DIGOGD A.I CyberSecurity Scoring
13/03/2026
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for Digital Innovation, Geoinformation & Open Government Data in 2026.
No incidents recorded for Digital Innovation, Geoinformation & Open Government Data in 2026.
No incidents recorded for Digital Innovation, Geoinformation & Open Government Data in 2026.
MANTECH is more than a technology company. We are a company dedicated to service, and we consider our work a part of the public trust. The people of MANTECH are privileged to work for the security of the United States, the welfare of our service members and veterans, the protection of our communities, and the cause of better health care. We have served the nation for more than 57 years, and in that time we have continually changed and grown to provide the technology that government needs to meet new challenges. We seek people with the same strong ethic of service, creativity, energy, and dedication to serving our country. We are comprised of more than 9,800 talented employees around the world. Nearly 40% of our employees are veterans. Many others come from the Intelligence Community, Homeland Security and federal civilian agencies. We understand our customers’ challenges because we know their world firsthand. When Federal managers and military leaders face tough challenges in cyber, data collection & analysis, enterprise IT or systems and software engineering, they turn to MANTECH to get the job done right. These professionals trust MANTECH and stay with us for years because we understand their needs and tackle their most complex challenges head on. They know that reaching their goal is our ultimate objective.
Latest updates, reports, and threat intel affecting the global network.
Ainur Rychshanova is an experienced GIS Analyst based in Doha, Qatar, with over eight years of expertise in geospatial data management,...
Baku, March 2, AZERTAC. The Space Agency of Azerbaijan (Azercosmos), a company of AZCON Holding, is attending the Mobile World Congress (MWC...
GRIT, Ukraine's new digital demining platform, uses AI, data modeling and satellite inputs to prioritize clearance and speed up safe...
Under the glitz and glamour of online casinos and sports betting sites, a surprising combination of technologies can be found, such as those pulled from the...
Advancing Climate Resilience through Geospatial Innovation: GIS and Remote Sensing Coordinator at People in Need.
The most recent edition of Intergeo – the world's leading geospatial gathering – left no doubt that geoinformation has moved into th...
Topcon Positioning Systems announces the expansion of its geomatics portfolio, featuring advancements in mass data software solutions...
Topcon Positioning Systems today announced the creation of a dedicated business structure focused on delivering high-precision technology,...
From Oct. 7-9, the Frankfurt Exhibition Center will host the world's leading conference and trade show for geodesy, geoinformation and land...
Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). A low-privileged authenticated user can send a specially crafted request to a Kibana machine learning feature, causing the server to exhaust available memory and become unavailable to all users.
Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated attacker with low-privilege access can trigger a denial of service condition in Kibana by sending a specially crafted, oversized request payload. Processing this user-supplied input requires resource-intensive memory allocation that can exhaust the available heap memory in the Kibana process, causing it to crash and become unavailable to all users.
Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to information disclosure via user-supplied identifiers that reference scheduled query result data from Kibana Spaces the requester is not authorized to access.
Incorrect Authorization (CWE-863) in Kibana can lead to integrity compromise of Machine Learning audit and notification records via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). A vulnerability exists in Kibana's Machine Learning functionality where a Machine Learning management endpoint performs an insufficient authorization check. The endpoint validates only a coarse privilege level but does not verify that the requesting user has access to the specific Machine Learning job or notification resources provided in the request. As a result, a low-privileged user with Machine Learning access in any Kibana space can manipulate Machine Learning audit and notification records for arbitrary jobs—including jobs in other spaces or belonging to other users—by leveraging Kibana's internally elevated credentials to write to restricted Machine Learning system indices that the user cannot access directly.
Uncontrolled Recursion (CWE-674) in Elasticsearch can lead to denial of service via a specially crafted search request submitted by a low-privileged authenticated user. A user with read-level index access can submit a request that triggers unbounded recursive processing within the Elasticsearch query evaluation component, causing a fatal error that terminates the affected node. In single-node deployments, this results in complete service outage; in multi-node clusters, it causes repeated node restarts and sustained availability degradation.
curl -i -X GET 'https://api.rankiteo.com/underwriter-getcompany-history?
linkedin_id=axa' -H 'apikey: YOUR_API_KEY_HERE'
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