Company Details
klinger-schöneberg-gmbh
9
774
None
klinger-schoeneberg.de
0
KLI_9925374
In-progress

KLINGER Schöneberg Company CyberSecurity Posture
klinger-schoeneberg.deKLINGER SCHÖNEBERG GmbH is a flexible medium-sized company focusing on research, development, manufacturing and sales of industrial valves, especially ball valves and pneumatic actuators. KLINGER SCHÖNEBERG combines decades of experience with a high level of competence in the development of customised system and special solutions as well as providing technical application advice. Within the KLINGER Group, represented at 60 locations worldwide and comprising more than 40 companies, the highly specialised company focuses on critical applications in the chemical, petrochemical, plant and mechanical engineering industries. A wide range of technologies as well as customised solutions are used, including automated solutions for even the toughest conditions. The highest quality, innovative strength, the long lifetime of the products as well as extensive application knowledge and experience make KLINGER Schöneberg a leading company in the field of industrial valves. More than two decades of experience and more than 12,000 different product designs are the basis for quick responce and mutual success. Imprint: www.klinger-schoeneberg.de/en/imprint Provacy policy: www.klinger-schoeneberg.de/en/privacy-policy
Company Details
klinger-schöneberg-gmbh
9
774
None
klinger-schoeneberg.de
0
KLI_9925374
In-progress
Between 750 and 799

KLINGER Schöneberg Global Score (TPRM)XXXX



No incidents recorded for KLINGER Schöneberg in 2025.
No incidents recorded for KLINGER Schöneberg in 2025.
No incidents recorded for KLINGER Schöneberg in 2025.
KLINGER Schöneberg cyber incidents detection timeline including parent company and subsidiaries

KLINGER SCHÖNEBERG GmbH is a flexible medium-sized company focusing on research, development, manufacturing and sales of industrial valves, especially ball valves and pneumatic actuators. KLINGER SCHÖNEBERG combines decades of experience with a high level of competence in the development of customised system and special solutions as well as providing technical application advice. Within the KLINGER Group, represented at 60 locations worldwide and comprising more than 40 companies, the highly specialised company focuses on critical applications in the chemical, petrochemical, plant and mechanical engineering industries. A wide range of technologies as well as customised solutions are used, including automated solutions for even the toughest conditions. The highest quality, innovative strength, the long lifetime of the products as well as extensive application knowledge and experience make KLINGER Schöneberg a leading company in the field of industrial valves. More than two decades of experience and more than 12,000 different product designs are the basis for quick responce and mutual success. Imprint: www.klinger-schoeneberg.de/en/imprint Provacy policy: www.klinger-schoeneberg.de/en/privacy-policy


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Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
The official website of KLINGER Schöneberg is http://klinger-schoeneberg.de.
According to Rankiteo, KLINGER Schöneberg’s AI-generated cybersecurity score is 752, reflecting their Fair security posture.
According to Rankiteo, KLINGER Schöneberg currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
According to Rankiteo, KLINGER Schöneberg is not certified under SOC 2 Type 1.
According to Rankiteo, KLINGER Schöneberg does not hold a SOC 2 Type 2 certification.
According to Rankiteo, KLINGER Schöneberg is not listed as GDPR compliant.
According to Rankiteo, KLINGER Schöneberg does not currently maintain PCI DSS compliance.
According to Rankiteo, KLINGER Schöneberg is not compliant with HIPAA regulations.
According to Rankiteo,KLINGER Schöneberg is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
KLINGER Schöneberg operates primarily in the Mechanical Or Industrial Engineering industry.
KLINGER Schöneberg employs approximately 9 people worldwide.
KLINGER Schöneberg presently has no subsidiaries across any sectors.
KLINGER Schöneberg’s official LinkedIn profile has approximately 774 followers.
KLINGER Schöneberg is classified under the NAICS code None, which corresponds to Others.
No, KLINGER Schöneberg does not have a profile on Crunchbase.
Yes, KLINGER Schöneberg maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/klinger-schöneberg-gmbh.
As of November 28, 2025, Rankiteo reports that KLINGER Schöneberg has not experienced any cybersecurity incidents.
KLINGER Schöneberg has an estimated 2,057 peer or competitor companies worldwide.
Total Incidents: According to Rankiteo, KLINGER Schöneberg 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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