Company Details
green-machine-computers-ltd
14
1,293
None
greenmachinecomputers.com
0
GRE_2201525
In-progress

Green Machine Computers Ltd Company CyberSecurity Posture
greenmachinecomputers.comWelcome to Green Machine. We are a green IT recycling, IT support and IT training academy. What we believe Refurbish, Recycle, Reuse. We believe that too much unwanted or used IT is dumped in landfill or crushed, when it’s useful life may not be over. We want to stop that and use it for the common good. We believe there is a useful life for over 80% of the IT equipment businesses and individuals dispose of. We think that even the remaining 20% can be reused or recycled in a more sustainable way. Together, let’s stop the landfill nightmare. We furthermore believe that business should be a force for good – if you do the right thing for customers, colleagues, business partners and your communities, then good business results will surely follow. What do we do? We collect unwanted IT equipment, take it to triage in our lab, then recyle the parts or refurbish it for use by organisations which cannot afford the latest equipment. Our collections are free of charge, unless there are hazardous items like CRT monitors, where a small charge applies. We recycle to Waste Electrical and Electronic Equipment Directive (WEEE) and destroy data to military standards. We provide full documentation for both. Once the equipment is refurbished we create a virtuous circle by selling the refurbished equipment to local charities, schools, VSO’s and SME’s at preferential rates. We train young people in IT and offer them a path to IT apprenticeship qualifications. Some of our trainees come from disadvantaged backgrounds and with learning difficulties where they have struggled to gain formal qualifications or hold down full time employment. We teach them about IT equipment, how it works and how to disassemble it. We show them how to recognize the reusable items or parts and how to safely recycle them. Our aim is to improve their working skills and professional interaction skills as well as taking them on a journey to formal qualifications.
Company Details
green-machine-computers-ltd
14
1,293
None
greenmachinecomputers.com
0
GRE_2201525
In-progress
Between 750 and 799

GMCL Global Score (TPRM)XXXX



No incidents recorded for Green Machine Computers Ltd in 2025.
No incidents recorded for Green Machine Computers Ltd in 2025.
No incidents recorded for Green Machine Computers Ltd in 2025.
GMCL cyber incidents detection timeline including parent company and subsidiaries

Welcome to Green Machine. We are a green IT recycling, IT support and IT training academy. What we believe Refurbish, Recycle, Reuse. We believe that too much unwanted or used IT is dumped in landfill or crushed, when it’s useful life may not be over. We want to stop that and use it for the common good. We believe there is a useful life for over 80% of the IT equipment businesses and individuals dispose of. We think that even the remaining 20% can be reused or recycled in a more sustainable way. Together, let’s stop the landfill nightmare. We furthermore believe that business should be a force for good – if you do the right thing for customers, colleagues, business partners and your communities, then good business results will surely follow. What do we do? We collect unwanted IT equipment, take it to triage in our lab, then recyle the parts or refurbish it for use by organisations which cannot afford the latest equipment. Our collections are free of charge, unless there are hazardous items like CRT monitors, where a small charge applies. We recycle to Waste Electrical and Electronic Equipment Directive (WEEE) and destroy data to military standards. We provide full documentation for both. Once the equipment is refurbished we create a virtuous circle by selling the refurbished equipment to local charities, schools, VSO’s and SME’s at preferential rates. We train young people in IT and offer them a path to IT apprenticeship qualifications. Some of our trainees come from disadvantaged backgrounds and with learning difficulties where they have struggled to gain formal qualifications or hold down full time employment. We teach them about IT equipment, how it works and how to disassemble it. We show them how to recognize the reusable items or parts and how to safely recycle them. Our aim is to improve their working skills and professional interaction skills as well as taking them on a journey to formal qualifications.


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Avastor Inc is one of the fastest growing companies supplying digital storage solutions to audio/video professionals. Our blend of informal corporate culture, coupled with an intense desire to satisfy the needs of our customers, has resulted in a blue-ribbon list of satisfied users, both domestic a

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Founded in 1997, AAB International BV is an independent wholesale distributor for computer components, consumer electronics and small appliances. From the latest new and “fast moving” items to factory surplus or recertified products, we offer a tailor-made portfolio to PC builders, Distributors,
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Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
The official website of Green Machine Computers Ltd is http://www.greenmachinecomputers.com.
According to Rankiteo, Green Machine Computers Ltd’s AI-generated cybersecurity score is 753, reflecting their Fair security posture.
According to Rankiteo, Green Machine Computers Ltd currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
According to Rankiteo, Green Machine Computers Ltd is not certified under SOC 2 Type 1.
According to Rankiteo, Green Machine Computers Ltd does not hold a SOC 2 Type 2 certification.
According to Rankiteo, Green Machine Computers Ltd is not listed as GDPR compliant.
According to Rankiteo, Green Machine Computers Ltd does not currently maintain PCI DSS compliance.
According to Rankiteo, Green Machine Computers Ltd is not compliant with HIPAA regulations.
According to Rankiteo,Green Machine Computers Ltd is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Green Machine Computers Ltd operates primarily in the Computer Hardware industry.
Green Machine Computers Ltd employs approximately 14 people worldwide.
Green Machine Computers Ltd presently has no subsidiaries across any sectors.
Green Machine Computers Ltd’s official LinkedIn profile has approximately 1,293 followers.
No, Green Machine Computers Ltd does not have a profile on Crunchbase.
Yes, Green Machine Computers 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/green-machine-computers-ltd.
As of November 27, 2025, Rankiteo reports that Green Machine Computers Ltd has not experienced any cybersecurity incidents.
Green Machine Computers Ltd has an estimated 320 peer or competitor companies worldwide.
Total Incidents: According to Rankiteo, Green Machine Computers Ltd has faced 0 incidents in the past.
Incident Types: The types of cybersecurity incidents that have occurred include .
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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.
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.
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.
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.
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.

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