TL;DR
June 2026 Patch Tuesday was a record 198 CVEs, including 3 zero-days — plus, outside the Microsoft cycle, Check Point's actively-exploited VPN authentication-bypass CVE-2026-50751 and a Windows Kernel RCE CVE-2026-45657 rated CVSS 9.8. Security teams are drowning in advisories spread across the CISA Known Exploited Vulnerabilities (KEV) catalog, vendor security bulletin index pages, and NVD search results. You don't need a paid threat-intel platform to get organized. Using a no-code browser extractor like ScrapeMaster, you can turn those public advisory listing pages into a structured, living .csv or .xlsx tracker — auto-detect the table, paginate the full catalog, follow-detail into each CVE page for CVSS and affected products, and export to Google Sheets for your patch backlog. All public data, all stored locally. It's not a vulnerability scanner and it won't replace a commercial feed — but for turning scattered advisories into a prioritized backlog, it's fast, free, and yours.
The June 2026 advisory flood
If it felt like more than usual, it was. June 2026's numbers:
- 198 CVEs in the Patch Tuesday release — a record monthly total.
- 3 zero-days among them (vulnerabilities exploited before a patch was available).
CVE-2026-50751— an actively-exploited authentication-bypass in Check Point VPN, the kind of perimeter flaw attackers move on within hours of disclosure.CVE-2026-45657— a Windows Kernel remote-code-execution bug rated CVSS 9.8, near the top of the severity scale.
And that's just the headline set. Layer on the steady drip of vendor bulletins (Cisco, Fortinet, Adobe, Oracle, VMware, Apple) and the firehose of NVD entries, and a security team's real problem isn't finding advisories — it's consolidating them into one place they can prioritize and act on.
The core problem: advisory data is scattered and unstructured
The public sources are excellent individually and painful collectively:
- CISA KEV catalog — the authoritative list of vulnerabilities known to be exploited in the wild, with due dates for federal agencies. This is your highest-signal source.
- Vendor security bulletin index pages — each vendor publishes its own advisory index, in its own format, on its own schedule.
- NVD search results — comprehensive CVE records with CVSS scores and affected-product data, paginated across many result pages.
Every source has a different layout, its own pagination, and no shared export. Analysts end up copy-pasting into a spreadsheet by hand, which is slow, error-prone, and stale by the time it's done. The data is all public and structured on the page — it just isn't handed to you as a file. That's precisely the gap a browser extractor closes.
Manual tracking vs scraped CSV tracker vs paid threat-intel feed
| Dimension | Manual copy-paste | Scraped CSV tracker (ScrapeMaster) | Paid threat-intel feed |
|---|---|---|---|
| Cost | Free (but expensive in hours) | Free | Often thousands/year |
| Setup time | None | Minutes per source | Procurement + integration |
| Data freshness | Stale fast | Re-run on demand | Real-time / near-real-time |
| Coverage | Whatever you have patience for | Any public advisory page you can view | Curated, enriched, correlated |
| Fields captured | Whatever you type | Exactly the columns you pick | Vendor-defined, enriched |
| Enrichment / correlation | None | None (raw public data) | Yes — the whole point |
| Data location | Your spreadsheet | Local (IndexedDB) then your export | Vendor cloud |
| Best for | One-off, tiny lists | Building/maintaining a public-advisory backlog | Large SOCs needing enrichment and SLAs |
The honest read: a scraped CSV tracker sits between the two extremes. It won't correlate threat actors or enrich indicators the way a paid feed does — but for turning public advisory listings into a prioritized, living patch backlog, it beats manual copy-paste on every axis and costs nothing.
Building the tracker with ScrapeMaster
ScrapeMaster is a free, no-code Chrome extension. It runs in your browser, reads pages after they render (so JavaScript-driven advisory portals work fine), and keeps everything local. Here's the workflow for each source.
Step 1 — Auto-detect the advisory table
Open the CISA KEV catalog (or an NVD search result, or a vendor bulletin index). Click ScrapeMaster. Its AI reads the page structure and, in about 2-4 seconds, detects the repeating row pattern — one row per vulnerability — and names the columns (CVE ID, Vendor, Product, Date Added, Due Date). No CSS selectors, no coding. If the table is there, ScrapeMaster finds it.
Step 2 — Paginate the full catalog
The KEV catalog and NVD results run to hundreds or thousands of entries across many pages. ScrapeMaster handles next-page buttons, "load more", numbered pagination, and infinite scroll, so the entire catalog becomes one continuous extraction instead of a page-by-page slog.
Step 3 — Follow-detail into each CVE
The list page gives you the CVE ID and a name; the detail page gives you the CVSS score, the vector, the affected-product list, and the description. Turn on Follow detail and ScrapeMaster opens each CVE's link in a background tab to pull those fields into the same row — so your tracker carries severity and affected products, not just IDs.
Step 4 — Export to your patch backlog
Export to .csv, .xlsx, or .json, or copy straight to the clipboard for Google Sheets. Now you have a structured backlog you can sort by CVSS, filter to your stack's vendors, and assign owners. ScrapeMaster saves a per-domain config, so next month's flood is a one-click re-run that keeps your tracker living rather than one-off.
A concrete prioritization workflow
- Scrape CISA KEV first — it's your exploited-in-the-wild list. These jump the queue regardless of CVSS.
- Scrape NVD results filtered to your vendors — Windows, your VPN, your hypervisor — and follow-detail for CVSS.
- Merge in Google Sheets, flag anything in KEV, sort the rest by CVSS.
- Tag your exposure — you know your asset inventory; the tracker gives you the advisory side to map against it.
- Re-run weekly.
CVE-2026-50751(Check Point VPN, actively exploited) andCVE-2026-45657(Windows Kernel, CVSS 9.8) are exactly the entries this surfaces to the top.
Because this data is structured, it pairs well with the broader move toward machine-readable feeds we discussed in our piece on structured data vs scraping in commerce — the same principle applies: structured-on-the-page is great, but you often need it as a file, in your columns, in your hands.
Everything stays local
ScrapeMaster stores extracted data in your browser's IndexedDB. Its only network call is during auto-detect, when the page's HTML structure — not its content — goes to the analysis API to suggest columns. Your vulnerability tracker never leaves your machine, which matters when it maps to your own environment.
Honest scope and limits
We're candid about what this is and isn't:
- It tracks public advisory data. CISA KEV, NVD, and vendor bulletins are published to be read. Extracting them into a tracker is a clean use case.
- It is not a vulnerability scanner. ScrapeMaster does not probe your systems, detect what you're running, or tell you if you're exposed. It organizes the advisory side; mapping to your assets is your job (or your scanner's).
- It's not a threat-intel platform. No actor attribution, no IOC enrichment, no correlation. For that, a paid feed earns its cost. This is a free way to build and maintain the raw backlog.
- Respect each site's ToS and rate limits. Government and vendor sites publish this data for the community — don't hammer them. ScrapeMaster has configurable delays; use them and pace your scrapes.
- No anti-bot bypass and no login bypass. It reads what you can already see; it doesn't rotate proxies or defeat CAPTCHAs. These public advisory sources generally don't need any of that — which is part of why they're such a good fit.
- Chromium only. It uses the Side Panel API, so Chrome and Chromium browsers only — no Firefox or Safari.
Why a living tracker beats a static export
The value isn't one snapshot — it's the re-run. Vulnerability data changes constantly: new CVEs land, KEV gets new entries, CVSS scores get revised, vendors update affected-product lists. Because ScrapeMaster saves your per-domain config, refreshing the whole tracker is a click. That turns a spreadsheet into a maintained artifact:
- Weekly KEV delta — what got added to the exploited-in-the-wild list since last week.
- New-CVE sweep — this week's NVD entries for your stack, sorted by severity.
- Audit trail — dated
.csvexports give you a record of what you knew and when, useful for compliance and post-incident review.
For a small security team without a six-figure tooling budget, that's a serious capability assembled from free, public data.
Frequently asked questions
Can I legally scrape the CISA KEV catalog and NVD?
These are public government resources published for the security community to use, which makes extracting their listings into a tracker a clean, low-risk use case. Still respect each site's terms of service and rate limits — use configurable delays and don't over-crawl. This is general information, not legal advice.
How do I turn CVE advisory pages into a spreadsheet without coding?
Open the advisory listing page (CISA KEV, NVD results, or a vendor bulletin index), click ScrapeMaster, and let its AI auto-detect the vulnerability table and name the columns in a few seconds. Enable pagination to capture the full catalog, turn on Follow detail to pull CVSS and affected products from each CVE page, then export to .csv, .xlsx, .json, or Google Sheets. No CSS selectors, no code.
Is ScrapeMaster a vulnerability scanner?
No. ScrapeMaster does not scan your systems or tell you whether you're exposed. It extracts public advisory data into a structured tracker so you can prioritize a patch backlog. Mapping those advisories to your actual assets is a separate job for your inventory or a real vulnerability scanner.
Will this replace a paid threat-intelligence feed?
No — they serve different needs. Paid feeds enrich, correlate, and attribute in real time, which large SOCs need. A scraped CSV tracker is a free way to build and maintain a prioritized backlog from public advisories. For many small and mid-size teams, that covers the essential need without the cost.
How do I keep the tracker current?
ScrapeMaster saves a per-domain configuration, so re-running the same scrape is one click. Refresh weekly to capture new KEV entries, new CVEs for your stack, and revised CVSS scores. Dated exports also give you an audit trail of what was known when.
Does my vulnerability data get uploaded anywhere?
No. Extracted data is stored locally in your browser's IndexedDB. The only network call ScrapeMaster makes is during auto-detect, when the page's HTML structure — not its content — is sent to the analysis API to suggest columns. Your tracker stays on your machine, which matters since it can map to your own environment.
Bottom line
June 2026's record 198-CVE flood — zero-days, a Check Point VPN auth-bypass under active exploitation, a CVSS-9.8 Windows Kernel RCE — is exactly the kind of overload that buries security teams. The advisory data is all public; it's just scattered and unstructured. A no-code browser extractor turns CISA KEV, vendor bulletins, and NVD results into a living, prioritized .csv tracker — paginated, detail-followed for CVSS and affected products, exported to Sheets, and kept local. It's not a scanner and not a threat-intel platform, but for organizing the flood into a backlog you can act on, it's free and it's yours.
Install ScrapeMaster from the Chrome Web Store — free, no account, no row limits, data stored locally in IndexedDB — and stop copy-pasting advisories by hand. And from the same indie shop, CineMan AI is another local-first, no-account extension — IMDb and Rotten Tomatoes ratings plus AI taste-matching on Netflix, Prime, and Disney+.