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Havex malware, also known as Backdoor.Oldrea, is a Remote Access Trojan (RAT) employed by the Russian attributed APT group "Energetic Bear" or "Dragonfly". Havex was discovered in 2013 and is one of five known ICS tailored malware developed in the past decade. These malwares include Stuxnet, BlackEnergy, Industroyer/CRASHOVERRIDE, and TRITON/TRISIS.…
The analysis highlights Description, Discovery and Exploit Kits as prominent areas in the source structure around Havex.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Havex shows recurring relationship patterns in the source. For example, Havex → By, DCOM-based, Distributed Component Object Model, Dragonfly, Havex RAT, ICS, ICS/SCADA, In, Karagany, Known, MB Connect Line, MESA Imaging, OPC, OPC Unified Architecture, Open Platform Communications, PHP, RAT, Researchers, Rockwell Automation, SANS Another extracted example is Havex → Corrupted, Hello, Java, Karagany, LightsOut, Once, OS, The, The Hello, The LightsOut, URL. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
malware campaign ics exploit opc researchers websites rat victims energetic bear systems also known used backdoor information industrial devices victim
TTTA extracted 70 structured relationships around Havex. Examples in this analysis include Havex → Alias → Oldrea and Havex → Author → Energetic Bear. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Havex | Alias | Oldrea | 1.00 | infobox |
| Havex | Author | Energetic Bear | 1.00 | infobox |
| Havex | Platforms | Windows, Linux, iOS, Android | 1.00 | infobox |
| Havex | Ports used | 44818, 105 and 502 | 1.00 | infobox |
| Havex | Technical name | BKDR_HAVEX.[letter] (Trend Micro) | 1.00 | infobox |
| Havex | Technical name | Backdoor:Win32/Havex.[letter] Microsoft | 1.00 | infobox |
| Havex | Technical name | Backdoor:W32/Havex (F-Secure) | 1.00 | infobox |
| Havex | Type | RAT | 1.00 | infobox |
| Havex | Written in | PHP | 1.00 | infobox |
| Siemens | instance of | Researchers at SANS noted these ports are common to ICS/SCADA companies | 0.80 | text |
| Rockwell Automation | instance of | Researchers at SANS noted these ports are common to ICS/SCADA companies | 0.80 | text |
| Havex | related to Affected Regions & Victims | The Dragonfly | 0.60 | section |
The concept neighborhoods around Havex bring nearby vocabulary together. In this analysis, examples include Malware, Systems and Websites. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Havex, one of the stronger structural bridges in this analysis connects Havex with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Havex to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Description, Discovery & Exploit Kits, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Havex · EN edition · Analysis: TopicsToTalkAbout