Strong Towns
Company Details
Linkedin ID:
strong-towns
Employees number:
46
Number of followers:
49,244
NAICS:
921
Industry Type:
Homepage:
strongtowns.org
IP Addresses:
0
Company ID:
STR_8486677
Scan Status:
In-progress
Strong Towns Company CyberSecurity Posture
strongtowns.org
Strong Towns is a nationally-recognized non-profit shaping the conversation on growth, development and the future of cities. We support a model of development that allows America’s cities, towns and neighborhoods to grow financially strong and resilient. Our worldwide membership includes individuals and organizations in each U.S. state as well as in Canada, Europe and Australia.
Strong Towns A.I CyberSecurity Scoring
Strong Towns Risk Score (AI oriented)Between 700 and 749
Strong Towns
Updated:
- Powered by our proprietary A.I cyber incident model
- Insurance preferes TPRM score to calculate premium
Strong Towns Global Score (TPRM)XXXX
Strong Towns
- Instant access to detailed risk factors
- Benchmark vs. industry & size peers
- Vulnerabilities
- Findings
Strong Towns Company CyberSecurity News & History
Past Incidents
0
Attack Types
0
No data available
Strong Towns 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 Strong Towns
Incidents vs Public Policy Offices Industry Average (This Year)
No incidents recorded for Strong Towns in 2025.
Incidents vs All-Companies Average (This Year)
No incidents recorded for Strong Towns in 2025.
Incident Types Strong Towns vs Public Policy Offices Industry Avg (This Year)
No incidents recorded for Strong Towns in 2025.
Incident History — Strong Towns (X = Date, Y = Severity)
Strong Towns cyber incidents detection timeline including parent company and subsidiaries
Strong Towns Company Subsidiaries
Strong Towns is a nationally-recognized non-profit shaping the conversation on growth, development and the future of cities. We support a model of development that allows America’s cities, towns and neighborhoods to grow financially strong and resilient. Our worldwide membership includes individuals and organizations in each U.S. state as well as in Canada, Europe and Australia.
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Frequently Asked Questions
Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
Strong Towns CyberSecurity History Information
Official Website of Strong Towns
The official website of Strong Towns is http://www.strongtowns.org/membership.
Strong Towns’s AI-Generated Cybersecurity Score
According to Rankiteo, Strong Towns’s AI-generated cybersecurity score is 744, reflecting their Moderate security posture.
How many security badges does Strong Towns’ have ?
According to Rankiteo, Strong Towns currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
Does Strong Towns have SOC 2 Type 1 certification ?
According to Rankiteo, Strong Towns is not certified under SOC 2 Type 1.
Does Strong Towns have SOC 2 Type 2 certification ?
According to Rankiteo, Strong Towns does not hold a SOC 2 Type 2 certification.
Does Strong Towns comply with GDPR ?
According to Rankiteo, Strong Towns is not listed as GDPR compliant.
Does Strong Towns have PCI DSS certification ?
According to Rankiteo, Strong Towns does not currently maintain PCI DSS compliance.
Does Strong Towns comply with HIPAA ?
According to Rankiteo, Strong Towns is not compliant with HIPAA regulations.
Does Strong Towns have ISO 27001 certification ?
According to Rankiteo,Strong Towns is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Industry Classification of Strong Towns
Strong Towns operates primarily in the Public Policy Offices industry.
Number of Employees at Strong Towns
Strong Towns employs approximately 46 people worldwide.
Subsidiaries Owned by Strong Towns
Strong Towns presently has no subsidiaries across any sectors.
Strong Towns’s LinkedIn Followers
Strong Towns’s official LinkedIn profile has approximately 49,244 followers.
NAICS Classification of Strong Towns
Strong Towns is classified under the NAICS code 921, which corresponds to Executive, Legislative, and Other General Government Support.
Strong Towns’s Presence on Crunchbase
No, Strong Towns does not have a profile on Crunchbase.
Strong Towns’s Presence on LinkedIn
Yes, Strong Towns maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/strong-towns.
Cybersecurity Incidents Involving Strong Towns
As of November 28, 2025, Rankiteo reports that Strong Towns has not experienced any cybersecurity incidents.
Number of Peer and Competitor Companies
Strong Towns has an estimated 1,024 peer or competitor companies worldwide.
Strong Towns CyberSecurity History Information
How many cyber incidents has Strong Towns faced ?
Total Incidents: According to Rankiteo, Strong Towns has faced 0 incidents in the past.
What types of cybersecurity incidents have occurred at Strong Towns ?
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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RapidWhat Do We Measure ?
Incident
Finding
Grade
Digital Assets
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.
These are some of the factors we use to calculate the overall score:
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.
