0day-Rubbish
OtherGitHubActivePython
Redefining vulnerability disclosure in the AI era. We mass-produce exploitable 0days and disclose them directly, using event-driven pressure to elevate vendor security standards and advance the field.
Description provenance: Original source
Measured: Sep 26, 2026 · 6 observations
Source evidence
- Source
- GitHub
- Last activity
- Sep 23, 2026
- observations
- 6
Fit to your task has not been evaluated.
Comparable readings are grouped by signal and unit.
Measured signals
- Stars
- 222
- stars
- Measured · Sep 26, 2026
Momentum
- momentum score
- 30.3
- Window
- 7 days
- Absolute change
- +6
- Relative change
- +2.78%
- Public signals
- Measured
Domains & Uses
- Domains
- Cybersecurity
Measurement history
Comparable readings are grouped by signal and unit.
Stars
stars
Time
Exact values
| Measured | Public signals |
|---|---|
| Sep 21, 2026 | 216 stars |
| Sep 22, 2026 | 217 stars |
| Sep 23, 2026 | 217 stars |
| Sep 24, 2026 | 219 stars |
| Sep 25, 2026 | 222 stars |
| Sep 26, 2026 | 222 stars |
Classifications
- Nature
- Tool