Jb Automotive
Company Details
Linkedin ID:
jb-automotive
Website:
Employees number:
30
Number of followers:
14
NAICS:
3332
Industry Type:
Homepage:
jbautomotive.com.au
IP Addresses:
0
Company ID:
JB _1886983
Scan Status:
In-progress
Jb Automotive Company CyberSecurity Posture
jbautomotive.com.au
None
Jb Automotive A.I CyberSecurity Scoring
Jb Automotive Risk Score (AI oriented)Between 750 and 799
Jb Automotive
Updated:
- Powered by our proprietary A.I cyber incident model
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Jb Automotive Global Score (TPRM)XXXX
Jb Automotive
- Instant access to detailed risk factors
- Benchmark vs. industry & size peers
- Vulnerabilities
- Findings
Jb Automotive Company CyberSecurity News & History
Past Incidents
1
Attack Types
1
Jb Automotive
Breach
Rankiteo Explanation
Attack limited on finance or reputation
Description: JB Autosports, Inc suffered a payment card breach in which the details for the customers who used the subispeed.com and ft86speedfactory.com sites between August 1, 2015 through November 9, 2015, were intercepted during transmission and acquired by an unknown party at a Russian IP address. The hackers got the access to information like customer names, addresses, credit card numbers, credit card expiration dates, CID numbers, CAV2 numbers, CVC2 numbers, and CVV2 numbers (“Customer Information”). JB Autosports immediately took a number of steps, including implementing live monitoring security services.
Jb Automotive 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 Jb Automotive
Incidents vs Industrial Machinery Manufacturing Industry Average (This Year)
No incidents recorded for Jb Automotive in 2025.
Incidents vs All-Companies Average (This Year)
No incidents recorded for Jb Automotive in 2025.
Incident Types Jb Automotive vs Industrial Machinery Manufacturing Industry Avg (This Year)
No incidents recorded for Jb Automotive in 2025.
Incident History — Jb Automotive (X = Date, Y = Severity)
Jb Automotive cyber incidents detection timeline including parent company and subsidiaries
Jb Automotive Company Subsidiaries
None
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Jb Automotive CyberSecurity News
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Frequently Asked Questions
Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
Jb Automotive CyberSecurity History Information
Official Website of Jb Automotive
The official website of Jb Automotive is http://www.jbautomotive.com.au/.
Jb Automotive’s AI-Generated Cybersecurity Score
According to Rankiteo, Jb Automotive’s AI-generated cybersecurity score is 753, reflecting their Fair security posture.
How many security badges does Jb Automotive’ have ?
According to Rankiteo, Jb Automotive currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
Does Jb Automotive have SOC 2 Type 1 certification ?
According to Rankiteo, Jb Automotive is not certified under SOC 2 Type 1.
Does Jb Automotive have SOC 2 Type 2 certification ?
According to Rankiteo, Jb Automotive does not hold a SOC 2 Type 2 certification.
Does Jb Automotive comply with GDPR ?
According to Rankiteo, Jb Automotive is not listed as GDPR compliant.
Does Jb Automotive have PCI DSS certification ?
According to Rankiteo, Jb Automotive does not currently maintain PCI DSS compliance.
Does Jb Automotive comply with HIPAA ?
According to Rankiteo, Jb Automotive is not compliant with HIPAA regulations.
Does Jb Automotive have ISO 27001 certification ?
According to Rankiteo,Jb Automotive is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Industry Classification of Jb Automotive
Jb Automotive operates primarily in the Industrial Machinery Manufacturing industry.
Number of Employees at Jb Automotive
Jb Automotive employs approximately 30 people worldwide.
Subsidiaries Owned by Jb Automotive
Jb Automotive presently has no subsidiaries across any sectors.
Jb Automotive’s LinkedIn Followers
Jb Automotive’s official LinkedIn profile has approximately 14 followers.
NAICS Classification of Jb Automotive
Jb Automotive is classified under the NAICS code 3332, which corresponds to Industrial Machinery Manufacturing.
Jb Automotive’s Presence on Crunchbase
No, Jb Automotive does not have a profile on Crunchbase.
Jb Automotive’s Presence on LinkedIn
Yes, Jb Automotive maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/jb-automotive.
Cybersecurity Incidents Involving Jb Automotive
As of November 28, 2025, Rankiteo reports that Jb Automotive has experienced 1 cybersecurity incidents.
Number of Peer and Competitor Companies
Jb Automotive has an estimated 7,429 peer or competitor companies worldwide.
What types of cybersecurity incidents have occurred at Jb Automotive ?
Incident Types: The types of cybersecurity incidents that have occurred include Breach.
How does Jb Automotive detect and respond to cybersecurity incidents ?
Detection and Response: The company detects and responds to cybersecurity incidents through an remediation measures with implementing live monitoring security services, and enhanced monitoring with implementing live monitoring security services..
Incident Details
Can you provide details on each incident ?
Title: Payment Card Breach at JB Autosports
Description: JB Autosports, Inc suffered a payment card breach in which the details for the customers who used the subispeed.com and ft86speedfactory.com sites between August 1, 2015 through November 9, 2015, were intercepted during transmission and acquired by an unknown party at a Russian IP address.
Date Detected: 2015-11-09
Type: Payment Card Breach
Attack Vector: Interception of payment card details during transmission
Vulnerability Exploited: Insecure transmission of payment card data
Threat Actor: Unknown party at a Russian IP address
Motivation: Financial gain
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 Breach.
How does the company identify the attack vectors used in incidents ?
Identification of Attack Vectors: The company identifies the attack vectors used in incidents through Interception of payment card details during transmission.
Impact of the Incidents
What was the impact of each incident ?
Incident : Payment Card Breach JBA20185123
Data Compromised: Customer names, Addresses, Credit card numbers, Credit card expiration dates, Cid numbers, Cav2 numbers, Cvc2 numbers, Cvv2 numbers
Systems Affected: subispeed.comft86speedfactory.com
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 Customer Names, Addresses, Credit Card Numbers, Credit Card Expiration Dates, Cid Numbers, Cav2 Numbers, Cvc2 Numbers, Cvv2 Numbers and .
Which entities were affected by each incident ?
Incident : Payment Card Breach JBA20185123
Entity Name: JB Autosports, Inc
Entity Type: Company
Industry: Automotive
Response to the Incidents
What measures were taken in response to each incident ?
Incident : Payment Card Breach JBA20185123
Remediation Measures: Implementing live monitoring security services
Enhanced Monitoring: Implementing live monitoring security services
Data Breach Information
What type of data was compromised in each breach ?
Incident : Payment Card Breach JBA20185123
Type of Data Compromised: Customer names, Addresses, Credit card numbers, Credit card expiration dates, Cid numbers, Cav2 numbers, Cvc2 numbers, Cvv2 numbers
Sensitivity of Data: High
Data Exfiltration: Yes
Personally Identifiable Information: Yes
What measures does the company take to prevent data exfiltration ?
Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: Implementing live monitoring security services, .
Initial Access Broker
How did the initial access broker gain entry for each incident ?
Incident : Payment Card Breach JBA20185123
Entry Point: Interception of payment card details during transmission
Post-Incident Analysis
What were the root causes and corrective actions taken for each incident ?
Incident : Payment Card Breach JBA20185123
Root Causes: Insecure transmission of payment card data
Corrective Actions: Implementing Live Monitoring Security Services,
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 Implementing Live Monitoring Security Services, .
What corrective actions has the company taken based on post-incident analysis ?
Corrective Actions Taken: The company has taken the following corrective actions based on post-incident analysis: Implementing Live Monitoring Security Services, .
Additional Questions
General Information
Who was the attacking group in the last incident ?
Last Attacking Group: The attacking group in the last incident was an Unknown party at a Russian IP address.
Incident Details
What was the most recent incident detected ?
Most Recent Incident Detected: The most recent incident detected was on 2015-11-09.
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 Customer names, Addresses, Credit card numbers, Credit card expiration dates, CID numbers, CAV2 numbers, CVC2 numbers, CVV2 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 subispeed.comft86speedfactory.com.
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 Addresses, CVV2 numbers, Credit card numbers, CVC2 numbers, Customer names, Credit card expiration dates, CAV2 numbers and CID numbers.
Initial Access Broker
What was the most recent entry point used by an initial access broker ?
Most Recent Entry Point: The most recent entry point used by an initial access broker was an Interception of payment card details during transmission.
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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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SBOM (Software Bill of Materials)
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