Attack Orchestration

5 automated security scanners

Continuous Exploitation

Purpose: The Continuous Exploitation Scanner is designed to detect persistent targeting, automated retry mechanisms, and failure adaptation in cyber-attacks by analyzing threat intelligence feeds to identify ongoing attempts to exploit vulnerabilities.

What It Detects:

Detection of repeated scans or attacks on the same domain/IP over time (Persistent Targeting Indicators).
Recognition of multiple failed and subsequent successful attempts to exploit vulnerabilities (Automated Retry Mechanisms).
Changes in attack methods after initial failures (Failure Adaptation Patterns).
Matching identified vulnerabilities against the CISA KEV list to highlight critical exploited weaknesses (Known Exploited Vulnerabilities).
Analysis of threat intelligence feeds for known malicious activities or indicators of compromise (Threat Intelligence Indicators).

Inputs Required:

domain (string): Primary domain to analyze (e.g., acme.com) - This is the essential input that specifies the target domain for analysis.

Business Impact: Continuous exploitation attempts pose a significant threat to enterprise security, as they can lead to unauthorized access and data breaches. Detecting such activities early helps in mitigating potential damage and enhancing overall cybersecurity posture.

Risk Levels:

Critical: The scanner identifies persistent targeting of critical vulnerabilities with no evidence of remediation or change in tactics.
High: Repeated failed attempts followed by successful exploitation, indicating automated scanning tools are being used.
Medium: Minimal changes in attack methods but consistent targeting of specific exploits.
Low: Isolated instances of known exploited vulnerabilities without significant impact on security posture.
Info: Informational findings about domain reputation and abuse indicators that do not directly affect critical systems or data integrity.

Example Findings:

The scanner detects repeated scans on a company’s primary domain over several months, indicating potential persistent targeting.
A successful exploitation attempt followed by multiple failed attempts to the same vulnerability suggests automated retry mechanisms are in play.

Automated Exploitation Frameworks

Purpose: The Automated Exploitation Frameworks Scanner is designed to detect and analyze the integration of vulnerability scanning tools, exploit sequencing, and post-exploitation automation within a target domain. It aims to identify potential attack orchestration activities by analyzing threat intelligence feeds and correlating domain information with known exploited vulnerabilities and malicious activities.

What It Detects:

Vulnerability Scanning Integration: Identifies patterns indicating automated vulnerability scans, looking for specific CVE identifiers in public reports or logs.
Exploit Sequencing Indicators: Detects sequences of exploit attempts based on timestamped data, analyzing the chaining of different exploits targeting a single domain.
Post-Exploitation Automation: Identifies signs of automated post-exploitation activities such as lateral movement, data exfiltration, and command execution. It also looks for patterns indicating use of tools like Cobalt Strike or Metasploit.
Threat Intelligence Correlation: Cross-references domain information with threat intelligence feeds to identify known exploited vulnerabilities and malicious activities, checking against CISA KEV, Shodan, VirusTotal, and AbuseIPDB databases.
Dark Web Monitoring: Scans dark web sources for mentions of the target domain in relation to breaches or exploits, identifying potential indicators of compromise (IOCs) shared on underground forums.

Inputs Required:

domain (string): Primary domain to analyze (e.g., acme.com).

Business Impact: This scanner is crucial for organizations aiming to enhance their cybersecurity posture by proactively detecting and responding to potential cyber threats. It helps in identifying vulnerabilities that could be exploited, understanding the sequence of attacks, and monitoring post-exploitation activities, which are critical for maintaining a secure digital environment.

Risk Levels:

Critical: The scanner identifies specific CVE identifiers or detects highly sophisticated attack sequences indicating immediate attention is required to mitigate potential damage.
High: The scanner detects widespread vulnerability scanning or significant exploit attempts that pose a high risk of data breach or system compromise.
Medium: The scanner identifies isolated instances of exploitation or moderate risk activities requiring remediation within an acceptable timeframe.
Low: The scanner flags routine activity or minor vulnerabilities that can be addressed as part of ongoing security monitoring and maintenance tasks.
Info: The scanner provides informational findings about potential risks, which may not directly impact operations but are useful for strategic planning in cybersecurity initiatives.

Example Findings:

A domain is identified scanning for known vulnerable versions of software, indicating an automated vulnerability scan potentially exposing the organization to multiple threats.
Evidence of exploit attempts targeting specific vulnerabilities within the organization’s network, suggesting a potential breach scenario that requires immediate investigation and mitigation.

Multi-Channel Coordination

Purpose: The Multi-Channel Coordination Scanner is designed to identify cross-platform automation and multi-vector synchronization in cyber attacks by analyzing threat intelligence feeds from various sources to identify coordinated attack patterns across different channels.

What It Detects:

Detection of automated scripts or tools used across multiple platforms.
Identification of synchronized activities involving different types of malware, ransomware, or trojans.
Recognition of coordinated attacks using multiple attack vectors such as phishing, credential harvesting, and command-and-control (C2) communications.
Analysis of simultaneous exploits targeting various services and vulnerabilities.
Monitoring for indicators of exposed services, leaked data, or unauthorized access attempts.
Detection of command-and-control (C2) server communications across different domains and IP addresses.

Inputs Required:

domain (string): Primary domain to analyze (e.g., acme.com). This is the essential input that specifies the target for analysis.

Business Impact: This scanner plays a crucial role in enhancing cybersecurity by identifying potential coordinated attacks across multiple platforms and channels, which can help organizations mitigate risks associated with advanced persistent threats and protect their critical infrastructure from exploitation.

Risk Levels:

Critical: The scanner identifies known exploited vulnerabilities in exposed services or detects unauthorized access attempts that could lead to immediate data breaches or system compromise.
High: It detects synchronized C2 communications across different domains, indicating a high level of coordination and potential significant impact on the target environment.
Medium: The presence of malware, ransomware, or trojans detected across multiple platforms suggests a medium risk, as it could lead to data loss or service disruption.
Low: Informational findings such as exposed services without immediate threat may be considered low risk unless they are part of a larger coordinated attack pattern.
Info: These include general exposure indicators and do not necessarily pose an immediate threat but should still be monitored for potential future risks.

Example Findings:

The scanner identifies multiple instances of malware activity on different platforms, suggesting a high level of automation and possible coordination in the cyber attack.
It detects synchronized C2 communications from compromised systems across various IP addresses, indicating a high-level coordinated effort to control and manipulate these systems for malicious purposes.

Evasion Automation

Purpose: The Evasion Automation Scanner is designed to identify and detect automated attack orchestration tactics that aim to evade detection by varying the source of attacks. This includes dynamic IP rotation, user agent cycling, and timing randomization.

What It Detects:

Dynamic IP Rotation: Identifies repeated access attempts from multiple IP addresses within a short timeframe, indicating that the same user or session is rotating through different IPs to avoid detection.
User Agent Cycling: Recognizes variations in user agent strings used to mimic legitimate browsers or devices, which can be flagged if they do not align with typical user behavior.
Timing Randomization: Analyzes the timing of requests to detect irregular patterns indicative of automated attacks, such as bursts of traffic followed by long periods of inactivity.

Inputs Required:

domain (string): The primary domain to analyze, which helps in identifying associated IP addresses and user agents for further analysis.

Business Impact: This scanner is crucial for organizations aiming to enhance their security posture against automated attacks that aim to evade detection through evasion techniques such as dynamic IP rotation, user agent cycling, and timing randomization. By identifying these tactics early, organizations can implement preventive measures to mitigate potential threats effectively.

Risk Levels:

Critical: Findings include IPs associated with known exploits or poor reputation scores from VirusTotal.
High: Identifies frequent changes in user agents that do not align with typical user behavior.
Medium: Detects irregular patterns in network traffic, such as unexpected spikes in requests or access from geographically diverse locations.
Low: Informational findings include IPs associated with the target domain but no significant malicious activity detected beyond normal usage deviations.
Info: Provides basic information about IP addresses and user agents for awareness and can be used to inform security policies.

Example Findings:

A system consistently accessing from different IP addresses, which could indicate an attempt at evasion.
Frequent changes in user agent strings that do not match typical browser usage patterns, potentially indicating automated activity.

Kill Chain Orchestration

Purpose: The Kill Chain Orchestration Scanner is designed to detect multi-stage attack automation and lateral movement scripting by analyzing domain-related threat intelligence feeds. It aims to identify potential indicators of compromise, known vulnerabilities, and malicious activities associated with the domain in question.

What It Detects:

CVE Indicators: Identifies Common Vulnerabilities and Exposures (CVE) in the domain’s services and systems, using a pattern that matches CVE-[0-9]{4}-[0-9]+.
Malware Indicators: Detects mentions of malware, ransomware, or trojans related to the domain, identified by patterns such as malware, ransomware, and trojan.
Command and Control (C2) Indicators: Identifies references to command and control servers or infrastructure using patterns like command\\s*(?:and|&)\\s*control and aliases c2 and c&c.
Phishing and Credential Harvesting Indicators: Detects signs of phishing attacks or credential harvesting activities, detected by patterns such as phishing and credential\\s+harvesting.
Exposure Indicators: Identifies indicators of data exposure, unauthorized access, or breaches, indicated by phrases like exposed, leaked, breached, unauthorized\\s+access, and data\\s+dump.

Inputs Required:

domain (string): The primary domain to analyze, such as acme.com, which is essential for gathering threat intelligence data.

Business Impact: This scanner plays a crucial role in enhancing the security posture of organizations by proactively detecting potential threats associated with compromised domains. It helps in identifying vulnerabilities and malicious activities that could lead to unauthorized access, data breaches, and other significant risks.

Risk Levels:

Critical: The scanner identifies critical issues such as unpatched systems exposed to known exploits or high-risk CVEs that are actively exploited in the wild.
High: Significant vulnerabilities or indicators of malware, ransomware, or trojans present in the domain’s infrastructure and services.
Medium: Vulnerabilities that may not be directly exploitable but still pose a risk through credential harvesting or unauthorized access attempts.
Low: Informal findings such as exposure to common phishing techniques or minor vulnerabilities that are less likely to lead to significant security incidents.
Info: General information about the domain’s reputation and network activity, which does not directly affect security but can be useful for monitoring purposes.

Example Findings:

A critical vulnerability in a web application (CVE-2021-44228) that could allow remote code execution, indicating a high risk of unauthorized access and data theft.
Evidence of credential harvesting scripts running on compromised systems, which is indicative of active phishing campaigns targeting sensitive information.