Threat Hunting

Needle in the haystack. Found

Quickly identify anomalous behavior and catch targeted threats

Overview

Effective threat hunting isn't just about finding more data, it’s about finding the right data. GreyNoise empowers your hunt team to adopt the PEAK Framework by correlating your internal traffic against our real-time map of internet-wide mass scanning.

By using GreyNoise to filter out opportunistic probes, benign scanners, and botnet noise, you reveal the statistically significant anomalies that represent targeted attacks. Stop chasing false positives and focus on the signals that actually threaten your perimeter.

How GreyNoise
Helps You Hunt Smarter

Focus effort on highest risks

Eliminate time-consuming research of benign and opportunistic scanning, allowing hunters to focus on infrastructure actually used by threat actors.

Supports threat research and hypothesis development

Hunters can use GreyNoise to conduct threat research, validate assumptions, and explore attack vectors in order to develop hypotheses.

Correlate isolated incidents

GreyNoise helps threat hunters link isolated incidents to larger campaigns by mapping attacker infrastructure and patterns, connecting logged IPs to those exploiting relevant vulnerabilities.

How GreyNoise Maps to the PEAK Hunting Framework

Explore Available Fields

Filter by category & search available IP fields and their uses with GreyNoise.
Categories
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NAME
Description & Use
Exploitation Activity Threat IP Count (10d)
Total number of threat IPs GreyNoise observed scanning or exploiting this vulnerability in the last 10 days.
Exploitation Activity
Exploitation Activity Threat IP Count (1d)
Total number of threat IPs GreyNoise observed scanning or exploiting this vulnerability today.
Exploitation Activity
Exploitation Activity Threat IP Count (30d)
Total number of threat IPs GreyNoise observed scanning or exploiting this vulnerability in the last 30 days. Useful for long-term prioritization and trend analysis.
Exploitation Activity
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.
Exploitation Intelligence
Exploitation Details Attack Vector
The method attackers use to exploit the vulnerability (e.g., network, local, adjacent). Helps assess exposure across internet-facing vs. internal assets.
Exploitation Intelligence
Exploitation Details EPSS Score
EPSS score (Exploit Prediction Scoring System) associated with the exploitation.
Exploitation Intelligence
Exploitation Details Exploit Found
Indicates whether a working exploit is publicly available. Confirms attacker capability and should increase remediation priority.
Exploitation Intelligence
Exploitation Details Registered in KEV
Whether exploitation has been registered in the KEV (Known Exploited Vulnerabilities) database.
Exploitation Intelligence
Exploitation Stats
Statistical data about exploitation, including number of exploits available, and number of threat actors and botnets exploiting the vulnerability.
Exploitation Statistics
Exploitation Stats Number of Available Exploits
Total number of exploits available (public + commercial).
Exploitation Statistics
Exploitation Stats Number of Botnets Exploiting Vulnerability
Total number of botnets exploiting the vulnerability.
Exploitation Statistics
Exploitation Stats Number of Threat Actors Exploiting Vulnerability
Total number of known threat actors exploiting the vulnerability.
Exploitation Statistics
First Seen
Date the IP was first observed by GreyNoise. Indicates activity lifetime.
Activity Timeline
HTTP Cookie Keys
HTTP cookie keys observed in scanning activity. Useful for identifying web scanners/exploit kits.
Protocol Data
HTTP Host
HTTP Host headers observed. Provides web attack targeting clues.
Protocol Data
HTTP MD5
MD5 hash of observed HTTP payloads. Useful for malware identification.
Protocol Data
Last Seen Timestamp
Exact date and time the IP was last observed. Enables timeline reconstruction in investigations.
Activity Timeline
Mobile
Indicates if the IP belongs to a mobile/cellular network.
IP Address Metadata
Name
Display name of the tag. Analyst-facing label for quick recognition.
Tag Information
Organization
Organization responsible for the IP. Adds enrichment for attribution.
IP Address Metadata
Organization Count
Count of IPs linked to each organization. Useful for assessing exposure by provider.
Stats & Aggregates
Port
Port observed in scanning activity. Useful for identifying targeted services.
Observed Request Data
Protocol
Protocol (e.g., TCP/UDP) used in scanning activity. Adds layer-4 context.
Observed Request Data
RDNS
Reverse DNS value for the IP. May reveal hostnames tied to services or campaigns.
IP Address Metadata
RDNS Parent
Parent domain of the reverse DNS. Useful for clustering infrastructure.
IP Address Metadata
Recommended Block
Indicates whether IPs with this tag should be blocked. Supports automated policy decisions.
Tag Information
References
References (e.g., CVE pages, docs) supporting the tag. Provides analyst enrichment sources.
Tag Information
Region
State/province where the IP is registered. Adds sub-country geolocation context.
IP Address Metadata
SSH Key
SSH keys observed from traffic. Can reveal attacker tooling or campaigns.
Protocol Data
Sensor Count
Number of distinct sensors that saw the IP. Higher values indicates wider scanning footprint.
Sensor Metadata
Sensor Hits
Total number of events GreyNoise sensors recorded from this IP. Indicates activity volume.
Sensor Metadata
Single Destination
True if the IP only scanned one country. Suggests targeted reconnaissance.
IP Address Metadata

Find your needle.