What is the official website of Smart Apartment Data ?

The official website of Smart Apartment Data is https://smartapartmentdata.com/.

What is Smart Apartment Data's cybersecurity risk score?

Smart Apartment Data has an AI-generated cybersecurity risk score of 751 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Smart Apartment Data experienced?

According to Rankiteo, Smart Apartment Data currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has Smart Apartment Data been affected by any supply chain cyber incidents ?

According to Rankiteo, Smart Apartment Data has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does Smart Apartment Data have SOC 2 Type 1 certification ?

According to Rankiteo, Smart Apartment Data is not certified under SOC 2 Type 1.

Does Smart Apartment Data have SOC 2 Type 2 certification ?

According to Rankiteo, Smart Apartment Data does not hold a SOC 2 Type 2 certification.

Does Smart Apartment Data comply with GDPR ?

According to Rankiteo, Smart Apartment Data is not listed as GDPR compliant.

Does Smart Apartment Data have PCI DSS certification ?

According to Rankiteo, Smart Apartment Data does not currently maintain PCI DSS compliance.

Does Smart Apartment Data comply with HIPAA ?

According to Rankiteo, Smart Apartment Data is not compliant with HIPAA regulations.

Does Smart Apartment Data have ISO 27001 certification ?

According to Rankiteo,Smart Apartment Data is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does Smart Apartment Data operate in ?

Smart Apartment Data operates primarily in the Market Research industry.

How many employees does Smart Apartment Data have ?

Smart Apartment Data employs approximately 135 people worldwide.

Does Smart Apartment Data own any subsidiaries ?

Smart Apartment Data presently has no subsidiaries across any sectors.

How many LinkedIn followers does Smart Apartment Data have ?

Smart Apartment Data's official LinkedIn profile has approximately 22,193 followers.

What is the NAICS classification code for Smart Apartment Data ?

Smart Apartment Data is classified under the NAICS code 54191, which corresponds to Marketing Research and Public Opinion Polling.

Does Smart Apartment Data have a Crunchbase profile ?

No, Smart Apartment Data does not have a profile on Crunchbase.

Does Smart Apartment Data have a LinkedIn profile ?

Yes, Smart Apartment Data maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/smart-apartment-data.

How many cybersecurity incidents has Smart Apartment Data experienced ?

As of October 18, 2026, Rankiteo reports that Smart Apartment Data has not experienced any cybersecurity incidents.

How many peer or competitor companies does Smart Apartment Data have ?

Smart Apartment Data has an estimated 2,007 peer or competitor companies worldwide.

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SAD

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751

/1000

Fair

776

/1000

Fair

Smart Apartment Data Vendor Cyber Rating & Cyber Score

smartapartmentdata.com

Add Your Compliance Badge

Our mission is to revolutionize the multifamily industry serving as a reliable data source. Committed to excellence, we provide unparalleled accuracy and customizable reporting, empowering our clients with insights that help them make informed and strategic decisions. Leveraging advanced technology, an expert in-house research team, and third-party partnerships, we curate the most comprehensive datasets available in the market.

SAD

Smart Apartment Data CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

No data available

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A.I.

SAD Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

Actual

Prediction

Incident Predictions locked

Access Monitoring Plan

A.I Risk Score Likelihood 3 - 6 - 9 months

Actual

Prediction A

Prediction B

Prediction C

Prediction D

A.I. Risk Score Predictions locked

Access Monitoring Plan

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Underwriter Stats for SAD

Incidents vs Market Research Industry Avg (This Year)

No incidents recorded for Smart Apartment Data in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Smart Apartment Data in 2026.

Incident Types SAD vs Market Research Industry Avg (This Year)

No incidents recorded for Smart Apartment Data in 2026.

Incident History - SAD (X = Date, Y = Severity)

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SUBSIDIARY

Smart Apartment Data Subsidiaries

Parent Company

SAD

Market Research

Website: https://smartapartmentdata.com/

Company Size: 135

No subsidiary data available for this company.

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Smart Apartment Data Similar Companies

Kantar

cb kantar.com

Kantar is the world’s leading marketing data and analytics company. . We have a complete, unique and rounded understanding of how people think, feel and act; globally and locally in over 90 markets. By combining the deep expertise of our people, our data resources and benchmarks and our innovative analytics and technology, we help our clients understand people and inspire growth.

Ipsos

cb ipsos.com

In our world of rapid change, the need for reliable information to make confident decisions has never been greater. At Ipsos we believe our clients need more than a data supplier, they need a partner who can produce accurate and relevant information and turn it into actionable truth. This is why our passionately curious experts not only provide the most precise measurement, but shape it to provide True Understanding of Society, Markets and People. To do this we use the best of science, technology and know-how and apply the principles of security, simplicity, speed and substance to everything we do. So that our clients can act faster, smarter and bolder. Ultimately, success comes down to a simple truth: YOU ACT BETTER WHEN YOU ARE SURE First listed on the Paris Stock Exchange: July 1, 1999 Total revenues in 2024: 2,440.8 million euros Presence in 90 markets Full-time employees: ≃ 20,000 Clients around the world: + 5,000 50 million interviews conducted in 2024, of which 2/3 million online. Find out more about Ipsos at www.ipsos.com Follow us on X: @Ipsos Follow us on Bluesky: @IpsosGroup

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NEWS

Smart Apartment Data CyberSecurity News

Latest updates, reports, and threat intel affecting the global network.

May 13, 2024 07:00 AM

Overview of the Attack Surface of Smart Cities

The Top 8 cyberattacks on connected cities. Importance of Smart Cities' network protection: confronting cyber risk.

Read Article

April 15, 2024 07:00 AM

Crickets from Chirp Systems in Smart Lock Key Leak

The U.S. government is warning that “smart locks” securing entry to an estimated 50,000 dwellings nationwide contain hard-coded credentials...

Read Article

October 13, 2023 07:00 AM

How to be smart about building cybersecurity

With the increasing adoption of smart building technologies comes the associated risk of cyber-attack. What do building owners and service...

Read Article

August 21, 2021 07:00 AM

Cybersecurity Experts Worried by Chinese Firm’s Control of Smart Devices

Some cybersecurity experts worry about the lack of protection for the consumer data collected by Tuya tech in household items and in products used in health...

Read Article

February 11, 2020 08:00 AM

In smart apartments, is tenants’ privacy for rent?

Internet-connected thermostats, locks, and other devices are popular with apartment renters, but they also raise questions about data...

Read Article

March 18, 2019 07:00 AM

We don't want to be Latch key-less kids: NYC tenants sue landlords for bunging IoT 'smart' lock on their front door

A group of Manhattan residents are suing their landlord after a smart lock was installed on their apartment block front door.

Read Article

February 03, 2012 08:00 AM

Smart Meter Data: Privacy and Cybersecurity

Fueled by stimulus funding in the American Recovery and Reinvestment Act of 2009 (ARRA), electric utilities have accelerated their...

Read Article

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CVE

Latest

Global CVEs (Not Company-Specific)

CVE-2026-111865

SUMMARY

A security flaw has been discovered in THU-MIG yoloe up to 40cd606cabdbe2b566d6f14a6b162c89206e9a1b. This affects the function eval of the file ultralytics/nn/autobackend.py of the component AutoBackend Model Loading. The manipulation of the argument imgsz/names/kpt_shape results in improper neutralization of directives in dynamically evaluated code. The attack requires a local approach. The exploit has been released to the public and may be used for attacks. This product does not use versioning. This is why information about affected and unaffected releases are unavailable. The project was informed of the problem early through an issue report but has not responded yet.

Published

Date2026-10-17

Updated

Date2026-10-17

RISK INFORMATION (Score: 5.3)

cvss2

Base Score: 4.3

Complexity: LOW

AV:L/AC:L/Au:S/C:P/I:P/A:P

cvss3

Base Score: 5.3

Complexity: LOW

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L

cvss4

Base Score: 1.9

Complexity: LOW

CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/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

Impact Score

3.4

Exploitability

1.8

REFERENCES

CVE-2026-111934

SUMMARY

Coder before 2.34.7 contains an IP spoofing vulnerability in the ExtractRealIPAddress middleware that trusts the leftmost, client-supplied X-Forwarded-For value instead of the client IP appended by a reverse proxy. Attackers can send forged X-Forwarded-For values through appending proxies to bypass per-IP rate limits on login, one-time passcode, and password validation endpoints, enabling brute-force attacks, and to falsify IP addresses recorded in audit logs.

Published

Date2026-10-17

Updated

Date2026-10-17

RISK INFORMATION (Score: 3.7)

cvss3

Base Score: 3.7

Complexity: HIGH

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:N

cvss4

Base Score: 6.3

Complexity: 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

Impact Score

1.4

Exploitability

2.2

REFERENCES

CVE-2026-111933

SUMMARY

Coder before 2.29.17, 2.30.0 before 2.32.7, 2.33.0 before 2.33.8, and 2.34.0 before 2.34.2 contains a user enumeration vulnerability because userpassword.Compare() substitutes a placeholder hash derived from the string "hunter2" when a stored password hash is empty. Unauthenticated attackers can submit logins with the password "hunter2" and distinguish HTTP 403 from 401 responses to enumerate valid accounts and reveal the authentication provider of SSO-only users.

Published

Date2026-10-17

Updated

Date2026-10-17

RISK INFORMATION (Score: 3.7)

cvss3

Base Score: 3.7

Complexity: HIGH

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N

cvss4

Base Score: 6.3

Complexity: HIGH

CVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:N/VC:L/VI:N/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

Impact Score

1.4

Exploitability

2.2

REFERENCES

CVE-2026-111932

SUMMARY

Coder before 2.29.17, 2.30.0 before 2.32.7, 2.33.0 before 2.33.8, and 2.34.0 before 2.34.2 contains a stored HTML injection vulnerability because the ApplicationName and LogoURL appearance settings are rendered into HTML output without sufficient escaping. Attackers with the Owner role can store HTML markup in these settings that renders in the Coder dashboard and in SMTP notification emails sent to other deployment users.

Published

Date2026-10-17

Updated

Date2026-10-17

RISK INFORMATION (Score: 3.4)

cvss3

Base Score: 3.4

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:N/I:L/A:N

cvss4

Base Score: 4.8

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:P/VC:N/VI:L/VA:N/SC:N/SI:L/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

Impact Score

1.4

Exploitability

1.7

REFERENCES

CVE-2026-111931

SUMMARY

Coder from 2.0.0 before 2.34.8 contains an open redirect vulnerability in handleAPIKeySmuggling that allows attackers to redirect users externally via unsanitized r.URL.Path values. Attackers can craft links on trusted workspace app subdomains with paths beginning with double slashes, which become scheme-relative redirects to attacker sites for phishing.

Published

Date2026-10-17

Updated

Date2026-10-17

RISK INFORMATION (Score: 4.3)

cvss3

Base Score: 4.3

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N

cvss4

Base Score: 5.3

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/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

Impact Score

1.4

Exploitability

2.8

REFERENCES

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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.

These are some of the factors we use to calculate the overall score:

Network SecurityIdentify 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.

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Trusted by insurers. Chosen by leaders.

Smart Apartment Data Vendor Cyber Rating & Cyber Score

SAD A.I CyberSecurity Scoring

Smart Apartment Data CyberSecurity News & History

SAD Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

Incident Predictions locked

A.I Risk Score Likelihood 3 - 6 - 9 months

A.I. Risk Score Predictions locked

Underwriter Stats for SAD

Incidents vs Market Research Industry Avg (This Year)

Incidents vs All-Companies Average (This Year)

Incident Types SAD vs Market Research Industry Avg (This Year)

Incident History - SAD (X = Date, Y = Severity)

Smart Apartment Data Subsidiaries

Parent Company

SAD

Smart Apartment Data Similar Companies

Kantar

Ipsos

Smart Apartment Data CyberSecurity News

Overview of the Attack Surface of Smart Cities

Crickets from Chirp Systems in Smart Lock Key Leak

How to be smart about building cybersecurity

Cybersecurity Experts Worried by Chinese Firm’s Control of Smart Devices

In smart apartments, is tenants’ privacy for rent?

We don't want to be Latch key-less kids: NYC tenants sue landlords for bunging IoT 'smart' lock on their front door

Smart Meter Data: Privacy and Cybersecurity

Global CVEs (Not Company-Specific)

Access Data Using Our API

What Do We Measure ?

These are some of the factors we use to calculate the overall score:

Rankiteo

Smart Apartment Data CyberSecurity News & History

SAD Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

Incident Predictions locked

A.I Risk Score Likelihood 3 - 6 - 9 months

A.I. Risk Score Predictions locked

Underwriter Stats for SAD

Incidents vs Market Research Industry Avg (This Year)

Incidents vs All-Companies Average (This Year)

Incident Types SAD vs Market Research Industry Avg (This Year)

Incident History - SAD (X = Date, Y = Severity)

Smart Apartment Data Subsidiaries

Parent Company

SAD

Smart Apartment Data Similar Companies

Kantar

Ipsos

Smart Apartment Data CyberSecurity News

Overview of the Attack Surface of Smart Cities

Crickets from Chirp Systems in Smart Lock Key Leak

How to be smart about building cybersecurity

Cybersecurity Experts Worried by Chinese Firm’s Control of Smart Devices

In smart apartments, is tenants’ privacy for rent?

We don't want to be Latch key-less kids: NYC tenants sue landlords for bunging IoT 'smart' lock on their front door

Smart Meter Data: Privacy and Cybersecurity

Global CVEs (Not Company-Specific)

Access Data Using Our API

What Do We Measure ?

These are some of the factors we use to calculate the overall score:

Rankiteo