Add Christmass advisories
This commit is contained in:
StellaOps Bot
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Here’s a tight, practical blueprint for evolving Stella Ops’s policy engine into a **fully deterministic verdict engine**—so the *same SBOM + VEX + reachability subgraph ⇒ the exact same, replayable verdict* every time, with auditor‑grade trails and signed “delta verdicts.”
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# Why this matters (quick)
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* **Reproducibility:** auditors can replay any scan and get identical results.
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* **Trust & scale:** cross‑agent consensus via content‑addressed inputs and signed outputs.
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* **Operational clarity:** diffs between builds become crisp, machine‑verifiable artifacts.
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# Core principles
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* **Determinism-first:** no wall‑clock time, no random iteration order, no network during evaluation.
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* **Content‑addressing:** hash every *input* (SBOM, VEX docs, reachability subgraph, policy set, rule versions, feed snapshots).
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* **Declarative state:** a compact **Scan Manifest** lists input hashes + policy bundle hash + engine version.
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* **Pure evaluation:** the verdict function is referentially transparent: `Verdict = f(Manifest)`.
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# Data artifacts
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* **Scan Manifest (`manifest.jsonc`)**
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* `sbom_sha256`, `vex_set_sha256[]`, `reach_subgraph_sha256`, `feeds_snapshot_sha256`, `policy_bundle_sha256`, `engine_version`, `policy_semver`, `options_hash`
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* **Verdict (`verdict.json`)**
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* canonical JSON (stable key order); includes:
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* `risk_score`, `status` (pass/warn/fail), `unknowns_count`
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* **evidence_refs:** content IDs for cited VEX statements, nodes/edges from reachability, CVE records, feature‑flags, env‑guards
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* **explanations:** stable, template‑driven strings (+ machine reasons)
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* **Delta Verdict (`delta.json`)**
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* computed between two manifests/verdicts:
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* `added_findings[]`, `removed_findings[]`, `severity_shift[]`, `unknowns_delta`, `policy_effects[]`
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* signed (DSSE/COSE/JWS), time‑stamped, and linkable to both verdicts
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# Engine architecture (deterministic path)
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1. **Normalize inputs**
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* SBOM: sort by `packageUrl`/`name@version`; resolve aliases; freeze semver comparison rules.
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* VEX: normalize provider → `vex_id`, `product_ref`, `status` (`affected`, `not_affected`, …), *with* source trust score precomputed from a **trust registry** (strict, versioned).
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* Reachability: store subgraph as adjacency lists sorted by node ID; hash after topological stable ordering.
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* Feeds: lock to a **snapshot** (timestamp + commit/hash); no live calls.
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2. **Policy bundle**
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* Declarative rules (e.g., lattice/merge semantics), compiled to a **canonical IR** (e.g., OPA‑Rego → sorted DNF).
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* Merge precedence is explicit (e.g., `vendor > distro > internal` can be replaced by a lattice‑merge table).
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* Unknowns policy baked in: e.g., `fail_if_unknowns > N in prod`.
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3. **Evaluation**
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* Build a **finding set**: `(component, vuln, context)` tuples with deterministic IDs.
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* Apply **lattice‑based VEX merge** (proof‑carrying): each suppression must carry an evidence pointer (feature flag off, code path unreachable, patched‑backport proof).
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* Compute final `status` and `risk_score` using fixed‑precision math; round rules are part of the bundle.
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4. **Emit**
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* Canonicalize verdict JSON; attach **evidence map** (content IDs only).
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* Sign verdict; attach as **OCI attestation** to image/digest.
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# APIs (minimal but complete)
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* `POST /evaluate` → returns `verdict.json` + attestation
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* `POST /delta` with `{base_verdict, head_verdict}` → `delta.json` (signed)
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* `GET /replay?manifest_sha=` → re‑executes using cached snapshot bundles, returns the same `verdict_sha`
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* `GET /evidence/:cid` → fetches immutable evidence blobs (offline‑ready)
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# Storage & indexing
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* **CAS (content‑addressable store):** `/evidence/<sha256>` for SBOM/VEX/graphs/feeds/policies.
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* **Verdict registry:** keyed by `(image_digest, manifest_sha, engine_version)`.
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* **Delta ledger:** append‑only, signed; supports cross‑agent consensus (multiple engines can co‑sign identical deltas).
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# UI slices (where it lives)
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* **Run details → “Verdict” tab:** status, risk score, unknowns, top evidence links.
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* **“Diff” tab:** render **Delta Verdict** (added/removed/changed), with drill‑down to proofs.
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* **“Replay” button:** shows the exact manifest & engine version; one‑click re‑evaluation (offline possible).
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* **Audit export:** zip of `manifest.jsonc`, `verdict.json`, `delta.json` (if any), attestation, and referenced evidence.
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# Testing & QA (must‑have)
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* **Golden tests:** fixtures of manifests → frozen verdict JSONs (byte‑for‑byte).
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* **Chaos determinism tests:** vary thread counts, env vars, map iteration seeds; assert identical verdicts.
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* **Cross‑engine round‑trips:** two independent builds of the engine produce the same verdict for the same manifest.
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* **Time‑travel tests:** replay older feed snapshots to ensure stability.
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# Rollout plan
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1. **Phase 1:** Introduce Manifest + canonical verdict format alongside existing policy engine (shadow mode).
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2. **Phase 2:** Make verdicts the **first‑class artifact** (OCI‑attached); ship UI “Verdict/Diff”.
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3. **Phase 3:** Enforce **delta‑gates** in CI/CD (risk budgets + exception packs referenceable by content ID).
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4. **Phase 4:** Open **consensus mode**—accept externally signed identical delta verdicts to strengthen trust.
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# Notes for Stella modules
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* **scanner.webservice:** keep lattice algorithms here (per your standing rule). Concelier/Excitors “preserve‑prune source.”
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* **Authority/Attestor:** handle DSSE signing, key management, regional crypto profiles (eIDAS/FIPS/GOST/SM).
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* **Feedser/Vexer:** produce immutable **snapshot bundles**; never query live during evaluation.
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* **Router/Scheduler:** schedule replay jobs; cache manifests to speed up audits.
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* **Db:** Postgres as SoR; Valkey only for ephemeral queues/caches (per your BSD‑only profile).
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If you want, I can generate:
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* a sample **Manifest + Verdict + Delta** trio,
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* the **canonical JSON schema**,
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* and a **.NET 10** reference evaluator (deterministic LINQ pipeline + fixed‑precision math) you can drop into `scanner.webservice`.
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Here’s a small but high‑impact practice to make your hashes/signatures and “same inputs → same verdict” truly stable across services: **pick one canonicalization and enforce it at the resolver boundary.**
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---
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### Why this matters (in plain words)
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Two JSONs that *look* the same can serialize differently (key order, spacing, Unicode forms). If one producer emits slightly different bytes, your REG/verdict hash changes—even though the meaning didn’t—breaking dedup, cache hits, attestations, and audits.
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---
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### The rule
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**Adopt one canonicalization spec and apply it everywhere at ingress/egress of your resolver:**
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* **Strings:** normalize to **UTF‑8, Unicode NFC** (Normalization Form C).
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* **JSON:** canonicalize with a deterministic scheme (e.g., **RFC 8785 JCS**: sorted keys, no insignificant whitespace, exact number formatting, escape rules).
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* **Binary for hashing/signing:** always hash **the canonical bytes**, never ad‑hoc serializer output.
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---
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### Minimal contract (put this in your CONTRIBUTING/AGREEMENTS.md)
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1. Inputs may arrive in any well‑formed JSON.
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2. Resolver **normalizes strings (NFC)** and **re‑emits JSON in JCS**.
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3. **REG hash** is computed from **JCS‑canonical UTF‑8 bytes** only.
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4. Any signature/attestation (DSSE/OCI) MUST cover those same bytes.
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5. Any module that can’t speak JCS must pass raw data to the resolver; only the resolver serializes.
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---
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### Practical .NET 10 snippet (drop‑in utility)
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```csharp
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using System.Text;
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using System.Text.Json;
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using System.Globalization;
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public static class Canon
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{
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// 1) Unicode → NFC
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public static string ToNfc(string s) => s is null ? null : s.Normalize(NormalizationForm.FormC);
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// 2) Walk JSON tree, NFC all strings
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public static JsonElement NormalizeStrings(JsonElement node, JsonSerializerOptions opts = null!)
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{
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switch (node.ValueKind)
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{
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case JsonValueKind.String:
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var nfc = ToNfc(node.GetString()!);
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return JsonDocument.Parse(JsonSerializer.Serialize(nfc)).RootElement;
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case JsonValueKind.Object:
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{
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using var doc = JsonDocument.Parse("{}");
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var dict = new SortedDictionary<string, JsonElement>(StringComparer.Ordinal); // sorted keys (JCS)
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foreach (var p in node.EnumerateObject())
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{
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var key = ToNfc(p.Name);
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dict[key] = NormalizeStrings(p.Value, opts);
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}
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// re‑emit in sorted order
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using var buf = new MemoryStream();
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using (var w = new Utf8JsonWriter(buf, new JsonWriterOptions { SkipValidation = false, Indented = false }))
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{
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w.WriteStartObject();
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foreach (var kv in dict)
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WriteCanonical(kv.Key, kv.Value, w);
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w.WriteEndObject();
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}
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return JsonDocument.Parse(buf.ToArray()).RootElement;
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}
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case JsonValueKind.Array:
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{
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var items = new List<JsonElement>();
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foreach (var v in node.EnumerateArray())
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items.Add(NormalizeStrings(v, opts));
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using var buf = new MemoryStream();
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using (var w = new Utf8JsonWriter(buf, new JsonWriterOptions { SkipValidation = false, Indented = false }))
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{
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w.WriteStartArray();
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foreach (var v in items) v.WriteTo(w);
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w.WriteEndArray();
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}
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return JsonDocument.Parse(buf.ToArray()).RootElement;
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}
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default:
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return node; // numbers/bools/null unchanged (JCS rules avoid extra zeros, no NaN/Inf)
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}
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}
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// helper to write a property with an already-built JsonElement
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static void WriteCanonical(string name, JsonElement value, Utf8JsonWriter w)
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{
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w.WritePropertyName(name); // JCS: name is exact UTF‑8, no extra spaces
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value.WriteTo(w); // keep canonicalized subtree
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}
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// 3) Canonical bytes for hashing/signing
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public static byte[] CanonicalizeUtf8(ReadOnlySpan<byte> utf8Json)
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{
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using var doc = JsonDocument.Parse(utf8Json);
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var normalized = NormalizeStrings(doc.RootElement);
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using var buf = new MemoryStream();
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using (var w = new Utf8JsonWriter(buf, new JsonWriterOptions { Indented = false })) // no whitespace
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normalized.WriteTo(w);
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return buf.ToArray(); // feed into SHA‑256/DSSE
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}
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}
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```
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**Usage (hash/sign):**
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```csharp
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var inputBytes = File.ReadAllBytes("input.json");
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var canon = Canon.CanonicalizeUtf8(inputBytes);
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var sha256 = System.Security.Cryptography.SHA256.HashData(canon);
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// sign `canon` bytes; attach hash to verdict/attestation
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```
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---
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### Drop‑in checklist (pin on your wall)
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* [ ] One canonicalization policy: **UTF‑8 + NFC + JCS**.
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* [ ] Resolver owns canonicalization (single choke‑point).
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* [ ] **REG hash/signatures always over canonical bytes.**
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* [ ] CI gate: reject outputs that aren’t JCS; fuzz keys/order/whitespace in tests.
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* [ ] Log both the pre‑canonical and canonical SHA‑256 for audits.
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* [ ] Backward‑compat path: migrate legacy verdicts by re‑canonicalizing once, store “old_hash → new_hash” map.
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---
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If you want, I can wrap this into a tiny **`StellaOps.Canonicalizer`** NuGet (net10.0) and a Git pre‑commit hook + CI check so your agents and services can’t drift.
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Here’s a practical blueprint for linking what you *build* to what actually *runs*, and turning that into proof-grade security decisions.
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# Static → Binary braid (build-time proof of “what functions are inside”)
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**Goal:** Prove exactly which functions/offsets shipped in an artifact—without exposing full source.
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* **What to store (per artifact):**
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* Minimal call‑stack “entry→sink” traces for relevant code paths (e.g., public handlers → sensitive sinks).
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* Symbol map concordance: `{ function, file, address-range, Build‑ID, debug-id }`.
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* Hashes per function-range (e.g., rolling BLAKE3 over `.text` subranges), plus overall `.text`/`.rodata` digests.
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* **How to generate:**
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* During build, emit:
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* ELF/PE/Mach‑O: capture Build‑ID, section ranges, and DWARF/CodeView ↔ symbol table mapping.
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* Function-range hashing: disassemble to find prolog/epilog (fallback to symbol boundaries), hash byte ranges.
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* Entry→sink traces: from static CFG or unit/integration tests with instrumentation; serialize as compact spans (start fn, end fn, edge list hash).
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* **Proof object (tiny & replayable):**
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* `{ build_id, section_hashes, [ {func: name, addr: start..end, func_hash}, … ], [trace_hashes] }`
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* Sign with DSSE (in‑toto envelope). Auditors can replay using the published Build‑ID + debug symbols to verify function boundaries without your source.
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* **Attach & ship:**
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* Publish as an OCI referrers artifact alongside the image (e.g., `application/vnd.stellaops.funcproof+json`), referenced from SBOM (CycloneDX `evidence` or SPDX `verificationCode` extension).
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* **Why it matters:**
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* When a CVE names a *symbol* (not just a package version), you can prove whether that symbol (and exact byte-range) is present in your binary.
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# Runtime → Build braid (production proof of “what code ran”)
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**Goal:** Observe live stacks (cheaply), canonicalize to symbols, and correlate to SBOM components. If a vulnerable symbol appears *in hot paths*, automatically downgrade VEX posture.
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* **Collection (Linux):**
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* eBPF sampling for targeted processes/containers; use `bpf_get_stackid` to capture stack traces (user & kernel) into a perf map with low overhead.
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* Collapse stacks (“frameA;frameB;… count”) à la flamegraph format; include PID, container image digest, Build‑ID tuples.
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* **Canonicalization:**
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* Resolve PCs → (Build‑ID, function, offset) via `perf-map-agent`/`eu-stack`, or your own resolver using `.note.gnu.build-id` + symbol table (prefer `debuginfod` in lab; ship a slim symbol cache in prod).
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* Normalize language runtimes: Java/.NET/Python frames mapped to package+symbol via runtime metadata; native frames via ELF.
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* **Correlate to SBOM:**
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* For each frame: map `(image-digest, Build‑ID, function)` → SBOM component (pkg + version) and to your **Static→Binary proof** entry.
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* **VEX policy reaction:**
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* If a CVE’s vulnerable symbol appears in observed stacks **and** matches your static proof:
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* Auto‑emit a **VEX downgrade** (e.g., from `not_affected` to `affected`) with DSSE signatures, including runtime evidence:
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* Top stacks where the symbol was hot (counts/percentile),
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* Build‑ID(s) observed,
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* Timestamp window and container IDs.
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* If symbol is present in build but never observed (and policy allows), maintain or upgrade to `not_affected(conditions: not_reachable_at_runtime)`—with time‑boxed confidence.
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* **Controls & SLOs:**
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* Sampling budget per workload (e.g., 49 Hz for N minutes per hour), P99 overhead <1%.
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* Privacy guardrails: hash short-lived arguments; only persist canonical frames + counts.
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# How this lands in Stella Ops (concrete modules & evidence flow)
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* **Sbomer**: add `funcproof` generator at build (ELF range hashing + entry→sink traces). Emit CycloneDX `components.evidence` link to funcproof artifact.
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* **Attestor**: wrap funcproof in DSSE, push as OCI referrer; record in Proof‑of‑Integrity Graph.
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* **Signals/Excititor**: eBPF sampler daemonset; push collapsed frames with `(image-digest, Build‑ID)` to pipeline.
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* **Concelier**: resolver service mapping frames → SBOM components + funcproof presence; maintain hot‑symbol index.
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* **Vexer/Policy Engine**: when hot vulnerable symbol is confirmed, produce signed VEX downgrade; route to **Authority** for policy‑gated actions (quarantine, canary freeze, diff-aware release gate).
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* **Timeline/Notify**: human‑readable evidence pack: “CVE‑2025‑XXXX observed in `libfoo::parse_hdr` (Build‑ID abc…), 17.3% of CPU in api‑gw@prod between 12:00–14:00 UTC; VEX → affected.”
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# Data shapes (keep them tiny)
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* **FuncProof JSON (per binary):**
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```json
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{
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"buildId": "ab12…",
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"sections": {".text": "hash", ".rodata": "hash"},
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"functions": [
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{"sym": "foo::bar", "start": "0x401120", "end": "0x4013af", "hash": "…"}
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],
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"traces": ["hash(edge-list-1)", "hash(edge-list-2)"],
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"meta": {"compiler": "clang-18", "flags": "-O2 -fno-plt"}
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}
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```
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* **Runtime frame sample (collapsed):**
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```
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api-gw@sha256:…;buildid=ab12…;foo::bar+0x3a;net/http::Serve;… 97
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```
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# Rollout plan (short and sweet)
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1. **Phase 1 — Build plumbing:** implement function-range hashing + DSSE attestation; publish as OCI referrer; link from SBOM.
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2. **Phase 2 — Runtime sampler:** ship eBPF agent with stack collapse + Build‑ID resolution; store only canonical frames.
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3. **Phase 3 — Correlation & VEX:** map frames ↔ SBOM ↔ funcproof; auto‑downgrade VEX on hot vulnerable symbols; wire policy actions.
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4. **Phase 4 — Auditor replay:** `stella verify --image X` downloads funcproof + symbols and replays hashes and traces to prove presence/absence without source.
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# Why this is a moat
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* **Symbol‑level truth**, not just package versions.
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* **Runtime‑aware VEX** that flips based on evidence, not assumptions.
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* **Tiny proof objects** make audits fast and air‑gap‑friendly.
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* **Deterministic replay**: “same inputs → same verdict,” signed.
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If you want, I can draft:
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* the DSSE schemas,
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* the eBPF sampler config for Alpine/Debian/RHEL/SLES/Astra,
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* and the exact CycloneDX/SPDX extensions to carry `funcproof` links.
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@@ -0,0 +1,123 @@
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Here’s a simple, practical way to make **release gates** that auto‑decide if a build is “routine” or “risky” by comparing the *semantic delta* across SBOMs, VEX data, and dependency graphs—so product managers can approve (or defer) with evidence, not guesswork.
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### What this means (quick background)
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* **SBOM**: a bill of materials for your build (what components you ship).
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* **VEX**: vendor statements about whether known CVEs actually affect a product/version.
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* **Dependency graph**: how components link together at build/runtime.
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* **Semantic delta**: not just “files changed,” but “risk‑relevant meaning changed” (e.g., new reachable vuln path, new privileged capability, downgraded VEX confidence).
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---
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### The gate’s core signal (one line)
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**Risk Verdict = f(ΔSBOM, ΔReachability, ΔVEX, ΔConfig/Capabilities, ΔExploitability)** → Routine | Review | Block
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---
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### Minimal data you need per release
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* **SBOM (CycloneDX/SPDX)** for previous vs current release.
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* **Reachability subgraph**: which vulnerable symbols/paths are actually callable (source, package, binary, or eBPF/runtime).
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* **VEX claims** merged from vendors/distros/internal (with trust scores).
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* **Policy knobs**: env tier (prod vs dev), allowed unknowns, max risk budget, critical assets list.
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* **Exploit context**: EPSS/CISA KEV or your internal exploit sighting, if available.
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---
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### How to compute the semantic delta (fast path)
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|
||||
1. **Component delta**: new/removed/updated packages → tag each change with severity (critical/security‑relevant vs cosmetic).
|
||||
2. **Vulnerability delta**:
|
||||
|
||||
* New CVEs introduced?
|
||||
* Old CVEs now mitigated (patch/backport) or declared **not‑affected** via VEX?
|
||||
* Any VEX status regressions (e.g., “not‑affected” → “under‑investigation”)?
|
||||
3. **Reachability delta**:
|
||||
|
||||
* Any *new* call‑paths to vulnerable functions?
|
||||
* Any risk removed (path eliminated via config/feature‑flag/off by default)?
|
||||
4. **Config/capabilities delta**:
|
||||
|
||||
* New container perms (NET_ADMIN, SYS_ADMIN), new open ports, new outbound calls.
|
||||
* New data flows to sensitive stores.
|
||||
5. **Exploitability delta**:
|
||||
|
||||
* EPSS/KEV jumps; active exploitation signals.
|
||||
|
||||
---
|
||||
|
||||
### A tiny, useful scoring rubric (defaults you can ship)
|
||||
|
||||
* Start at 0. Add:
|
||||
|
||||
* +6 if any **reachable** critical vuln (no valid VEX “not‑affected”).
|
||||
* +4 if any **reachable** high vuln.
|
||||
* +3 if new sensitive capability added (e.g., NET_ADMIN) or new public port opened.
|
||||
* +2 if VEX status regressed (NA→U/I or Affected).
|
||||
* +1 per unknown package origin or unsigned artifact (cap at +5).
|
||||
* Subtract:
|
||||
|
||||
* −3 per *proven* mitigation (valid VEX NA with trusted source + reachability proof).
|
||||
* −2 if vulnerable path is demonstrably gated off in target env (feature flag off + policy evidence).
|
||||
* Verdict:
|
||||
|
||||
* **0–3** → Routine (auto‑approve)
|
||||
* **4–7** → Review (PM/Eng sign‑off)
|
||||
* **≥8** → Block (require remediation/exception)
|
||||
|
||||
*(Tune thresholds per env: e.g., prod stricter than staging.)*
|
||||
|
||||
---
|
||||
|
||||
### What PMs see (clean UI)
|
||||
|
||||
* **Badge**: Routine / Review / Block.
|
||||
* **Why** (3–5 bullets):
|
||||
|
||||
* “Added `libpng` 1.6.43 (new), CVE‑XXXX reachable via `DecodePng()`”
|
||||
* “Vendor VEX for `libssl` says not‑affected (function not built)”
|
||||
* “Container gained `CAP_NET_RAW`”
|
||||
* **Evidence buttons**:
|
||||
|
||||
* “Show reachability slice” (mini graph)
|
||||
* “Show VEX sources + trust”
|
||||
* “Show SBOM diff”
|
||||
* **Call to action**:
|
||||
|
||||
* “Auto‑remediate to 1.6.44” / “Mark exception” / “Open fix PR”
|
||||
|
||||
---
|
||||
|
||||
### Exception workflow (auditable)
|
||||
|
||||
* Exception must include: scope, expiry, compensating controls, owner, and linked evidence (reachability/VEX).
|
||||
* Gate re‑evaluates each release; expired exceptions auto‑fail the gate.
|
||||
|
||||
---
|
||||
|
||||
### How to wire it into CI/CD (quick recipe)
|
||||
|
||||
1. Generate SBOM + reachability slice for `prev` and `curr`.
|
||||
2. Merge VEX from vendor/distro/internal with trust scoring.
|
||||
3. Run **Delta Evaluator** → score + verdict + evidence bundle (JSON + attestation).
|
||||
4. Gate policy checks score vs environment thresholds.
|
||||
5. Publish an **OCI‑attached attestation** (DSSE/in‑toto) so auditors can replay: *same inputs → same verdict*.
|
||||
|
||||
---
|
||||
|
||||
### Starter policy you can copy
|
||||
|
||||
* **Prod**: block on any reachable Critical; review on any reachable High; unknowns ≤ 2; no new privileged caps without exception.
|
||||
* **Pre‑prod**: review on reachable High/Critical; unknowns ≤ 5.
|
||||
* **Dev**: allow but flag; collect evidence.
|
||||
|
||||
---
|
||||
|
||||
### Why this helps immediately
|
||||
|
||||
* PMs get **evidence‑backed** green/yellow/red, not CVE walls.
|
||||
* Engineers get **actionable deltas** (what changed that matters).
|
||||
* Auditors get **replayable proofs** (deterministic verdicts + inputs).
|
||||
|
||||
If you want, I can turn this into a ready‑to‑drop spec for Stella Ops (modules, JSON schemas, attestation format, and a tiny React panel mock) so your team can implement the gate this sprint.
|
||||
@@ -0,0 +1,67 @@
|
||||
Here’s a practical, low‑friction way to modernize how you sign and verify build “verdicts” in CI/CD using Sigstore—no long‑lived keys, offline‑friendly, and easy to audit.
|
||||
|
||||
---
|
||||
|
||||
### 1) Use **keyless** signing in CI
|
||||
|
||||
* In your pipeline, obtain an OIDC token (from your CI runner) and let **Fulcio** issue a short‑lived X.509 code‑signing cert (~10 minutes). You sign with the ephemeral key; cert + signature are logged to Rekor. ([Sigstore Blog][1])
|
||||
|
||||
**Why:** no key escrow in CI, nothing persistent to steal, and every signature is time‑bound + transparency‑logged.
|
||||
|
||||
---
|
||||
|
||||
### 2) Keep one **hardware‑backed org key** only for special cases
|
||||
|
||||
* Reserve a physical HSM/YubiKey (or KMS) key for:
|
||||
a) re‑signing monthly bundles (see §4), and
|
||||
b) offline/air‑gapped verification workflows where a trust anchor is needed.
|
||||
Cosign supports disconnected/offline verification patterns and mirroring the proof data. ([Sigstore][2])
|
||||
|
||||
---
|
||||
|
||||
### 3) Make “verdicts” first‑class OCI attestations
|
||||
|
||||
* Emit DSSE/attestations (SBOM deltas, reachability graphs, policy results) as OCI‑attached artifacts and sign them with keyless in CI. (Cosign is designed to sign/verify arbitrary OCI artifacts alongside images.) ([Artifact Hub][3])
|
||||
|
||||
---
|
||||
|
||||
### 4) Publish a **rotation & refresh policy**
|
||||
|
||||
* Every month, collect older attestations and **re‑sign into a long‑lived “bundle”** (plus timestamps) using the org key. This keeps proofs verifiable over years—even if the 10‑minute certs expire—because the bundle contains the cert chain, Rekor inclusion proof, and timestamps suitable for **offline** verification. ([Trustification][4])
|
||||
|
||||
**Suggested SLOs**
|
||||
|
||||
* CI keyless cert TTL: 10 minutes (Fulcio default). ([Sigstore][5])
|
||||
* Bundle cadence: monthly (or per release); retain N=24 months.
|
||||
|
||||
---
|
||||
|
||||
### 5) Offline / air‑gapped verification
|
||||
|
||||
* Mirror the image + attestation + Rekor proof (or bundle) into the disconnected registry. Verify with `cosign verify` using the mirrored materials—no internet needed. (Multiple guides show fully disconnected OpenShift/air‑gapped flows.) ([Red Hat Developer][6])
|
||||
|
||||
---
|
||||
|
||||
### 6) Address common concerns (“myths”)
|
||||
|
||||
* “Short‑lived certs will break verification later.” → They don’t: you verify against the Rekor proof/bundle, not live cert validity. ([Trustification][4])
|
||||
* “Keyless means less security.” → The opposite: no static secrets in CI; certs expire in ~10 minutes; identity bound via OIDC and logged. ([Chainguard][7])
|
||||
|
||||
---
|
||||
|
||||
### Minimal rollout checklist
|
||||
|
||||
* [ ] Enable OIDC on your CI runners; test `cosign sign --identity-token ...`
|
||||
* [ ] Enforce identity/issuer in policy: `--certificate-identity` + `--certificate-oidc-issuer` at verify time. ([Sigstore][2])
|
||||
* [ ] Set up a monthly job to build **Sigstore bundles** from past attestations and re‑sign with the org key. ([Trustification][4])
|
||||
* [ ] For offline sites: mirror images + attestations + bundles; verify with `cosign verify` entirely offline. ([Red Hat Developer][6])
|
||||
|
||||
Want me to draft the exact cosign commands and a GitLab/GitHub Actions snippet for your Stella Ops pipelines (keyless sign, verify gates, monthly bundling, and an offline verification playbook)?
|
||||
|
||||
[1]: https://blog.sigstore.dev/trusted-time/?utm_source=chatgpt.com "Trusted Time in Sigstore"
|
||||
[2]: https://docs.sigstore.dev/cosign/verifying/verify/?utm_source=chatgpt.com "Verifying Signatures - Cosign"
|
||||
[3]: https://artifacthub.io/packages/container/cosign/cosign/latest?utm_source=chatgpt.com "cosign latest · sigstore/cosign"
|
||||
[4]: https://trustification.io/blog/?utm_source=chatgpt.com "Blog"
|
||||
[5]: https://docs.sigstore.dev/certificate_authority/overview/?utm_source=chatgpt.com "Fulcio"
|
||||
[6]: https://developers.redhat.com/articles/2025/08/27/how-verify-container-signatures-disconnected-openshift?utm_source=chatgpt.com "How to verify container signatures in disconnected OpenShift"
|
||||
[7]: https://www.chainguard.dev/unchained/life-of-a-sigstore-signature?utm_source=chatgpt.com "Life of a Sigstore signature"
|
||||
@@ -0,0 +1,61 @@
|
||||
I’m sharing this with you because your Stella Ops vision for vulnerability triage and supply‑chain context beats what many current tools actually deliver — and the differences highlight exactly where to push hard to out‑execute the incumbents.
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
**Where competitors actually land today**
|
||||
|
||||
**Snyk — reachability + continuous context**
|
||||
|
||||
* Snyk now implements *reachability analysis* that builds a call graph to determine if vulnerable code *is actually reachable by your application*. This is factored into their risk and priority scores to help teams triage what matters most, beyond just severity numbers. ([Snyk Docs][1])
|
||||
* Their model uses static program analysis combined with AI and expert curation for prioritization. ([Snyk Docs][1])
|
||||
* For ongoing monitoring, Snyk *tracks issues over time* as projects are monitored and rescanned (e.g., via CLI or integrations), updating status as new CVEs are disclosed — without needing to re‑pull unchanged images. ([Snyk Docs][1])
|
||||
|
||||
**Anchore — vulnerability annotations & VEX export**
|
||||
|
||||
* Anchore Enterprise has shipped *vulnerability annotation workflows* where users or automation can label each finding with context (“not applicable”, “mitigated”, “under investigation”, etc.) via UI or API. ([Anchore Documentation][2])
|
||||
* These annotations are exportable as *OpenVEX and CycloneDX VEX* formats so downstream consumers can consume authoritative exploitability state instead of raw scanner noise. ([Anchore][3])
|
||||
* This means Anchore customers can generate SBOM + VEX outputs that carry your curated reasoning, reducing redundant triage across the supply chain.
|
||||
|
||||
**Prisma Cloud — runtime defense**
|
||||
|
||||
* Prisma Cloud’s *runtime defense* for containers continually profiles behavior and enforces *process, file, and network rules* for running workloads — using learning models to baseline expected behavior and block/alert on anomalies. ([Prisma Cloud][4])
|
||||
* This gives security teams *runtime context* during operational incidents, not just pre‑deployment scan results — which can improve triage but is conceptually orthogonal to static SBOM/VEX artifacts.
|
||||
|
||||
**What Stella Ops should out‑execute**
|
||||
|
||||
Instead of disparate insights, Stella Ops can unify and elevate:
|
||||
|
||||
1. **One triage canvas with rich evidence**
|
||||
|
||||
* Combine static *reachability/evidence graphs* with call stacks and evidence traces — so users see *why* a finding matters, not just “reachable vs. not”.
|
||||
* If you build this as a subgraph panel, teams can trace from SBOM → code paths → runtime indicators.
|
||||
|
||||
2. **VEX decisioning as first‑class**
|
||||
|
||||
* Treat VEX not as an export format but as *core policy objects*: policies that can *explain*, *override*, and *drive decisions*.
|
||||
* This includes programmable policy rules driving whether something is actionable or suppressed in a given context — surfacing context alongside triage.
|
||||
|
||||
3. **Attestable exception objects**
|
||||
|
||||
* Model exceptions as *attestable contracts* with *expiries and audit trails* — not ad‑hoc labels. These become first‑class artifacts that can be cryptographically attested, shared, and verified across orgs.
|
||||
|
||||
4. **Offline replay packs for air‑gapped parity**
|
||||
|
||||
* Build *offline replay packs* so the *same UI, interactions, and decisions* work identically in fully air‑gapped environments.
|
||||
* This is critical for compliance/defense customers who cannot connect to external feeds but still need consistent triage and reasoning workflows.
|
||||
|
||||
In short, competitors give you pieces — reachability scores, VEX exports, or behavioral runtime signals — but Stella Ops can unify these into *a single, evidence‑rich, policy‑driven triage experience that works both online and offline*. You already have the architecture to do it; now it’s about integrating these signals into a coherent decision surface that beats siloed tools.
|
||||
|
||||
[1]: https://docs.snyk.io/manage-risk/prioritize-issues-for-fixing/reachability-analysis?utm_source=chatgpt.com "Reachability analysis | Snyk User Docs"
|
||||
[2]: https://docs.anchore.com/current/docs/vulnerability_management/vuln_annotations/?utm_source=chatgpt.com "Vulnerability Annotations and VEX"
|
||||
[3]: https://anchore.com/blog/anchore-enterprise-5-23-cyclonedx-vex-and-vdr-support/?utm_source=chatgpt.com "Anchore Enterprise 5.23: CycloneDX VEX and VDR Support"
|
||||
[4]: https://docs.prismacloud.io/en/compute-edition/30/admin-guide/runtime-defense/runtime-defense-containers?utm_source=chatgpt.com "Runtime defense for containers - Prisma Cloud Documentation"
|
||||
|
||||
--
|
||||
Note from the the product manager. Note there is AdvisoryAI module on the Stella Ops suite
|
||||
@@ -0,0 +1,56 @@
|
||||
Here’s a simple, high‑leverage UX pattern you can borrow from top observability tools: **treat every policy decision or reachability change as a visual diff.**
|
||||
|
||||
---
|
||||
|
||||
### Why this helps
|
||||
|
||||
* Turns opaque “why is this verdict different?” moments into **quick, explainable triage**.
|
||||
* Reduces back‑and‑forth between Security, Dev, and Audit—**everyone sees the same before/after evidence**.
|
||||
|
||||
### Core UI concept
|
||||
|
||||
* **Side‑by‑side panes**: **Before** (previous scan/policy) vs **After** (current).
|
||||
* **Graph focus**: show the dependency/reachability subgraph; **highlight added/removed/changed nodes/edges**.
|
||||
* **Evidence strip** (right rail): human‑readable facts used by the engine (e.g., *feature flag OFF*, *code path unreachable*, *kernel eBPF trace absent*).
|
||||
* **Diff verdict header**: “Risk ↓ from *Medium → Low* (policy v1.8 → v1.9)”.
|
||||
* **Filter chips**: Scope by component, package, CVE, policy rule, environment.
|
||||
|
||||
### Minimal data model (so UI is easy)
|
||||
|
||||
* `GraphSnapshot`: nodes, edges, metadata (component, version, tags).
|
||||
* `PolicySnapshot`: version, rules hash, inputs (flags, env, VEX sources).
|
||||
* `Delta`: `added/removed/changed` for nodes, edges, and rule outcomes.
|
||||
* `EvidenceItems[]`: typed facts (trace hits, SBOM lines, VEX claims, config values) with source + timestamp.
|
||||
* `SignedDeltaVerdict`: final status + signatures (who/what produced it).
|
||||
|
||||
### Micro‑interactions that matter
|
||||
|
||||
* Hover a changed node ⇒ **inline badge** explaining *why it changed* (e.g., “now gated by `--no-xml` runtime flag”).
|
||||
* Click a rule change in the right rail ⇒ **spotlight** the exact subgraph it affected.
|
||||
* Toggle **“explain like I’m new”** ⇒ expands jargon into plain language.
|
||||
* One‑click **“copy audit bundle”** ⇒ exports the delta + evidence as an attachment.
|
||||
|
||||
### Where this belongs in your product
|
||||
|
||||
* **Primary**: in the **Triage** view for any new finding/regression.
|
||||
* **Secondary**: in **Policy history** (compare vX vs vY) and **Release gates** (compare build A vs build B).
|
||||
* **Inline surfaces**: small “diff pills” next to every verdict in tables; click opens the big side‑by‑side.
|
||||
|
||||
### Quick build checklist (dev & PM)
|
||||
|
||||
* Compute a stable **graph hash** per scan; store **snapshots**.
|
||||
* Add a **delta builder** that outputs `added/removed/changed` at node/edge + rule outcome levels.
|
||||
* Normalize **evidence items** (source, digest, excerpt) so the UI can render consistent cards.
|
||||
* Ship a **Signed Delta Verdict** (OCI‑attached) so audits can replay the view from the artifact alone.
|
||||
* Include **hotkeys**: `1` focus changes only, `2` show full graph, `E` expand evidence, `A` export audit.
|
||||
|
||||
### Empty state & failure modes
|
||||
|
||||
* If evidence is incomplete: show a **yellow “Unknowns present” ribbon** with a count and a button to collect missing traces.
|
||||
* If graphs are huge: default to **“changed neighborhood only”** with a mini‑map to pan.
|
||||
|
||||
### Success metric (simple)
|
||||
|
||||
* **Mean time to explain (MTTE)**: time from “why did this change?” to user clicking *“Understood”*. Track trend ↓.
|
||||
|
||||
If you want, I can sketch a quick wireframe (header, graph panes, evidence rail, and the export action) or generate a JSON schema for the `Delta` and `EvidenceItem` objects you can hand to your frontend.
|
||||
Reference in New Issue
Block a user