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Attackers Are Hunting High-Impact Node.js Maintainers in a Coordinated Social Engineering Campaign
Multiple high-impact npm maintainers confirm they have been targeted in the same social engineering campaign that compromised Axios.
datamanwithvan
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A distributed, parallel datareplication engine that caters to various source/target system combinations and complex corporate environments.
This is a simple Python package.
A classic problem in every data replication activity is to make the software detect changes in the source datasets and drive replication activities when a change is detected.
For that purpose we have constructed a separate daemon process that polls continuously the data sources, based on its knowledge for the replication rules and jobs. In the case of CDH/CDP it was literally a multithreaded daemon that was combing over HDFS.
In the case of a local filesystem, we could leverage
Due to the nature of the data change detection mechanism, we wanted to split the data replication rules into "priority queues". More important data or data that we know change more rapidly, are grouped into higher priority queues, pretty much like (speedy boarding in low-cost airlines!). Less critical data are grouped in lower priority queues, and they're scanned for changes less frequently.
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A distributed, parallel datareplication engine that caters to various source/target system combinations and complex corporate environments.
We found that datamanwithvan demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Multiple high-impact npm maintainers confirm they have been targeted in the same social engineering campaign that compromised Axios.

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Axios compromise traced to social engineering, showing how attacks on maintainers can bypass controls and expose the broader software supply chain.

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