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Security Partnership Exposure

5 automated security scanners


Purpose: The Co-Marketing Security Exposure Scanner is designed to identify and alert about potential risks associated with the inadvertent disclosure of sensitive security information through joint promotion details, collaborative content, shared case studies, technical stack disclosures, and certification claims. This tool helps organizations safeguard their intellectual property and comply with regulatory standards by detecting and mitigating exposure of confidential data.

What It Detects:

  • Joint Promotion Detail Revelation: Identifies mentions of co-marketing campaigns or partnerships that may reveal sensitive information about external partners.
  • Collaborative Content Exposure: Looks for shared content such as blog posts, whitepapers, or webinars which could contain valuable security details when exposed to unauthorized parties.
  • Shared Case Study Disclosure: Finds references to case studies involving joint efforts with other companies, potentially exposing detailed methodologies and outcomes that are critical from a security perspective.
  • Technical Stack Disclosure: Identifies mentions of specific technologies used in co-marketing activities, which could indicate proficiency in handling sensitive information related to cloud solutions and infrastructure management tools.
  • Certification Claims: Detects claims regarding certifications held by the company or its partners, revealing compliance with strict security standards and practices.

Inputs Required:

  • domain (string): The primary domain of the organization under analysis, which helps in searching for relevant promotional materials and disclosures across different sections of the website.
  • company_name (string): Specifies the name of the company to search within content for specific mentions related to co-marketing efforts, collaborations, and certifications.

Business Impact: This scanner is crucial as it aids in preventing unauthorized disclosure of sensitive security information that could lead to significant financial losses, legal repercussions, and damage to reputation. It also supports compliance with various regulatory standards such as SOC 2 Type I/II, ISO 27001, and PCI DSS by ensuring transparency and awareness about the technology stack used internally and externally in promotional activities.

Risk Levels:

  • Critical: Findings that directly expose detailed information about joint promotion campaigns, collaborative projects, or shared case studies can be critical if they lead to unauthorized access or exposure of sensitive data.
  • High: Disclosures related to specific technologies or certifications could pose high risks if misused by competitors or malicious actors seeking to exploit vulnerabilities in the company’s security posture.
  • Medium: Informational findings that might indicate a lack of awareness about potential risks associated with shared content should be monitored closely as they can lead to increased exposure over time.
  • Low: Minimal risk, but still noteworthy if found during routine scans, these could include minor disclosures or mentions not directly exposing sensitive information.
  • Info: These are generally non-critical findings that might indicate ongoing practices without significant security implications unless coupled with other indicators of higher risks.

If the README doesn’t specify exact risk levels, infer them based on the scanner’s purpose and impact.

Example Findings:

  • A shared blog post discussing a new partnership strategy with detailed information about technology stack usage could be flagged as critical due to its potential exposure of sensitive security practices.
  • An unintentional mention of an internal project in a case study, if not properly redacted, might pose high risk by revealing details that are crucial for competitors’ strategic planning or vulnerability assessments.

Purpose: The Industry Alliance Membership Exposure Scanner is designed to identify and disclose potential risks associated with a company’s involvement in industry alliances. This tool helps in uncovering sensitive information such as association details, participation levels, commitment scope, technology stack usage, and certification claims that could expose the company’s strategic vulnerabilities and proprietary technologies.

What It Detects:

  • Association Detail Revelation: Identifies mentions of specific industry alliance names or acronyms within company documentation, suggesting potential partnerships or memberships.
  • Participation Level Disclosure: Reveals the extent of involvement in alliances through detailed statements about participation levels and roles within these organizations.
  • Commitment Scope Exposure: Uncovers any specific areas of focus or projects that a company is engaged in as part of its alliance commitments.
  • Technology Stack Disclosure: Detects mentions of technologies used in alliance activities, highlighting the proficiency in relevant tools and platforms.
  • Certification Claims: Reveals claims about certifications related to industry alliances, indicating compliance with specific standards like SOC 2, ISO 27001, PCI DSS, and HIPAA.

Inputs Required:

  • domain (string): The primary domain of the company website for analysis.
  • company_name (string): The official name of the company to search for alliance-related statements within their documentation.

Business Impact: This scanner is crucial as it helps in maintaining a secure posture by identifying and mitigating risks associated with disclosure of sensitive information about industry collaborations. It ensures that no critical details are inadvertently exposed, which could lead to security vulnerabilities or competitive disadvantages.

Risk Levels:

  • Critical: Exposure of highly confidential partnership agreements or detailed participation statements can severely impact strategic planning and partnerships.
  • High: Disclosure of specific technology usage or proficiency levels in sensitive areas can reveal proprietary information and capabilities.
  • Medium: General mentions without specifics could indicate ongoing involvement but might not directly compromise critical assets.
  • Low: Informal mentions about certifications may be considered as compliance indicators, though they do not pose significant risk unless accompanied by detailed information.
  • Info: Non-specific disclosures are generally informational and less likely to impact security significantly unless corroborated with other evidence of deeper involvement.

Example Findings:

  • “Our role in the XYZ Industry Alliance includes strategic planning discussions that could affect future technology investments.”
  • “The company claims compliance with HIPAA, indicating a responsibility for protecting sensitive patient data as part of alliance activities.”

Purpose: The Vendor Logo Association Risk Scanner is designed to identify potential security risks associated with vendor logos and partnerships by analyzing public records and OSINT sources. It aims to detect breach mentions, tech stack disclosures, certification claims, subdomain discovery via Certificate Transparency logs, and security advisories on GitHub.

What This Scanner Detects:

  • Breach Mentions in Public Records: Identifies data breaches, security incidents, unauthorized access, or compromised systems mentioned in public records.
    • Example Patterns: data breach, security incident, unauthorized access, compromised
  • Tech Stack Disclosure on Job Boards and LinkedIn: Detects disclosures of specific technology stacks that may indicate vulnerabilities or security gaps.
    • Example Patterns: experience with AWS, proficiency in Terraform, knowledge of Splunk
  • Certification Claims in Public Documents: Identifies claims of certifications that may be used to mislead about the company’s security posture.
    • Example Patterns: SOC 2, ISO 27001, PCI DSS, HIPAA compliant
  • Subdomain Discovery via Certificate Transparency Logs: Discovers subdomains that may indicate partnerships or third-party services, which could be potential security risks.

Inputs Required:

  • domain (string): The primary domain to analyze (e.g., acme.com)
  • company_name (string): The company name for statement searching (e.g., “Acme Corporation”)

Business Impact: This scanner is crucial as it helps in assessing the security posture of vendors by identifying potential vulnerabilities and risks associated with their logos and partnerships, which can directly impact the integrity and confidentiality of sensitive information.

Risk Levels:

  • Critical: Conditions that lead to significant risk, such as unreported data breaches or unauthorized access points identified without prior notice.
  • High: Conditions indicating high vulnerability, like undisclosed security incidents or certifications not aligned with industry standards.
  • Medium: Conditions suggesting moderate risks, including partial disclosures of technology stacks and certification claims that are partially compliant.
  • Low: Informal findings such as minor discrepancies in tech stack disclosures or inconclusive evidence of partnerships.
  • Info: General information about the company’s public presence without direct security implications.

If specific risk levels are not defined, it can be inferred that Critical and High risks are those with immediate attention due to their potential impact on security.

Example Findings:

  • “Data breach incident reported on acme.com/security-incident”
  • “AWS experience required in job posting found on LinkedIn”
  • “ISO 27001 certification claimed in SEC filing”

Purpose: The Technology Provider Relationship Exposure Scanner is designed to identify and expose potential security risks associated with third-party technology providers by detecting unauthorized use of tools, revealing internal product usage, and exposing detailed implementation practices through public records and OSINT sources. This helps in identifying potential threats that could compromise the security posture of an organization.

What It Detects:

  • Tool Identification Exploitation: Detection of specific tool mentions that could indicate unauthorized use or exploitation such as nmap, metasploit, and sqlmap.
  • Product Usage Revelation: Discovery of product names and usage details that may reveal internal configurations or deployments like aws, azure, gcp, and kubernetes.
  • Implementation Detail Exposure: Identification of detailed implementation practices that could be exploited by attackers including tools like terraform, ansible, docker, splunk, datadog, and elastic.
  • Certification Claims Verification: Detection of certification claims without proper validation or context, such as compliance with standards like SOC 2 Type I/II, ISO 27001, PCI DSS, and HIPAA.
  • Breach Mentions: Identification of mentions related to data breaches, security incidents, and unauthorized access including terms like data breach, security incident, unauthorized access, and compromised.

Inputs Required:

  • domain (string): Primary domain to analyze (e.g., acme.com), which helps in identifying potential risks associated with the technology used on this domain.
  • company_name (string): Company name for statement searching, which is essential for contextually relevant searches and analysis of public records and OSINT sources related to the company’s operations and security practices.

Business Impact: This scanner plays a crucial role in enhancing the security posture of organizations by proactively identifying potential third-party risks that could lead to unauthorized access, data breaches, or other security incidents. By addressing these vulnerabilities early on, organizations can mitigate significant threats and protect their sensitive information and systems from exploitation.

Risk Levels:

  • Critical: Detection of specific tools like metasploit indicating potential malicious use or unauthorized exploitation.
  • High: Discovery of detailed implementation practices that could be exploited by attackers such as mentions of internal configurations using tools like terraform.
  • Medium: Revelations related to product usage and compliance claims without proper validation, which might indicate inadequate security measures.
  • Low: Informal mentions or minor tool usages that do not directly compromise security but are indicative of potential risks in technology provider relationships.
  • Info: General information retrieval about company operations from public sources, providing basic insights into the organization’s technological footprint without direct risk assessment.

If specific conditions for each risk level are not detailed in the README, these descriptions are inferred based on the purpose and impact of the scanner.

Example Findings: The scanner might flag unauthorized usage of sqlmap indicating potential security risks associated with a third-party tool’s use within an organization. Additionally, it could detect mentions of internal configurations using tools like terraform, which highlight detailed implementation practices that are crucial for assessing the overall risk profile in technology provider relationships.


Purpose: The Security Service Provider Disclosure Scanner is designed to identify potential security risks associated with over-sharing sensitive information about a company’s security services and infrastructure by detecting mentions of data breaches, service scope exposure, and detailed technology disclosures through public records and OSINT sources.

What It Detects:

  • Breach Mentions: Identifies mentions of data breaches, security incidents, unauthorized access, or compromised systems in the company’s public statements and websites.
  • Technology Stack Disclosure: Detects disclosure of specific technologies used by the company, such as cloud providers (AWS, Azure, GCP), container orchestration tools (Kubernetes), and monitoring solutions (Splunk, Datadog, Elastic).
  • Certification Claims: Identifies claims of various certifications including SOC 2, ISO 27001, PCI DSS, and HIPAA compliance in the company’s public documents.
  • Subdomain Discovery: Discovers subdomains associated with the company’s domain using Certificate Transparency logs to understand broader service coverage and potential exposure areas.
  • Job Board Technology Stack Disclosure: Scans job postings for mentions of specific technologies, indicating potential service scope and implementation details that might be disclosed publicly.

Inputs Required:

  • domain (string): The primary domain to analyze, such as acme.com, which helps in identifying relevant public records and statements.
  • company_name (string): The company name is used for searching SEC filings and other related documents that might contain certification claims or mentions of security incidents.

Business Impact: Detecting over-disclosure of sensitive information about a company’s security services can lead to increased vulnerability to targeted attacks, unauthorized access attempts, and potential data breaches. This not only affects the immediate security posture but also sets a precedent for future cybersecurity practices within the organization.

Risk Levels:

  • Critical: Conditions that directly reveal detailed implementation technologies or specific incidents like “data breach” in public statements are critical risks.
  • High: Claims of certifications and mentions of unauthorized access, which can lead to increased exposure of service scope and technology usage.
  • Medium: General mentions without specifics could be considered medium risk if they indicate a broader pattern of over-sharing information.
  • Low: Informational findings about technologies used might not pose immediate risks but are indicative of potential practices that need review for compliance and security best practices.
  • Info: Any public mention or disclosure that does not directly impact the criticality of the above categories falls under informational risk levels.

Example Findings:

  • “We have identified a data breach incident reported on our website.” - This finding is critical as it indicates an unauthorized access and potential exposure of sensitive information.
  • “Experience with AWS in our infrastructure setup” - While not severe, this could be considered medium risk if the company aims for specific certification requirements like SOC 2 Type II compliance.