ml_dsa_compute_mu
shallowio.github.bowenerchen/cipherhub · Verify this server
[pqc_signature] 独立计算 ML-DSA 的 64 字节 mu 值（FIPS 204 Section 6.2）。 【用途】用于验证或调试 EXTERNAL_MU 模式的中间值，或与 AWS KMS EXTERNAL_MU 签名流程对接。 【计算公式】 - tr = SHAKE-256(raw_pk, 64) - M' = 0x00 || len(ctx) || ctx || message - mu = SHAKE-256(tr || M', 64) 【参数】 - public_key_spki_in_hex：公钥 hex（SPKI DER 或裸公钥均可），并校验 OID/长度与 algorithm 一致 - message_in_hex：原始消息 hex（最大 2048 字节，空字符串表示空消息） - context_in_hex：可选上下文 hex（最大 255 字节） - algorithm：ML-DSA-44 / ML-DSA-65（默认）/ ML-DSA-87 【输出】tr_in_hex、mu_in_hex、raw_pk_in_hex、algorithm、message_bytes。
1 trials · measured 8 days ago
ml_dsa_compute_mu scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.bowenerchen/cipherhub, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- self-provisionable
- Category
- Finance & compliance
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-25 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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