Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2021-31476PUBLISHED: 2021-06-16
This vulnerability allows remote attackers to execute arbitrary code on affected installations of Foxit PhantomPDF 10.1.3.37598. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the han...
CVE-2021-31477PUBLISHED: 2021-06-16
This vulnerability allows remote attackers to execute arbitrary code on affected installations of GE Reason RPV311 14A03. Authentication is not required to exploit this vulnerability. The specific flaw exists within the firmware and filesystem of the device. The firmware and filesystem contain hard-...
CVE-2021-32690PUBLISHED: 2021-06-16
Helm is a tool for managing Charts (packages of pre-configured Kubernetes resources). In versions of helm prior to 3.6.1, a vulnerability exists where the username and password credentials associated with a Helm repository could be passed on to another domain referenced by that Helm repository. This...
CVE-2021-32691PUBLISHED: 2021-06-16
Apollos Apps is an open source platform for launching church-related apps. In Apollos Apps versions prior to 2.20.0, new user registrations are able to access anyone's account by only knowing their basic profile information (name, birthday, gender, etc). This includes all app functionality within th...
CVE-2021-32243PUBLISHED: 2021-06-16FOGProject v1.5.9 is affected by a File Upload RCE (Authenticated).
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User Rank: Apprentice
1/12/2018 | 4:37:14 PM
There are great places where ML is perfect for cybersecurity, but only as a part of the solution. The heart of our Constellation Analytics Platform is a Bayesian Inference Network built over years of research to reason like a team of cyber experts across weak inputs from disparate sensor systems. Some of those sensors need ML techniques to find the real signal, some don't - but they all come together in a BayesNet that prioritizes the threat and ultimately the risk.
We believe this is the only viable approach today given what you highlighted of lack of training data, and even if you had some training data, sensor outputs change frequently as the environment changes. Only with additional context can you uncover those malicious events that represent the highest risks.