Comparison Overview
Tata Elxsi Japan

Tata Elxsi Japan
堀川町580, 川崎市, 212-0013, JP
Last Update: 10/03/2026
タタ・エレクシー・リミテッドは、自動車、放送、通信、ヘルスケアなどの業界に向けて設計および技術サービスを提供する会社です。当社は、IoT (モノのインターネット)、クラウド、モビリティ、仮想現実、人工知能などのデジタル技術のデザイン思考とその応用によりお客様の製品とサービスを新たに具現化しています。まさに 無限の可能性を秘めた場所であると言っても過言ではありません。私たちは、誰にでもチャンスがあると信じています。大胆に、好奇心旺盛に、未来を形作ることを目指しています。可能性を探り、好きなことを発見し、成長への加速する道をどうぞ見つけて...

AeC
Rua Espírito Santo, 871 - Bairro Centro, Belo Horizonte, 30160-031, BR
Last Update: 02/04/2026
A AeC é apontada consistentemente como a líder brasileira na entrega de soluções de experiência do cliente e gestão de processos terceirizados. Servindo as principais marcas do mercado nacional, conquistou nos três últimos anos a posição de Empresa do Ano de BPO pela ...
Compliance Ranges Comparison

Tata Elxsi Japan







AeC






Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Tata Elxsi Japan in 2026.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for AeC in 2026.
Incident History - Tata Elxsi Japan (X = Date, Y = Severity)
Tata Elxsi Japan cyber incidents detection timeline including parent company and subsidiaries.
Incident History - AeC (X = Date, Y = Severity)
AeC cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Tata Elxsi Japan

AeC
FAQ
Latest Global CVEs
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.