Live feed: {LIVE_FEED.filter(f => f.status === "EXPLOITED").length} actively exploited CVEs in the last 24h
Know which CVEs will ruin your weekend.
VulnQL pairs a curated library of validated exploits, payloads, and operator-grade guides
with CVSS, EPSS, KEV, and your asset inventory — one prioritized queue, proof of impact included,
so your team patches what attackers actually weaponize.
A CVE is a rumor. A validated exploit is evidence.
Most vulnerability feeds give you a number and a vendor advisory and call it intelligence. The questions
that decide your patch order — whether the CVE is reachable in a real environment, whether published
PoCs actually work, whether the exploit chain survives outside a researcher's lab — sit upstream of what
those feeds publish. Answering them lands on whoever holds the keyboard, and red teams spend days
rebuilding proofs-of-concept from a screenshot in a blog post.
We validate every exploit before it enters the feed. That changes what scoring, prioritization, and
remediation can mean — because every entry comes with proof, payload, and reproduction guide attached.
{[
{
n: "01",
title: "Ingest broadly, verify everything.",
body: "We pull from NVD, KEV, vendor advisories, GitHub PoCs, Exploit DB, paste sites, researcher disclosures, and ITW telemetry. Volume is the easy part — over 300K CVEs and 60K public PoCs sit upstream. Validation is the hard part, and the step we do.",
},
{
n: "02",
title: "Reproduce in an isolated range.",
body: "Our team stands up the affected product at the affected version in a controlled environment and runs the exploit end-to-end. We capture the working payload, the prerequisites, the target architecture, and the conditions under which it fails. Only what actually lands in our lab makes it into the feed.",
},
{
n: "03",
title: "Curate with operator-grade context.",
body: "Each validated entry ships with a reproduction guide, reliability rating, detection notes, and the specific configuration window where the exploit lands. Defenders see what's actually weaponizable against their stack; operators get a payload that works on the first try.",
},
{
n: "04",
title: "Score on ground truth.",
body: "ActionScore™ fuses CVSS, EPSS, KEV, exploit maturity, and your asset inventory — anchored to whether we've personally seen the exploit work. A 9.8 awaiting reproduction ranks below a 7.4 we've already landed. Your queue reflects what attackers can do today, scored on live evidence from our lab.",
},
].map(step => (
{step.n}
{step.title}
{step.body}
))}
WHY VALIDATE AT ALL?
Because patching is expensive and attention is the scarcest resource on a security team. A feed of
CVEs ranked by theoretical severity sends defenders chasing low-probability vulnerabilities while the
one CVE with a working exploit sits in row 412 of the backlog. Validation collapses the gap between
"published" and "exploitable" — so the queue you work from is the queue attackers are working from.
Every entry in the VulnQL feed is reproduced in our exploit lab before it lands in your queue.
You see the reliability percentage, network position, auth requirements, and downloadable artifacts
alongside the CVSS score and vendor advisory. Inconclusive results stay in the feed too, flagged
plainly, so your team knows which PoCs actually work.
The modern enterprise is completely overwhelmed with how to prioritize vulnerabilities.
The NVD publishes tens of thousands of CVEs every year. Most stay theoretical, most fall outside
your environment, and a CVSS score alone reflects severity in the lab — separate from whether an
attacker is actively using one against the products you actually run.
Security teams burn weeks chasing 9.8s that stay theoretical while a quiet 7.4 with a working
public exploit sits in the queue. The result: backlog grows, patch cycles slip, and the one CVE that
mattered slips through.
VulnQL fuses CVSS, EPSS, in-the-wild exploitation, PoC reliability, and your asset exposure into a single
ranked queue — so your team works the 10 CVEs that matter this week, ahead of the 10,000 the NVD published.
150 critical CVEs in your queue. You only need to urgently fix {roiFocus}.
Real-world exploitation data shows roughly 2–5% of "critical" CVEs ever get weaponized against the products you actually run.
VulnQL surfaces that handful so your team spends its cycles where they matter.