DCS
Company Details
Linkedin ID:
data-smart-city-solutions
Website:
Employees number:
2
Number of followers:
2,068
NAICS:
921
Industry Type:
Homepage:
harvard.edu
IP Addresses:
0
Company ID:
DAT_9390111
Scan Status:
In-progress
Data-Smart City Solutions Company CyberSecurity Posture
harvard.edu
Data-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is a project working to catalyze the use of civic data to solve problems & engage communities. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials on our site and on our podcast the Data-Smart City Pod. The project is directed by Professor Stephen Goldsmith.
Data-Smart City Solutions A.I CyberSecurity Scoring
DCS Risk Score (AI oriented)Between 700 and 749
DCS
Updated:
- Powered by our proprietary A.I cyber incident model
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DCS Global Score (TPRM)XXXX
DCS
- Instant access to detailed risk factors
- Benchmark vs. industry & size peers
- Vulnerabilities
- Findings
DCS Company CyberSecurity News & History
Past Incidents
0
Attack Types
0
No data available
DCS Company Scoring based on AI Models
Cyber Incidents Likelihood 3 - 6 - 9 months
A.I Risk Score Likelihood 3 - 6 - 9 months
Underwriter Stats for DCS
Incidents vs Public Policy Offices Industry Average (This Year)
No incidents recorded for Data-Smart City Solutions in 2025.
Incidents vs All-Companies Average (This Year)
No incidents recorded for Data-Smart City Solutions in 2025.
Incident Types DCS vs Public Policy Offices Industry Avg (This Year)
No incidents recorded for Data-Smart City Solutions in 2025.
Incident History — DCS (X = Date, Y = Severity)
DCS cyber incidents detection timeline including parent company and subsidiaries
DCS Company Subsidiaries
Data-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is a project working to catalyze the use of civic data to solve problems & engage communities. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials on our site and on our podcast the Data-Smart City Pod. The project is directed by Professor Stephen Goldsmith.
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Frequently Asked Questions
Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
DCS CyberSecurity History Information
Official Website of Data-Smart City Solutions
The official website of Data-Smart City Solutions is http://datasmart.hks.harvard.edu.
Data-Smart City Solutions’s AI-Generated Cybersecurity Score
According to Rankiteo, Data-Smart City Solutions’s AI-generated cybersecurity score is 741, reflecting their Moderate security posture.
How many security badges does Data-Smart City Solutions’ have ?
According to Rankiteo, Data-Smart City Solutions currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
Does Data-Smart City Solutions have SOC 2 Type 1 certification ?
According to Rankiteo, Data-Smart City Solutions is not certified under SOC 2 Type 1.
Does Data-Smart City Solutions have SOC 2 Type 2 certification ?
According to Rankiteo, Data-Smart City Solutions does not hold a SOC 2 Type 2 certification.
Does Data-Smart City Solutions comply with GDPR ?
According to Rankiteo, Data-Smart City Solutions is not listed as GDPR compliant.
Does Data-Smart City Solutions have PCI DSS certification ?
According to Rankiteo, Data-Smart City Solutions does not currently maintain PCI DSS compliance.
Does Data-Smart City Solutions comply with HIPAA ?
According to Rankiteo, Data-Smart City Solutions is not compliant with HIPAA regulations.
Does Data-Smart City Solutions have ISO 27001 certification ?
According to Rankiteo,Data-Smart City Solutions is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Industry Classification of Data-Smart City Solutions
Data-Smart City Solutions operates primarily in the Public Policy Offices industry.
Number of Employees at Data-Smart City Solutions
Data-Smart City Solutions employs approximately 2 people worldwide.
Subsidiaries Owned by Data-Smart City Solutions
Data-Smart City Solutions presently has no subsidiaries across any sectors.
Data-Smart City Solutions’s LinkedIn Followers
Data-Smart City Solutions’s official LinkedIn profile has approximately 2,068 followers.
NAICS Classification of Data-Smart City Solutions
Data-Smart City Solutions is classified under the NAICS code 921, which corresponds to Executive, Legislative, and Other General Government Support.
Data-Smart City Solutions’s Presence on Crunchbase
No, Data-Smart City Solutions does not have a profile on Crunchbase.
Data-Smart City Solutions’s Presence on LinkedIn
Yes, Data-Smart City Solutions maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/data-smart-city-solutions.
Cybersecurity Incidents Involving Data-Smart City Solutions
As of November 28, 2025, Rankiteo reports that Data-Smart City Solutions has not experienced any cybersecurity incidents.
Number of Peer and Competitor Companies
Data-Smart City Solutions has an estimated 1,023 peer or competitor companies worldwide.
Data-Smart City Solutions CyberSecurity History Information
How many cyber incidents has Data-Smart City Solutions faced ?
Total Incidents: According to Rankiteo, Data-Smart City Solutions has faced 0 incidents in the past.
What types of cybersecurity incidents have occurred at Data-Smart City Solutions ?
Incident Types: The types of cybersecurity incidents that have occurred include .
Incident Details
What are the most common types of attacks the company has faced ?
Additional Questions
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Latest Global CVEs (Not Company-Specific)
Description
Angular is a development platform for building mobile and desktop web applications using TypeScript/JavaScript and other languages. Prior to versions 19.2.16, 20.3.14, and 21.0.1, there is a XSRF token leakage via protocol-relative URLs in angular HTTP clients. The vulnerability is a Credential Leak by App Logic that leads to the unauthorized disclosure of the Cross-Site Request Forgery (XSRF) token to an attacker-controlled domain. Angular's HttpClient has a built-in XSRF protection mechanism that works by checking if a request URL starts with a protocol (http:// or https://) to determine if it is cross-origin. If the URL starts with protocol-relative URL (//), it is incorrectly treated as a same-origin request, and the XSRF token is automatically added to the X-XSRF-TOKEN header. This issue has been patched in versions 19.2.16, 20.3.14, and 21.0.1. A workaround for this issue involves avoiding using protocol-relative URLs (URLs starting with //) in HttpClient requests. All backend communication URLs should be hardcoded as relative paths (starting with a single /) or fully qualified, trusted absolute URLs.
Risk Information
cvss4
Base: 7.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:N/SC:H/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
References
- https://github.com/angular/angular/commit/0276479e7d0e280e0f8d26fa567d3b7aa97a516f
- https://github.com/angular/angular/commit/05fe6686a97fa0bcd3cf157805b3612033f975bc
- https://github.com/angular/angular/commit/3240d856d942727372a705252f7c8c115394a41e
- https://github.com/angular/angular/releases/tag/19.2.16
- https://github.com/angular/angular/releases/tag/20.3.14
- https://github.com/angular/angular/releases/tag/21.0.1
- https://github.com/angular/angular/security/advisories/GHSA-58c5-g7wp-6w37
Description
Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Uncontrolled Recursion vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft deep ASN.1 structures that trigger unbounded recursive parsing. This leads to a Denial-of-Service (DoS) via stack exhaustion when parsing untrusted DER inputs. This issue has been patched in version 1.3.2.
Risk Information
cvss4
Base: 8.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description
Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Integer Overflow vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft ASN.1 structures containing OIDs with oversized arcs. These arcs may be decoded as smaller, trusted OIDs due to 32-bit bitwise truncation, enabling the bypass of downstream OID-based security decisions. This issue has been patched in version 1.3.2.
Risk Information
cvss4
Base: 6.3
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description
Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. Prior to versions 7.0.13 and 8.0.2, working with large buffers in Lua scripts can lead to a stack overflow. Users of Lua rules and output scripts may be affected when working with large buffers. This includes a rule passing a large buffer to a Lua script. This issue has been patched in versions 7.0.13 and 8.0.2. A workaround for this issue involves disabling Lua rules and output scripts, or making sure limits, such as stream.depth.reassembly and HTTP response body limits (response-body-limit), are set to less than half the stack size.
Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Description
Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. In versions from 8.0.0 to before 8.0.2, a NULL dereference can occur when the entropy keyword is used in conjunction with base64_data. This issue has been patched in version 8.0.2. A workaround involves disabling rules that use entropy in conjunction with base64_data.
Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
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Every week, Rankiteo analyzes billions of signals to give organizations a sharper, faster view of emerging risks. With deeper, more actionable intelligence at their fingertips, security teams can outpace threat actors, respond instantly to Zero-Day attacks, and dramatically shrink their risk exposure window.
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Network Security
Identify exposed access points, detect misconfigured SSL certificates, and uncover vulnerabilities across the network infrastructure.
SBOM (Software Bill of Materials)
Gain visibility into the software components used within an organization to detect vulnerabilities, manage risk, and ensure supply chain security.
CMDB (Configuration Management Database)
Monitor and manage all IT assets and their configurations to ensure accurate, real-time visibility across the company's technology environment.
Threat Intelligence
Leverage real-time insights on active threats, malware campaigns, and emerging vulnerabilities to proactively defend against evolving cyberattacks.
Rankiteo is a unified scoring and risk platform that analyzes billions of signals weekly to help organizations gain faster, more actionable insights into emerging threats. Empowering teams to outpace adversaries and reduce exposure.
