HBN
Company Details
Linkedin ID:
hotel-beacon-nyc
Website:
Employees number:
21
Number of followers:
152
NAICS:
7211
Industry Type:
Homepage:
beaconhotel.com
IP Addresses:
0
Company ID:
HOT_1891630
Scan Status:
In-progress
Hotel Beacon NYC Company CyberSecurity Posture
beaconhotel.com
Welcome to the Hotel Beacon on linkedIn! A place for current and past employees to connect and remain current on what is happening at the hotel.
Hotel Beacon NYC A.I CyberSecurity Scoring
HBN Risk Score (AI oriented)Between 750 and 799
HBN
Updated:
- Powered by our proprietary A.I cyber incident model
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HBN Global Score (TPRM)XXXX
HBN
- Instant access to detailed risk factors
- Benchmark vs. industry & size peers
- Vulnerabilities
- Findings
HBN Company CyberSecurity News & History
Past Incidents
1
Attack Types
1
Hotel Beacon NYC
Cyber Attack
Rankiteo Explanation
Attack with significant impact with customers data leaks
Description: The payment card processing systems of Hotel Beacon in New York City were compromised by a third-party intruder back in 2015. The incident affected a lot of people and leaked personal information including names, card numbers, expiration dates, and CVV numbers. The hotel took the help of external forensics experts to investigate the incident and replaced the affected hardware. The hotel offered a free year of credit monitoring and identity restoration services.
HBN 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 HBN
Incidents vs Hospitality Industry Average (This Year)
No incidents recorded for Hotel Beacon NYC in 2025.
Incidents vs All-Companies Average (This Year)
No incidents recorded for Hotel Beacon NYC in 2025.
Incident Types HBN vs Hospitality Industry Avg (This Year)
No incidents recorded for Hotel Beacon NYC in 2025.
Incident History — HBN (X = Date, Y = Severity)
HBN cyber incidents detection timeline including parent company and subsidiaries
HBN Company Subsidiaries
Welcome to the Hotel Beacon on linkedIn! A place for current and past employees to connect and remain current on what is happening at the hotel.
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Frequently Asked Questions
Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
HBN CyberSecurity History Information
Official Website of Hotel Beacon NYC
The official website of Hotel Beacon NYC is http://www.beaconhotel.com.
Hotel Beacon NYC’s AI-Generated Cybersecurity Score
According to Rankiteo, Hotel Beacon NYC’s AI-generated cybersecurity score is 773, reflecting their Fair security posture.
How many security badges does Hotel Beacon NYC’ have ?
According to Rankiteo, Hotel Beacon NYC currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
Does Hotel Beacon NYC have SOC 2 Type 1 certification ?
According to Rankiteo, Hotel Beacon NYC is not certified under SOC 2 Type 1.
Does Hotel Beacon NYC have SOC 2 Type 2 certification ?
According to Rankiteo, Hotel Beacon NYC does not hold a SOC 2 Type 2 certification.
Does Hotel Beacon NYC comply with GDPR ?
According to Rankiteo, Hotel Beacon NYC is not listed as GDPR compliant.
Does Hotel Beacon NYC have PCI DSS certification ?
According to Rankiteo, Hotel Beacon NYC does not currently maintain PCI DSS compliance.
Does Hotel Beacon NYC comply with HIPAA ?
According to Rankiteo, Hotel Beacon NYC is not compliant with HIPAA regulations.
Does Hotel Beacon NYC have ISO 27001 certification ?
According to Rankiteo,Hotel Beacon NYC is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Industry Classification of Hotel Beacon NYC
Hotel Beacon NYC operates primarily in the Hospitality industry.
Number of Employees at Hotel Beacon NYC
Hotel Beacon NYC employs approximately 21 people worldwide.
Subsidiaries Owned by Hotel Beacon NYC
Hotel Beacon NYC presently has no subsidiaries across any sectors.
Hotel Beacon NYC’s LinkedIn Followers
Hotel Beacon NYC’s official LinkedIn profile has approximately 152 followers.
NAICS Classification of Hotel Beacon NYC
Hotel Beacon NYC is classified under the NAICS code 7211, which corresponds to Traveler Accommodation.
Hotel Beacon NYC’s Presence on Crunchbase
No, Hotel Beacon NYC does not have a profile on Crunchbase.
Hotel Beacon NYC’s Presence on LinkedIn
Yes, Hotel Beacon NYC maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/hotel-beacon-nyc.
Cybersecurity Incidents Involving Hotel Beacon NYC
As of November 27, 2025, Rankiteo reports that Hotel Beacon NYC has experienced 1 cybersecurity incidents.
Number of Peer and Competitor Companies
Hotel Beacon NYC has an estimated 13,638 peer or competitor companies worldwide.
What types of cybersecurity incidents have occurred at Hotel Beacon NYC ?
Incident Types: The types of cybersecurity incidents that have occurred include Cyber Attack.
How does Hotel Beacon NYC detect and respond to cybersecurity incidents ?
Detection and Response: The company detects and responds to cybersecurity incidents through an third party assistance with external forensics experts, and remediation measures with replaced affected hardware, and communication strategy with offered a free year of credit monitoring and identity restoration services..
Incident Details
Can you provide details on each incident ?
Title: Payment Card Processing Systems Breach at Hotel Beacon
Description: The payment card processing systems of Hotel Beacon in New York City were compromised by a third-party intruder in 2015. The incident affected a lot of people and leaked personal information including names, card numbers, expiration dates, and CVV numbers. The hotel took the help of external forensics experts to investigate the incident and replaced the affected hardware. The hotel offered a free year of credit monitoring and identity restoration services.
Date Detected: 2015
Type: Data Breach
Attack Vector: Third-party Intrusion
What are the most common types of attacks the company has faced ?
Common Attack Types: The most common types of attacks the company has faced is Cyber Attack.
Impact of the Incidents
What was the impact of each incident ?
Incident : Data Breach HOT20411522
Data Compromised: Names, Card numbers, Expiration dates, Cvv numbers
Systems Affected: Payment Card Processing Systems
Identity Theft Risk: High
Payment Information Risk: High
What types of data are most commonly compromised in incidents ?
Commonly Compromised Data Types: The types of data most commonly compromised in incidents are Personal Information, Payment Card Information and .
Which entities were affected by each incident ?
Incident : Data Breach HOT20411522
Entity Name: Hotel Beacon
Entity Type: Hospitality
Industry: Hotel
Location: New York City
Response to the Incidents
What measures were taken in response to each incident ?
Incident : Data Breach HOT20411522
Third Party Assistance: External Forensics Experts.
Remediation Measures: Replaced Affected Hardware
Communication Strategy: Offered a free year of credit monitoring and identity restoration services
How does the company involve third-party assistance in incident response ?
Third-Party Assistance: The company involves third-party assistance in incident response through External Forensics Experts, .
Data Breach Information
What type of data was compromised in each breach ?
Incident : Data Breach HOT20411522
Type of Data Compromised: Personal information, Payment card information
Sensitivity of Data: High
What measures does the company take to prevent data exfiltration ?
Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: Replaced Affected Hardware, .
Investigation Status
How does the company communicate the status of incident investigations to stakeholders ?
Communication of Investigation Status: The company communicates the status of incident investigations to stakeholders through Offered A Free Year Of Credit Monitoring And Identity Restoration Services.
Post-Incident Analysis
What is the company's process for conducting post-incident analysis ?
Post-Incident Analysis Process: The company's process for conducting post-incident analysis is described as External Forensics Experts, .
Additional Questions
Incident Details
What was the most recent incident detected ?
Most Recent Incident Detected: The most recent incident detected was on 2015.
Impact of the Incidents
What was the most significant data compromised in an incident ?
Most Significant Data Compromised: The most significant data compromised in an incident were Names, Card Numbers, Expiration Dates, CVV Numbers and .
What was the most significant system affected in an incident ?
Most Significant System Affected: The most significant system affected in an incident was Payment Card Processing Systems.
Response to the Incidents
What third-party assistance was involved in the most recent incident ?
Third-Party Assistance in Most Recent Incident: The third-party assistance involved in the most recent incident was external forensics experts, .
Data Breach Information
What was the most sensitive data compromised in a breach ?
Most Sensitive Data Compromised: The most sensitive data compromised in a breach were Expiration Dates, Names, CVV Numbers and Card Numbers.
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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.
