product advisories add change contiang folder
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Here’s a compact, practical blueprint for a **binary‑fingerprint store + trust‑scoring engine** that lets you quickly tell whether a system binary is patched, backported, or risky—even fully offline.
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# Why this matters (plain English)
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Package versions lie (backports!). Instead of trusting names like `libssl 1.1.1k`, we trust **what’s inside**: build IDs, section hashes, compiler metadata, and signed provenance. With that, we can answer: *Is this exact binary known‑good, known‑bad, or unknown—on this distro, on this date, with these patches?*
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---
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# Core concept
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* **Binary Fingerprint** = tuple of:
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* **Build‑ID** (ELF/PE), if present.
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* **Section‑level hashes** (e.g., `.text`, `.rodata`, selected function ranges).
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* **Compiler/Linker metadata** (vendor/version, LTO flags, PIE/RELRO, sanitizer bits).
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* **Symbol graph sketch** (optional, min‑hash of exported symbol names + sizes).
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* **Feature toggles** (FIPS mode, CET/CFI present, Fortify level, RELRO type, SSP).
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* **Provenance Chain** (who built it): Upstream → Distro vendor (with patchset) → Local rebuild.
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* **Trust Score**: combines provenance weight + cryptographic attestations + “golden set” matches + observed patch deltas.
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---
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# Minimal architecture (fits Stella Ops style)
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1. **Ingesters**
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* `ingester.distro`: walks repo mirrors or local systems, extracts ELF/PE, computes fingerprints, captures package→file mapping, vendor patch metadata (changelog, source SRPM diffs).
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* `ingester.upstream`: indexes upstream releases, commit tags, and official build artifacts.
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* `ingester.local`: indexes CI outputs (your own builds), in‑toto/DSSE attestations if available.
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2. **Fingerprint Store (offline‑ready)**
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* **Primary DB**: PostgreSQL (authoritative).
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* **Accelerator**: Valkey (ephemeral) for fast lookup by Build‑ID and section hash prefixes.
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* **Bundle Export**: signed, chunked SQLite/Parquet packs for air‑gapped sites.
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3. **Trust Engine**
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* Scores (0–100) per binary instance using:
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* Provenance weight (Upstream signed > Distro signed > Local unsigned).
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* Attestation presence/quality (in‑toto/DSSE, reproducible build stamp).
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* Patch alignment vs **Golden Set** (reference fingerprints for “fixed” and “vulnerable” builds).
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* Hardening baseline (RELRO/PIE/SSP/CET/CFI).
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* Divergence penalty (unexpected section deltas vs vendor‑declared patch).
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* Emits **Verdict**: `Patched`, `Likely Patched (Backport)`, `Unpatched`, `Unknown`, with rationale.
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4. **Query APIs**
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* `/lookup/by-buildid/{id}`
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* `/lookup/by-hash/{algo}/{prefix}`
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* `/classify` (batch): accepts an SBOM file list or live filesystem scan.
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* `/explain/{fingerprint}`: returns diff vs Golden Set and the proof trail.
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---
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# Data model (tables you can lift into Postgres)
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* `artifact`
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`(artifact_id PK, file_sha256, size, mime, elf_machine, pe_machine, ts, signers[])`
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* `fingerprint`
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`(fp_id PK, artifact_id, build_id, text_hash, rodata_hash, sym_sketch, compiler_vendor, compiler_ver, lto, pie, relro, ssp, cfi, cet, flags jsonb)`
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* `provenance`
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`(prov_id PK, fp_id, origin ENUM('upstream','distro','local'), vendor, distro, release, package, version, source_commit, patchset jsonb, attestation_hash, attestation_quality_score)`
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* `golden_set`
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`(golden_id PK, package, cve, status ENUM('fixed','vulnerable'), fp_ref, method ENUM('vendor-advisory','diff-sig','function-patch'), notes)`
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* `trust_score`
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`(fp_id, score int, verdict, reasons jsonb, computed_at)`
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Indexes: `(build_id)`, `(text_hash)`, `(rodata_hash)`, `(package, version)`, GIN on `patchset`, `reasons`.
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---
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# How detection works (fast path)
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1. **Exact match**
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Build‑ID hit → join `golden_set` → return verdict + reason.
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2. **Near match (backport mode)**
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No Build‑ID match → compare `.text`/`.rodata` and function‑range hashes against “fixed” Golden Set:
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* If patched function ranges match, mark **Likely Patched (Backport)**.
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* If vulnerable function ranges match, mark **Unpatched**.
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3. **Heuristic fallback**
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Symbol sketch + compiler metadata + hardening flags narrow candidate set; compute targeted function hashes only (don’t hash the whole file).
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---
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# Building the “Golden Set”
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* Sources:
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* Vendor advisories (per‑CVE “fixed in” builds).
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* Upstream tags containing the fix commit.
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* Distro SRPM diffs for backports (extract exact hunk regions; compute function‑range hashes pre/post).
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* Store **both**:
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* “Fixed” fingerprints (post‑patch).
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* “Vulnerable” fingerprints (pre‑patch).
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* Annotate evidence method:
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* `vendor-advisory` (strong), `diff-sig` (strong if clean hunk), `function-patch` (targeted).
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---
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# Trust scoring (example)
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* Base by provenance:
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* Upstream + signed + reproducible: **+40**
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* Distro signed with changelog & SRPM diff: **+30**
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* Local unsigned: **+10**
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* Attestations:
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* Valid DSSE + in‑toto chain: **+20**
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* Reproducible build proof: **+10**
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* Golden Set alignment:
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* Matches “fixed”: **+20**
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* Matches “vulnerable”: **−40**
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* Partial (patched functions match, rest differs): **+10**
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* Hardening:
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* PIE/RELRO/SSP/CET/CFI each **+2** (cap +10)
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* Divergence penalties:
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* Unexplained text‑section drift **−10**
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* Suspicious toolchain fingerprint **−5**
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Verdict bands: `≥80 Patched`, `65–79 Likely Patched (Backport)`, `35–64 Unknown`, `<35 Unpatched`.
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---
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# CLI outline (Stella Ops‑style)
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```bash
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# Index a filesystem or package repo
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stella-fp index /usr/bin /lib --out fp.db --bundle out.bundle.parquet
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# Score a host (offline)
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stella-fp classify --fp-store fp.db --golden golden.db --out verdicts.json
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# Explain a result
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stella-fp explain --fp <fp_id> --golden golden.db
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# Maintain Golden Set
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stella-fp golden add --package openssl --cve CVE-2023-XXXX --status fixed --from-srpm path.src.rpm
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stella-fp golden add --package openssl --cve CVE-2023-XXXX --status vulnerable --from-upstream v1.1.1k
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```
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---
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# Implementation notes (ELF/PE)
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* **ELF**: read Build‑ID from `.note.gnu.build-id`; hash `.text` and selected function ranges (use DWARF/eh_frame or symbol table when present; otherwise lightweight linear‑sweep with sanity checks). Record RELRO/PIE from program headers.
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* **PE**: use Debug Directory (GUID/age) and Section Table; capture CFG/ASLR/NX/GS flags.
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* **Function‑range hashing**: normalize NOPs/padding, zero relocation slots, mask address‑relative operands (keeps hashes stable across vendor rebuilds).
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* **Performance**: cache per‑section hash; only compute function hashes when near‑match needs confirmation.
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---
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# How this plugs into your world
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* **Sbomer/Vexer**: attach trust scores & verdicts to components in CycloneDX/SPDX; emit VEX statements like “Fixed by backport: evidence=diff‑sig, source=Astra/RedHat SRPM.”
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* **Feedser**: when CVE feed says “vulnerable by version,” override with binary proof from Golden Set.
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* **Policy Engine**: gate deployments on `verdict ∈ {Patched, Likely Patched}` OR `score ≥ 65`.
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---
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# Next steps you can action today
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1. Create schemas above in Postgres; scaffold a small `stella-fp` Go/.NET tool to compute fingerprints for `/bin`, `/lib*` on one reference host (e.g., Debian + Alpine).
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2. Hand‑curate a **pilot Golden Set** for 3 noisy CVEs (OpenSSL, glibc, curl). Store both pre/post patch fingerprints and 2–3 backported vendor builds each.
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3. Wire a `classify` step into your CI/CD and surface the **verdict + rationale** in your VEX output.
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If you want, I can drop in starter code (C#/.NET 10) for the fingerprint extractor and the Postgres schema migration, plus a tiny “function‑range hasher” that masks relocations and normalizes padding.
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