LTP
Company Details
Linkedin ID:
locomotive-truck-parts
Employees number:
None employees
Number of followers:
21
NAICS:
3365
Industry Type:
Homepage:
milleringenuity.com
IP Addresses:
0
Company ID:
LOC_5215276
Scan Status:
In-progress
Locomotive Truck Parts Company CyberSecurity Posture
milleringenuity.com
Our innovative locomotive truck kit process has completely set the standard for the truck part industry and has sealed our reputation as a provider of accurate and reliable truck parts. The kits are compact and CUSTOMIZED to meet your specifications. Our ERP and pick-to-light system (PickStar), allows us to choose and label the kit materials accurately every single time. With this system, we are able to reduce the time our customers need to stage materials for a job by simply placing the products into the kit in the order that they will need to use them. We like to be present for the delivery of the first kit to ensure it meets everyone’s satisfaction. Additionally, if there are changes from the customer to add or subtract material, we fulfill those requests right away. This can be done after the first kit or anytime you need to make a change. Contact our team to learn more about our in-stock inventory!
Locomotive Truck Parts A.I CyberSecurity Scoring
LTP Risk Score (AI oriented)Between 700 and 749
LTP
Updated:
- Powered by our proprietary A.I cyber incident model
- Insurance preferes TPRM score to calculate premium
LTP Global Score (TPRM)XXXX
LTP
- Instant access to detailed risk factors
- Benchmark vs. industry & size peers
- Vulnerabilities
- Findings
LTP Company CyberSecurity News & History
Past Incidents
0
Attack Types
0
No data available
LTP 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 LTP
Incidents vs Railroad Equipment Manufacturing Industry Average (This Year)
No incidents recorded for Locomotive Truck Parts in 2025.
Incidents vs All-Companies Average (This Year)
No incidents recorded for Locomotive Truck Parts in 2025.
Incident Types LTP vs Railroad Equipment Manufacturing Industry Avg (This Year)
No incidents recorded for Locomotive Truck Parts in 2025.
Incident History — LTP (X = Date, Y = Severity)
LTP cyber incidents detection timeline including parent company and subsidiaries
LTP Company Subsidiaries
Our innovative locomotive truck kit process has completely set the standard for the truck part industry and has sealed our reputation as a provider of accurate and reliable truck parts. The kits are compact and CUSTOMIZED to meet your specifications. Our ERP and pick-to-light system (PickStar), allows us to choose and label the kit materials accurately every single time. With this system, we are able to reduce the time our customers need to stage materials for a job by simply placing the products into the kit in the order that they will need to use them. We like to be present for the delivery of the first kit to ensure it meets everyone’s satisfaction. Additionally, if there are changes from the customer to add or subtract material, we fulfill those requests right away. This can be done after the first kit or anytime you need to make a change. Contact our team to learn more about our in-stock inventory!
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LTP CyberSecurity News
November 27, 2025 07:00 PM
Protect Your Data This Thanksgiving! 🦃 The holidays bring more than just food and fun—they also bring a rise in cybercrime. From fake shopping deals to fraudulent charity donations, cybercriminals know the holiday season can make us distracted and rushed
November 27, 2025 07:00 PM
Zero Trust Architecture 2025: The Ultimate Cybersecurity Shield for Modern Enterprises
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November 27, 2025 05:20 PM
Report Names Teen in Scattered LAPSUS$ Hunters, Group Denies
A 15‑year‑old in Jordan who goes by the handle “Rey” online has been allegedly identified as a key figure in the hacking crew Scattered...
November 27, 2025 05:14 PM
Japan Asahi ransomware attack leaks data of over 1.52 million customers
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One Identity Safeguard Named a Visionary in the 2025 Gartner Magic Quadrant for PAM
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November 27, 2025 05:14 PM
ChatGPT of OpenAI Hacked and data leaked
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November 27, 2025 04:56 PM
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A small survey of central banks across the world has revealed most are experimenting with artificial intelligence only in low-risk processes...
November 27, 2025 04:26 PM
Quttera Launches "Evidence-as-Code" API to Automate Security Compliance for SOC 2 and PCI DSS v4.0
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Frequently Asked Questions
Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
LTP CyberSecurity History Information
Official Website of Locomotive Truck Parts
The official website of Locomotive Truck Parts is https://www.milleringenuity.com/Products/Locomotive-Truck-Parts.
Locomotive Truck Parts’s AI-Generated Cybersecurity Score
According to Rankiteo, Locomotive Truck Parts’s AI-generated cybersecurity score is 749, reflecting their Moderate security posture.
How many security badges does Locomotive Truck Parts’ have ?
According to Rankiteo, Locomotive Truck Parts currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
Does Locomotive Truck Parts have SOC 2 Type 1 certification ?
According to Rankiteo, Locomotive Truck Parts is not certified under SOC 2 Type 1.
Does Locomotive Truck Parts have SOC 2 Type 2 certification ?
According to Rankiteo, Locomotive Truck Parts does not hold a SOC 2 Type 2 certification.
Does Locomotive Truck Parts comply with GDPR ?
According to Rankiteo, Locomotive Truck Parts is not listed as GDPR compliant.
Does Locomotive Truck Parts have PCI DSS certification ?
According to Rankiteo, Locomotive Truck Parts does not currently maintain PCI DSS compliance.
Does Locomotive Truck Parts comply with HIPAA ?
According to Rankiteo, Locomotive Truck Parts is not compliant with HIPAA regulations.
Does Locomotive Truck Parts have ISO 27001 certification ?
According to Rankiteo,Locomotive Truck Parts is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Industry Classification of Locomotive Truck Parts
Locomotive Truck Parts operates primarily in the Railroad Equipment Manufacturing industry.
Number of Employees at Locomotive Truck Parts
Locomotive Truck Parts employs approximately None employees people worldwide.
Subsidiaries Owned by Locomotive Truck Parts
Locomotive Truck Parts presently has no subsidiaries across any sectors.
Locomotive Truck Parts’s LinkedIn Followers
Locomotive Truck Parts’s official LinkedIn profile has approximately 21 followers.
NAICS Classification of Locomotive Truck Parts
Locomotive Truck Parts is classified under the NAICS code 3365, which corresponds to Railroad Rolling Stock Manufacturing.
Locomotive Truck Parts’s Presence on Crunchbase
No, Locomotive Truck Parts does not have a profile on Crunchbase.
Locomotive Truck Parts’s Presence on LinkedIn
Yes, Locomotive Truck Parts maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/locomotive-truck-parts.
Cybersecurity Incidents Involving Locomotive Truck Parts
As of November 27, 2025, Rankiteo reports that Locomotive Truck Parts has not experienced any cybersecurity incidents.
Number of Peer and Competitor Companies
Locomotive Truck Parts has an estimated 275 peer or competitor companies worldwide.
Locomotive Truck Parts CyberSecurity History Information
How many cyber incidents has Locomotive Truck Parts faced ?
Total Incidents: According to Rankiteo, Locomotive Truck Parts has faced 0 incidents in the past.
What types of cybersecurity incidents have occurred at Locomotive Truck Parts ?
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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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.
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Network Security
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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.
