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Threat Intelligence

Filtering the Threat Intelligence Tsunami

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Reversing Labs CEO Mario Vuksan contends that SOCs are overwhelmed by global threat intelligence, and can benefit more from a targeted "pull" model that focuses on YARA-type binary pattern matching. Click here to learn more about optimizing your Threat Intelligence Platform.

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New Cold Boot Attack Gives Hackers the Keys to PCs, Macs
Kelly Sheridan, Staff Editor, Dark Reading,  9/13/2018
Yahoo Class-Action Suits Set for Settlement
Dark Reading Staff 9/17/2018
RDP Ports Prove Hot Commodities on the Dark Web
Kelly Sheridan, Staff Editor, Dark Reading,  9/17/2018
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Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2018-3829
PUBLISHED: 2018-09-19
In Elastic Cloud Enterprise (ECE) versions prior to 1.1.4 it was discovered that a user could scale out allocators on new hosts with an invalid roles token. An attacker with access to the previous runner ID and IP address of the coordinator-host could add a allocator to an existing ECE install to ga...
CVE-2018-3830
PUBLISHED: 2018-09-19
Kibana versions 5.3.0 to 6.4.1 had a cross-site scripting (XSS) vulnerability via the source field formatter that could allow an attacker to obtain sensitive information from or perform destructive actions on behalf of other Kibana users.
CVE-2018-3831
PUBLISHED: 2018-09-19
Elasticsearch Alerting and Monitoring in versions before 6.4.1 or 5.6.12 have an information disclosure issue when secrets are configured via the API. The Elasticsearch _cluster/settings API, when queried, could leak sensitive configuration information such as passwords, tokens, or usernames. This c...
CVE-2018-3823
PUBLISHED: 2018-09-19
X-Pack Machine Learning versions before 6.2.4 and 5.6.9 had a cross-site scripting (XSS) vulnerability. Users with manage_ml permissions could create jobs containing malicious data as part of their configuration that could allow the attacker to obtain sensitive information from or perform destructiv...
CVE-2018-3824
PUBLISHED: 2018-09-19
X-Pack Machine Learning versions before 6.2.4 and 5.6.9 had a cross-site scripting (XSS) vulnerability. If an attacker is able to inject data into an index that has a ML job running against it, then when another user views the results of the ML job it could allow the attacker to obtain sensitive inf...