Label Works A.I CyberSecurity Scoring
29/03/2026
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for Label Works in 2026.
No incidents recorded for Label Works in 2026.
No incidents recorded for Label Works in 2026.
Latest updates, reports, and threat intel affecting the global network.
TALLAHASSEE, Florida — State lawmakers are advancing sweeping proposals to establish a new domestic terrorism label for groups in Florida,...
Cloudflare's CEO has threatened to pull the company out of Italy, and to withdraw free services it intends to provide to the Winter Olympic...
The new system will enable the police, the Defense Ministry and the Self-Defense Forces to work together in neutralizing critical attacks.
As part of the 2023-2030 Australian Cyber Security Strategy, the Australian Government commits to keeping Australians informed about the...
A team of researchers found that, by not encrypting the data broadcast by Tile tags, users could be vulnerable to having their location...
From 4 March 2026, the Cyber Security (Security Standards for Smart Device) Rules 2025 (the Rules) will commence, following a 12-month transition period.
Meta has released an open source AI tool called Automated Sensitive Document Classification. It was originally built for internal use and is designed to find...
ENISA is entrusted with developing and maintaining cybersecurity certification schemes. This task is provided for by the Cybersecurity Act (EU 881/2019).
Learn how the Illumio Virtual Advisor (IVA) and AI labeling can help you automate complex security tasks and get actionable insights in the...
A weakness has been identified in zilliztech deep-searcher up to 0.0.2. This affects the function CollectionRouter.invoke of the file deepsearcher/agent/collection_router.py. This manipulation of the argument kwargs causes improper access controls. Remote exploitation of the attack is possible. The exploit has been made available to the public and could be used for attacks. The pull request to fix this issue awaits acceptance.
A security flaw has been discovered in songquanpeng one-api up to 0.6.11-preview.7. Affected by this issue is the function Redeem of the file model/redemption.go of the component Redemption Code Top-Up Endpoint. The manipulation results in business logic errors. The attack may be launched remotely. The attack requires a high level of complexity. The exploitation is known to be difficult. The exploit has been released to the public and may be used for attacks. The pull request to fix this issue awaits acceptance.
A vulnerability was identified in JeecgBoot up to 3.9.2. Affected by this vulnerability is the function queryPageList of the file src\main\java\org\jeecg\modules\system\controller\SysUserController.java of the component User List Endpoint. The manipulation of the argument salt leads to information disclosure. The attack may be initiated remotely. The attack is considered to have high complexity. The exploitation appears to be difficult. The exploit is publicly available and might be used. A fix is planned for the upcoming release.
A vulnerability was determined in USCiLab Cereal up to 1.3.2. Affected is an unknown function of the component Shared Pointer Handler. Executing a manipulation can lead to type confusion. The attack can be launched remotely. The exploit has been publicly disclosed and may be utilized. The vendor was contacted early about this disclosure.
A vulnerability was found in Chengdu Everbrite Network Technology BeikeShop up to 1.6.0.22. This impacts the function callback of the file plugins/Stripe/Controllers/StripeController.php of the component Stripe Plugin. Performing a manipulation of the argument Request results in improper authorization. The attack can be initiated remotely. The exploit has been made public and could be used. The patch is named 6719e0fc690ea0a998452092862e0f0a17c65968. It is suggested to install a patch to address this issue.
curl -i -X GET 'https://api.rankiteo.com/underwriter-getcompany-history?
linkedin_id=axa' -H 'apikey: YOUR_API_KEY_HERE'
Every week, Rankiteo analyzes billions of signals to give organizations a sharper, faster view of emerging risks. With deeper, more actionable intelligence at their fingertips, security teams can outpace threat actors, respond instantly to Zero-Day attacks, and dramatically shrink their risk exposure window.
Rankiteo is a unified scoring and risk platform that analyzes billions of signals weekly to help organizations gain faster, more actionable insights into emerging threats. Empowering teams to outpace adversaries and reduce exposure.