Classification of Software Vulnerability Artifacts Using Public Internet Data

Artifacts associated with vulnerabilities, such as patches, exploits, and scanners, provide valuable insights in the context of network security. In particular, the network protocols used by scanners to identify vulnerabilities offer clues about their exploitation mechanisms and associated risks. In this work, we analyze network-related vulnerabilities using data from the NomiSec repository, with a special focus on scanners. For example, we observe that some artifacts indicate that exploitation occurs via HTTP, while others require direct socket interactions. Additionally, we perform clustering and visualization of these artifacts, identifying relationships between different categories. We find that certain artifacts (directly taken from GitHub) are associated with the exploitation of network devices, such as firewalls, while others focus on protocol-specific vulnerabilities, such as SSL/TLS. These findings contribute to a better understanding of the vulnerability ecosystem and the improvement of mitigation strategies based on data automatically and periodically collected from GitHub.

Authors

Institutions

Publication Details

Published
2025-08-04
DOI
https://doi.org/10.1109/csr64739.2025.11130104
Citations
1
Primary Topic
Software Reliability and Analysis Research
Type
article
Field-Weighted Citation Impact
2.31
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Classification of Software Vulnerability Artifacts Using Public Internet Data

Daniel Sadoc Menasché, Anton Kocheturov, Miguel Bicudo, Gaurav Srivastava et al.
1 citations
Software Reliability and Analysis Research
2.31
article

Classification of Software Vulnerability Artifacts Using Public Internet Data

Daniel Sadoc Menasché, Anton Kocheturov, Miguel Bicudo, Gaurav Srivastava, Leonardo Ambrus de Lima, Estevão Rabello Ussler
article en
1 citations

Abstract

Artifacts associated with vulnerabilities, such as patches, exploits, and scanners, provide valuable insights in the context of network security. In particular, the network protocols used by scanners to identify vulnerabilities offer clues about their exploitation mechanisms and associated risks. In this work, we analyze network-related vulnerabilities using data from the NomiSec repository, with a special focus on scanners. For example, we observe that some artifacts indicate that exploitation occurs via HTTP, while others require direct socket interactions. Additionally, we perform clustering and visualization of these artifacts, identifying relationships between different categories. We find that certain artifacts (directly taken from GitHub) are associated with the exploitation of network devices, such as firewalls, while others focus on protocol-specific vulnerabilities, such as SSL/TLS. These findings contribute to a better understanding of the vulnerability ecosystem and the improvement of mitigation strategies based on data automatically and periodically collected from GitHub.

Universidade Federal do Rio de Janeiro (BR), Siemens (United States) (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 11%
Software Reliability and Analysis Research
2.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.