Early warning

Early Warning of Upcoming CVE Disclosures

Get ahead of new CVEs on the systems you care about.

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Overview

GreyNoise research shows that spikes in traffic targeting older CVEs often precede new CVE disclosures for that same vendor within weeks. These early warnings give organizations time to harden systems, patch, monitor, or block probing IPs.

By detecting shifts in attacker reconnaissance prior to CVE disclosure, GreyNoise provides a critical window of opportunity to prepare before a threat materializes.

How GreyNoise Helps You
Prepare for New CVEs

Provides Time to Prepare

When a new CVE hits critical perimeter systems, it can trigger emergency response and disruption. Early warnings from GreyNoise let teams prepare in advance and minimize impact

Aligns Risk Assessments to Real-World Threat Activity

GreyNoise shows which vendors and technologies are seeing abnormal reconnaissance levels, keeping risk assessments aligned with real-world signals.

Improves Resource Allocation

Defenders can focus investments, patching, and monitoring on upcoming threats most likely to impact them.

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Enables Proactive Blocking

Use GreyNoise query-based, dynamic blocklists to stop attacks as your organization patches exposed systems.

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Explore Available Fields

Filter by category & search available IP fields and their uses with GreyNoise.
Categories
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NAME
Description & Use
Intention
Tag’s intent classification: benign, malicious, suspicious, or unknown. Adds risk context.
ID
Unique tag identifier.
CVEs
CVEs tied to the tag behavior. Critical for identifying exploitation of known vulnerabilities.
Description
Human-readable explanation of what the tag represents. Adds analyst context.
Created At
Date the tag was first added. Indicates when this behavior was first observed.
Tags Count
Count of IPs associated with specific tags. Helps identify common behaviors at scale.
Spoofable Count
Count of spoofable vs. non-spoofable IPs. Highlights volume of potentially fake traffic.
Source Country Count
Count of IPs originating from each country. Useful for geo-distribution of attacks.
Organization Count
Count of IPs linked to each organization. Useful for assessing exposure by provider.
Destination Countries Count
Count of IPs targeting specific countries. Supports geo-threat monitoring.
Actor Count
Aggregated count of IPs per actor. Supports statistical analysis of actors.
Category Count
Aggregated count of IPs per category (hosting, ISP, etc.). Highlights infrastructure trends.
Classification Count
Aggregated count of IPs per classification. Useful for threat landscape analysis.
Spoofable
Shows whether the IP completed a valid TCP handshake. If false, traffic may be spoofed or fake.
Tor
Identifies if the IP is a Tor exit node. Tor traffic often indicates obfuscation or anonymization.
Source Country Code
ISO country code for the IP’s registration country.
Exploitation Details
Exploitation-related details pertaining to attack vector category, EPSS score (Exploit Prediction Scoring System), available exploits, and KEV (Known Exploited Vulnerabilities) registration. Guides whether to prioritize based on real-world attacker use.
Timeline CVE Last Updated Date
The last date the CVE entry was updated in the database. Useful for tracking changes in severity, affected products, or exploit status.
Timeline CISA KEV Date Added
Date the vulnerability was added to CISA’s Known Exploited Vulnerabilities (KEV) catalog. Vulnerabilities in KEV should be prioritized for remediation per federal guidance.
Timeline First Known Published Date
Date when the first exploit associated with the CVE was published.
Timeline CVE Published Date
The date the CVE was first published. Helps determine how long attackers have potentially been aware of the vulnerability.
Timeline
Key timeline details about when the CVE was published, updated, and added to CISA (https://www.cisa.gov/known-exploited-vulnerabilities-catalog). Useful for understanding how long the issue has been known.
Details Published to NIST NVD
Indicates if the vulnerability is published in the NIST National Vulnerability Database. Confirms official recognition and ensures compatibility with standard risk feeds.
Details CVE CVSS Score
CVSS score assigned to the CVE. Commonly used in risk scoring but should be weighed alongside exploitation activity.
Details Vendor
The vendor or developer responsible for the affected product. Helps map vulnerabilities to vendor patch advisories and SLAs.
Details Product
The product affected by the vulnerability (e.g., Apache HTTP Server). Used to match against an organization’s asset inventory for prioritization.
Details Vulnerability Description
Summary of what the vulnerability is and how it works. Helps analysts understand potential impact and determine exploitability in their environment.
Details Vulnerability Name
Human-readable name of the vulnerability. Practitioners use this for quick recognition when scanning advisories.
Details
Basic CVE details, including CVSS score (Common Vulnerability Scoring System), associated products & vendors, and NIST CVE recognition status. Provides context on the vulnerability itself.
ID
Unique identifier for the record. Used to track and reference the vulnerability consistently across systems and reports.
Source Bytes
Number of bytes sent from source IP. Useful for traffic analysis.
Source Longitude
Longitude of IP’s registered location. Useful for geo-mapping.

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