Exploitation intelligence
Know what attackers are exploiting. See the evidence behind it.
We don’t just tell you a CVE is being exploited. We show the evidence behind it, including observed payloads, request paths, attacker infrastructure, confidence scoring, and practical artifacts for security teams.
Enterprise & MSSP — raw telemetry (payloads, IPs, paths), virtual patch artifacts, webhooks, and redistribution options.
- Evidence-backed
- Proprietary sensors
- Confidence scoring
- API-ready
- Virtual patches
- Attacker intelligence
2,696
High & Confirmed Confidence KEVs
Evidence-backed exploitation with high confidence
1,040
Beyond CISA KEV
Additional exploited CVEs tracked beyond CISA KEV
83
KEVs Observed in Sensors (7d)
Tracked KEVs with live exploitation attempts in honeypots
1,840+
Artifacts Available
PoC, Nuclei, and scanner context
Not Just a KEV Label
A known-exploited flag alone is not enough. KEVIntel shows the exploitation evidence behind each attestation — so your team can prioritise, detect, and respond with data, not just a catalog label.
Payloads & Paths
Observed payload samples, fingerprints, and request paths mapped to the CVE — not a bare exploited flag.
Attacker IPs & Geo
Source IPs, locations, and network context from sensor-observed exploitation attempts.
First Seen & Volume
First and last observed timestamps, attempt counts, and unique attacker IP counts per CVE.
Confidence Scoring
Separate strong exploitation evidence from weak signals using source quality, telemetry, and corroboration.
Proprietary sensor network
Sensor Coverage Across Internet-Facing Software
KEVIntel runs real internet-facing applications and honeypot decoys to observe live exploitation attempts.
Product names shown for identification purposes only.
From exploitation signal to security action
Our intelligence pipeline turns raw exploitation signals into actionable intelligence your teams can trust.
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Step 1
Observe
Monitor public sources, advisories, CISA KEV, RSS feeds, honeypots, and custom sensors for exploitation signals.
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Step 2
Attest
Validate exploitation evidence and source credibility before a CVE is treated as known exploited.
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Step 3
Score
Assign confidence based on source quality, specificity, telemetry, corroboration, and validation.
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Step 4
Enrich
Add EPSS, CVSS, CWE, timelines, PoCs, Nuclei, Metasploit, scanner context, online mentions, and product context.
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Step 5
Operationalize
Convert exploitation intelligence into detection context, request indicators, payload fingerprints, virtual patch guidance, and false-positive notes.
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Step 6
Deliver
Provide intelligence through UI, RSS, Pro API, and workflow-ready exports.
Actionable artifacts, not just vulnerability records
Practical artifacts help your team move from awareness to action.
Nuclei & Scanner Context
Templates, scanner coverage, and integration results for validation workflows.
PoCs & Exploit Info
Proof-of-concept references and exploit context to accelerate understanding.
Observed Telemetry
Per-CVE sensor observations — request paths, payload samples, attacker IPs and locations, and exploitation attempts mapped to KEVs.
Attacker Intelligence
Cross-CVE source IP intelligence — ranked attackers, geo and ASN context, payload and path samples on Enterprise, and per-IP profiles on Pro.
Virtual Patches
Availability shown across all tiers; deployable ModSecurity, Cloudflare, and AWS WAF rules with Enterprise.
API & Integrations
Pro API, RSS, and JSON delivery for automation-ready workflows.
Built for the teams who need to act first
Vulnerability Management
Prioritise patching based on exploitation evidence, confidence, EPSS, CVSS, and asset exposure.
Learn moreSOC / Detection
Turn exploitation intelligence into detection, monitoring, and incident response workflows.
Learn moreMSSP / MDR
Deliver differentiated client value with evidence-backed exploitation intelligence.
Learn moreCTI
Track exploited vulnerabilities with evidence links, timelines, and exploitation provenance.
Learn morePatch what matters first
CISA KEV is essential baseline. KEVIntel tracks 1,040 additional exploited vulnerabilities — with evidence, sensor telemetry, confidence scoring, and automation-ready delivery.