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Request: independently verifiable source signing and reproducible-build details for v7.0.0

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評估

難度
4/5
預估耗時
3-5 天
新手友好度
42/100
Issue 類型
文件
描述清晰度
基本清楚
活躍度
冷清
技術堆疊
git, github, python

研究方向

首先檢查 issue 中指定的 annotated tag v7.0.0、peeled commit、source archive、wheel 和 source distribution。檢查專案的 release 和 packaging 流程,確認 maintainer 簽章、金鑰繫結、雜湊值、建置工具和相依性的版本,以及 provenance 紀錄。完成的標準是:記錄或發布針對所要求的六個 provenance 和可重現性問題的權威答案。

由索引模型根據 Issue 內容生成。

描述

Hello maintainers,

I am reviewing python-tuf v7.0.0 for use in a security-sensitive, offline-verification workflow.

I could verify the following GitHub objects:

  • Annotated tag object: fed65f73486314242cc738fc7c5c891f5d7fc369
  • Peeled commit: 353bdb767db56fd4667c9bcf56b710d50fdc2ac0

GitHub shows the tag as verified through GitHub's web-flow signing key. However, I have not found an independently published maintainer signature or key binding that can authenticate these source objects without initially trusting GitHub as the identity authority.

Could you please clarify:

  1. Is there an official non-GitHub location that binds the v7.0.0 tag or commit to a maintainer-controlled signing-key fingerprint?
  2. Is a detached signature or signed release statement available for the tag, commit, or source archive?
  3. What is the canonical SHA-256 digest of the source archive used to build the published v7.0.0 artifacts?
  4. What exact build-tool and dependency versions were used for the release?
  5. Are the wheel and source distribution intended to be byte-for-byte reproducible from the tagged source? If not, which content-level comparison is considered authoritative?
  6. Are there plans to publish provenance or attestations that bind the source commit to the PyPI artifacts?

This is a supply-chain provenance question, not a vulnerability report. No private repository information or credentials are involved.

Thank you.

主要語言
Python
星號
1.7k
分支
304
平均合併
1 天 2 小時
30 天內合併 PR
17

環境準備

從這裡開始

  1. 先讀完整個 Issue,再讀專案的貢獻指南。
  2. 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
  3. Fork 儲存庫,在一個分支上完成修改。
  4. 送出 Pull Request,並在描述裡引用這個 Issue 編號。

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