Company Details
fellenzer-engineering-llp
27
144
None
fellp.com
0
FEL_3639230
In-progress

Fellenzer Engineering, LLP Company CyberSecurity Posture
fellp.comFellenzer Engineering, LLP, a nationally recognized engineering firm, leads the Hudson Valley in innovative engineering consultation, analysis and design. Our award-winning designs have earned us work with some of the largest commercial facilities in the area, including Giants Stadium and Newark International Airport, along with numerous multi-year Term Contracts with New York State’s Dormitory Authority and Office of General Services, The US Postal Service and The Department of Veterans Affairs. Our half century of success is a direct result of our corporate values, our intelligent and creative staff and our focus on exceptional client service. Our members come from some of the country’s most prestigious engineering schools and have a passion for creativity and design. Respect, integrity, and accountability guide our staff through each project - insuring each client a customized and cost-effective solution to their engineering needs. Strategically located in the Mid-Hudson region, we work with clients from Pennsylvania to Connecticut, Albany to Central New Jersey and everywhere in between. We are licensed in New York, Pennsylvania, Connecticut, Massachusetts, New Jersey, and Rhode Island.
Company Details
fellenzer-engineering-llp
27
144
None
fellp.com
0
FEL_3639230
In-progress
Between 750 and 799

FEL Global Score (TPRM)XXXX



No incidents recorded for Fellenzer Engineering, LLP in 2025.
No incidents recorded for Fellenzer Engineering, LLP in 2025.
No incidents recorded for Fellenzer Engineering, LLP in 2025.
FEL cyber incidents detection timeline including parent company and subsidiaries

Fellenzer Engineering, LLP, a nationally recognized engineering firm, leads the Hudson Valley in innovative engineering consultation, analysis and design. Our award-winning designs have earned us work with some of the largest commercial facilities in the area, including Giants Stadium and Newark International Airport, along with numerous multi-year Term Contracts with New York State’s Dormitory Authority and Office of General Services, The US Postal Service and The Department of Veterans Affairs. Our half century of success is a direct result of our corporate values, our intelligent and creative staff and our focus on exceptional client service. Our members come from some of the country’s most prestigious engineering schools and have a passion for creativity and design. Respect, integrity, and accountability guide our staff through each project - insuring each client a customized and cost-effective solution to their engineering needs. Strategically located in the Mid-Hudson region, we work with clients from Pennsylvania to Connecticut, Albany to Central New Jersey and everywhere in between. We are licensed in New York, Pennsylvania, Connecticut, Massachusetts, New Jersey, and Rhode Island.


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Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
The official website of Fellenzer Engineering, LLP is http://www.fellp.com/.
According to Rankiteo, Fellenzer Engineering, LLP’s AI-generated cybersecurity score is 756, reflecting their Fair security posture.
According to Rankiteo, Fellenzer Engineering, LLP currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
According to Rankiteo, Fellenzer Engineering, LLP is not certified under SOC 2 Type 1.
According to Rankiteo, Fellenzer Engineering, LLP does not hold a SOC 2 Type 2 certification.
According to Rankiteo, Fellenzer Engineering, LLP is not listed as GDPR compliant.
According to Rankiteo, Fellenzer Engineering, LLP does not currently maintain PCI DSS compliance.
According to Rankiteo, Fellenzer Engineering, LLP is not compliant with HIPAA regulations.
According to Rankiteo,Fellenzer Engineering, LLP is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Fellenzer Engineering, LLP operates primarily in the Mechanical Or Industrial Engineering industry.
Fellenzer Engineering, LLP employs approximately 27 people worldwide.
Fellenzer Engineering, LLP presently has no subsidiaries across any sectors.
Fellenzer Engineering, LLP’s official LinkedIn profile has approximately 144 followers.
No, Fellenzer Engineering, LLP does not have a profile on Crunchbase.
Yes, Fellenzer Engineering, LLP maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/fellenzer-engineering-llp.
As of November 27, 2025, Rankiteo reports that Fellenzer Engineering, LLP has not experienced any cybersecurity incidents.
Fellenzer Engineering, LLP has an estimated 2,063 peer or competitor companies worldwide.
Total Incidents: According to Rankiteo, Fellenzer Engineering, LLP 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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