The attack vectors are not technical exploits, but exposed credentials and infrastructure used for authentication. The key vectors ThreatNG eliminates include: Compromised Credentials (DarCache Rupture), malicious Domain Name Permutations (typosquatting), exposed API Keys (Sensitive Code Exposure), and historical sensitive data leaks (Archived Web Pages).

Prevent these high-stakes scams by proactively eliminating the technical precursor: the setup of the fraudulent communications. This is achieved by maintaining a high BEC & Phishing Susceptibility rating, enforced through continuous monitoring of your domain and email security records against malicious permutations used to launch the scam.

ThreatNG’s Online Sharing Exposure and Sensitive Code Exposure modules are the dedicated solutions for this function. It continuously tracks your organization's exposed secrets and proprietary IP on public code-sharing platforms such as Pastebin, GitHub Gist, and Scribd, denying attackers the credentials they need to gain initial access.

Use the Archived Web Pages Investigation Module, which neutralizes the threat of Historical Reconnaissance Risk. This module discovers sensitive, decommissioned assets, including old login pages, user lists, and document files, ensuring attackers cannot exploit forgotten data to establish trust for a deepfake or phishing campaign.

ThreatNG performs a purely external, unauthenticated discovery—the "Adversary View"—to find data leaks you didn't know existed. Specifically, two key modules close this gap: Online Sharing Exposure tracks sensitive IP addresses and credentials exposed on public code-sharing sites (such as Pastebin or GitHub Gist), and Archived Web Pages uncovers historical leaks, such as old login pages or exposed user lists, that attackers use for initial reconnaissance. We neutralize the historical data risk that fuels AI-driven fraud.

We deliver intelligence, not just data points. ThreatNG prioritizes risks using our External Adversary View, which automatically maps findings (e.g., exposed ports, leaked credentials) to specific MITRE ATT&CK techniques. This eliminates manual research and provides your team with a clear picture of how an attacker would exploit a vulnerability. Furthermore, the intelligence is fed directly into your existing SIEM/SOAR platforms for automated response to prioritized brand risks, allowing you to focus on strategy, not fire drills.

This score (A-F) provides an instantaneous, proactive measure of your exposure to executive impersonation and financial fraud—the leading edge of deepfake attacks. It validates if your organization is susceptible based on three critical factors: the presence of your Compromised Credentials on the Dark Web, the security of your mail records (SPF/DMARC), and the existence of malicious Domain Name Permutations registered to impersonate your firm. A good score grants Peace of Mind during critical transaction periods.

Yes, by closing the "Human Attack Surface" gap. Our Social Media Monitoring module, which includes LinkedIn Discovery, identifies employees most susceptible to social engineering attacks. By flagging exposed usernames and unmonitored chatter, we provide an early warning system against pre-attack reconnaissance, giving you the necessary intelligence to protect your leadership and high-value personnel from targeted AI-driven impersonation attempts.