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bbas-devicer
Advanced tools
Bot Blocking & Anti-Scrape Middleware for the FP-Devicer Intelligence Suite.
Developed by Gateway Corporate Solutions.
bbas-devicer enriches every DeviceManager.identify() call with a bot score and action decision — classifying each request as a real browser, a headless browser, a scraper, or a known crawler, and emitting an allow / challenge / block decision based on a configurable rule engine.
| Step | Description |
|---|---|
| UA analysis | Classifies the User-Agent string against 38 known patterns: headless browsers, scrapers, HTTP clients, and legitimate crawlers. |
| Header analysis | Checks for missing required browser headers (accept, accept-language, accept-encoding), scraper debug headers, absent sec-fetch-* headers, and suspicious header ordering. |
| Velocity | Computes a sliding-window request rate and flags devices that exceed the configured threshold. |
| Cross-plugin enrichment | On Pro/Enterprise, reads ip-devicer (Tor, VPN, proxy, hosting, AI agent) and tls-devicer / peer-devicer signals to augment the score. |
| Scoring | Produces a composite bot score (0–100) from up to 13 named factors. |
| Rule engine | Evaluates a priority-sorted rule list; first match wins. Ships with sensible defaults and supports fully custom rules. |
npm install bbas-devicer
Optional peer dependencies (install the ones matching your storage choice):
npm install better-sqlite3 # SQLite adapter
npm install ioredis # Redis adapter
npm install pg # PostgreSQL adapter
import { DeviceManager } from 'devicer.js';
import { IpManager } from 'ip-devicer';
import { TlsManager } from 'tls-devicer';
import {
BbasManager,
createBbasMiddleware,
} from 'bbas-devicer';
// ── Initialise plugins ──────────────────────────────────────
const deviceManager = new DeviceManager({ /* … */ });
const ipManager = new IpManager({ licenseKey: process.env.IP_LICENSE_KEY });
const tlsManager = new TlsManager({ licenseKey: process.env.TLS_LICENSE_KEY });
const bbasManager = new BbasManager({ licenseKey: process.env.BBAS_LICENSE_KEY });
// Register ip-devicer and tls-devicer FIRST so their enrichmentInfo
// is available when bbas-devicer runs (post-processor ordering matters).
ipManager.registerWith(deviceManager);
tlsManager.registerWith(deviceManager);
bbasManager.registerWith(deviceManager); // ← bbas runs last
await Promise.all([
ipManager.init(),
tlsManager.init(),
bbasManager.init(),
]);
// ── Express middleware ──────────────────────────────────────
app.use(createBbasMiddleware(bbasManager, { mode: 'observe' }));
// ── In your route handler ────────────────────────────────────
app.post('/identify', async (req, res) => {
const result = await deviceManager.identify(req.body, req.bbasContext);
// result.bbasEnrichment — full enrichment payload
// result.bbasDecision — 'allow' | 'challenge' | 'block'
res.json(result);
});
| Adapter | Import | Use case |
|---|---|---|
| In-memory (default) | built-in | Dev / testing / single-process |
| SQLite | createSqliteBbasStorage | Single-process production |
| PostgreSQL | createPostgresBbasStorage | Multi-process / HA |
| Redis | createRedisBbasStorage | Distributed / low-latency |
import { createSqliteBbasStorage } from 'bbas-devicer';
const bbasManager = new BbasManager({
licenseKey: process.env.BBAS_LICENSE_KEY,
storage: createSqliteBbasStorage('/data/bbas.db'),
});
The bot score is an additive sum capped at 100:
| Factor | Points | Tier |
|---|---|---|
headless_browser | 45 | Free |
known_scraper_ua | 40 | Free |
missing_browser_headers | 30 | Free |
velocity_exceeded | 25 | Free |
suspicious_header_order | 15 | Free |
known_crawler | 5 | Free |
tor_exit_node | 40 | Pro+ |
tls_mismatch | 25 | Pro+ |
vpn_proxy | 20 | Pro+ |
hosting_ip | 15 | Pro+ |
ai_agent | 15 | Pro+ |
high_peer_taint | 15 | Pro+ |
rdap_suspect | 10 | Pro+ |
Rules are evaluated in ascending priority order; first match wins.
| Rule name | Priority | Condition | Action |
|---|---|---|---|
tor_block | 100 | isTor === true | block |
headless_block | 200 | headless_browser factor present | block |
velocity_block | 300 | velocity_exceeded factor present | block |
scraper_ua_challenge | 400 | known_scraper_ua factor present | challenge |
high_score_block | 500 | botScore >= 75 | block |
mid_score_challenge | 600 | botScore >= 50 | challenge |
Custom rules with priority < 100 run before all defaults.
import { BbasManager, mergeRules, DEFAULT_RULES } from 'bbas-devicer';
const bbasManager = new BbasManager({
rules: mergeRules(
[
{
name: 'block_my_bad_asn',
priority: 50,
condition: (e) => e.crossPluginSignals?.rdapAsnOrg?.includes('BadASN') ?? false,
action: 'block',
},
],
DEFAULT_RULES,
),
});
bbas-devicer registers as a DeviceManager post-processor named 'bbas'. It should run after ip-devicer, tls-devicer, and peer-devicer so it can read their cached enrichment data for the cross-plugin scoring factors:
identify(payload, context)
│
├─ 'ip' post-processor (ip-devicer)
│ └─> enrichmentInfo.details.ip.isTor / isVpn / riskScore / …
│
├─ 'tls' post-processor (tls-devicer)
│ └─> enrichmentInfo.details.tls.consistencyScore / factors
│
├─ 'peer' post-processor (peer-devicer)
│ └─> enrichmentInfo.details.peer.taintScore
│
└─ 'bbas' post-processor (bbas-devicer) ← register last
├─ analyzes UA, headers, velocity
├─ reads cross-plugin signals (Pro+)
├─ computes bot score + runs rule engine
└─> result.bbasEnrichment + result.bbasDecision
{
bbasDecision: 'allow' | 'challenge' | 'block',
bbasEnrichment: {
botScore: number; // 0–100, higher = more likely a bot
botFactors: string[]; // fired factor keys
decision: BotDecision;
uaClassification: {
isBot: boolean;
isHeadless: boolean;
isCrawler: boolean;
botKind?: 'headless' | 'scraper' | 'http-client' | 'crawler';
uaString: string;
};
headerAnomalies: {
missingBrowserHeaders: boolean;
suspiciousHeaderOrder: boolean;
anomalyFactors: string[];
};
velocitySignals: {
requestCount: number;
windowMs: number;
requestsPerMinute: number;
exceedsThreshold: boolean;
};
crossPluginSignals?: { // Pro/Enterprise only
isTor?: boolean;
isVpn?: boolean;
isProxy?: boolean;
isHosting?: boolean;
isAiAgent?: boolean;
aiAgentProvider?: string;
tlsConsistencyScore?: number;
peerTaintScore?: number;
rdapAsnOrg?: string;
};
consistencyScore: number; // 0–100
},
}
createBbasMiddleware(manager, {
mode: 'observe' | 'block', // default: 'observe'
})
In 'observe' mode the middleware only attaches req.bbasContext and defers the decision to after identify(). In 'block' mode the same context is attached — the actual block/challenge response is applied at the application layer using result.bbasDecision.
| Tier | Price | Devices | Scoring factors |
|---|---|---|---|
| Free | $0 | 10,000 | UA, headers, velocity |
| Pro | $49 / mo | Unlimited | All 13 factors incl. cross-plugin |
| Enterprise | $299 / mo | Unlimited | All 13 factors incl. cross-plugin |
You can obtain a license key through polar.sh here.
Without a key the library runs on the free tier automatically and logs a warning at startup.
Full API docs are generated by TypeDoc and available in the docs/ folder:
npm run docs
Business Source License 1.1 — see license.txt.
FAQs
Bot Blocking & Anti-Scrape Middleware for the FP-Devicer Intelligence Suite
We found that bbas-devicer demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.

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