Developers and Security Engineers, You Deserve Better Vulnerability Tracking

Let's be honest — whether you write code or secure it, vulnerability management today is a mess. You open a feed and see hundreds of CVEs, half of them irrelevant to your product...

Let's be honest — whether you write code or secure it, vulnerability management today is a mess.

You open a feed and see hundreds of CVEs, half of them irrelevant to your product, framework, or even your platform. You bookmark a few, ignore most, and still miss the one that actually matters.

The result?
Wasted time. Missed alerts. And too many false alarms.

That's why I built VulnTracker.io — a platform that tells you only when a vulnerability really affects your stack.

🧩 The Developer Side of Vulnerabilities

If you're a developer, you've probably seen security bulletins about the libraries you use: Flask, Django, React, Nginx, PostgreSQL, or maybe some obscure dependency you installed months ago.

But do you really check every CVE entry to see if it touches your version? Of course not — no one has time for that.

VulnTracker was designed to automate that check.
You add the products, frameworks, or components you use, and the system constantly monitors trusted sources like NVD and CISA KEV. When a new vulnerability appears that matches your software version or dependency range, you instantly get a notification.

🔐 For Security Engineers: Real Signal, No Noise

If you work in security, you already know what happens when CVE feeds go unfiltered: You drown in irrelevant data.

VulnTracker solves this by focusing on CPE matching, severity thresholds, and update-driven alerts.

It doesn't just dump raw CVEs — it understands what's relevant to your tracked products. Even if a CVE is marked as N/A, you still get an update when it changes state (for example, when a CVSS score or exploit flag is added).

You can:

  • Filter by CVSS, EPSS, or exploit availability.
  • Ignore certain products or keywords.
  • Export daily reports as HTML or PDF.
  • Use the Telegram bot for quick notifications.

🧠 Under the Hood

Here's a quick peek into how it works technically:

  1. The system continuously polls NVD and CISA KEV feeds.
  2. Each CVE is parsed and normalized (JSON 2.0 format).
  3. Products are matched using CPE (Common Platform Enumeration) logic.
  4. Filters are applied (severity, exploit-known, etc.).
  5. Alerts are queued and delivered via email or Telegram (webhooks and Slack coming soon).

Everything is asynchronous — built with Go workers and PostgreSQL, optimized to handle large CVE datasets efficiently.

🧱 Why HTML Reports?

The daily reports are exported in standalone HTML so companies can:

  • Customize the look and feel,
  • Integrate with internal dashboards,
  • Or simply print them as PDF for compliance records.

🚀 Still Evolving

VulnTracker is still under active development — the core alerting logic is stable, but the UI and docs are being refined. We're also introducing:

  • Unlimited CVEs per product
  • SBOM imports (to map your dependencies automatically)
  • Slack & Webhook integrations
  • Regional pricing (including TRY)

💬 Final Thought

Whether you're a developer who wants to stay safe or a security engineer tired of noise, you shouldn't have to manually sift through hundreds of irrelevant vulnerabilities every day.

VulnTracker does that for you — clean, fast, and focused.

👉 Try VulnTracker.io — get alerted only when vulnerabilities actually affect your codebase or infrastructure.