Relevantknowledge

Category: spyware · Aliases: Spyware:Win32/RelevantKnowledge, Adware:Win32/RelevantKnowledge, PUA.Win32.RelevantKnowledge, ADW_RELEKNOW, TMRG RelevantKnowledge · Sample count (EMBER 2018): 209 · Enrichment: curated_sourced · Updated: 2026-10-14
Category: SpywareStatus: Automated SignaturePlatform: WINDOWS_PEStage: Collection, Exfiltration, PersistenceFirst seen: 2007Actor: Unknown / CybercriminalIndustry: Global / OpportunisticMotivation: Market Telemetry Surveillance🕸 Explore Relationship Graph⚙ API JSON⚡ Sigma Rule💾 YARA RuleOS: Windows 11, Windows 10, Windows 7
Executive Summary
RelevantKnowledge (widely cataloged across security solutions as Spyware:Win32/RelevantKnowledge, Adware:Win32/RelevantKnowledge, PUA.Win32.RelevantKnowledge, and ADW_RELEKNOW) is an infamous market-research spyware program developed by TMRG, Inc.

Table of Contents

Overview

RelevantKnowledge (widely cataloged across security solutions as Spyware:Win32/RelevantKnowledge, Adware:Win32/RelevantKnowledge, PUA.Win32.RelevantKnowledge, and ADW_RELEKNOW) is an infamous market-research spyware program developed by TMRG, Inc. (The Market Research Group, a subsidiary of Comscore). In circulation since 2007, RelevantKnowledge is bundled within free consumer software downloads, including screensavers, media converters, PDF generators, and file compression utilities. While presented in End User License Agreements (EULAs) as an opt-in demographic research program, its installation mechanisms frequently mislead users through multi-tiered bundling dialogs. Once installed, RelevantKnowledge registers a persistent background Windows service (rlvknlg.exe), configures a local proxy or network filter driver (LSP), and monitors all outbound HTTP/HTTPS web traffic. The application intercepts user search queries, web browsing history, e-commerce purchases, and demographic data, transmitting telemetry back to remote market analytics servers. Its intrusive network hooks often degrade browsing performance, introduce certificate security risks, and expose sensitive enterprise web workflows.

Known aliases

Threat reports may refer to this family under multiple names:

Family Pedigree & Lineage

Malware authors regularly fork and iterate upon existing codebases. Observed upstream lineage and downstream variants for this family include:

Derived From / Upstream Ancestry: Tmrg / Voicefive Market Research Tracking Engine · Commercial Desktop Telemetry Agent

Known Derivatives & Downstream Variants: Relevantknowledge.O · Relevantknowledge.Nr · Relevantknowledge 64-Bit

MITRE ATT&CK Techniques

Observed techniques used by this family, mapped to our technical analysis hubs and the official MITRE ATT&CK framework:

→ Explore the complete 226-Technique ATT&CK Threat Matrix

Tactical Mitigations

Based on the techniques used by this family, consider the following defensive strategies:

MITRE D3FEND™ Defensive Countermeasures

Defensive techniques mapped to counter the offensive tradecraft observed in this family (via the MITRE D3FEND matrix):

D3FEND IDCountermeasure NameTacticCountered ATT&CKDefensive Guidance
D3-EAFEgress Analysis and FilteringIsolateT1041Enforce perimeter TLS inspection and alert on anomalous outbound data volume ratios transmitting over active C2 channels.
D3-MFAMulti-factor AuthenticationHardenT1056.001Enforce FIDO2 / WebAuthn physical tokens to render keystroke-intercepted passwords useless.
D3-RVMRegistry Value Modification AnalysisDetectT1112Log Windows Event ID 4657 to monitor unauthorized modifications to system configuration and security settings.
D3-RBIRemote Browser IsolationIsolateT1189Execute untrusted web browsing sessions in disposable cloud containers to isolate drive-by exploits from local endpoints.
D3-SCMWindows Service Creation MonitoringDetectT1543.003Verify service binary image signatures and restrict standard users from creating or modifying service definitions.

Indicators of Compromise

Public indicators drawn from CISA advisories and vendor reporting. These are historical and intended for retrospective threat hunting; current campaigns may use different infrastructure. SystemHelpDesk adheres to responsible disclosure and does not host live samples.

File hashes (SHA-256, sample)

Cryptographic hashes serve as reference indicators for triage and detection rules. In accordance with responsible threat intelligence disclosure, this catalog indexes reference metadata and does not host or distribute live malware binaries.

Delivery vectors

Persistence mechanisms

SIEM / EDR Ingestion: Need these reference indicators for threat hunting?

Tiered Detection Rules (Cisco CAIRN Model)

Modern threat detection requires multi-layered rule engineering. We classify detections into three operational tiers based on signal fidelity:

Tier 1 Primitive Artifact Rule (Fast Triage)

Matches raw strings and file markers. Vulnerable to binary repacking and simple obfuscation.

rule MALWARE_WIN_RELEVANTKNOWLEDGE_T1_ARTIFACT {
    meta:
        description = "Tier 1 Primitive Artifact: Raw string matches for Relevantknowledge"
        tier = "T1 - Primitive Artifact"
        confidence = "Low-Medium (Fast Triage)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        $s1 = "relevantknowledge" ascii wide nocase
        $s2 = "spyware:win32/relevantknowledge" ascii wide nocase
        $s3 = "adware:win32/relevantknowledge" ascii wide nocase
        $s4 = "pua.win32.relevantknowledge" ascii wide nocase
        $s5 = "adw_releknow" ascii wide nocase
        $s6 = "tmrg relevantknowledge" ascii wide nocase
    condition:
        uint16(0) == 0x5a4d and any of them
}

Tier 2 Behavioral Context Rule (Process Chains & Sigma)

Tracks parent-child process anomalies and suspicious scripting telemetry. Resilient against file renames.

title: SystemHelpDesk Detection - Relevantknowledge (Spyware) Execution & Triage
id: 3b7330cf-fbb4-5555-a59d-21123daf8aee
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
  with the Relevantknowledge malware family. Detects suspicious execution from temporary
  user directories with hidden window flags and background transfer utilities.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/relevantknowledge
- https://malware-families-catalog.systemhelpdesk.com/defensive/ransomware-protection
- https://malware-families-catalog.systemhelpdesk.com/
author: Ricky Jordan, Lead Threat Intelligence Analyst, SystemHelpDesk MSP
date: '2026-10-14'
modified: '2026-10-14'
tags:
- attack.spyware
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1543_003
- attack.t1112
- attack.t1189
- attack.t1056_001
- attack.t1041
logsource:
  category: process_creation
  product: windows
detection:
  selection_process:
    Image|endswith:
    - \cmd.exe
    - \powershell.exe
    - \cscript.exe
    - \wscript.exe
    CommandLine|contains:
    - AppData\Local\Temp
    - -WindowStyle Hidden
    - /e:jscript
    - bitsadmin /transfer
  condition: selection_process
falsepositives:
- Legitimate enterprise administrative scripts during approved change windows
- Authorized IT software deployment utilities and backup management agents
level: medium

Tier 3 Attribution Fingerprint Rule (High Fidelity)

Deep signature matching distinctive operational fingerprints and payload characteristics.

rule MALWARE_WIN_RELEVANTKNOWLEDGE_T3_ATTRIBUTION {
    meta:
        description = "Tier 3 Attribution Fingerprint: Heuristic detection for Relevantknowledge tradecraft"
        tier = "T3 - Attribution Fingerprint"
        confidence = "High (Confirmed Family Signature)"
        author = "SystemHelpdesk Threat Research Desk"
        date = "2026-10-14"
    strings:
        // Core family identifier & heuristic payload signatures
        $attrib_str = "relevantknowledge" ascii wide nocase
        $pe_magic = "MZ" ascii
        $net_marker = "http" ascii nocase
    condition:
        uint16(0) == 0x5a4d and ($attrib_str and $net_marker) and filesize < 15MB
}
SOC & SIEM Rule Downloads: ⬇ Download YARA Rule (.yar) ⬇ Download Sigma Rule (YAML) ⬇ Download Sigma Rule (JSON) ⚙ Threat Profile API (JSON)

Containment & Response Steps

Home Users: If you suspect a malware infection on your personal device, disconnect from the internet immediately and run a full system scan with your antivirus software (see our TotalAV Antivirus & Security Support Guide). The steps below are intended for IT professionals responding to enterprise incidents.

Ordered checklist for responders. Adapt to your environment and engage professional support for active incidents.

  1. Stop and disable the 'RelevantKnowledge' Windows Service (rlvknlg.exe) via services.msc.
  2. Uninstall the RelevantKnowledge application and the freeware host program from Programs and Features.
  3. Inspect and reset Windows network proxy configurations and Winsock LSP provider settings to remove traffic hooks.
  4. Execute an antimalware scan with Malwarebytes or Microsoft Defender to purge lingering tracking components and registry entries.

What to Avoid

Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.

  1. Do not ignore RelevantKnowledge as benign software; its traffic interception capabilities present severe enterprise privacy and compliance risks.
  2. Avoid allowing end users without administrative oversight to install unverified freeware utilities from public download repositories.

References & External Analysis

Frequently Asked Questions

What is the RelevantKnowledge software application?

RelevantKnowledge is market research spyware developed by TMRG that monitors and logs user web browsing and search behavior.

How does RelevantKnowledge intercept internet traffic?

It installs a persistent Windows service and configures a local proxy/LSP to inspect outbound HTTP and HTTPS traffic.

How is RelevantKnowledge distributed to computers?

It is bundled inside third-party freeware installers such as screensavers, media players, and file conversion tools.

How does RelevantKnowledge maintain persistence on Windows?

It registers a persistent Windows service named 'RelevantKnowledge' (rlvknlg.exe) that starts automatically at boot.

How can RelevantKnowledge spyware be completely uninstalled?

Stop the service, uninstall from Programs and Features, reset proxy and Winsock settings, and perform an EDR scan.

How do I remove the Relevantknowledge Spyware from Windows?

Manual removal of Relevantknowledge is highly discouraged as it may leave persistence mechanisms intact. We recommend disconnecting the device from the internet and utilizing a professional incident response service or enterprise-grade EDR software to conduct a full forensic sweep.

Is Relevantknowledge a virus or a Spyware?

Relevantknowledge is classified as a Spyware. Unlike traditional viruses that infect files, modern malware like Relevantknowledge typically operates as a standalone payload designed to compromise systems, steal data, or deploy secondary stage implants.

What are the main symptoms of a Relevantknowledge infection?

Symptoms of Relevantknowledge can include unexpected system slowness, unauthorized outbound network traffic to unknown IP addresses, disabled security software, and suspicious background processes running from AppData or Temp directories.

Protect Your Network Against Spywares

Want to prevent Relevantknowledge and similar threats from compromising your organization? Read our comprehensive defensive guide: Spyware & Keylogger Protection.

📣 Threat Intel Correction or Update?

Notice an outdated IOC, unlisted alias, or disputed attribution? Threat researchers are invited to propose an update on GitHub or contact the SystemHelpDesk research desk. All community revisions are credited in our public CHANGELOG.

Need help with an active incident? Published by the SystemHelpdesk Threat Intelligence Team.

Machine-readable

Get this profile as JSON: https://malware-families-catalog.systemhelpdesk.com/api/relevantknowledge.json

Ecosystem & Interactive Environments

This profile is part of the Malware Families Catalog, a public dataset of 2,899 malware families. The catalog is also published across our ecosystem: Hugging Face, Kaggle, Zenodo, Replit, StackBlitz, CodeSandbox, and CodePen.