Infostealer Attack
What is an Infostealer Attack?
An infostealer attack in cybersecurity is an identity-focused cyberattack in which specialized malicious software—known as an information stealer or infostealer—infiltrates an endpoint to systematically harvest, extract, and exfiltrate sensitive personal, corporate, and authentication data from operating system memory, local storage, web browsers, and desktop applications.
Unlike traditional ransomware that encrypts files for extortion or destructive wipers that sabotage systems, an infostealer operates covertly. Its primary objective is to extract high-value authentication artifacts—specifically active browser session cookies, saved login credentials, cryptographic tokens, cryptocurrency wallets, VPN configurations, and machine fingerprints. The stolen telemetry is packaged into structured archives, known as "stealer logs," and exfiltrated to adversary-controlled command-and-control (C2) servers, where the attacker uses it directly or monetizes it across dark web marketplaces and automated Telegram log clouds.
What Data Do Infostealers Harvest?
Modern infostealer strains are engineered to vacuum up a wide spectrum of authentication and system telemetry:
Active Web Browser Session Cookies: Cryptographic session tokens, OAuth tokens, and SAML assertions extracted from local browser profiles (such as Google Chrome, Microsoft Edge, and Mozilla Firefox). These allow threat actors to bypass Multi-Factor Authentication (MFA) via session replay attacks.
Stored Web Credentials and Autofill Data: Cleartext or reversibly encrypted usernames, passwords, credit card numbers, billing addresses, and personally identifiable information (PII) saved in browser password managers.
Cryptocurrency Wallets and Browser Extensions: Private keys, seed phrases, and wallet data from desktop cryptocurrency applications and browser extension wallets.
Remote Access and Network Configurations: Stored connection profiles, private keys, and authentication tokens from Virtual Private Network (VPN) clients, Remote Desktop Protocol (RDP) utilities, SSH configurations, and FTP software.
Enterprise Messaging and SaaS Tokens: Active authentication tokens and session data from desktop applications such as Slack, Microsoft Teams, Discord, and Telegram.
System Hardware and Machine Fingerprints: Detailed device metadata, including public/private IP addresses, operating system build versions, hardware identifiers (UUIDs), installed software, and running process lists used to clone the victim's device profile and bypass anti-fraud risk engines.
How Infostealer Attacks Work: The Attack Lifecycle
An infostealer attack progresses through five distinct operational phases:
1. Initial Infection and Delivery: Threat actors distribute infostealer binaries through deceptive delivery channels. Common vectors include malvertising (bidding on popular software search terms to deliver trojanized installers), search engine optimization (SEO) poisoning, phishing emails with malicious attachments, weaponized cracked software or game cheats, and compromised software supply chains.
2. Execution and Environmental Profiling: Once executed on a Windows, macOS, or Linux device, the stealer profiles the host. It inspects local system settings, language configurations, and keyboard layouts, checking for virtualization sandboxes, analysis environments, or geographic boundaries before executing further.
3. Credential Decryption and Harvesting: The malware queries the local data stores of installed web browsers and applications. On modern operating systems, it targets Master Key structures—such as DPAPI (Data Protection API) on Windows or the macOS Keychain—decrypting local credential databases (like SQLite stores) and dumping browser session cookies, autofill records, and history into memory.
4. Archive Compilation and C2 Exfiltration: The collected telemetry is organized into a standardized file tree containing separate text files for passwords, JSON files for session cookies, screenshot captures of the desktop, and a system hardware summary. The malware compresses this into a zip archive and exfiltrates it to an external C2 server via encrypted HTTP POST requests, DNS tunneling, or automated Telegram bots.
5. Downstream Monetization and Initial Access Brokerage: Threat actors ingest the exfiltrated stealer logs into centralized log clouds or illicit marketplaces (such as Russian Market or Genesis Market). Initial Access Brokers (IABs) search these archives for enterprise domain names (@company.com), single sign-on (SSO) endpoints, and VPN credentials, selling high-privilege corporate access directly to ransomware cartels and extortion groups.
Prominent Infostealer Malware Families
The cybercrime ecosystem features several continuously evolving infostealer variants distributed under Malware-as-a-Service (MaaS) business models:
RedLine Stealer: One of the most prevalent and long-standing Windows-based stealers, widely distributed via trojanized applications and capable of extracting credentials, cookies, and system hardware fingerprints.
Lumma Stealer (LummaC2): A fast-evolving stealer written in C that employs advanced evasion techniques, control-flow flattening, and encrypted C2 communications, frequently delivered through malvertising.
Vidar Stealer: A descendant of the Arkei stealer family that retrieves dynamic configuration settings from public profiles and communication channels before harvesting credentials, cookies, and multi-currency wallets.
Raccoon Stealer: A popular MaaS stealer offering low barrier-to-entry subscriptions to threat actors, focused on dumping browser databases, cryptocurrency extensions, and desktop files.
MetaStealer: A variant engineered to target enterprise environments, capable of hunting down specific document types, password vaults, and corporate VPN profiles on infected corporate workstations.
Why Infostealer Attacks Circumvent Multi-Factor Authentication
Traditional security architectures treat Multi-Factor Authentication (MFA) as an absolute barrier against credential theft. Infostealer attacks bypass this defense completely through Session Token Hijacking:
Pre-Authenticated Session Theft: When an employee logs into an enterprise identity provider (IdP) or Single Sign-On (SSO) portal and successfully completes an MFA prompt, the authentication service issues an encrypted session cookie to the user's browser.
Cookie Extraction and Import: The infostealer copies this active session cookie directly from the local disk or memory.
Session Replay (Pass-the-Cookie): The adversary imports the stolen cookie into an anti-detect browser configured to match the victim's hardware fingerprint and IP subnet. When the attacker visits the corporate portal, the identity provider sees a valid, already-authenticated session. The attacker gains direct access to enterprise systems without ever needing the user's password or triggering a secondary MFA challenge.
Enterprise Defense and Mitigation Strategies
Defending against infostealer attacks requires shifting from basic endpoint antivirus to identity-first exposure governance:
Continuous Dark Web and Stealer Log Surveillance: Monitor underground log archives, automated Telegram log clouds, and stealer data feeds to detect enterprise credentials and corporate email domains within minutes of an employee device being compromised.
Automated Session Revocation and Credential Resets: Establish automated playbooks that immediately revoke all active OAuth/SAML tokens and force password resets across enterprise identity providers the moment an account appears in a stealer log.
Implement Phishing-Resistant MFA and Token Binding: Adopt FIDO2/WebAuthn hardware security keys and enforce device-bound session credentials (such as DPoP or token binding protocols) that prevent stolen session cookies from being replayed on an attacker's machine.
Enforce Conditional Access and Device Compliance Policies: Restrict enterprise single sign-on access strictly to verified, compliant corporate devices using Endpoint Detection and Response (EDR) agents and device health attestation, blocking unmanaged or infected personal computers (BYOD) from accessing corporate clouds.
Web Filtering and Malvertising Protection: Block traffic to known infostealer C2 infrastructures, restrict downloads from untrusted file-sharing domains, and deploy ad-blocking solutions across corporate browsers to prevent malvertising delivery vectors.
Frequently Asked Questions
Can an infostealer infect personal devices and still compromise an enterprise?
Yes. Employees frequently access corporate webmail, SaaS platforms, or cloud infrastructure from personal, unmanaged home computers (BYOD). When an infostealer infects a personal machine, it extracts the corporate session cookies and saved passwords stored in that browser, allowing attackers to access enterprise environments.
Does changing a password stop an attacker who has stolen a session cookie?
Not necessarily. While changing a password prevents traditional credential stuffing, an active session cookie remains valid until the identity provider explicitly terminates all active sessions or the cookie expires naturally. To neutralize the threat, administrators must force a global session revocation across all connected SaaS platforms.
How do threat actors search through millions of stealer logs?
Adversaries use automated log parsers and cloud search aggregators (often hosted on private infrastructure or Telegram bots) that index stealer logs by domain, URL, username, and country. Attackers can query for specific enterprise single sign-on URLs (e.g., company.okta.com) to instantly retrieve valid credentials and active session cookies.
Immediate Actionable Verification Checklist
Audit Threat Intelligence Feeds for Corporate Domains: Query dark web stealer log repositories to identify whether corporate email addresses or SSO URLs appear in recent infection archives.
Review Global Session Lifetime Policies: Inspect session duration and timeout settings in your primary identity provider, shortening token lifespans to minimize the usable window for stolen session cookies.
Deploy Phishing-Resistant Authentication: Transition high-privilege administrators and workforce users to FIDO2/WebAuthn authentication to eliminate the risk of credential interception and session manipulation.
Enforce Managed-Device Access Restrictions: Configure identity conditional access rules to require valid device certificates and compliant EDR states before granting access to internal applications.
Establish One-Click Automated Session Termination: Verify that security operations teams can execute an immediate, enterprise-wide session invalidation and credential rotation workflow whenever an infostealer compromise is detected.
Operationalizing Infostealer Attack Defense with ThreatNG
An infostealer attack is an identity-focused intrusion in which specialized malware (such as Lumma, RedLine, Vidar, or MetaStealer) infiltrates personal or corporate devices to harvest high-value authentication artifacts—specifically active browser session cookies, stored credentials, machine fingerprints, cryptocurrency keys, and VPN configurations. By packaging these artifacts into structured "stealer logs" and exfiltrating them to command-and-control (C2) servers, threat actors bypass Multi-Factor Authentication (MFA) via session replay attacks (Pass-the-Cookie) and sell turnkey access to Initial Access Brokers (IABs) and ransomware affiliates.
Enterprises face the Contextual Certainty Deficit because conventional internal security tools operate from the inside out. Defensive platforms—such as Endpoint Detection and Response (EDR) agents, Security Information and Event Management (SIEM) systems, and internal Identity and Access Management (IAM) tools—are deployed only on managed corporate endpoints. They remain blind to infections occurring on unmanaged personal computers (BYOD), contractor laptops, or home devices used to access corporate clouds. When an attacker replays a valid session token, internal identity providers view the connection as an authenticated, legitimate employee session, rendering traditional perimeter and host controls ineffective.
ThreatNG operationalizes defense against infostealer attacks by functioning as an unauthenticated external scout. Unifying External Attack Surface Management (EASM), Digital Risk Protection (DRP), and continuous Security Ratings into a single platform, ThreatNG discovers, evaluates, categorizes, and monitors an enterprise’s complete public digital perimeter alongside adversary staging infrastructure from an outside-in, adversary-centric perspective. By translating external technical telemetry, compromised credentials, and dark web intelligence into deterministic adversarial narratives via DarChain, evaluating weaponization through its 4-Dimensional (4D) Data Model, and delivering Legal-Grade Attribution, ThreatNG invalidates stolen identities before adversaries execute cloud intrusions, without requiring internal software agents, Application Programming Interface (API) access keys, or administrative credentials.
External Discovery
Defending against infostealer-driven breaches requires an automated discovery tier that can locate every public authentication interface, corporate credential leak, and adversary harvesting site across public networks without prior internal knowledge. ThreatNG builds this inventory baseline through connectorless external discovery.
Connectorless Asset and Perimeter Discovery: ThreatNG maps the entire public-facing digital footprint using unauthenticated discovery with zero internal connectors, software agents, or network credentials. It evaluates public domain registries, authoritative Domain Name System (DNS) zone files, Secure Sockets Layer/Transport Layer Security (SSL/TLS) certificate transparency logs, Regional Internet Registry (RIR) databases, and global Border Gateway Protocol (BGP) routing tables to catalog every legitimate public IP block, subdomain, cloud environment, and Single Sign-On (SSO) web application.
Patented Recursive Discovery for Unmonitored Entry Points: Starting from an initial seed entity (such as an apex domain, corporate brand name, or Autonomous System Number/ASN), ThreatNG iteratively expands outward. As new subdomains, DNS records, or netblocks emerge, the engine feeds them back in as fresh discovery seeds. This recursive process uncovers developer staging sandboxes, regional marketing micro-sites, and shadow cloud infrastructure deployed across Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and regional hosting providers where exposed login portals reside.
Algorithmic Permutation Discovery for Credential Harvesters: ThreatNG automatically computes, generates, and evaluates mathematical permutations of corporate domain names (typosquatting, combosquatting, and homoglyphs). It maps resolving IP addresses, nameservers, and active Mail Exchange (MX) records to uncover adversary staging infrastructure designed to harvest employee credentials via adversary-in-the-middle (AitM) phishing before campaigns deploy.
Non-Human Identity (NHI) and Leaked Secret Discovery: ThreatNG continuously discovers exposed programmatic machine identities, API tokens, cloud access keys, and webhook secrets across the public web. It monitors public version control systems (such as GitHub, GitLab, and Bitbucket), paste sites, and public cloud environments to uncover machine keys that adversaries combine with infostealer credentials.
Third-Party Dependency and SaaS Mapping (SaaSqwatch): ThreatNG evaluates public digital exhaust—such as DNS Canonical Name (CNAME) routing chains, Hypertext Transfer Protocol (HTTP) headers, and SSL/TLS certificates—to discover third-party Software as a Service (SaaS) platforms, cloud tools, and external service providers used across business units, identifying which cloud applications are vulnerable to token replay.
Decentralized and Web3 Domain Discovery: Beyond traditional DNS registries, ThreatNG identifies taken and available Web3 domains across decentralized naming platforms (such as Ethereum Name Service/ENS and Unstoppable Domains), uncovering decentralized brand-hijacking attempts before phishing frontends resolve.
Subsidiary and Extended Ecosystem Scoping: Because ThreatNG operates without internal credentials or vendor permissions, organizations can run unauthenticated discovery across operating subsidiaries, joint ventures, prospective acquisition targets (M&A due diligence), and supply chain partners to determine where vendor infections expose shared corporate authentication tokens.
External Assessment
ThreatNG elevates infostealer exposure and perimeter weakness assessment from passive notifications to deterministic, evidence-backed assessment using its Known Vulnerability Exposure Verification (KVEV) engine, proprietary Security Ratings, and 4-Dimensional (4D) Data Model. The 4D model cross-references National Vulnerability Database (NVD) baselines, 30-day Exploit Prediction Scoring System (EPSS) probabilities, Cybersecurity and Infrastructure Security Agency (CISA) Known Exploited Vulnerabilities (KEV) listings, and verified Proof-of-Concept (PoC) exploit code in DarCache eXploit.
Detailed Assessment Example 1: Dark Web Presence and Infostealer Exposure Assessment: ThreatNG continuously monitors underground marketplaces, Telegram channels, and dark web log clouds for stolen corporate artifacts. The assessment identifies active session cookies, Primary Refresh Tokens (PRTs), and enterprise Single Sign-On (SSO) credentials associated with corporate domains. ThreatNG assesses whether an infection on an unmanaged personal device has exposed corporate credentials, assigns an objective rating deduction, and provides the exact infected device profile, malware family, and compromised user identity.
Detailed Assessment Example 2: Non-Human Identity (NHI) Exposure Assessment: ThreatNG evaluates external exposure variables—including open non-standard ports, accessible environment variables, public cloud configurations, and unvetted webhook endpoints—to locate exposed programmatic machine identities. It identifies exposed API keys, service principal tokens, and cloud access credentials, computing an NHI Exposure Rating (A through F). If a stealer log contains programmatic tokens alongside user credentials, ThreatNG assesses the combined blast radius across production cloud environments.
Detailed Assessment Example 3: BEC & Phishing Susceptibility Assessment (Credential Harvesting Infrastructure): ThreatNG’s Domain Intelligence module calculates a dedicated A through F BEC & Phishing Susceptibility score. The engine inspects taken permutation domains for newly configured MX records and evaluates whether threat actors have activated mail delivery capabilities. If a taken lookalike domain configures MX records pointing to high-volume mail services while lacking restrictive Sender Policy Framework (SPF) or DMARC authentication, ThreatNG flags the domain as an active pre-weaponization vector staged to deliver infostealer malware or harvest MFA tokens.
Detailed Assessment Example 4: Web Application Hijack Susceptibility on Authentication Portals: ThreatNG evaluates web applications hosted across corporate subdomains for missing security controls and exposed administrative routes. It calculates an A through F Web Application Hijack Susceptibility score based on external web components, verifying whether exposed single sign-on (SSO) gateways or administrative panels lack multi-factor authentication enforcement or expose session management weaknesses that permit session hijacking.
Detailed Assessment Example 5: Data Leak Susceptibility on Exposed Cloud Buckets: ThreatNG evaluates public cloud storage instances across AWS S3, Azure Blob, and Google Cloud Storage for unauthenticated read and write permissions. It assigns an A through F Data Leak Susceptibility rating to identify open cloud buckets containing configuration files, database backups, or deployment scripts that hold database credentials and API keys, and to pinpoint where static keys are exposed directly to the internet.
Strategic Reporting
ThreatNG standardizes the communication of infostealer exposure and identity risks by converting raw outside-in telemetry, infrastructure graphs, and technical exposure metrics into structured, auditable records for technical practitioners, executive leadership, and compliance auditors.
Executive Security Ratings Reports: ThreatNG converts complex vulnerability metrics, exposed configurations, and digital risk indicators into standardized A through F security ratings across categories including Non-Human Identity (NHI) Exposure, Cyber Risk Exposure, Data Leak Susceptibility, and Supply Chain & Third Party Exposure. This enables Chief Information Security Officers (CISOs) to present empirical identity risk trends and secret reduction metrics directly to corporate boards.
Correlation Evidence Questionnaires (CEQs): ThreatNG dynamically generates Correlation Evidence Questionnaires based on confirmed external discovery and assessment results. The CEQ acts as an EASM-to-Audit Translation Layer, transforming unauthenticated outside-in discoveries—such as compromised employee credentials in stealer logs and unmonitored authentication portals—into targeted, auditable inquiries mapped directly to regulatory frameworks across four functional pillars: Technical, Strategic, Operational, and Financial.
External Adversary View and Framework Mapping Reports: ThreatNG automatically correlates raw external discoveries—such as exposed APIs, unmanaged cloud storage, open database ports, and leaked secrets—directly into strategic narratives aligned with MITRE ATT&CK for enterprise IT and MITRE ATLAS for AI/ML systems. This contextualizes technical indicators into specific tactical stages (such as Credential Access, Initial Access, and Lateral Movement), giving CISOs the evidence-based business context needed to brief executive boards on how attackers use stolen session tokens rather than exploits.
U.S. SEC Cybersecurity Disclosures Report: The report aligns an organization's public regulatory filings (such as Form 10-K Item 106 and Form 8-K Item 1.05 disclosures) with the verifiable technical reality of its external attack surface. It connects compromised identity markers and material credential leaks directly to corporate filings, eliminating disclosure disconnects and protecting corporate officers from regulatory penalties.
Forensic Evidence Packages for Rapid Session Invalidation: When ThreatNG discovers an employee credential or active session cookie in an infostealer log, it generates a detailed forensic evidence package containing technical markers, infection timestamps, malware strains, affected URLs, and proof of domain ownership to support legal attribution, insurance claims, and prioritized identity revocation.
Continuous Monitoring
Because infostealer infections occur continuously across personal and contractor devices, identity exposures emerge around the clock. ThreatNG delivers 24/7 continuous external surveillance across the extended digital footprint.
The platform monitors dark web marketplaces, Telegram channels, code repository commits, newly registered lookalike domains, modified DNS records, and fresh certificate issuances in real time. If an employee’s home computer is infected by Lumma or RedLine stealer and corporate session cookies are uploaded to an illicit cloud, ThreatNG detects the compromised records immediately. Furthermore, ThreatNG incorporates its Overwatch capability—a cross-entity vulnerability intelligence system that instantly evaluates exposure across an entire portfolio of subsidiaries, business units, and supply chain partners whenever an emerging infostealer log cloud or zero-day authentication flaw is identified, alerting security operations within seconds.
Investigation Modules
ThreatNG features specialized investigation modules that allow security analysts to investigate discovered infrastructure, trace developer leaks, and evaluate the full intelligence context of stolen authentication credentials.
Detailed Module Example 1: Dark Web Presence and Infostealer Intelligence: Operating through its dark web intelligence modules, ThreatNG continuously monitors underground marketplaces, paste sites, and infostealer malware logs for compromised corporate credentials, session cookies, and corporate mentions. This module parses log clouds to isolate compromised corporate credentials, active browser session tokens, and device metadata. It identifies the exact user identity, application URL, and infection timestamp, enabling security teams to invalidate active sessions before adversaries execute a Pass-the-Cookie replay attack.
Detailed Module Example 2: The DarChain Exploit Path Mapping Engine: DarChain (Digital Attack Risk Contextual Hyper-Analysis Insights Narrative) chains isolated technical, credential, and environmental discoveries into predictive attack graphs. For example, DarChain maps how an attacker extracts an active session cookie from an infostealer log, identifies an unmonitored external cloud storage bucket, and uses the replayed session to access internal corporate databases. DarChain pinpoints the critical Attack Path Choke Point—such as the hijacked identity token—proving that terminating that specific session collapses the entire adversarial narrative.
Detailed Module Example 3: Sensitive Code Exposure Module: ThreatNG continuously monitors public code repositories (such as GitHub, GitLab, and Bitbucket) and paste sites for leaked corporate secrets. This module uncovers hardcoded API keys, private SSH keys, Jenkins credentials, AWS access tokens, and database connection strings committed by internal developers or third-party contractors. The module provides exact repository URLs, commit timestamps, and file paths, identifying exposed credentials that adversaries use alongside stolen employee logins.
Detailed Module Example 4: Subdomain Infrastructure Exposure Module: Within Subdomain Intelligence, this module actively inspects discovered subdomains for exposed administrative interfaces, development pipelines, and automated tools. It detects exposed orchestration frameworks (including Langflow, self-hosted n8n, AnythingLLM, LM Studio, LiteLLM, Ollama, OpenAI-compatible APIs, and Clawdbot/Moltbot), vector databases (QDrant, Milvus, local Pinecone, and DuckDB), and Model Context Protocols (MCP), identifying administrative endpoints where attackers use stolen credentials to gain remote command execution.
Detailed Module Example 5: Cybersecurity AI Prompts (DarcPrompt): DarcPrompt packages verified identity exposure context and attack path findings into structured prompt blueprints. Featuring specialized personas—such as External Attack Paths, Shadow IT and AI, and External GRC Assessment—DarcPrompt applies strict architectural constraints that bind the prompt to ThreatNG's proprietary ground truth. Through an Air-Gapped Handoff, security analysts safely copy these blueprints into their internal private enterprise AI systems to draft session revocation playbooks, IAM policy updates, and executive summaries without exposing sensitive asset data to public AI services.
Intelligence Repositories
ThreatNG centralizes and structures threat intelligence through the DarCache intelligence engine, providing an interconnected dynamic ecosystem that grounds infostealer defense in empirical adversary reality:
DarCache Infostealer: Parses dark web logs, Telegram channels, and illicit cloud archives for compromised corporate credentials, session cookies, and Primary Refresh Tokens (PRTs), allowing teams to identify compromised accounts within minutes of an infostealer log being published.
DarCache Dark Web & Rupture: Scans underground forums, paste sites, and dark web sources for threats to brand assets and personnel, while tracking compromised corporate credentials, session cookies, and data leaks across all domain permutations.
DarCache Ransomware: Tracks active ransomware cartels and their specific tactics, techniques, and procedures (TTPs), monitoring whether threat actors are purchasing stealer logs from Initial Access Brokers to target specific corporate assets or industry sectors.
DarCache Vulnerability & eXploit: Integrates NVD baselines, CISA KEV listings, 30-day EPSS probabilities, and verified PoC exploit pointers to evaluate whether servers hosting authentication portals or connected enterprise gateways have weaponizable software flaws.
DarCache Bug Bounty: Aggregates and analyzes historical bug bounty program disclosures, researcher activity trends, and crowdsourced exploit patterns to evaluate public perimeter assets under scrutiny by external researchers.
DarCache Mobile: Detects hardcoded access credentials, security keys, and platform-specific identifiers within public mobile applications, discovering embedded API keys that communicate with cloud backends.
DarCache 8-K & ESG: Tracks SEC Form 8-K filings, global ESG violations, and corporate regulatory disclosures, providing non-technical governance indicators that connect digital identity risks directly to financial materiality, board oversight, and legal exposure.
DarCache BIN: Monitors Bank Identification Numbers (BINs) to identify and prevent potential payment card fraud across digital transactional and e-commerce assets.
Cooperation with Complementary Solutions
ThreatNG functions as an external intelligence scout that cooperates seamlessly with complementary solutions across enterprise governance, risk, and security operations to neutralize infostealer-driven threats.
Cooperation with Identity and Access Management (IAM) and Secrets Vaults: ThreatNG passes verified compromised employee credentials, active session tokens, and leaked API keys discovered in infostealer logs directly to complementary solutions (enterprise IAM platforms and secrets management vaults). The IAM system immediately invalidates all active sessions, revokes OAuth/SAML bearer tokens across connected SaaS applications, and enforces mandatory hardware-backed MFA re-authentication, closing the session-replay window.
Cooperation with Security Orchestration, Automation, and Response (SOAR): ThreatNG delivers pre-correlated Context Objects and DarChain attack paths to complementary solutions (enterprise SOAR platforms) via an API. When ThreatNG detects corporate credentials circulating in a dark web stealer log, the SOAR platform executes automated containment playbooks—triggering API commands to reset the user password in Active Directory or Okta, terminating active VPN connections, and opening a high-priority incident ticket in Jira.
Cooperation with Security Information and Event Management (SIEM) and XDR: ThreatNG passes external infostealer indicators, compromised user handles, and infection timestamps to complementary solutions (enterprise SIEM and XDR platforms). SOC analysts use this intelligence to query historical authentication logs, searching for anomalous logins that originated from the IP address, operating system, or user-agent identified in the stealer log to uncover ongoing lateral movement.
Cooperation with Endpoint Detection and Response (EDR): ThreatNG provides device names, infected hostnames, and malware family metadata extracted from stealer logs to complementary solutions (enterprise EDR platforms). If the infected machine is an enrolled corporate asset, the EDR tool immediately isolates the endpoint from the network and initiates automated malware remediation.
Cooperation with Cyber Asset Attack Surface Management (CAASM) and CMDBs: ThreatNG feeds external asset inventories, newly discovered subdomains, and shadow cloud infrastructure into complementary solutions (CAASM platforms and CMDBs). IT and asset management teams use this feed to reconcile external discoveries against internal records, ensuring that all deployed web assets, cloud buckets, and domain names have assigned owners and documented decommissioning procedures.
Examples of ThreatNG Helping Organizations
Invalidating Hijacked Cloud Administrator Sessions from a BYOD Infection: An enterprise cloud administrator logged into the corporate AWS console from a personal home computer that was subsequently infected by Lumma Stealer via a trojanized software download. The stealer dumped the active browser session cookies and uploaded them to an illicit log cloud. ThreatNG’s DarCache Infostealer module indexed the log within minutes, identifying the corporate domain, administrator email, and active AWS session token. ThreatNG assigned an F score for Non-Human Identity / Identity Exposure and generated an emergency alert. The security team executed a global session termination across AWS IAM, invalidating the session cookie before threat actors could replay the token and access production cloud workloads.
Neutralizing AitM Phishing Infrastructure Delivering Stealer Payloads: ThreatNG’s Domain Name Permutations capability discovered a newly registered combosquatted domain (company-vpn-portal.com) configured with active MX records and a freshly provisioned Let's Encrypt SSL/TLS certificate. ThreatNG’s assessment revealed an AitM reverse proxy designed to steal credentials and download secondary infostealer payloads. ThreatNG assigned an F score for BEC & Phishing Susceptibility and generated a forensic evidence package. The security team blocked the domain across perimeter gateways and submitted an expedited registrar takedown request, neutralizing the harvesting infrastructure before it targeted employees.
Examples of ThreatNG Working with Complementary Solutions
Working with IAM and SOAR to Enforce Automated Session Revocation: ThreatNG’s DarCache Infostealer repository discovers active Single Sign-On (SSO) session cookies belonging to a finance director circulating in a dark web botnet archive. ThreatNG transmits a pre-correlated Context Object to complementary solutions (an enterprise SOAR platform). The SOAR system automatically triggers API commands to complementary solutions (the enterprise IAM platform and identity provider) to revoke all active browser sessions, terminate current VPN connections, and enforce a mandatory hardware-backed MFA re-authentication, preventing an adversary from bypassing MFA via session replay.
Working with SIEM and Protective DNS to Block Stealer C2 Infrastructure: ThreatNG discovers an external lookalike domain actively communicating with known infostealer command-and-control IP infrastructure. ThreatNG passes the domain name and IP indicators to complementary solutions (protective DNS resolvers and an enterprise SIEM). The protective DNS resolver automatically blocks outbound employee resolution to the destination, while the SIEM queries network proxy logs to identify whether any internal endpoints initiated connections to the infrastructure, allowing the SOC to isolate an infected workstation and prevent further data exfiltration.
Frequently Asked Questions
How does ThreatNG detect infostealer infections that occur on non-corporate devices (BYOD)?
ThreatNG operates as an unauthenticated external scout that monitors dark web marketplaces, illicit Telegram channels, and stealer log clouds. Because malware exfiltrates stolen data to the criminal underground, ThreatNG identifies compromised corporate credentials, session cookies, and corporate domain mentions at the point of adversary distribution, whether the infected hardware is an unmanaged home PC or a corporate laptop.
Why is session cookie theft more dangerous than traditional password theft?
Stolen session cookies allow adversaries to perform Pass-the-Cookie session replay attacks. Because the session cookie proves the user has already authenticated—including passing Multi-Factor Authentication (MFA) challenges—an adversary importing the cookie into an anti-detect browser accesses the corporate environment directly, without triggering an MFA prompt or knowing the password.
How does ThreatNG cooperate with complementary security platforms during an infostealer response?
ThreatNG acts as an external intelligence scout, feeding pre-correlated Context Objects, verified compromised session tokens, and DarcPrompt blueprints directly into complementary solutions like IAM platforms, secrets vaults, SIEMs, SOAR engines, and EDR systems to drive automated session revocation, credential rotation, and endpoint isolation.
Immediate Actionable Verification Checklist
Audit Threat Intelligence Feeds for Corporate Domains: Query ThreatNG’s DarCache Infostealer repository to determine whether corporate email addresses, SSO URLs, or employee credentials appear in recent dark web botnet logs.
Review the Non-Human Identity (NHI) Exposure Rating: Inspect ThreatNG’s dedicated A through F NHI rating and technical penalty breakdown to identify exposed machine secrets and application tokens across cloud environments.
Deploy Context Objects into Automated Revocation Workflows: Configure the delivery of pre-correlated external threat findings into complementary SOAR playbooks and IAM vaults to automate credential invalidation and session termination upon detection.
Inspect Lookalike Permutations for AitM Reverse Proxies: Review taken combosquatted and typosquatted domains with active MX records and SSL certificates to neutralize credential-harvesting portals before phishing messages reach employees.
Reconcile Outside-In Discoveries with Internal CMDBs: Ingest ThreatNG's external asset inventory into enterprise CAASM and CMDB platforms to identify shadow IT deployments, update stale operational records, and maintain continuous, verified asset discovery.
