Elastic report: Almost 33% of cyberattacks within the cloud leverage credential entry | Shock Tech



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The 2022 Elastic International Risk Report discovered that just about 33% of cloud assaults leverage credential entry, indicating that customers typically overestimate the safety of their cloud environments and consequently fail to fail to configure or safe them correctly.

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The report’s key findings deal with three principal tendencies: the function of human error in growing cloud safety dangers, industrial software program getting used maliciously, and endpoint assaults changing into extra various as a consequence of to the excessive effectivity of most endpoint safety software program.

And whereas industrial adversary simulation software program comparable to CobaltStrike is beneficial for a lot of groups in defending their environments, it’s also used as a malicious device for mass malware implantation.

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Different findings from the Elastic report embody:

Picture supply: Elastic.
  • 54% of all malware infections occurred on Home windows endpoints, whereas 39% occurred on Linux endpoints.
  • The most important Linux-based malware/payload contributor was Meterpreter at 14%, adopted by Gafgyt at 12% and Mirai at 10%.
  • CobaltStrike was the preferred malicious binary or payload for Home windows endpoints with 35% of all detections, adopted by AgentTesla with 25% and RedLineStealer with 10%.

Lastly, greater than 50 endpoint infiltration methods are utilized by menace actors, suggesting that endpoint safety is performing effectively, as its sophistication requires menace actors to repeatedly discover new or novel assault strategies. to have success.

Methodology

The report was produced by Elastic Safety Labs, the corporate’s menace detection, malware evaluation, and analysis engineering group, and compiled utilizing telemetry from worldwide Elastic Safety deployments from August 2021 to August 2022.

Learn the complete Elastic report.

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Elastic report: Nearly 33% of cyberattacks in the cloud leverage credential access

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