C2SP/wycheproof

Project Wycheproof tests crypto libraries against known attacks.

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C2SP/wycheproof has 3k+ stars and 300+ forks on GitHub, is written in Go, and was last pushed on Oct 12, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 26 minutes ago
Added to GitGenius on September 22nd, 2026
Created on November 8th, 2016
Open Issues & Pull Requests: 18 (+0)
GitHub issues: Enabled
Number of forks: 336
Total Stargazers: 3,125 (+0)
Total Subscribers: 161 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 27.4 hours
Mean response time: 186.3 days
90th percentile: 855.9 days
Tracked items: 79

Maintainer activity

1 person did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 11, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

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Issue Activity (beta)

Open issues: 11
New in 7 days: 0
Closed in 7 days: 1
Avg open age: 294 days
Stale 30+ days: 11
Stale 90+ days: 7

Recent activity

Opened in 7 days: 0
Closed in 7 days: 1
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Project Wycheproof is a test vector repository that cryptography library developers use to validate implementations against known attacks and specification inconsistencies.

The project addresses the challenge of ensuring cryptographic libraries are robust by providing a curated collection of test vectors in JSON format, accompanied by JSON schema documentation. Developers integrate these vectors into their testing workflows by loading the data, mapping their cryptographic APIs to the test inputs, and verifying that outputs match expected results. The README recommends integrating this process into continuous integration pipelines to catch regressions across changes.

The tool suits any project implementing cryptographic algorithms, from widely-used primitives like AES-GCM and ChaCha20-Poly1305 to post-quantum schemes like ML-KEM and ML-DSA. The coverage spans symmetric encryption, authenticated encryption, key derivation, digital signatures, key agreement, and hash-based constructions. Projects like pyca/cryptography have already integrated Wycheproof vectors into their test suites, providing a reference for adoption patterns. The README explicitly welcomes contributions of new test vector data and algorithms.

The project is undergoing active revitalization as a community-managed initiative with immediate priorities focused on expanding algorithm and test case coverage. Development activity shows engagement with the contribution process through pull requests and issue tracking, reflecting an open approach to growing the test vector collection.