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
Source Country
Country where the IP is registered. Provides attacker infrastructure location context.
Organization
Organization responsible for the IP. Adds enrichment for attribution.
Single Destination
True if the IP only scanned one country. Suggests targeted reconnaissance.
Region
State/province where the IP is registered. Adds sub-country geolocation context.
RDNS
Reverse DNS value for the IP. May reveal hostnames tied to services or campaigns.
RDNS Parent
Parent domain of the reverse DNS. Useful for clustering infrastructure.
Mobile
Indicates if the IP belongs to a mobile/cellular network.
Domain
Domain tied to the ASN owner. Provides higher-level ownership context.
Destination Country Codes
ISO codes for countries targeted by scanning. Supports correlation with geo-based IOCs.
Destination Countries
Countries where GreyNoise sensors saw this IP scanning. Indicates target geography.
City
Registered city of the IP. Useful for geolocation context and pivoting.
Category
High-level network type (e.g., hosting, ISP, enterprise).
ASN
Autonomous System Number routing the IP. Helps group malicious infrastructure.
Last Seen Timestamp
Exact date and time the IP was last observed. Enables timeline reconstruction in investigations.
Actor
Known or attributed owner/operator of the IP (e.g., research org, ISP, hosting provider). Useful for attribution.
Classification
GreyNoise’s judgment of the IP’s intent: benign, malicious, suspicious, or unknown. Most useful filter for triage.
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.

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