive data. However, application security continues to receive less budget and attention than network security. Thanks to the high-profile data breaches of the past few years, we can’t blame lack of awareness for the lack of investment. Security experts and business leaders alike are now painfully aware that hackers are targeting applications as an entry point.
