+Information Output Filtering

Information Output Filtering

Description

Mechanisms exist to validate information output from software programs and/or applications to ensure that the information is consistent with the expected content.

Possible Solutions & Considerations

Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2

∙ Basic output encoding/validation in any developed applications (OWASP guidance)

Small Business (10-49 staff) / BLS Firm Size Classes 3-4

∙ Secure coding standard includes output validation and encoding
∙ Use of frameworks with built-in output encoding

Medium Business (50-249 staff) / BLS Firm Size Classes 5-6

∙ Secure coding standard (OWASP ASVS) with output validation requirements
∙ Code review and SAST for output handling

Large Business (250-999 staff) / BLS Firm Size Classes 7-8

∙ Output validation and encoding requirements in the SSDP
∙ SAST/DAST checks for output handling defects
∙ Data integrity checks on application outputs

Enterprise (> 1,000 staff) / BLS Firm Size Class 9

∙ Enterprise secure development standards enforcing output validation, encoding and integrity checks
∙ Automated testing in CI/CD for output handling
∙ Runtime application protection

SCR-CMM

Level 0 Not Performed

Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.

Level 1 Performed Informally

Secure Engineering & Architecture (SEA) domain capabilities are ad hoc and inconsistent. Capability criteria associated with this control may include:
▪ Policies, standards & procedures associated with SEA domain capabilities provide limited coverage due to the depth and breadth of the existing documentation.
▪ Security engineering-related activities are decentralized (e.g., a localized/regionalized function) and uses non-standardized methods to implement secure, resilient and compliant practices.
▪ IT and/or cybersecurity personnel use an informal process to design, build and maintain secure, compliant and resilient solutions.

Level 2 Planned Tracked

Secure Engineering & Architecture (SEA) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with SEA domain capabilities are formally documented and centrally-managed by the entity.
▪ Standardized Operating Procedures (SOP) associated with SEA domain capabilities are documented and maintained by process owners.
▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with SEA domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD).
▪ Secure engineering and architecture-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines).
▪ Secure engineering and architecture management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.
▪ IT and/or cybersecurity personnel define entity-specific secure engineering practices to protect the Confidentiality, Integrity, Availability and Safety (CIAS) of the entity's TAASD.
▪ IT and/or cybersecurity personnel align secure engineering practices with the entity's broader IT architecture practices.
▪ IT and/or cybersecurity personnel use secure engineering practices to influence Secure Baseline Configurations (SBC).

Level 3 Well Defined

Secure Engineering & Architecture (SEA) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Policies and standards associated with SEA domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function.
▪ Standardized Operating Procedures (SOP) associated with SEA domain capabilities are well-documented and kept current by process owners.
▪ A cybersecurity engineering / architecture team, or similar function, is appropriately staffed and supported to implement and maintain RSK domain capabilities.
▪ Technology is leveraged to enhance the efficiency and accuracy of secure engineering management operations (e.g., project management solution).
▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with SEA domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls).
▪ Secure Baseline Configurations (SBC) enforce the secure engineering principles on all applicable Technology Assets, Applications and/or Services (TAAS).
▪ An implemented and operational capability exists to validate information output from software programs and/or applications to ensure that the information is consistent with the expected content.

Level 4 Quantitatively Controlled

Utilize SCR-CMM Level 3 criteria definitions:
▪ There are no defined Level 4 criteria, since it is reasonable to assume a quantitatively-controlled process is not necessary to operationalize this control.
▪ While it may be possible to develop “metrics-driven” capabilities for this control, the criteria would be organization-specific to define.

Level 5 Continuously Improving

Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions:
▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control.
▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies.
▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.

1. Ħarsa ġenerali

Titlu Standard

1.1 Referenzi

1.2 Rekwiżiti identifikati

1.3 Regolamenti relatati

2. Rekwiżiti identifikati

Rekwiżiti
Sors Rekwiżit

3. Regolamenti relatati

Regolamenti
Sors Regolamentazzjoni

Kwistjonijiet marbuta

Links
Tip ta’ link Kwistjoni
is related to Annual
is related to relative Control Weighting = 09
is related to Technology
is related to Protect
is related to SCRM Focus Tier 2 OPERATIONAL
is related to SCRM Focus Tier 3 TACTICAL
blocks Unauthorized Retention / Inability to Dispose of Data
blocks Revenue Loss
blocks Contractual Default / Termination
blocks Loss of Competitive Advantage
blocks Reputational Harm / Loss of Stakeholder Trust
blocks Regulatory / Legal / Contractual Financial Liability
blocks Uncontrolled Internal Security / Privacy Exposure
blocks Uncontrolled Third-Party Security / Privacy Exposure
blocks Lack of oversight of internal controls
blocks Lack of oversight of third-party controls
blocks Lack of a security-minded workforce
blocks Third-Party Cybersecurity Compromise / Exposure
blocks Third-Party Physical Security Disruption / Exposure
blocks Sub-Tier / Fourth-Party Supply Chain Exposure
blocks Third-Party Legal / Compliance Exposure
blocks Harm from Unauthorized / Unintended Product or Service Use
blocks Third-Party Dependency Failure
blocks Trusted Relationship
is related to relative Control Weighting = 08
is related to Process
blocks SMB/Windows Admin Shares
blocks VNC
blocks Exfiltration Over Alternative Protocol
blocks Exfiltration Over Symmetric Encrypted Non-C2 Protocol
blocks Exfiltration Over Asymmetric Encrypted Non-C2 Protocol
blocks Exfiltration Over Unencrypted Non-C2 Protocol
blocks DNS
blocks Proxy
blocks Multi-hop Proxy
blocks Non-Application Layer Protocol
blocks Forced Authentication
blocks BITS Jobs
blocks Traffic Signaling
blocks Port Knocking
blocks Verclsid
blocks Electron Applications
blocks Remote Access Tools
blocks Network Denial of Service
blocks Direct Network Flood
blocks Reflection Amplification
blocks Endpoint Denial of Service
blocks OS Exhaustion Flood
blocks Service Exhaustion Flood
blocks Application Exhaustion Flood
blocks Application or System Exploitation
blocks Data from Cloud Storage
blocks Transfer Data to Cloud Account
blocks Unsecured Credentials
blocks Cloud Instance Metadata API
blocks Adversary-in-the-Middle
blocks Name Resolution Poisoning and SMB Relay
blocks ARP Cache Poisoning
blocks DHCP Spoofing
blocks Resource Forking
blocks Lateral Tool Transfer
blocks Protocol Tunneling
blocks Network Boundary Bridging
blocks Network Address Translation Traversal
blocks Data from Configuration Repository
blocks SNMP (MIB Dump)
blocks Network Device Configuration Dump
blocks Debugger Evasion
blocks System / Data Compromise (Technical Vector)
blocks System / Service Compromise
blocks Unaddressed Security / Compliance Exposure
blocks AI Output / Decision Integrity Failure
blocks Unintended or Unsafe Technology Behavior
blocks Loss of Confidentiality
blocks Loss of Data Integrity
blocks Loss of Authenticity / Provenance
blocks Drought & Water Shortage
blocks Earthquakes
blocks Fire & Wildfires
blocks Floods
blocks Hurricanes & Tropical Storms
blocks Landslides & Debris Flow
blocks Pandemic (Disease) Outbreaks
blocks Severe Weather
blocks Space Weather
blocks Thunderstorms & Lightning
blocks Tornadoes
blocks Tsunamis
blocks Volcanoes
blocks Winter Storms & Extreme Cold
blocks Malicious Cyber Activity
blocks Dysfunctional Management Practices
blocks Human Error
blocks Technical / Mechanical Failure
blocks Data Quality Degradation / Data Poisoning
blocks Artificial Intelligence & Autonomous Technologies (AAT) System Failure or Unintended Behavior
blocks Product Defect / Design Failure
blocks Adversarial Artificial Intelligence (AI) Attack
blocks System / Data Compromise (Technical Vector)
blocks System / Service Compromise
blocks Unaddressed Security / Compliance Exposure
blocks AI Output / Decision Integrity Failure
blocks Unintended or Unsafe Technology Behavior
blocks Loss of Confidentiality
blocks Loss of Data Integrity
blocks Loss of Authenticity / Provenance
blocks Drought & Water Shortage
blocks Earthquakes
blocks Fire & Wildfires
blocks Floods
blocks Hurricanes & Tropical Storms
blocks Landslides & Debris Flow
blocks Pandemic (Disease) Outbreaks
blocks Severe Weather
blocks Space Weather
blocks Thunderstorms & Lightning
blocks Tornadoes
blocks Tsunamis
blocks Volcanoes
blocks Winter Storms & Extreme Cold
blocks Malicious Cyber Activity
blocks Dysfunctional Management Practices
blocks Human Error
blocks Technical / Mechanical Failure
blocks Data Quality Degradation / Data Poisoning
blocks Artificial Intelligence & Autonomous Technologies (AAT) System Failure or Unintended Behavior
blocks Product Defect / Design Failure
blocks Adversarial Artificial Intelligence (AI) Attack
is blocked by SEA-18 Information Output Filtering – Assessment Procedure
blocks SI-15 Information Output Filtering
  • Secure Controls Framework -

    The Secure Controls Framework® (SCF)

    "The SCF is the Common Controls Framework™ (CCF), the world's most comprehensive cybersecurity and data privacy metaframework - it is also free to use. The entire concept is building secure, compliant and resilient capabilities in the most efficient and cost-effective manner possible.

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    Like it or not, cybersecurity is a protracted war on an asymmetric battlefield, where the threats are everywhere and as defenders we have to make the effort to work together to help improve cybersecurity and data privacy practices, since we all suffer when massive data breaches occur or when cyber attacks have physical impacts. Hackers share information on attack methods with other hackers, so why shouldn’t the good guys share information on how to best protect an organization? We decided to take action and make a difference, since we feel it is too important to wait for someone else to fix the problems that exist.

    The SCF is made up of volunteers, mainly specialists within the cybersecurity profession, who focus on GRC and the cybersecurity side of data privacy. These are auditors, engineers, architects, incident responders, consultants and other specialists who live and breathe these topics on a daily basis. The end product is "expert-derived content" that makes up the SCF." https://securecontrolsframework.com/ 

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