Compromised Asset Detection

Detect Active Compromise on Your Network Edge

Gain visibility into compromised devices by analyzing inbound scanning activity and outbound communication with attacker-controlled infrastructure

Overview

Threat actors target edge devices like firewalls, VPNs, and routers to build botnets, stage malware, and maintain command-and-control. Once compromised, these devices either scan for new targets or quietly call back to attacker infrastructure. Today's threat actors use botnets to scan for vulnerable systems and launch mass, automated attacks. To do this, compromising edge systems are critical to their operations.

GreyNoise helps you spot compromised edge hosts fast using two independent signals. If your IP shows up as a scanner in GreyNoise, it’s likely been pulled into a botnet. If your outbound traffic matches a confirmed callback IP, it’s calling home to an attacker. Both are high-confidence indicators of compromise, even where EDR doesn’t exist. Compromised devices often behave like attacker infrastructure, making it likely that a compromised device will probe the GreyNoise sensor network or interact with a known malicious IP.

How GreyNoise Helps You
Find Your Compromised Assets

Identify Abnormal Outbound Traffic

GreyNoise matches your outbound traffic against confirmed malicious and callback infrastructure derived from real exploit activity. A hit is a high-confidence signal that a device is calling out to attacker-controlled systems.

Faster Containment

Early visibility into compromised assets, from both scanning behavior and outbound callbacks helps teams isolate hosts and respond before damage spreads.

Strengthen Incident Investigations

Combine scanner IPs, callback infrastructure, and malware hashes to investigate suspicious activity across both inbound and outbound signals.

Block Malicious Outbound Connections

GreyNoise provides query-based, dynamic blocklists that prevent devices on your network from communicating with both known malicious scanner IPs and confirmed C2 infrastructure.

Explore Available Fields

Filter by category & search available IP fields and their uses with GreyNoise.
Categories
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NAME
Description & Use
Bot
Flags whether the IP is part of known botnet activity. Helps detect automated scanning or malware distribution.
Classification
Last Seen
Last date the IP was observed by GreyNoise sensors. Indicates recency of activity.
Activity Timeline
Actor
Known or attributed owner/operator of the IP (e.g., research org, ISP, hosting provider). Useful for attribution.
Identity & Ownership
ASN
Autonomous System Number routing the IP. Helps group malicious infrastructure.
IP Address Metadata
Last Seen Timestamp
Exact date and time the IP was last observed. Enables timeline reconstruction in investigations.
Activity Timeline
IP
The observed IP address itself. Primary entity to investigate or correlate across alerts.
Identity & Ownership
Classification
GreyNoise’s judgment of the IP’s intent: benign, malicious, suspicious, or unknown. Most useful filter for triage.
Classification
Spoofable
Shows whether the IP completed a valid TCP handshake. If false, traffic may be spoofed or fake.
Classification
Source Country
Country where the IP is registered. Provides attacker infrastructure location context.
IP Address Metadata
Tor
Identifies if the IP is a Tor exit node. Tor traffic often indicates obfuscation or anonymization.
IP Address Metadata
Destination Countries
Countries where GreyNoise sensors saw this IP scanning. Indicates target geography.
IP Address Metadata
Region
State/province where the IP is registered. Adds sub-country geolocation context.
IP Address Metadata
City
Registered city of the IP. Useful for geolocation context and pivoting.
IP Address Metadata
Organization
Organization responsible for the IP. Adds enrichment for attribution.
IP Address Metadata
Destination Country Codes
ISO codes for countries targeted by scanning. Supports correlation with geo-based IOCs.
IP Address Metadata
Domain
Domain tied to the ASN owner. Provides higher-level ownership context.
IP Address Metadata
Source Country Code
ISO country code for the IP’s registration country.
IP Address Metadata
RDNS
Reverse DNS value for the IP. May reveal hostnames tied to services or campaigns.
IP Address Metadata
Mobile
Indicates if the IP belongs to a mobile/cellular network.
IP Address Metadata
Category
High-level network type (e.g., hosting, ISP, enterprise).
IP Address Metadata
RDNS Parent
Parent domain of the reverse DNS. Useful for clustering infrastructure.
IP Address Metadata
Single Destination
True if the IP only scanned one country. Suggests targeted reconnaissance.
IP Address Metadata
ID
Unique tag identifier.
Tag Information
Spoofable Count
Count of spoofable vs. non-spoofable IPs. Highlights volume of potentially fake traffic.
Stats & Aggregates
Created At
Date the tag was first added. Indicates when this behavior was first observed.
Tag Information
Organization Count
Count of IPs linked to each organization. Useful for assessing exposure by provider.
Stats & Aggregates
Source Country Count
Count of IPs originating from each country. Useful for geo-distribution of attacks.
Stats & Aggregates
Classification Count
Aggregated count of IPs per classification. Useful for threat landscape analysis.
Stats & Aggregates
Name
Display name of the tag. Analyst-facing label for quick recognition.
Tag Information
CVEs
CVEs tied to the tag behavior. Critical for identifying exploitation of known vulnerabilities.
Tag Information
Category Count
Aggregated count of IPs per category (hosting, ISP, etc.). Highlights infrastructure trends.
Stats & Aggregates
Tags Count
Count of IPs associated with specific tags. Helps identify common behaviors at scale.
Stats & Aggregates

Don't become a botnet.