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https://github.com/vuldb/cyber_threat_intelligence
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31 lines
1.9 KiB
Markdown
31 lines
1.9 KiB
Markdown
# Prepscram - Cyber Threat Intelligence
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These _indicators_ were reported, collected, and generated during the [VulDB CTI analysis](https://vuldb.com/?kb.cti) of the actor known as [Prepscram](https://vuldb.com/?actor.prepscram). The _activity monitoring_ correlates data from social media, forums, chat rooms, and darknet markets. It helps to determine associated actors, specific activities, expected intentions, emerging research, and ongoing attacks. Our unique _predictive model_ uses _big data_ to forecast activities and their characteristics.
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_Live data_ and more _analysis capabilities_ are available at [https://vuldb.com/?actor.prepscram](https://vuldb.com/?actor.prepscram)
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## IOC - Indicator of Compromise
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These _indicators of compromise_ (IOC) indicate associated network resources which are known to be part of research and attack activities of Prepscram.
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ID | IP address | Hostname | Campaign | Confidence
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-- | ---------- | -------- | -------- | ----------
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1 | [52.85.146.150](https://vuldb.com/?ip.52.85.146.150) | server-52-85-146-150.iad89.r.cloudfront.net | - | High
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## References
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The following list contains _external sources_ which discuss the actor and the associated activities:
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* https://blog.talosintelligence.com/2018/06/threat-roundup-0601-0615.html
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## Literature
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The following _articles_ explain our unique predictive cyber threat intelligence:
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* [VulDB Cyber Threat Intelligence Documentation](https://vuldb.com/?kb.cti)
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* [Cyber Threat Intelligence - Early Anticipation of Attacks](https://www.scip.ch/en/?labs.20201022)
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## License
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(c) [1997-2023](https://vuldb.com/?kb.changelog) by [vuldb.com](https://vuldb.com/?kb.about). All data on this page is shared under the license [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/). Questions? Check the [FAQ](https://vuldb.com/?kb.faq), read the [documentation](https://vuldb.com/?kb) or [contact us](https://vuldb.com/?contact)!
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