Comparison Overview
Southern Linc

Southern Linc
5555 Glenridge Connector, Suite 500, Atlanta, GA, US, 30342
Last Update: 05/03/2026
Southern Linc is an Atlanta, Georgia based integrated digital wireless service provider that began serving commercial customers in February 1996. Southern Linc was developed by its parent company, Southern Company (NYSE: SO), to meet the wireless communications needs of...

SFR
16, Rue du Général Alain de Boissieu, Paris, 75015, FR
Last Update: 01/04/2026
SFR is the number one alternative telecoms operator in France. SFR is also an operator providing a comprehensive range of services meeting the expectations of private and business customers alike, offering them the best of the digital world. At year-end 2011, the total ...
Compliance Ranges Comparison

Southern Linc







SFR






Benchmark & Cyber Underwriting Signals
Incidents vs Telecommunications Industry Avg (This Year)
No incidents recorded for Southern Linc in 2026.
Incidents vs Telecommunications Industry Avg (This Year)
No incidents recorded for SFR in 2026.
Incident History - Southern Linc (X = Date, Y = Severity)
Southern Linc cyber incidents detection timeline including parent company and subsidiaries.
Incident History - SFR (X = Date, Y = Severity)
SFR cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Southern Linc

SFR
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.