dumbtv
dumbtv takes the ads, screen tracking and update nags out of your Fire TV over ADB. No root, none of your apps touched, every step can be undone. Free and open source.
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尚未偵測到更新。GitHub 發布版本後會顯示在這裡。
個人 GitHub 帳號下公開儲存庫的擁有者可以登入並驗證所有權,自行管理介紹,無需管理員核准。
登入並產生驗證檔案,在 30 分鐘內將其提交至此儲存庫的預設分支。其他分支或分叉儲存庫中的檔案無效。然後在下方檢查檔案,即可無需管理員核准直接管理專案。請保留檔案以維持管理權限。
如需登入,將前往登入頁面。登入後請回到此處,再次點擊所選的驗證按鈕。
在專案資料夾中執行 /nomorevibe verify,即可驗證所有權並自行管理介紹。
一分鐘完成驗證Tracking vulnerabilities contributed by AI-written code
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取自儲存庫 README
正在載入完整 README。
檢視完整 README ↗A Georgia Tech SSLab catalog of public vulnerabilities whose root cause traces to AI-written code.
We start from disclosed GHSA and CVE advisories, not from a scan of every AI commit. A finding is published only when we can show three things on the same attack path: the AI-authored change, the vulnerable behavior, and the fix that closed it. Cursor, Copilot, Claude Code, and similar tools all appear; the catalog is about the code they left behind, not a ranking of tools.
Browse the current catalog for cases and statistics. The catalog is a lower bound, not a census of every AI bug. Many AI-assisted changes never become a public advisory, and some that do leave a history we cannot recover.
What counts: AI introduced the flaw, exposed the vulnerable path, or left a security fix incomplete.
What does not: an AI marker, git blame, or model verdict on its own. We also do not claim that AI is riskier than human code. This dataset is not a rate comparison.
The longer writeup is on the site: How we verify.
A case looks wrong, or we missed one: open an issue or email [email protected].
MIT