VXRL

Vulnerabilities discovery can be challenging for novice. In our talk, we will share the steps(and failure) we went through from beginner until finding 2 apple safari CVE (CVE-2019–8678,CVE-2019–8685)

In the first part of our talk, we will walkthrough some of the trick we used for target enumeration and corpus collection. Then ,we will share the steps we made to get the 2 CVE with public fuzzer. Lastly, we will go through the root cause analysis of these bugs and demonstrate how we do it for beginners.

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Originally published at https://www.vxrl.hk on July 23, 2020.

Locality Sensitive Hashing is an algorithm for similarity between documents, and we can take it and apply this algorithm to cybersecurity area including malware comparison. This survey paper is not about how to compare Malware but give the audience a ground to understand the ground of LSH.

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Originally published at https://www.vxrl.hk on March 3, 2020.

VXRL

VXRL

VXRL Team is founded by group of enthusiastic security researchers, providing information security services and contribute to the community. https://www.vxrl.hk