CandyCornDB

Real-time IP risk scoring to catch fraud, bots & abuse before they hit. Built for devs. Blazing-fast API. Start free →

[CandyCornDB @CandyCornDB]

Stop flying blind.

Most legacy GeoIP providers only see the surface. I built the CandycornDB Log Auditor to show you what they miss.

Paste 50 IPs from your logs and see the "Information Gap" in seconds:

Wholesale Landlord Identity (M247, Clouvider, etc.)

/24 CIDR Cluster Risk

Real-time Audit Receipts

Verified by v2.3-GOLD. Try the free auditor: https://t.co/27lZJfR9r9

#BuildInPublic #CyberSecurity #SaaS

[CandyCornDB @CandyCornDB]

Grab a free API key and audit your own logs. No credit card required to start testing the v2.3 engine: https://t.co/KKU4l6qZQE

[CandyCornDB @CandyCornDB]

This photo is the ultimate proof that Geo-IP tools are failing you.

MaxMind and others called this IP "Residential." CandycornDB’s P1 Subnet intelligence dug deeper and found the true Identity:

Internet Landlord: Clouvider Limited (AS62240) The Audit Receipt: +15 Hosting Penalty | +20 Inferred Proxy Penalty The Neighbor Count: 26 other malicious IPs in the same /24 block

The score is 70 (High Risk) because we are scoring the whole subnet, not just the single IP. Stop trusting stale data!

[CandyCornDB @CandyCornDB]

The 51% number is actually conservative when you look at the raw infrastructure layer. We are seeing bots grow 8x faster because "residential" proxies and wholesale landlords have made automated fraud cheap and easy. If the industry doesn't move toward real-time network intelligence, the human-majority web is never coming back!

[CandyCornDB @CandyCornDB]

Manual review works until the automated scrapers find you and send 10,000 submissions overnight. We built a refinery specifically to help "human-only" projects scale by identifying the proxy landlords and residential exits bots hide behind. If you want to protect that mission without spending all your time in a review queue, let me know!

[CandyCornDB @CandyCornDB]

Usage billing lag is the ultimate playground for automated fraud. These signups usually come from wholesale infrastructure like M247 or Clouvider that looks clean to standard blacklists. We built a subnet-aware engine specifically to catch these landlord IPs before they hit your checkout. Happy to help you audit a batch of those IPs if you want to see what your current tool is missing!

[CandyCornDB @CandyCornDB]

The new traffic class framing is spot on. The old way was binary (Human/Bad), but when it's 45% of the pipe, you have to treat agents as a primary stakeholder. The real killer is that asymmetric static blocklists are basically libraries of yesterday's problems. The move now is mapping the identity of the network (ASN types/neighborhoods) in real-time, not just chasing individual IPs.

[CandyCornDB @CandyCornDB]

@RTradersEdge That means a lot! Appreciate you saying that.
We built this specifically to catch the gaps left by traditional IP reputation tools, so it’s awesome to hear it’s working in the real world. Let us know if there’s anything we can improve.

[CandyCornDB @CandyCornDB]

We’ve now scored 350,000+ IPs through CandycornDB.
After combing through that much traffic, some patterns jump out—and others catch even experienced teams off guard.
Let’s talk about what we’ve learned so far 🧵

[CandyCornDB @CandyCornDB]

Want to learn how we detect risky traffic in real time—without relying on outdated blocklists?
We just broke it all down:
🔗 https://t.co/OGNHl3AtQ4

[CandyCornDB @CandyCornDB]

By clustering traffic at the subnet level and observing behavior over time, we can detect high-risk segments before they show up on public feeds.
This is how we flag things like Tor relay migrations or VPS farms switching abuse tactics.

[CandyCornDB @CandyCornDB]

We just crossed 350,000 IPs scored for fraud risk at CandycornDB.

Some patterns are obvious. Others genuinely surprised us.

From ASN abuse clusters to residential IP hijacking, here’s what we’ve learned so far:

🔗 https://t.co/OGNHl3AtQ4

#fraud #netsec #cybersecurity

[CandyCornDB @CandyCornDB]

Tired of sketchy IPs slipping through the cracks?
CandycornDB flags VPNs, bots, Tor nodes, and high-risk ASNs in real time — no stale blocklists, no guesswork.
Built for devs. Ready to scale.
👉 https://t.co/xTslidwMJt
#cybersecurity #fraudprevention #API

[CandyCornDB @CandyCornDB]

Hot take:
IP geolocation ≠ IP intelligence.
Knowing where traffic comes from is useless if you don’t know whether to trust it.

This is why we built CandycornDB.
Real-time IP risk scoring, no stale blocklists, no noise.

👉 https://t.co/ftg9PDXf1E
#CyberSecurity #DevTools #FraudPrevention

[CandyCornDB @CandyCornDB]

Static IP blocklists miss the big picture.

We’ve seen entire subnets reused for fraud across VPNs, bots, and fake signups.

That’s why we score risk based on:
• ASN reputation
• Subnet behavior
• Traffic velocity
• Proxy / Tor fingerprints

Modern IP reputation needs context.
🧠 We built CandycornDB to solve that.
👇 See the future of threat intelligence:
🔗 https://t.co/ftg9PDWHc6
#fraud #api #cybersecurity

[CandyCornDB @CandyCornDB]

@samm_duc Totally agree! Speed is nothing without trust. We’ve been focused on building a strong data pipeline + internal tooling first so the core stays clean as we scale. Appreciate you following along 🙌

[CandyCornDB @CandyCornDB]

We’re building CandycornDB in public — a developer-first IP intelligence API to help you detect fraud, bots, and bad actors in real time.
#buildinpublic #devtools #infosec 👇

[CandyCornDB @CandyCornDB]

We’re still early and building fast.

If you’re working on security, fraud detection, or infrastructure — we’d love your feedback.

Try it → https://t.co/xTslidwMJt
#buildinpublic #api #infosec #indiehacker

[CandyCornDB @CandyCornDB]

👨‍💻 Built for devs:
• Free tier (no credit card)
• API key instantly
• Clear docs
• Curl examples & Postman collection coming soon
Start scoring IPs in under 60 seconds.