Criminal IP functions as a cyber threat intelligence search engine designed to identify real-time vulnerabilities in both personal and corporate digital assets, enabling users to engage in proactive measures. The concept behind this platform is that by acquiring insights into potentially harmful IP addresses beforehand, individuals and organizations can significantly enhance their cybersecurity posture. With a vast database exceeding 4.2 billion IP addresses, Criminal IP offers crucial information related to malicious entities, including harmful IP addresses, phishing sites, malicious links, certificates, industrial control systems, IoT devices, servers, and CCTVs. Through its four primary features—Asset Search, Domain Search, Exploit Search, and Image Search—users can effectively assess risk scores and vulnerabilities linked to specific IP addresses and domains, analyze weaknesses for various services, and identify assets vulnerable to cyber threats in visual formats. By utilizing these tools, organizations can better understand their exposure to cyber risks and take necessary actions to safeguard their information.
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Astra's Pentest offers a thorough approach to penetration testing, combining an advanced vulnerability scanner with detailed manual testing services.
This automated scanner executes over 10,000 security assessments, addressing all CVEs highlighted in the OWASP top 10 and SANS 25, while also fulfilling the necessary evaluations for ISO 27001 and HIPAA compliance.
Users benefit from an interactive pentest dashboard that facilitates vulnerability analysis visualization, allows for the assignment of vulnerabilities to team members, and encourages collaboration with security experts.
Additionally, for users who prefer not to navigate back to the dashboard repeatedly, Astra provides integrations with CI/CD platforms and Jira, streamlining the process of vulnerability management and assignment.
This seamless integration enables teams to efficiently address security concerns without disrupting their workflow.
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ZeroPath
ZeroPath is the AI-native SAST that finds vulnerabilities traditional tools miss. We built it because security shouldn't overwhelm developers with noise.
Unlike pattern-matching tools that flood you with false positives, ZeroPath understands your code's intent and business logic. We find authentication bypasses, IDORs, broken auth, race conditions, and business logic flaws that actually get exploited and missed by traditional SAST tools. We auto-generate patches and pull requests that match your project's style.
75% fewer false positives, 200k+ scans run per month, and ~120 hours saved per team per week. Over 750 organizations use ZeroPath as their new AI-native SAST.
Our research has uncovered critical vulnerabilities in widely-used projects like curl, sudo, OpenSSL, and Better Auth (CVE-2025-61928). These are the kinds of issues off-the-shelf scanners and manual reviews miss, especially in third-party dependencies.
ZeroPath is an all-in-solution for your AppSec teams:
1. AI-powered SAST
2. Software Composition Analysis with reachability analysis
3. Secrets detection and validation
4. Infrastructure as Code scanning
5. Automated PR reviews
6. Automated patch generation
and more...
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Saner CVEM
SecPod Saner CVEM is a continuous vulnerability and exposure management platform that helps organizations identify, understand, prioritize, and remediate security risks from one prevention-focused workflow. The platform brings together vulnerability management, asset discovery, endpoint management, compliance management, patch management, posture anomaly detection, exposure analysis, and risk prioritization in a single console. Saner CVEM gives security teams a broader view of exposure by detecting not only CVEs, but also configuration drifts, posture anomalies, compliance gaps, shadow IT, unmanaged devices, and risky changes across hardware and software. Its AI-powered asset visibility helps organizations continuously discover managed and unmanaged assets, enrich inventories, and track changes across endpoints, servers, cloud services, and operating systems. Machine-learning anomaly detection monitors more than 100 device parameters to surface unusual processes, kernel changes, unauthorized scheduled tasks, and other deviations that traditional scanners may miss. The platform uses SSVC-aligned prioritization along with EPSS, CISA KEV, asset criticality, business context, MITRE ATT&CK mapping, and CWE mapping to help teams focus on risks that can cause real damage. Saner CVEM supports continuous SCAP and OVAL-based vulnerability scanning across multiple operating systems and more than 550 third-party applications. Its integrated remediation capabilities allow teams to move from detection to patch deployment without relying on disconnected tools or complex manual workflows. Organizations can use the platform to improve patch compliance, reduce known and unknown risks, strengthen audit readiness, and lower remediation backlogs.
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