Attack Surface Discovery
Enterprise Information
Enterprise-related data such as investment relations and shareholder information are exposed externally and retrievable via public platforms, including supplier, app, and social media details.
Domain Information
Identify enterprise domain assets through SSL certificates, subdomain enumeration, and DNS records, covering both active and historical domains.
IP Assets
Monitor exposed public IPs with attack surface discovery, leveraging internet-wide scanning and full-port probing to track changes and risks in real time.
Web Assets
Discover exposed web services through internet-wide scanning, collecting titles, SSL certificates, and fingerprints to map vulnerabilities across frameworks, components, and applications.
Email Exposure
Identify corporate email addresses exposed online using search engines and third-party aggregation platforms, enabling continuous and automated discovery of email-based attack surfaces.
Sensitive Data Exposure
Detect code leaks, document exposure, and other incidents in real time through monitoring of dark web markets, forums, and messaging platforms, enabling timely response to data leakage risks.
Risk Assessment
Asset Risk Assessment
AS EASM supports both passive vulnerability detection and active scanning with detailed fingerprints and advanced web vulnerability assessment, covering misconfigurations, exposed services, and phishing sites.
Data Risk Assessment
Identify sensitive data such as credentials, source code, and configurations, assessing the security impact of data leaks to protect critical business information.
Social Engineering Risk Assessment
Combine AS BAS validation capabilities with EASM data to evaluate employee awareness and reduce risks from exposed email accounts.
Third-Party & Supply Chain Risk Assessment
Evaluate risks from insecure components, vendor backdoors or zero-days, outsourced workforce exposure, and supplier-related data breaches.
Mobile Application Risk Assessment
Assess mobile applications for sensitive data leakage and identify risks from counterfeit or malicious apps.
A self-developed C/S-based distributed scanning framework. By deploying numerous scanning engine nodes, it delivers high performance and high concurrency to dramatically improve scanning efficiency.
Comprehensive scope—map all downstream subsidiaries; comprehensive asset data—collect attack-surface signals from multiple sources; comprehensive risk view—full visibility into external risks.
Rich fingerprint data with active scanning plus passive identification ensures risky assets cannot hide; extensive historical high-risk vulnerability data with complete details and PoC-based detection plugins enables one-click discovery of vulnerable assets.
Through operational feedback, MiYing continuously learns organization-related asset data to improve discovery accuracy and reduce false positives.