# Layover - Cyber Threat Intelligence

These _indicators_ were reported, collected, and generated during the [VulDB CTI analysis](https://vuldb.com/?kb.cti) of the campaign known as _Layover_. 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.

_Live data_ and more _analysis capabilities_ are available at [https://vuldb.com/?actor](https://vuldb.com/?actor)

## Actors

These _actors_ are associated with Layover or other actors linked to the campaign.

ID | Actor | Confidence
-- | ----- | ----------
1 | [Nigeria Unknown](https://vuldb.com/?actor.nigeria_unknown) | High
2 | [TA2541](https://vuldb.com/?actor.ta2541) | High

## IOC - Indicator of Compromise

These _indicators of compromise_ (IOC) indicate associated network resources which are known to be part of research and attack activities of Layover.

ID | IP address | Hostname | Actor | Confidence
-- | ---------- | -------- | ----- | ----------
1 | [185.244.26.231](https://vuldb.com/?ip.185.244.26.231) | - | [TA2541](https://vuldb.com/?actor.ta2541) | High

## References

The following list contains _external sources_ which discuss the campaign and the associated activities:

* https://blog.talosintelligence.com/2021/09/operation-layover-how-we-tracked-attack.html

## Literature

The following _articles_ explain our unique predictive cyber threat intelligence:

* [VulDB Cyber Threat Intelligence Documentation](https://vuldb.com/?kb.cti)
* [Cyber Threat Intelligence - Early Anticipation of Attacks](https://www.scip.ch/en/?labs.20201022)

## License

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