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Walking Up a Merkle Tree: SHA-256 Proof Validation in Python

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Walking Up a Merkle Tree: SHA-256 Proof Validation in Python
TL;DR · WeSearch summary

The article discusses how to verify a Merkle proof using SHA-256 in Python. It explains the structure of a Merkle proof and provides a step-by-step guide on how to walk up the Merkle tree to validate the proof. The author also shares code examples for combining hashes and verifying the proof against a file.

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Record

Original publisherDEV.to (Top)
Canonical URLhttps://dev.to/craig_solomon/walking-up-a-merkle-tree-sha-256-proof-validation-in-python-2fg9
Publication timeMon, 18 May 2026 13:00:01 +0000
Retrieval time2026-05-18T13:04:56.494Z
Last seen2026-05-18T13:04:56.494Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterSr9cBfS_0TuS
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3861408) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Craig Solomon Posted on May 18 • Originally published at proofledger.io Walking Up a Merkle Tree: SHA-256 Proof Validation in Python #blockchain #insurance #legaltech #evidence You get a file hash and a Merkle proof that claims it's anchored in some blockchain transaction. How do you verify that claim without trusting the service that gave you the proof? I built ProofLedger to create these proofs, but the verification should work independently.

Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).

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