rebreak-monorepo/backend/server/utils/mail-classifier.ts
chahinebrini bdd93668ae feat(mail): multi-layer classifier — Brand+Random, Relay-Decoder, Score, Groq + ML-Sampling
Layer 0–4 Klassifikations-Pipeline in mail-classifier.ts:
- Layer 2: Domain-Hard-Block + Relay-Decoder (=domain.tld aus SendGrid/Mailchimp-Bounces)
- Layer 2.5: Brand+Random-Token-Hard-Block (Gambling-Brand-Normalisierung + Random-Token-Detection)
  verhindert LLM-Call für bekannte Gambling-Relayer (Gamblezen, BetandPlay etc.)
- Layer 3: Score 0–100 (TS-Gewichte: Domain-Keywords, Subject-Keywords, Name-Match,
  Geld-Pattern, Urgency, All-Caps, Short-Random-Domain, Brand/Random-Ergänzungen)
- Layer 4: Groq Llama 3.3 70B Borderline-Klassifikation (Score 25–75)
  mit Local-Part-Redaction (DSGVO: nur behalten wenn local-part selbst Keyword enthält)
- Layer 5: MailClassificationSample-Insert nach jeder Klassifikation (ML-Phase 3)

Migrations:
- 20260514_add_mail_blocked_trigger_source: ADD COLUMN trigger_source auf mail_blocked
- 20260514_add_mail_classification_sample: CREATE TABLE mail_classification_samples

50 neue Tests (mail-classifier.test.ts): alle Layer, beide Screenshot-Beispiele (Gamblezen +
BetandPlay) bestätigt als Layer-2.5-Hard-Block ohne LLM-Call, Whitelist, Score, Redaction.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-14 22:05:35 +02:00

658 lines
23 KiB
TypeScript
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

/**
* Mail-Klassifikations-Pipeline (Layer 04 + Sample-Capture).
*
* Architektur:
* Layer 0 — Skip-Guard (bereits geblockt / kein Consent)
* Layer 1 — Whitelist (wetter, wettkampf …) → PASS
* Layer 2 — Domain-Hard-Block (Blocklist)
* Layer 2.5 — Brand+Random-Token-Detection (Hard-Block ohne LLM)
* Layer 3 — Score 0100 (deterministisch)
* Layer 4 — Groq-Borderline (Score 2575, mit Local-Part-Redact)
* Layer 5 — MailClassificationSample-Insert (immer, außer Layer 0)
*
* Alle Layer-Logiken sind pure Funktionen → vollständig unit-testbar ohne DB-Mocks.
*
* DSGVO-Hinweise:
* - Mail-Inhalte (Body) werden nie persistiert (Art. 9).
* - Local-Part der Sender-Adresse wird vor dem Groq-Call redacted
* (es sei denn, er enthält selbst Casino-Keywords — dann ist er Detection-Signal).
* - userId in Logs nur wenn absolut nötig (Datenminimierung Art. 5).
* - MailClassificationSample: Cascade-Delete via userId-Relation (Art. 17).
*/
// eslint-disable-next-line @typescript-eslint/ban-ts-comment
// @ts-ignore — .mjs ohne types, Exports sind string[]
import { GAMBLING_KEYWORDS, GAMBLING_WHITELIST } from "./gambling-keywords.mjs";
// ─── Typen ─────────────────────────────────────────────────────────────────────
export type ClassificationAction = "blocked" | "passed";
export type TriggerSource =
| "domain"
| "relay-decoded"
| "brand+random"
| `score:${number}`
| `llm:${string}`
| "whitelist"
| "no-signal";
export interface MailInput {
/** Sender-E-Mail-Adresse (lowercase, wie von IMAP geliefert) */
senderEmail: string;
/** Display-Name des Absenders (kann leer sein) */
senderName: string | null;
/** Betreff-Zeile */
subject: string;
}
export interface ClassificationResult {
action: ClassificationAction;
triggerSource: TriggerSource;
score: number;
/** Aus Relay-Adressen extrahierte echte Domain (z.B. gamblezen.com) */
relayDecodedDomain: string | null;
/** Groq-Verdict (nur wenn Layer 4 lief) */
groq?: {
isGambling: boolean;
confidence: number;
reason: string;
};
/** Score-Komponenten für MailClassificationSample.features */
features: ClassificationFeatures;
}
export interface ClassificationFeatures {
score: number;
domainBlocked: boolean;
relayDecoded: boolean;
brandMatch: boolean;
randomTokens: boolean;
keywordHitsSubject: string[];
keywordHitsDomain: string[];
keywordHitsName: string[];
styleFlags: string[];
whitelistHit: boolean;
}
// ─── Score-Weights (TS-Constants, kein Config-File-Overhead) ──────────────────
export const SCORE_WEIGHTS = {
// Domain-Indikatoren
DOMAIN_GAMBLING_KEYWORD: 40, // Domain enthält Gambling-Begriff (bet, casino, slots …)
DOMAIN_SHORT_RANDOM: 15, // Domain-Root < 6 Zeichen und zufällig wirkend (betx, 1win)
// Subject-Indikatoren
SUBJECT_GAMBLING_KEYWORD: 35, // Keyword im Betreff (casino, jackpot, freispiel …)
SUBJECT_MONEY_PATTERN: 20, // €/$ + Zahl (z.B. "100€ Bonus")
SUBJECT_URGENCY: 15, // "Nur heute", "Letzte Chance", "Ablaufdatum"
SUBJECT_ALL_CAPS_WORD: 5, // EINZELNES ALL-CAPS-WORT im Betreff
// Display-Name-Indikatoren
SENDER_NAME_GAMBLING_KEYWORD: 30, // Gambling-Begriff im Absender-Namen
SENDER_NAME_BRAND_MATCH: 20, // Name matcht bekannten Gambling-Brand (normalisiert)
// Layer 2.5 Score-Ergänzungen (wenn kein Hard-Block ausgelöst)
BRAND_MATCH_NO_RANDOM: 35, // Brand-Match ohne Random-Tokens (kein Hard-Block)
RANDOM_TOKENS_NO_BRAND: 10, // Random-Tokens ohne Brand-Match
} as const;
// Hard-Block-Threshold: Score >= 80 → BLOCK ohne LLM
const SCORE_HARD_BLOCK_THRESHOLD = 80;
// Borderline-Range: 2575 → Groq-Call
const SCORE_BORDERLINE_LOW = 25;
const SCORE_BORDERLINE_HIGH = 75;
// ─── Bekannte Gambling-Brands (für Brand-Match-Normalisierung) ─────────────────
// Abgeleitet aus GAMBLING_KEYWORDS + typischen Blocklist-Domains.
// Normalisierungsregel: lowercase, alle Sonder- und Leerzeichen entfernt.
const GAMBLING_BRANDS: string[] = [
"casino", "bet365", "bwin", "tipico", "unibet", "betway", "888casino",
"pokerstars", "interwetten", "netbet", "leovegas", "mrgreen",
"betsson", "neobet", "mybet", "lottoland", "betano", "williamhill",
"paddypower", "betfair", "stake", "rolletto", "vbet", "1xbet", "melbet",
"mostbet", "luckyvibe", "spinz", "casinoly", "rabona",
"justcasino", "getslots", "rocketplay", "freshcasino",
"nomnomcasino", "gamblezen", "betandplay",
];
// ─── Relay-Decoder ─────────────────────────────────────────────────────────────
/**
* Extrahiert die echte Ziel-Domain aus einer E-Mail-Relay-Adresse.
*
* Muster die wir kennen:
* bounces+user=example.com@sendgrid.net → example.com
* track.user=gamblezen.com@mailchimp.com → gamblezen.com
* a1b2c3_user_at_betandplay.com@em.em.xyz → betandplay.com
* user=betandplay.com@bounce.em.example → betandplay.com
*
* Pattern: Sucht nach `=domain.tld` oder `_at_domain.tld` im local-part.
*/
export function extractRelayedDomain(senderEmail: string): string | null {
if (!senderEmail.includes("@")) return null;
const [localPart] = senderEmail.split("@");
// Pattern 1: user=domain.tld (SendGrid, Mailchimp, SES-Bounces)
const eqMatch = localPart.match(/=([a-z0-9][\w-]*\.[a-z]{2,}(?:\.[a-z]{2,})?)(?:[+_&]|$)/i);
if (eqMatch) return eqMatch[1].toLowerCase();
// Pattern 2: _at_domain.tld (weniger häufig, einige Custom-Relay-Setups)
const atMatch = localPart.match(/_at_([a-z0-9][\w-]*\.[a-z]{2,}(?:\.[a-z]{2,})?)(?:[_+]|$)/i);
if (atMatch) return atMatch[1].toLowerCase();
return null;
}
// ─── Brand-Normalisierung ──────────────────────────────────────────────────────
/**
* Normalisiert einen String für Brand-Vergleiche.
* "BetandPlay" → "betandplay", "bet-and-play.com" → "betandplay" (nach Strip)
*/
export function normalizeBrand(s: string): string {
return s.toLowerCase().replace(/[\s\-._]/g, "");
}
/**
* Prüft ob ein normalisierter String mit einem bekannten Gambling-Brand übereinstimmt.
* Mindestlänge 4 Zeichen um False-Positives zu vermeiden ("bet" alleine → zu kurz).
*/
export function matchesGamblingBrand(normalized: string): boolean {
if (normalized.length < 4) return false;
return GAMBLING_BRANDS.some((brand) => normalized === brand || normalized.includes(brand));
}
/**
* Extrahiert Brand-Kandidaten aus einer Domain für den Match-Check.
* "betand-play.com" → ["betandplay", "betand"] (root + normalisiert)
*/
function domainToBrandCandidates(domain: string): string[] {
const root = domain.split(".")[0] ?? "";
return [normalizeBrand(root), normalizeBrand(domain)];
}
// ─── Random-Token-Detection ───────────────────────────────────────────────────
/**
* Erkennt zufällig wirkende Tokens im Local-Part einer E-Mail-Adresse.
*
* Definition "random token": >= 6 Zeichen, Mix aus Buchstaben + Ziffern,
* kein bekanntes Funktions-Wort (info, admin, noreply, support …).
*
* Ein Local-Part mit >= 2 solchen Tokens gilt als "random-looking" —
* typisch für Massen-Mailer mit trackierbaren User-IDs.
*/
export function hasRandomTokens(localPart: string): boolean {
const FUNCTION_WORDS = new Set([
"info", "admin", "noreply", "no-reply", "support", "hello",
"news", "marketing", "sales", "contact", "newsletter", "service",
"offers", "promotions", "promo", "team", "mail", "email",
"reply", "bounce", "return", "postmaster", "mailer",
]);
const tokens = localPart.split(/[_\-.+]+/);
const randomLooking = tokens.filter((t) => {
if (t.length < 6) return false;
if (!/[a-z]/i.test(t) || !/[0-9]/.test(t)) return false; // muss Letters+Digits haben
const lower = t.toLowerCase();
if (FUNCTION_WORDS.has(lower)) return false;
return true;
});
return randomLooking.length >= 2;
}
// ─── Local-Part-Redaction ─────────────────────────────────────────────────────
/**
* Redacted den Local-Part einer E-Mail-Adresse vor dem Groq-Call (DSGVO).
*
* AUSNAHME: wenn der Local-Part selbst Gambling-Keywords enthält
* (z.B. "casino_offers_abc123@mailer.com"), bleibt er erhalten —
* er ist in diesem Fall ein Klassifikations-Signal, kein PII.
*/
export function redactLocalPartForLLM(
senderEmail: string,
localPartHasKeyword: boolean,
): string {
if (localPartHasKeyword) return senderEmail;
const atIdx = senderEmail.indexOf("@");
if (atIdx === -1) return senderEmail;
return `***${senderEmail.slice(atIdx)}`;
}
// ─── Score-Berechnung (Layer 3) ───────────────────────────────────────────────
interface ScoreResult {
score: number;
keywordHitsSubject: string[];
keywordHitsDomain: string[];
keywordHitsName: string[];
styleFlags: string[];
whitelistHit: boolean;
}
export function computeScore(
senderEmail: string,
senderName: string | null,
subject: string,
brandMatchFound: boolean,
randomTokensFound: boolean,
): ScoreResult {
let score = 0;
const keywordHitsSubject: string[] = [];
const keywordHitsDomain: string[] = [];
const keywordHitsName: string[] = [];
const styleFlags: string[] = [];
const subjectLower = subject.toLowerCase();
const senderEmailLower = senderEmail.toLowerCase();
const senderNameLower = (senderName ?? "").toLowerCase();
const domain = senderEmailLower.split("@")[1] ?? "";
const domainRoot = domain.split(".")[0] ?? "";
// ── Whitelist-Check (Layer 1) ──
for (const w of GAMBLING_WHITELIST as string[]) {
if (subjectLower.includes(w) || senderEmailLower.includes(w) || senderNameLower.includes(w)) {
return {
score: 0,
keywordHitsSubject: [],
keywordHitsDomain: [],
keywordHitsName: [],
styleFlags: [],
whitelistHit: true,
};
}
}
// ── Domain-Keywords ──
for (const kw of GAMBLING_KEYWORDS as string[]) {
if (domain.includes(kw) || domainRoot.includes(kw)) {
keywordHitsDomain.push(kw);
score += SCORE_WEIGHTS.DOMAIN_GAMBLING_KEYWORD;
break; // einmal reicht
}
}
// ── Subject-Keywords ──
for (const kw of GAMBLING_KEYWORDS as string[]) {
if (subjectLower.includes(kw)) {
keywordHitsSubject.push(kw);
score += SCORE_WEIGHTS.SUBJECT_GAMBLING_KEYWORD;
break;
}
}
// ── Sender-Name-Keywords ──
for (const kw of GAMBLING_KEYWORDS as string[]) {
if (senderNameLower.includes(kw)) {
keywordHitsName.push(kw);
score += SCORE_WEIGHTS.SENDER_NAME_GAMBLING_KEYWORD;
break;
}
}
// ── Geld-Pattern im Betreff (€/$ + Zahl) ──
if (/[€$£]\s*\d|\d\s*[€$£]/.test(subject)) {
styleFlags.push("money-pattern");
score += SCORE_WEIGHTS.SUBJECT_MONEY_PATTERN;
}
// ── Urgency-Wörter im Betreff ──
const URGENCY_PATTERNS = [
"nur heute", "letzte chance", "läuft ab", "ablaufdatum",
"expires", "last chance", "limited time", "jetzt einlösen",
"sofort", "nur noch", "endet heute",
];
if (URGENCY_PATTERNS.some((p) => subjectLower.includes(p))) {
styleFlags.push("urgency");
score += SCORE_WEIGHTS.SUBJECT_URGENCY;
}
// ── ALL-CAPS-Wort im Betreff ──
if (/\b[A-Z]{4,}\b/.test(subject)) {
styleFlags.push("all-caps");
score += SCORE_WEIGHTS.SUBJECT_ALL_CAPS_WORD;
}
// ── Short-Random-Domain ──
if (domainRoot.length > 0 && domainRoot.length <= 5 && /[a-z]/.test(domainRoot) && /[0-9]/.test(domainRoot)) {
styleFlags.push("short-random-domain");
score += SCORE_WEIGHTS.DOMAIN_SHORT_RANDOM;
}
// ── Layer 2.5 Score-Ergänzungen ──
if (brandMatchFound && !randomTokensFound) {
score += SCORE_WEIGHTS.BRAND_MATCH_NO_RANDOM;
}
if (!brandMatchFound && randomTokensFound) {
score += SCORE_WEIGHTS.RANDOM_TOKENS_NO_BRAND;
}
return {
score: Math.min(score, 100),
keywordHitsSubject,
keywordHitsDomain,
keywordHitsName,
styleFlags,
whitelistHit: false,
};
}
// ─── Groq-LLM-Call (Layer 4) ─────────────────────────────────────────────────
interface GroqVerdict {
isGambling: boolean;
confidence: number;
reason: string;
}
/**
* Ruft Groq Llama 3.3 70B zur Borderline-Klassifikation auf.
* Sendet NUR: senderName, senderEmail (ggf. local-part-redacted), subject.
* KEIN Mail-Body, KEINE weiteren PII.
*/
export async function callGroqClassifier(params: {
senderName: string | null;
senderEmailRedacted: string;
subject: string;
groqApiKey: string;
}): Promise<GroqVerdict> {
const prompt = `You are a spam classifier for a gambling addiction recovery app.
Classify whether this email is from a gambling/betting operator.
Sender name: ${params.senderName ?? "(none)"}
Sender email: ${params.senderEmailRedacted}
Subject: ${params.subject}
Respond with ONLY valid JSON in this exact format:
{"isGambling": true/false, "confidence": 0.0-1.0, "reason": "one sentence"}
Do not include any other text.`;
const response = await fetch("https://api.groq.com/openai/v1/chat/completions", {
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${params.groqApiKey}`,
},
body: JSON.stringify({
model: "llama-3.3-70b-versatile",
messages: [{ role: "user", content: prompt }],
temperature: 0,
max_tokens: 100,
response_format: { type: "json_object" },
}),
});
if (!response.ok) {
const errText = await response.text().catch(() => "");
throw new Error(`Groq API error ${response.status}: ${errText.slice(0, 200)}`);
}
const data = await response.json() as {
choices: { message: { content: string } }[];
};
const raw = data.choices?.[0]?.message?.content ?? "{}";
try {
const parsed = JSON.parse(raw) as Partial<GroqVerdict>;
return {
isGambling: Boolean(parsed.isGambling),
confidence: typeof parsed.confidence === "number" ? parsed.confidence : 0,
reason: typeof parsed.reason === "string" ? parsed.reason.slice(0, 300) : "",
};
} catch {
// JSON-Parse-Fehler → konservativ PASS (kein false-positive durch LLM-Fehler)
return { isGambling: false, confidence: 0, reason: "parse-error" };
}
}
// ─── Haupt-Pipeline ───────────────────────────────────────────────────────────
export interface ClassifyMailParams {
mail: MailInput;
/** Menge der geblockten Domains (aus getBlocklistedDomainsSet) */
blockedDomainSet: Set<string>;
/** Groq API Key (aus runtimeConfig) — wenn leer, Layer 4 überspringen */
groqApiKey: string;
}
/**
* Klassifiziert eine einzelne Mail durch alle Layer.
* Pure bezüglich IO — Groq-Call ist die einzige externe Abhängigkeit.
* DB-Writes (MailBlocked, MailClassificationSample) liegen beim Aufrufer.
*/
export async function classifyMail(params: ClassifyMailParams): Promise<ClassificationResult> {
const { mail, blockedDomainSet, groqApiKey } = params;
const { senderEmail, senderName, subject } = mail;
const senderEmailLower = senderEmail.toLowerCase();
const domain = senderEmailLower.split("@")[1] ?? "";
const localPart = senderEmailLower.split("@")[0] ?? "";
// ── Layer 1: Whitelist ──────────────────────────────────────────────────────
const haystack = `${senderEmailLower} ${subject} ${senderName ?? ""}`.toLowerCase();
for (const w of GAMBLING_WHITELIST as string[]) {
if (haystack.includes(w)) {
return {
action: "passed",
triggerSource: "whitelist",
score: 0,
relayDecodedDomain: null,
features: {
score: 0,
domainBlocked: false,
relayDecoded: false,
brandMatch: false,
randomTokens: false,
keywordHitsSubject: [],
keywordHitsDomain: [],
keywordHitsName: [],
styleFlags: [],
whitelistHit: true,
},
};
}
}
// ── Layer 2: Domain-Hard-Block ──────────────────────────────────────────────
if (domain && blockedDomainSet.has(domain)) {
return {
action: "blocked",
triggerSource: "domain",
score: 100,
relayDecodedDomain: null,
features: {
score: 100,
domainBlocked: true,
relayDecoded: false,
brandMatch: false,
randomTokens: false,
keywordHitsSubject: [],
keywordHitsDomain: [],
keywordHitsName: [],
styleFlags: [],
whitelistHit: false,
},
};
}
// ── Layer 2: Relay-Decoded Domain-Block ─────────────────────────────────────
const relayDecodedDomain = extractRelayedDomain(senderEmailLower);
if (relayDecodedDomain && blockedDomainSet.has(relayDecodedDomain)) {
return {
action: "blocked",
triggerSource: "relay-decoded",
score: 100,
relayDecodedDomain,
features: {
score: 100,
domainBlocked: false,
relayDecoded: true,
brandMatch: false,
randomTokens: false,
keywordHitsSubject: [],
keywordHitsDomain: [],
keywordHitsName: [],
styleFlags: [],
whitelistHit: false,
},
};
}
// ── Layer 2.5: Brand+Random-Token-Hard-Block ────────────────────────────────
// Normalisiere Absender-Name und Domain-Root für Brand-Vergleich
const displayNameNorm = normalizeBrand(senderName ?? "");
const domainCandidates = domainToBrandCandidates(domain);
const relayDomainCandidates = relayDecodedDomain ? domainToBrandCandidates(relayDecodedDomain) : [];
const allBrandCandidates = [displayNameNorm, ...domainCandidates, ...relayDomainCandidates];
const brandMatch = allBrandCandidates.some((c) => c.length >= 4 && matchesGamblingBrand(c));
const randomTokens = hasRandomTokens(localPart);
if (brandMatch && randomTokens) {
return {
action: "blocked",
triggerSource: "brand+random",
score: 100,
relayDecodedDomain,
features: {
score: 100,
domainBlocked: false,
relayDecoded: !!relayDecodedDomain,
brandMatch: true,
randomTokens: true,
keywordHitsSubject: [],
keywordHitsDomain: [],
keywordHitsName: [],
styleFlags: [],
whitelistHit: false,
},
};
}
// ── Layer 3: Score ──────────────────────────────────────────────────────────
const scoreResult = computeScore(
senderEmailLower,
senderName,
subject,
brandMatch,
randomTokens,
);
if (scoreResult.whitelistHit) {
return {
action: "passed",
triggerSource: "whitelist",
score: 0,
relayDecodedDomain,
features: {
...scoreResult,
score: 0,
domainBlocked: false,
relayDecoded: !!relayDecodedDomain,
brandMatch,
randomTokens,
},
};
}
const score = scoreResult.score;
// Score >= 80 → Hard-Block, kein LLM
if (score >= SCORE_HARD_BLOCK_THRESHOLD) {
const triggerSource: TriggerSource = `score:${score}`;
return {
action: "blocked",
triggerSource,
score,
relayDecodedDomain,
features: {
...scoreResult,
domainBlocked: false,
relayDecoded: !!relayDecodedDomain,
brandMatch,
randomTokens,
},
};
}
// Score < 25 → PASS, kein LLM
if (score < SCORE_BORDERLINE_LOW) {
return {
action: "passed",
triggerSource: "no-signal",
score,
relayDecodedDomain,
features: {
...scoreResult,
domainBlocked: false,
relayDecoded: !!relayDecodedDomain,
brandMatch,
randomTokens,
},
};
}
// ── Layer 4: Groq-Borderline (2575) ────────────────────────────────────────
if (score >= SCORE_BORDERLINE_LOW && score <= SCORE_BORDERLINE_HIGH && groqApiKey) {
// Local-Part-Redaction: nur behalten wenn er selbst Gambling-Keywords enthält
const localPartHasKeyword = (GAMBLING_KEYWORDS as string[]).some((kw: string) =>
localPart.toLowerCase().includes(kw),
);
const senderEmailRedacted = redactLocalPartForLLM(senderEmailLower, localPartHasKeyword);
let groqVerdict: GroqVerdict | null = null;
try {
groqVerdict = await callGroqClassifier({
senderName,
senderEmailRedacted,
subject,
groqApiKey,
});
} catch (err) {
// LLM-Fehler → konservativ PASS (kein false-positive durch API-Ausfall)
console.warn("[mail-classifier] Groq call failed, falling back to score-based decision:", err);
}
if (groqVerdict) {
const action: ClassificationAction = groqVerdict.isGambling ? "blocked" : "passed";
const triggerSource: TriggerSource = `llm:${groqVerdict.confidence.toFixed(2)}`;
return {
action,
triggerSource,
score,
relayDecodedDomain,
groq: groqVerdict,
features: {
...scoreResult,
domainBlocked: false,
relayDecoded: !!relayDecodedDomain,
brandMatch,
randomTokens,
},
};
}
}
// Fallback: Score 2575 ohne Groq (API-Fehler oder kein Key) → PASS bei < 50, BLOCK bei >= 50
const fallbackAction: ClassificationAction = score >= 50 ? "blocked" : "passed";
const fallbackTrigger: TriggerSource = `score:${score}`;
return {
action: fallbackAction,
triggerSource: fallbackTrigger,
score,
relayDecodedDomain,
features: {
...scoreResult,
domainBlocked: false,
relayDecoded: !!relayDecodedDomain,
brandMatch,
randomTokens,
},
};
}