Communication Exposure

5 automated security scanners

Internal Communications Archives

Purpose: The Internal Communications Archives Scanner is designed to identify and alert about publicly accessible mailing list archives, discussion forums, and historical communications that may contain sensitive information, unauthorized access logs, or other security vulnerabilities. This tool helps organizations safeguard their internal communications from potential leaks and breaches by detecting exposure points where sensitive data might be exposed.

What It Detects:

Mailing List Archives Exposure: Identifies publicly accessible mailing list archives containing sensitive data that could lead to privacy violations or unauthorized access.
Discussion Forum Leaks: Detects exposed discussion forum content revealing internal strategies, confidential discussions, and unpatched vulnerabilities which can be exploited by malicious actors.
Historical Communication Breaches: Finds historical communications that have been leaked, potentially exposing sensitive information about past security incidents or company strategies.
Vulnerability Indicators in Archives: Scans archives for known CVEs (Common Vulnerabilities and Exposures), malware indicators, and other threat patterns which could indicate ongoing security risks.
Unauthorized Access Patterns: Identifies signs of unauthorized access within the detected communications, highlighting potential security breaches or misconfigurations.

Inputs Required:

domain (string): Primary domain to analyze (e.g., acme.com) - This parameter is essential for scanning and identifying relevant archives on the specified domain.
company_name (string): Company name for statement searching (e.g., “Acme Corporation”) - Including the company name helps in more accurate detection of internal communications that might contain sensitive information related to the organization.

Business Impact: This scanner is crucial for maintaining the confidentiality, integrity, and availability of an organization’s internal communication channels. By detecting potential leaks or breaches early, organizations can mitigate risks associated with unauthorized access to sensitive data, which could lead to significant financial losses, legal repercussions, and damage to reputation.

Risk Levels:

Critical: Exposure of highly confidential discussions or detailed vulnerability disclosures that could be exploited by advanced adversaries.
High: Discovery of publicly accessible archives containing sensitive personal information or critical security vulnerabilities.
Medium: Identification of less sensitive but still private company communications that have been exposed online.
Low: Minor exposure in historical logs, which might not pose a significant risk unless combined with other indicators.
Info: General presence of known threat indicators without clear evidence of harm or confidentiality breach.

Example Findings:

A publicly accessible mailing list archive containing emails discussing upcoming product releases and pricing strategies that could be exploited by competitors.
An exposed discussion forum thread revealing unpatched vulnerabilities in the company’s network infrastructure, which might be used by hackers to gain unauthorized access.

Meeting Notes Recordings

Purpose: The Meeting Notes Recordings Scanner is designed to identify potential exposure of sensitive information within meeting notes recordings. It assesses these recordings for vulnerabilities, malware indicators, unauthorized access attempts, and other threats that could be inadvertently leaked by malicious actors. This tool helps ensure the security posture by detecting any data leakage from internal communications.

What It Detects:

Vulnerability Indicators: The scanner looks for patterns such as CVE-[0-9]{4}-[0-9]+, which are indicators of known vulnerabilities in software or systems.
Malware and Ransomware Indicators: It detects the presence of terms like “malware,” “ransomware,” and “trojan” to identify potential malware or ransomware threats within the recordings.
Command and Control (C2) Indicators: The scanner searches for patterns related to command and control activities, including mentions of “command and control server,” “C2 traffic,” and similar terms.
Phishing and Credential Harvesting Indicators: It identifies potential phishing attempts and credential harvesting operations by searching for the terms “phishing” and “credential harvesting.”
Exposure Indicators: The scanner detects indicators of data exposure, such as mentions of “exposed data,” “leaked credentials,” and “unauthorized access,” which suggest possible data breaches or unauthorized disclosures.

Inputs Required:

domain (string): This is the primary domain to be analyzed, providing the context for where the meeting notes recordings are hosted.
company_name (string): The name of the company helps in searching specific terms related to internal communications within the organization.

Business Impact: Identifying and mitigating potential data leaks from internal meetings can significantly enhance an organization’s security posture by preventing unauthorized access to sensitive information. This proactive approach is crucial for safeguarding against cyber threats that could lead to significant financial losses, legal repercussions, and damage to reputation.

Risk Levels:

Critical: Findings that directly indicate critical vulnerabilities or severe data breaches should be considered critical. These include exact matches of known CVE numbers and clear evidence of unauthorized access or substantial data exposure.
High: High severity findings involve significant risks such as widespread malware presence, high volumes of phishing attempts, or major data exposures that could lead to substantial damage if exploited by malicious actors.
Medium: Medium risk findings are those with moderate impact but still pose a potential threat, requiring mitigation strategies to reduce the risk without immediate critical consequences.
Low: Low severity findings may include less significant risks such as minor phishing attempts or isolated instances of unauthorized access that do not significantly affect the organization’s security posture.
Info: Informational findings are those that while indicating a potential issue, do not pose an immediate threat and can be addressed in future improvements or audits.

Example Findings:

A meeting note contained the CVE number “CVE-2023-12345,” which indicated a known vulnerability in one of the company’s software systems.
The recording mentioned multiple instances of malware and ransomware terms, suggesting potential security incidents that require immediate attention to prevent further data exposure or system compromise.

Support Ticket Exposure

Purpose: The Support Ticket Exposure Scanner is designed to identify and alert about potential public exposure of sensitive information within support ticketing systems. This includes detecting publicly accessible URLs, customer personal identifiable information (PII), detailed case information, and mentions of vulnerabilities that could be exploited by malicious actors.

What It Detects:

Publicly Accessible Support Tickets: Identifies URLs that are not secured or require authentication to access support tickets.
Customer Information Leakage: Scans for the exposure of personal data such as names, email addresses, and phone numbers in publicly accessible ticket systems.
Case Details Exposure: Uncovers detailed case information which might be used for unauthorized activities like identity theft or escalation of privileges.
Vulnerability Indicators in Tickets: Detects mentions of known vulnerabilities, common vulnerability and exposure (CVE) identifiers that could indicate potential security risks.

Inputs Required:

domain (string): The primary domain to analyze for support ticket systems (e.g., acme.com).
company_name (string): The company name used for specific search queries related to the organization’s details within tickets.

Business Impact: This scanner is crucial as it helps in preventing unauthorized access to sensitive data, which could lead to significant financial losses and damage to a company’s reputation due to potential misuse of leaked information. It also aids in identifying potential security vulnerabilities that can be exploited by malicious actors.

Risk Levels:

Critical: Exposure of PII without any form of encryption or authentication mechanisms is considered critical, as it poses an immediate threat to the confidentiality and integrity of sensitive data.
High: The exposure of detailed case information with minimal protection could lead to unauthorized access and potential misuse by malicious individuals seeking to exploit such details for fraudulent activities.
Medium: Vulnerabilities in ticket systems that are not patched or secured can be exploited over time, posing a medium risk as they might become more dangerous if left unchecked.
Low: Informational findings regarding known vulnerabilities could initially seem less severe but should still be addressed to maintain a secure environment.
Info: While these are not directly risky, the continuous monitoring for such indicators helps in maintaining an up-to-date security posture and proactive threat detection.

Example Findings:

A publicly accessible ticket system with URLs containing sensitive information about customers’ names and email addresses.
An unsecured case detail page exposing a unique identifier that could be used to impersonate the customer for fraudulent purposes.

Email Thread Leakage

Purpose: The Email Thread Leakage Scanner is designed to identify and alert users about potential risks associated with forwarded email threads, BCC (Blind Carbon Copy) exposures, list archives, and threats that could lead to data breaches or unauthorized access.

What It Detects:

Forwarded Threads: Identifies emails that have been forwarded multiple times, which can indicate the spread of sensitive information.
BCC Exposures: Detects emails sent with BCC fields, which may inadvertently expose recipients to unauthorized parties.
List Archives: Scans for publicly accessible email list archives that could contain historical communications and sensitive data.
Threat Indicators: Looks for known vulnerabilities and malicious activities using threat intelligence feeds.
Exposure Indicators: Identifies patterns indicating data exposure or breaches.

Inputs Required:

domain (string): The primary domain to analyze, such as acme.com. This helps in searching relevant email threads and archives within the specified domain.
company_name (string): The company name for statement searching, e.g., “Acme Corporation”. This is used to contextualize search queries and identify potential sensitive information related to the company.

Business Impact: Detecting forwarded emails, BCC exposures, and list archives that may contain sensitive information is crucial as it directly impacts data security and compliance with regulations such as GDPR or HIPAA. Unauthorized access to this information can lead to significant financial losses, legal repercussions, and damage to reputation.

Risk Levels:

Critical: Conditions that would be considered critical include the discovery of emails containing explicit indications of unauthorized access (e.g., “unauthorized access”) or data breaches (e.g., “data dump”). These findings suggest immediate attention as they pose a high risk of sensitive information exposure.
High: Conditions such as forwarded threads and BCC exposures, while not critical, still represent significant risks as they can lead to the inadvertent disclosure of sensitive information.
Medium: This category might include less severe conditions like potential list archives that could contain historical but potentially sensitive data. These findings require attention but are less urgent than those at higher risk levels.
Low: Informational findings such as generic threat indicators not clearly defined in the example may be considered low risk unless they show clear signs of vulnerability or malicious activity.
Info: This category would include purely informational findings that do not directly indicate a security issue but could still warrant awareness, such as general mentions of data exposure without specific details.

Example Findings:

A forwarded email thread containing sensitive customer data marked as critical due to potential unauthorized access.
An archived email list on a public server potentially exposing internal company discussions at high risk for data breaches.

Chat History Public Dumps

Purpose: The Chat_History_Public_Dumps Scanner is designed to identify and alert users about publicly available chat history dumps from various platforms such as Slack, Microsoft Teams, Intercom, and Drift. These dumps may contain sensitive company information including internal communications, project details, and confidential data which could lead to unauthorized exposure if not properly secured.

What It Detects:

Slack Export Detection: Identifies URLs or file names containing “slack export” and looks for specific patterns such as messages.json and channels.json indicating Slack data dumps.
Microsoft Teams Transcript Detection: Searches for URLs or file names with “teams transcript” and detects patterns related to Teams chat history, including chat_history.txt, transcript.html.
Intercom Log Detection: Identifies URLs or file names containing “intercom log” and searches for specific data dump files like conversations.json and logs.txt.
Drift Log Detection: Searches for URLs or file names with “drift log” and detects patterns related to Drift chat history, such as chat_logs.csv and drift_data.json.
General Chat History Indicators: Looks for generic indicators like chat_history.txt, conversations.log and identifies common file extensions used in chat dumps (.json, .csv, .txt).

Inputs Required:

domain (string): The primary domain of the company’s website to be analyzed for potential exposure of sensitive information through public chat history dumps.
company_name (string): The official name of the company whose data might be contained in the detected dumps, used for context and search specificity.

Business Impact: Identifying and addressing publicly available chat history dumps is crucial as it directly impacts a company’s confidentiality, integrity, and availability of information. Unauthorized access to such sensitive data can lead to significant legal, financial, and reputational damages.

Risk Levels:

Critical: Conditions that could result in immediate exposure of highly confidential company information through public chat history dumps are considered critical. This includes direct links or file names containing specific keywords related to the platforms mentioned.
High: Conditions where sensitive data might be exposed, such as generic indicators for chat history files and certain patterns indicating platform exports, are considered high risk.
Medium: Lower risk conditions include broader search terms that could indicate exposure but less critical than those at higher risk levels.
Low: Informational findings involve general search queries that do not directly point to specific data dumps but might suggest a need for further investigation into potential risks.
Info: Any findings that are purely informational and do not pose an immediate threat, such as generic file names or less specific platform indicators.

Example Findings: The scanner might flag instances where chat_history.txt is found on the domain, indicating a possible exposure of internal chat logs; or identify URLs containing patterns like “slack export” but without direct access to the data itself, suggesting potential risks for further investigation.