MCL
Company Details
Linkedin ID:
machine-covers
Website:
Employees number:
5
Number of followers:
93
NAICS:
None
Industry Type:
Homepage:
machinecovers.co.uk
IP Addresses:
0
Company ID:
MAC_1998452
Scan Status:
In-progress
Machine Covers Ltd Company CyberSecurity Posture
machinecovers.co.uk
Our extensive product range includes concertina covers, industrial roller blinds, static covers and flexible connections, steel telescopic slideway covers and robot covers. We also offer health and safety consultancy and engineering services, including safety audits and risk assessments, as well as a full range of machine safety guarding solutions. Most types of safety guarding and electrical interlocks are stock items. With experience working across a wide range of industries, we are able to fully understand your individual requirements. Our personal and flexible approach enables us to achieve your exact objectives.
Machine Covers Ltd A.I CyberSecurity Scoring
MCL Risk Score (AI oriented)Between 750 and 799
MCL
Updated:
- Powered by our proprietary A.I cyber incident model
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MCL Global Score (TPRM)XXXX
MCL
- Instant access to detailed risk factors
- Benchmark vs. industry & size peers
- Vulnerabilities
- Findings
MCL Company CyberSecurity News & History
Past Incidents
0
Attack Types
0
No data available
MCL 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 MCL
Incidents vs Mechanical Or Industrial Engineering Industry Average (This Year)
No incidents recorded for Machine Covers Ltd in 2025.
Incidents vs All-Companies Average (This Year)
No incidents recorded for Machine Covers Ltd in 2025.
Incident Types MCL vs Mechanical Or Industrial Engineering Industry Avg (This Year)
No incidents recorded for Machine Covers Ltd in 2025.
Incident History — MCL (X = Date, Y = Severity)
MCL cyber incidents detection timeline including parent company and subsidiaries
MCL Company Subsidiaries
Our extensive product range includes concertina covers, industrial roller blinds, static covers and flexible connections, steel telescopic slideway covers and robot covers. We also offer health and safety consultancy and engineering services, including safety audits and risk assessments, as well as a full range of machine safety guarding solutions. Most types of safety guarding and electrical interlocks are stock items. With experience working across a wide range of industries, we are able to fully understand your individual requirements. Our personal and flexible approach enables us to achieve your exact objectives.
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MCL CyberSecurity News
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Frequently Asked Questions
Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
MCL CyberSecurity History Information
Official Website of Machine Covers Ltd
The official website of Machine Covers Ltd is http://www.machinecovers.co.uk.
Machine Covers Ltd’s AI-Generated Cybersecurity Score
According to Rankiteo, Machine Covers Ltd’s AI-generated cybersecurity score is 754, reflecting their Fair security posture.
How many security badges does Machine Covers Ltd’ have ?
According to Rankiteo, Machine Covers Ltd currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
Does Machine Covers Ltd have SOC 2 Type 1 certification ?
According to Rankiteo, Machine Covers Ltd is not certified under SOC 2 Type 1.
Does Machine Covers Ltd have SOC 2 Type 2 certification ?
According to Rankiteo, Machine Covers Ltd does not hold a SOC 2 Type 2 certification.
Does Machine Covers Ltd comply with GDPR ?
According to Rankiteo, Machine Covers Ltd is not listed as GDPR compliant.
Does Machine Covers Ltd have PCI DSS certification ?
According to Rankiteo, Machine Covers Ltd does not currently maintain PCI DSS compliance.
Does Machine Covers Ltd comply with HIPAA ?
According to Rankiteo, Machine Covers Ltd is not compliant with HIPAA regulations.
Does Machine Covers Ltd have ISO 27001 certification ?
According to Rankiteo,Machine Covers Ltd is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Industry Classification of Machine Covers Ltd
Machine Covers Ltd operates primarily in the Mechanical Or Industrial Engineering industry.
Number of Employees at Machine Covers Ltd
Machine Covers Ltd employs approximately 5 people worldwide.
Subsidiaries Owned by Machine Covers Ltd
Machine Covers Ltd presently has no subsidiaries across any sectors.
Machine Covers Ltd’s LinkedIn Followers
Machine Covers Ltd’s official LinkedIn profile has approximately 93 followers.
NAICS Classification of Machine Covers Ltd
Machine Covers Ltd is classified under the NAICS code None, which corresponds to Others.
Machine Covers Ltd’s Presence on Crunchbase
No, Machine Covers Ltd does not have a profile on Crunchbase.
Machine Covers Ltd’s Presence on LinkedIn
Yes, Machine Covers Ltd maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/machine-covers.
Cybersecurity Incidents Involving Machine Covers Ltd
As of November 28, 2025, Rankiteo reports that Machine Covers Ltd has not experienced any cybersecurity incidents.
Number of Peer and Competitor Companies
Machine Covers Ltd has an estimated 2,056 peer or competitor companies worldwide.
Machine Covers Ltd CyberSecurity History Information
How many cyber incidents has Machine Covers Ltd faced ?
Total Incidents: According to Rankiteo, Machine Covers Ltd has faced 0 incidents in the past.
What types of cybersecurity incidents have occurred at Machine Covers Ltd ?
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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Incident
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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.
