Online Stores, Inc. Company Cyber Security Posture

onlinestores.com

Online Stores, Inc. was founded in 2002 with a single online store, and has since grown to be the parent company to 8 distinct e-commerce niche retail websites, which include: United-States-Flag.com, NorthlineExpress.com, EnglishTeaStore.com, DiscountSafetyGear.com, ConstructionGear.com, SafetyGirl.com, Lightup.com, and OnlineStores.com Our broad categories of products and diverse assortments separate us from the competition. We know you have a lot of options these days when it comes to online shopping. That's why we've invested heavily in our award winning websites to make sure that the buying experience you have on any of our stores is absolutely perfect. We have been consistently ranked by Newsweek as a Newsweek Best Online Shops, and we will continue to make improvements to our website technology, as well as continue to source new, trendy, and popular items to enrich our product assortment. To assist you with your online shopping experience, all of our stores have a dedicated and knowledgeable Customer Service team that you can reach by phone or email at any time, unlike many of our online shopping competitors. Not only are we extremely proud to distribute some of the most well known national brands across a broad array of industries, but we also manufacture our own proprietary brands for each of our stores, including: Super Tough Flags & Flagpoles, Lumegen LED Lighting, English Tea Store (ETS) Tea, Rugged Blue Men's Workwear & Boots, and Safety Girl Work Apparel & Boots. Online Stores, Inc. currently employs over 130 people across all of our locations. Our headquarters and largest warehouse is in New Stanton, PA and we also have warehouses in Youngwood, PA and a west coast location in Sparks, NV to better serve customers all over the country. Orders typically ship within 24 to 48 hours, and with multiple warehouse locations, we are able to reach most areas of the country within 2 to 3 days.

OSI Company Details

Linkedin ID:

online-stores-inc

Employees number:

213 employees

Number of followers:

2320.0

NAICS:

452

Industry Type:

Retail

Homepage:

onlinestores.com

IP Addresses:

Scan still pending

Company ID:

ONL_9325846

Scan Status:

In-progress

AI scoreOSI Risk Score (AI oriented)

Between 800 and 900

This score is AI-generated and less favored by cyber insurers, who prefer the TPRM score.

Ailogo

Online Stores, Inc. Company Scoring based on AI Models

Model NameDateDescriptionCurrent Score DifferenceScore
AVERAGE-Industry03-12-2025

This score represents the average cybersecurity rating of companies already scanned within the same industry. It provides a benchmark to compare an individual company's security posture against its industry peers.

N/A

Between 800 and 900

Online Stores, Inc. Company Cyber Security News & History

Past Incidents
1
Attack Types
1
EntityTypeSeverityImpactSeenUrl IDDetailsView
Online StoreCyber Attack1006/2025ONL737060625Link
Rankiteo Explanation :
Attack threatening the organizationโ€™s existence

Description: The online store experienced a DDoS attack which overwhelmed their server with excessive fake traffic, leading to a complete unavailability of their services. This attack halted their operations, causing significant financial losses and a drop in customer trust. The downtime resulted in customers being unable to place orders or receive support, severely impacting the business's reputation and bottom line.

Online Stores, Inc. Company Subsidiaries

SubsidiaryImage

Online Stores, Inc. was founded in 2002 with a single online store, and has since grown to be the parent company to 8 distinct e-commerce niche retail websites, which include: United-States-Flag.com, NorthlineExpress.com, EnglishTeaStore.com, DiscountSafetyGear.com, ConstructionGear.com, SafetyGirl.com, Lightup.com, and OnlineStores.com Our broad categories of products and diverse assortments separate us from the competition. We know you have a lot of options these days when it comes to online shopping. That's why we've invested heavily in our award winning websites to make sure that the buying experience you have on any of our stores is absolutely perfect. We have been consistently ranked by Newsweek as a Newsweek Best Online Shops, and we will continue to make improvements to our website technology, as well as continue to source new, trendy, and popular items to enrich our product assortment. To assist you with your online shopping experience, all of our stores have a dedicated and knowledgeable Customer Service team that you can reach by phone or email at any time, unlike many of our online shopping competitors. Not only are we extremely proud to distribute some of the most well known national brands across a broad array of industries, but we also manufacture our own proprietary brands for each of our stores, including: Super Tough Flags & Flagpoles, Lumegen LED Lighting, English Tea Store (ETS) Tea, Rugged Blue Men's Workwear & Boots, and Safety Girl Work Apparel & Boots. Online Stores, Inc. currently employs over 130 people across all of our locations. Our headquarters and largest warehouse is in New Stanton, PA and we also have warehouses in Youngwood, PA and a west coast location in Sparks, NV to better serve customers all over the country. Orders typically ship within 24 to 48 hours, and with multiple warehouse locations, we are able to reach most areas of the country within 2 to 3 days.

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newsone

OSI Cyber Security News

2025-05-30T17:37:00.000Z
Victoriaโ€™s Secret site back online after days-long cyber incident

The website for Victoria's Secret was back online Friday after a prolonged โ€œsecurity incidentโ€ caused the lingerie company to take down theย ...

2025-05-29T17:05:00.000Z
Victoria's Secret takes down U.S. website after "security incident"

Victoria's Secret did not provide many details about the security incident, or directly confirm whether it was a cyber or ransomware attack.

2025-05-21T07:00:00.000Z
M&S cyber attack: What we know about it and its impact

Marks & Spencer stopped taking online orders in late April, as it reeled from a major cyber attack that began over Easter.

2025-05-30T22:07:30.000Z
Top 10 Dark Web Markets

Dark Web markets are online marketplaces hidden within anonymized networks like Tor, where users trade illegal goods and services inย ...

2025-04-25T07:00:00.000Z
Britain's M&S stops taking online orders after cyber attack

Marks & Spencer stopped taking online orders in the UK and Ireland on Friday following a cyber attack which it reported earlier in the week,ย ...

2024-11-12T08:00:00.000Z
Dutch company behind Hannaford, Stop & Shop says cyber issue affecting US network

A cyberattack on the parent company of several prominent U.S. supermarkets is causing issues at stores across the country.

2025-01-24T08:00:00.000Z
How cyberattacks on grocery stores could threaten food security

A cyberattack could interfere with technology that monitors food temperature during production, which can lead to contamination.

2025-05-03T07:00:00.000Z
Clothing shortages, food waste and millions lost each day: inside the M&S cyber-attack chaos | Marks & Spencer

Unusual activity on tech systems over the Easter weekend was the first sign of a sustained cyber-attack on Marks & Spencer, which is costing theย ...

2025-04-23T07:00:00.000Z
11 Red Flags That a Shopping Site Is Fakeโ€”and About to Steal Your Money

Online shopping fraud and fake sites are on the rise. Stay safe by learning how to recognize these online store scams.

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faq

Frequently Asked Questions (FAQ) on Cybersecurity Incidents

OSI CyberSecurity History Information

Total Incidents: According to Rankiteo, OSI has faced 1 incidents in the past.

Incident Types: The types of cybersecurity incidents that have occurred include ['Cyber Attack'].

Total Financial Loss: The total financial loss from these incidents is estimated to be {total_financial_loss}.

Cybersecurity Posture: The company's overall cybersecurity posture is described as Online Stores, Inc. was founded in 2002 with a single online store, and has since grown to be the parent company to 8 distinct e-commerce niche retail websites, which include: United-States-Flag.com, NorthlineExpress.com, EnglishTeaStore.com, DiscountSafetyGear.com, ConstructionGear.com, SafetyGirl.com, Lightup.com, and OnlineStores.com Our broad categories of products and diverse assortments separate us from the competition. We know you have a lot of options these days when it comes to online shopping. That's why we've invested heavily in our award winning websites to make sure that the buying experience you have on any of our stores is absolutely perfect. We have been consistently ranked by Newsweek as a Newsweek Best Online Shops, and we will continue to make improvements to our website technology, as well as continue to source new, trendy, and popular items to enrich our product assortment. To assist you with your online shopping experience, all of our stores have a dedicated and knowledgeable Customer Service team that you can reach by phone or email at any time, unlike many of our online shopping competitors. Not only are we extremely proud to distribute some of the most well known national brands across a broad array of industries, but we also manufacture our own proprietary brands for each of our stores, including: Super Tough Flags & Flagpoles, Lumegen LED Lighting, English Tea Store (ETS) Tea, Rugged Blue Men's Workwear & Boots, and Safety Girl Work Apparel & Boots. Online Stores, Inc. currently employs over 130 people across all of our locations. Our headquarters and largest warehouse is in New Stanton, PA and we also have warehouses in Youngwood, PA and a west coast location in Sparks, NV to better serve customers all over the country. Orders typically ship within 24 to 48 hours, and with multiple warehouse locations, we are able to reach most areas of the country within 2 to 3 days. .

Detection and Response: The company detects and responds to cybersecurity incidents through {description_of_detection_and_response_process}.

Incident Details

Incident 1: Ransomware Attack

Title: {Incident_Title}

Description: {Brief_description_of_the_incident}

Date Detected: {Detection_Date}

Date Publicly Disclosed: {Disclosure_Date}

Date Resolved: {Resolution_Date}

Type: {Type_of_Attack}

Attack Vector: {Attack_Vector}

Vulnerability Exploited: {Vulnerability}

Threat Actor: {Threat_Actor}

Motivation: {Motivation}

Incident 2: Data Breach

Title: {Incident_Title}

Description: {Brief_description_of_the_incident}

Date Detected: {Detection_Date}

Date Publicly Disclosed: {Disclosure_Date}

Date Resolved: {Resolution_Date}

Type: {Type_of_Attack}

Attack Vector: {Attack_Vector}

Vulnerability Exploited: {Vulnerability}

Threat Actor: {Threat_Actor}

Motivation: {Motivation}

Common Attack Types: As of now, the company has not encountered any reported incidents involving common cyberattacks.

Identification of Attack Vectors: The company identifies the attack vectors used in incidents through {description_of_identification_process}.

Impact of the Incidents

Incident 1: Ransomware Attack

Financial Loss: {Financial_Loss}

Data Compromised: {Data_Compromised}

Systems Affected: {Systems_Affected}

Downtime: {Downtime}

Operational Impact: {Operational_Impact}

Conversion Rate Impact: {Conversion_Rate_Impact}

Revenue Loss: {Revenue_Loss}

Customer Complaints: {Customer_Complaints}

Brand Reputation Impact: {Brand_Reputation_Impact}

Legal Liabilities: {Legal_Liabilities}

Identity Theft Risk: {Identity_Theft_Risk}

Payment Information Risk: {Payment_Information_Risk}

Incident 2: Data Breach

Financial Loss: {Financial_Loss}

Data Compromised: {Data_Compromised}

Systems Affected: {Systems_Affected}

Downtime: {Downtime}

Operational Impact: {Operational_Impact}

Conversion Rate Impact: {Conversion_Rate_Impact}

Revenue Loss: {Revenue_Loss}

Customer Complaints: {Customer_Complaints}

Brand Reputation Impact: {Brand_Reputation_Impact}

Legal Liabilities: {Legal_Liabilities}

Identity Theft Risk: {Identity_Theft_Risk}

Payment Information Risk: {Payment_Information_Risk}

Average Financial Loss: The average financial loss per incident is {average_financial_loss}.

Commonly Compromised Data Types: The types of data most commonly compromised in incidents are {list_of_commonly_compromised_data_types}.

Incident 1: Ransomware Attack

Entity Name: {Entity_Name}

Entity Type: {Entity_Type}

Industry: {Industry}

Location: {Location}

Size: {Size}

Customers Affected: {Customers_Affected}

Incident 2: Data Breach

Entity Name: {Entity_Name}

Entity Type: {Entity_Type}

Industry: {Industry}

Location: {Location}

Size: {Size}

Customers Affected: {Customers_Affected}

Response to the Incidents

Incident 1: Ransomware Attack

Incident Response Plan Activated: {Yes/No}

Third Party Assistance: {Yes/No}

Law Enforcement Notified: {Yes/No}

Containment Measures: {Containment_Measures}

Remediation Measures: {Remediation_Measures}

Recovery Measures: {Recovery_Measures}

Communication Strategy: {Communication_Strategy}

Adaptive Behavioral WAF: {Adaptive_Behavioral_WAF}

On-Demand Scrubbing Services: {On_Demand_Scrubbing_Services}

Network Segmentation: {Network_Segmentation}

Enhanced Monitoring: {Enhanced_Monitoring}

Incident 2: Data Breach

Incident Response Plan Activated: {Yes/No}

Third Party Assistance: {Yes/No}

Law Enforcement Notified: {Yes/No}

Containment Measures: {Containment_Measures}

Remediation Measures: {Remediation_Measures}

Recovery Measures: {Recovery_Measures}

Communication Strategy: {Communication_Strategy}

Adaptive Behavioral WAF: {Adaptive_Behavioral_WAF}

On-Demand Scrubbing Services: {On_Demand_Scrubbing_Services}

Network Segmentation: {Network_Segmentation}

Enhanced Monitoring: {Enhanced_Monitoring}

Incident Response Plan: The company's incident response plan is described as {description_of_incident_response_plan}.

Third-Party Assistance: The company involves third-party assistance in incident response through {description_of_third_party_involvement}.

Data Breach Information

Incident 2: Data Breach

Type of Data Compromised: {Type_of_Data}

Number of Records Exposed: {Number_of_Records}

Sensitivity of Data: {Sensitivity_of_Data}

Data Exfiltration: {Yes/No}

Data Encryption: {Yes/No}

File Types Exposed: {File_Types}

Personally Identifiable Information: {Yes/No}

Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: {description_of_prevention_measures}.

Handling of PII Incidents: The company handles incidents involving personally identifiable information (PII) through {description_of_handling_process}.

Ransomware Information

Incident 1: Ransomware Attack

Ransom Demanded: {Ransom_Amount}

Ransom Paid: {Ransom_Paid}

Ransomware Strain: {Ransomware_Strain}

Data Encryption: {Yes/No}

Data Exfiltration: {Yes/No}

Ransom Payment Policy: The company's policy on paying ransoms in ransomware incidents is described as {description_of_ransom_payment_policy}.

Data Recovery from Ransomware: The company recovers data encrypted by ransomware through {description_of_data_recovery_process}.

Regulatory Compliance

Ransomware Logo

Incident 1: Ransomware Attack

Regulations Violated: {Regulations_Violated}

Fines Imposed: {Fines_Imposed}

Legal Actions: {Legal_Actions}

Regulatory Notifications: {Regulatory_Notifications}

Data Breach Logo

Incident 2: Data Breach

Regulations Violated: {Regulations_Violated}

Fines Imposed: {Fines_Imposed}

Legal Actions: {Legal_Actions}

Regulatory Notifications: {Regulatory_Notifications}

Regulatory Frameworks: The company complies with the following regulatory frameworks regarding cybersecurity: {list_of_regulatory_frameworks}.

Ensuring Regulatory Compliance: The company ensures compliance with regulatory requirements through {description_of_compliance_measures}.

Lessons Learned and Recommendations

Incident 1: Ransomware Attack

Lessons Learned: {Lessons_Learned}

Incident 2: Data Breach

Lessons Learned: {Lessons_Learned}

Incident 1: Ransomware Attack

Recommendations: {Recommendations}

Incident 2: Data Breach

Recommendations: {Recommendations}

Key Lessons Learned: The key lessons learned from past incidents are {list_of_key_lessons_learned}.

Implemented Recommendations: The company has implemented the following recommendations to improve cybersecurity: {list_of_implemented_recommendations}.

References

Incident 1: Ransomware Attack

Source: {Source}

URL: {URL}

Date Accessed: {Date_Accessed}

Incident 2: Data Breach

Source: {Source}

URL: {URL}

Date Accessed: {Date_Accessed}

Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at {list_of_additional_resources}.

Investigation Status

Incident 1: Ransomware Attack

Investigation Status: {Investigation_Status}

Incident 2: Data Breach

Investigation Status: {Investigation_Status}

Communication of Investigation Status: The company communicates the status of incident investigations to stakeholders through {description_of_communication_process}.

Stakeholder and Customer Advisories

Incident 1: Ransomware Attack

Stakeholder Advisories: {Stakeholder_Advisories}

Customer Advisories: {Customer_Advisories}


Incident 2: Data Breach

Stakeholder Advisories: {Stakeholder_Advisories}

Customer Advisories: {Customer_Advisories}

Advisories Provided: The company provides the following advisories to stakeholders and customers following an incident: {description_of_advisories_provided}.

Initial Access Broker

Incident 1: Ransomware Attack

Entry Point: {Entry_Point}

Reconnaissance Period: {Reconnaissance_Period}

Backdoors Established: {Backdoors_Established}

High Value Targets: {High_Value_Targets}

Data Sold on Dark Web: {Yes/No}

Incident 2: Data Breach

Entry Point: {Entry_Point}

Reconnaissance Period: {Reconnaissance_Period}

Backdoors Established: {Backdoors_Established}

High Value Targets: {High_Value_Targets}

Data Sold on Dark Web: {Yes/No}

Monitoring and Mitigation of Initial Access Brokers: The company monitors and mitigates the activities of initial access brokers through {description_of_monitoring_and_mitigation_measures}.

Post-Incident Analysis

Incident 1: Ransomware Attack

Root Causes: {Root_Causes}

Corrective Actions: {Corrective_Actions}

Incident 2: Data Breach

Root Causes: {Root_Causes}

Corrective Actions: {Corrective_Actions}

Post-Incident Analysis Process: The company's process for conducting post-incident analysis is described as {description_of_post_incident_analysis_process}.

Corrective Actions Taken: The company has taken the following corrective actions based on post-incident analysis: {list_of_corrective_actions_taken}.

Additional Questions

General Information

Ransom Payment History: The company has {paid/not_paid} ransoms in the past.

Last Ransom Demanded: The amount of the last ransom demanded was {last_ransom_amount}.

Last Attacking Group: The attacking group in the last incident was {last_attacking_group}.

Incident Details

Most Recent Incident Detected: The most recent incident detected was on {most_recent_incident_detected_date}.

Most Recent Incident Publicly Disclosed: The most recent incident publicly disclosed was on {most_recent_incident_publicly_disclosed_date}.

Most Recent Incident Resolved: The most recent incident resolved was on {most_recent_incident_resolved_date}.

Impact of the Incidents

Highest Financial Loss: The highest financial loss from an incident was {highest_financial_loss}.

Most Significant Data Compromised: The most significant data compromised in an incident was {most_significant_data_compromised}.

Most Significant System Affected: The most significant system affected in an incident was {most_significant_system_affected}.

Response to the Incidents

Third-Party Assistance in Most Recent Incident: The third-party assistance involved in the most recent incident was {third_party_assistance_in_most_recent_incident}.

Containment Measures in Most Recent Incident: The containment measures taken in the most recent incident were {containment_measures_in_most_recent_incident}.

Data Breach Information

Most Sensitive Data Compromised: The most sensitive data compromised in a breach was {most_sensitive_data_compromised}.

Number of Records Exposed: The number of records exposed in the most significant breach was {number_of_records_exposed}.

Ransomware Information

Highest Ransom Demanded: The highest ransom demanded in a ransomware incident was {highest_ransom_demanded}.

Highest Ransom Paid: The highest ransom paid in a ransomware incident was {highest_ransom_paid}.

Regulatory Compliance

Highest Fine Imposed: The highest fine imposed for a regulatory violation was {highest_fine_imposed}.

Most Significant Legal Action: The most significant legal action taken for a regulatory violation was {most_significant_legal_action}.

Lessons Learned and Recommendations

Most Significant Lesson Learned: The most significant lesson learned from past incidents was {most_significant_lesson_learned}.

Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was {most_significant_recommendation_implemented}.

References

Most Recent Source: The most recent source of information about an incident is {most_recent_source}.

Most Recent URL for Additional Resources: The most recent URL for additional resources on cybersecurity best practices is {most_recent_url}.

Investigation Status

Current Status of Most Recent Investigation: The current status of the most recent investigation is {current_status_of_most_recent_investigation}.

Stakeholder and Customer Advisories

Most Recent Stakeholder Advisory: The most recent stakeholder advisory issued was {most_recent_stakeholder_advisory}.

Most Recent Customer Advisory: The most recent customer advisory issued was {most_recent_customer_advisory}.

Initial Access Broker

Most Recent Entry Point: The most recent entry point used by an initial access broker was {most_recent_entry_point}.

Most Recent Reconnaissance Period: The most recent reconnaissance period for an incident was {most_recent_reconnaissance_period}.

Post-Incident Analysis

Most Significant Root Cause: The most significant root cause identified in post-incident analysis was {most_significant_root_cause}.

Most Significant Corrective Action: The most significant corrective action taken based on post-incident analysis was {most_significant_corrective_action}.

What Do We Measure?

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Incident
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Finding
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Grade
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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.

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