A vulnerability has been identified in PP TeleControl Server Basic 1000 to 5000 V3.1 (6NH9910-0AA31-0AE1) (All versions < V3.1.2.1 with redundancy configured), PP TeleControl Server Basic 256 to 1000 V3.1 (6NH9910-0AA31-0AD1) (All versions < V3.1.2.1 with redundancy configured), PP TeleControl Server Basic 32 to 64 V3.1 (6NH9910-0AA31-0AF1) (All versions < V3.1.2.1 with redundancy configured), PP TeleControl Server Basic 64 to 256 V3.1 (6NH9910-0AA31-0AC1) (All versions < V3.1.2.1 with redundancy configured), PP TeleControl Server Basic 8 to 32 V3.1 (6NH9910-0AA31-0AB1) (All versions < V3.1.2.1 with redundancy configured), TeleControl Server Basic 1000 V3.1 (6NH9910-0AA31-0AD0) (All versions < V3.1.2.1 with redundancy configured), TeleControl Server Basic 256 V3.1 (6NH9910-0AA31-0AC0) (All versions < V3.1.2.1 with redundancy configured), TeleControl Server Basic 32 V3.1 (6NH9910-0AA31-0AF0) (All versions < V3.1.2.1 with redundancy configured), TeleControl Server Basic 5000 V3.1 (6NH9910-0AA31-0AE0) (All versions < V3.1.2.1 with redundancy configured), TeleControl Server Basic 64 V3.1 (6NH9910-0AA31-0AB0) (All versions < V3.1.2.1 with redundancy configured), TeleControl Server Basic 8 V3.1 (6NH9910-0AA31-0AA0) (All versions < V3.1.2.1 with redundancy configured), TeleControl Server Basic Serv Upgr (6NH9910-0AA31-0GA1) (All versions < V3.1.2.1 with redundancy configured), TeleControl Server Basic Upgr V3.1 (6NH9910-0AA31-0GA0) (All versions < V3.1.2.1 with redundancy configured). The affected system allows remote users to send maliciously crafted objects. Due to insecure deserialization of user-supplied content by the affected software, an unauthenticated attacker could exploit this vulnerability by sending a maliciously crafted serialized object. This could allow the attacker to execute arbitrary code on the device with SYSTEM privileges.

Elastic Malware Benchmark for Empowering Researchers


The EMBER dataset is a collection of features from PE files that serve as a benchmark dataset for researchers. The EMBER2017 dataset contained features from 1.1 million PE files scanned in or before 2017 and the EMBER2018 dataset contains features from 1 million PE files scanned in or before 2018. This repository makes it easy to reproducibly train the benchmark models, extend the provided feature set, or classify new PE files with the benchmark models.

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