feat(cra): cyber-meets-safety bridge as real logic (step 2)
Deterministic bridge (cra_safety_bridge.py): a cyber finding's attack capability (remote_actuation / code_tampering / integrity_loss / auth_bypass, derived from its CRA category) is matched against what each CE safety function is vulnerable to. A match re-opens the mitigated hazard, flags the finding safety_impact (which floors it to P0), and produces the cross-link. Endpoint accepts safety_functions; frontend passes the project's safety functions and renders the LIVE cross-links (no more hardcode). Safety functions are demo input now; come from the CE risk assessment in production. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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@@ -32,14 +32,28 @@ class FindingIn(BaseModel):
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exploited: Optional[bool] = False
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class SafetyFunctionIn(BaseModel):
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name: str
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hazard: Optional[str] = ""
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original_measure: Optional[str] = ""
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kind: Optional[str] = "" # prevent_unexpected_actuation | signal_integrity
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vulnerable_to: Optional[List[str]] = None
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class AssessRequest(BaseModel):
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findings: List[FindingIn]
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# customer priorities for the discretionary tier: {objective: high|medium|low}.
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# objectives: access | data | network_api | supply_updates | monitoring.
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weights: Optional[Dict[str, str]] = None
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# CE-risk-assessment safety functions for the cyber-meets-safety bridge.
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safety_functions: Optional[List[SafetyFunctionIn]] = None
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@router.post("/assess")
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async def assess(body: AssessRequest):
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payload = {"findings": [f.model_dump() for f in body.findings], "weights": body.weights}
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payload = {
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"findings": [f.model_dump() for f in body.findings],
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"weights": body.weights,
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"safety_functions": [s.model_dump() for s in body.safety_functions] if body.safety_functions else None,
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}
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return assess_findings_payload(payload)
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@@ -16,6 +16,7 @@ from typing import Optional
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from compliance.api.cra_annex_i_data import ANNEX_I_REQUIREMENTS, MEASURES, DEADLINES
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from compliance.services.cra_security_crosswalk import security_refs_for
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from compliance.services.cra_prioritizer import prioritize, OBJECTIVES
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from compliance.services.cra_safety_bridge import build_cross_links
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_REQ_INDEX = {r["req_id"]: r for r in ANNEX_I_REQUIREMENTS}
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_SEV_ORDER = {"LOW": 1, "MEDIUM": 2, "HIGH": 3, "CRITICAL": 4}
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@@ -120,6 +121,7 @@ class CRAAssessment:
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coverage_pct: float = 0.0
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quick_wins: list = field(default_factory=list) # finding_ids: high impact, low effort
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objectives: list = field(default_factory=lambda: list(OBJECTIVES))
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cross_links: list = field(default_factory=list) # cyber-meets-safety bridge
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deadlines: list = field(default_factory=lambda: list(DEADLINES))
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@@ -197,13 +199,21 @@ def map_finding(f: ScannerFinding) -> MappedFinding:
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)
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def assess_findings(findings: list, weights=None) -> CRAAssessment:
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def assess_findings(findings: list, weights=None, safety_functions=None) -> CRAAssessment:
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"""Map findings to a deterministic CRA assessment, then prioritise them.
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weights: {objective: 'high'|'medium'|'low'} — the customer's priorities for
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the discretionary tier (the P0 floor ignores them).
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weights: {objective: 'high'|'medium'|'low'} — customer priorities for the
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discretionary tier (the P0 floor ignores them).
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safety_functions: CE-risk-assessment safety functions for the cyber-meets-
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safety bridge; a finding that can defeat one is flagged safety_impact (→ P0).
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"""
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mapped = prioritize([map_finding(f) for f in findings], weights)
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mapped = [map_finding(f) for f in findings]
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cross_links = build_cross_links(mapped, safety_functions)
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flagged = {fid for cl in cross_links for fid in cl["cyber_finding_ids"]}
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for m in mapped:
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if m.finding_id in flagged:
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m.safety_impact = True
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mapped = prioritize(mapped, weights)
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by_risk = {"CRITICAL": 0, "HIGH": 0, "MEDIUM": 0, "LOW": 0}
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reqs_touched, measure_ids, unmapped = set(), [], []
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for m in mapped:
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@@ -226,6 +236,7 @@ def assess_findings(findings: list, weights=None) -> CRAAssessment:
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unmapped_findings=unmapped,
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coverage_pct=round(100.0 * covered / total, 1) if total else 0.0,
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quick_wins=[m.finding_id for m in mapped if m.quick_win],
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cross_links=cross_links,
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)
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@@ -236,6 +247,7 @@ def assess_findings_payload(payload: dict) -> dict:
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"""
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raw = payload.get("findings", []) if isinstance(payload, dict) else []
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weights = payload.get("weights") if isinstance(payload, dict) else None
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safety_functions = payload.get("safety_functions") if isinstance(payload, dict) else None
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findings = [ScannerFinding.from_dict(d) for d in raw]
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assessment = assess_findings(findings, weights)
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assessment = assess_findings(findings, weights, safety_functions)
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return asdict(assessment) # recurses into nested MappedFinding dataclasses
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@@ -0,0 +1,77 @@
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"""Cyber-meets-Safety bridge — deterministic, replaces the demo hardcode.
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Links a cyber finding to a CE-risk-assessment safety function it can DEFEAT, by
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matching the finding's attack *capability* against what the safety function is
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*vulnerable to*. A match means: the cyber finding re-opens a hazard that was
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considered mitigated → it must surface in the CE risk assessment (Machinery Reg
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2023/1230) and is flagged safety_impact (which feeds the P0 priority floor).
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Capabilities are derived from the finding's CRA Annex I category (deterministic,
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no LLM). Safety functions come from the project's CE risk assessment (passed in);
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for the demo they are supplied as scenario input. Output matches the frontend
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CrossLink shape.
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"""
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from compliance.api.cra_annex_i_data import ANNEX_I_REQUIREMENTS
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_REQ = {r["req_id"]: r for r in ANNEX_I_REQUIREMENTS}
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# CRA Annex I category -> attack capabilities the finding grants.
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_CATEGORY_CAPABILITIES = {
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"Secure-by-Design": {"remote_actuation", "code_tampering"},
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"Authentifizierung": {"auth_bypass", "remote_actuation"},
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"Kryptografie": {"integrity_loss"},
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"Supply Chain": {"code_tampering"},
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"Updates": {"code_tampering", "integrity_loss"},
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}
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# Safety-function kind -> the capabilities that defeat it.
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_SF_KIND_VULN = {
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"prevent_unexpected_actuation": {"remote_actuation", "code_tampering", "auth_bypass"},
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"signal_integrity": {"integrity_loss", "code_tampering"},
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}
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_CAP_LABEL = {
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"remote_actuation": "Fern-Auslösung",
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"code_tampering": "manipulierte Firmware/Software",
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"integrity_loss": "manipulierte Signale/Parameter",
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"auth_bypass": "Authentifizierungs-Umgehung",
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}
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def capabilities_for(mapped) -> set:
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req = _REQ.get(getattr(mapped, "primary_requirement", ""), {})
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return set(_CATEGORY_CAPABILITIES.get(req.get("category", ""), set()))
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def build_cross_links(mapped_list: list, safety_functions: list) -> list:
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"""For each safety function, collect the cyber findings that can defeat it.
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safety_functions: [{name, hazard, original_measure, kind|vulnerable_to}].
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Returns CrossLink dicts; empty if nothing matches.
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"""
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out = []
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for sf in safety_functions or []:
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vuln = set(sf.get("vulnerable_to") or _SF_KIND_VULN.get(sf.get("kind", ""), set()))
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if not vuln:
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continue
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hits, caps = [], set()
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for m in mapped_list:
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inter = capabilities_for(m) & vuln
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if inter:
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hits.append(getattr(m, "finding_id", ""))
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caps |= inter
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if not hits:
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continue
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cap_txt = ", ".join(sorted(_CAP_LABEL.get(c, c) for c in caps))
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out.append({
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"cyber_finding_ids": hits,
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"safety_hazard": sf.get("hazard", ""),
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"safety_ref": sf.get("name", ""),
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"original_measure": sf.get("original_measure", ""),
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"cyber_breaks_it": (
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"Über {} können die Cyber-Befunde diese Schutzfunktion aushebeln — "
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"die mechanisch gemilderte Gefährdung ist wieder offen.".format(cap_txt)
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),
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"residual": "offen",
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})
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return out
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