Weiheng Bai and Qiushi Wu (University of Minnesota)

Vulnerability research is vital to mitigating cyberattacks, which tries to devise new approaches to discover new vulnerabilities. As an ethical research guideline, researchers are expected to report the found vulnerabilities to the corresponding vendors before disclosing them (e.g., publishing a paper), which is known as the responsible-disclosure process. Undoubtedly, the intention of responsible disclosure is to help improve the security of software. We observe that the current responsible disclosure may not be as effective as expected. In particular, reports can be significantly delayed or completely ignored. Reports for securitycritical vulnerabilities are often publicly disclosed, which can potentially be abused by attackers.

In this work, we plan to study the effectiveness of the existing responsible disclosure. Two major questions we aim to answer are: (1) Are security-critical bug reports commonly disclosed publicly in the first place? (2) What factors of a bug report contribute to delaying or ignoring? By answering the questions, we aim to provide insights into how to improve the quality of bug reports and the effectiveness of responsible disclosure. In this paper, we present our preliminary results of this work. We take the Linux reports and patch history as an example. We found that at least in Linux, most security bugs are publicly disclosed before they are fixed, and that factors such as length of reports, author experience, and author affiliations have an impact on the delay of patching. In the end, we also present our plans for future work.

View More Papers

coucouArray ( [post_type] => ndss-paper [post_status] => publish [posts_per_page] => 4 [orderby] => rand [tax_query] => Array ( [0] => Array ( [taxonomy] => category [field] => id [terms] => Array ( [0] => 69 [1] => 66 ) ) ) [post__not_in] => Array ( [0] => 13645 ) )

Browser Permission Mechanisms Demystified

Kazuki Nomoto (Waseda University), Takuya Watanabe (NTT Social Informatics Laboratories), Eitaro Shioji (NTT Social Informatics Laboratories), Mitsuaki Akiyama (NTT Social Informatics Laboratories), Tatsuya Mori (Waseda University/NICT/RIKEN AIP)

Read More

BinaryInferno: A Semantic-Driven Approach to Field Inference for Binary...

Jared Chandler (Tufts University), Adam Wick (Fastly), Kathleen Fisher (DARPA)

Read More

podft: On Accelerating Dynamic Taint Analysis with Precise Path...

Zhiyou Tian (Xidian University), Cong Sun (Xidian University), Dongrui Zeng (Palo Alto Networks), Gang Tan (Pennsylvania State University)

Read More

Backdoor Attacks Against Dataset Distillation

Yugeng Liu (CISPA Helmholtz Center for Information Security), Zheng Li (CISPA Helmholtz Center for Information Security), Michael Backes (CISPA Helmholtz Center for Information Security), Yun Shen (Netapp), Yang Zhang (CISPA Helmholtz Center for Information Security)

Read More

Privacy Starts with UI: Privacy Patterns and Designer Perspectives in UI/UX Practice

Anxhela Maloku (Technical University of Munich), Alexandra Klymenko (Technical University of Munich), Stephen Meisenbacher (Technical University of Munich), Florian Matthes (Technical University of Munich)

Vision: Profiling Human Attackers: Personality and Behavioral Patterns in Deceptive Multi-Stage CTF Challenges

Khalid Alasiri (School of Computing and Augmented Intelligence Arizona State University), Rakibul Hasan (School of Computing and Augmented Intelligence Arizona State University)

From Underground to Mainstream Marketplaces: Measuring AI-Enabled NSFW Deepfakes on Fiverr

Mohamed Moustafa Dawoud (University of California, Santa Cruz), Alejandro Cuevas (Princeton University), Ram Sundara Raman (University of California, Santa Cruz)