CVE Deep Dive is based on a research-oriented approach to vulnerability analysis.
In this context, each CVE is analyzed in an isolated lab environment in order to understand:
- how the vulnerability works
- what is the root cause
- what changed in the patch
- what is the real impact on the system
This project focuses on technical understanding and controlled validation rather than exploitation.
| cve id | component | status | notes |
|---|---|---|---|
| CVE-2026-31431 | kernel | validated | manual lab validation + inspector script |
Each CVE is isolated in its own directory.
CVE-XXXX-XXXX/
├── README.md
├── notes.md
├── scripts/
├── analysis/
├── lab/
└── artifacts/This structure allows:
- clean separation between CVEs
- reproducible lab environments
- structured analysis workflow
Each CVE may include helper scripts used during analysis.
| script | role | description |
|---|---|---|
| cve_2026_31431.py | inspection | collects system information and kernel context |
These scripts are designed for:
- environment inspection
- system context analysis
- lab validation
They do not perform exploitation and are limited to safe inspection and analysis.
Note
All scripts are intended to be executed in isolated lab environments only.
python3 CVE-2026-31431/scripts/cve_2026_31431.py --confirm-labNote
This repository does not provide weaponized exploits. All tests are performed in controlled environments. The goal is to understand vulnerabilities, not to abuse them.
The goal is to understand vulnerabilities, not to publish weaponized code.
Testing is done in isolated systems to avoid impacting real environments and to safely reproduce behavior.
Scripts are used to inspect and document the environment, not to exploit the vulnerability.