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Home/Threats/Malicious npm Package Hides Malware in Runtime Code
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Malicious npm Package Hides Malware in Runtime Code

Key Takeaways A malicious npm package, indexed-btree, mimicked a legitimate library, accumulating nearly two million weekly downloads. The malware employs a stealthy runtime execution method,...

Jennifer sherman
Jennifer sherman
September 21, 2026 5 Min Read
2 0

Key Takeaways

  • A malicious npm package, indexed-btree, mimicked a legitimate library, accumulating nearly two million weekly downloads.
  • The malware employs a stealthy runtime execution method, activating only when the package is utilized in an application, circumventing typical installation-time security checks.
  • It performs host profiling, data exfiltration, and leverages an Ethereum Sepolia smart contract for resilient command-and-control operations.
  • Security researchers at Checkmarx uncovered this campaign, highlighting critical gaps in software supply chain defenses that rely solely on installation script analysis.
  • Organizations must review their dependencies, rotate exposed credentials, and implement enhanced runtime monitoring for suspicious package behavior.

A sophisticated malicious npm package, designed to appear as a standard data-indexing utility, has exposed a significant vulnerability in current software supply-chain security practices. The package, named indexed-btree, successfully impersonated the well-known sorted-btree library, achieving almost two million weekly downloads before its discovery.

Table Of Content

  • Key Takeaways
  • Malicious npm Package With 2 Million Downloads
  • Supply-Chain Defenses Need Runtime Checks
  • Indicators of Compromise (IoCs)

What makes this campaign particularly insidious is its method of operation: the malware does not execute during the installation phase. Instead, it lies dormant within the application’s runtime code, activating only when the imported library is called upon. This tactic transforms a seemingly benign dependency into a vector for system reconnaissance, data theft, and the delivery of subsequent payloads, as identified by researchers at Checkmarx.

Checkmarx said in a report that this operation underscores why security checks narrowly focused on install scripts are insufficient to detect threats that execute later in the software lifecycle. The extensive reach of this package poses considerable risk to organizations whose development pipelines, testing environments, or production systems may have integrated this malicious dependency.

Adding to its deceptive nature, the attackers meticulously crafted a credible GitHub repository and account history for indexed-btree, further enhancing its legitimacy and enabling it to blend seamlessly into routine development workflows.

Malicious npm Package With 2 Million Downloads

The indexed-btree package conspicuously lacks any preinstall or postinstall commands in its configuration. This absence is a key element of its evasion strategy, as it prevents the malicious routine from being triggered during installation and can make the package appear harmless during superficial security reviews.

The malware’s loader is cunningly embedded within BTree.prototype.set, a fundamental method likely to be invoked when an application handles data storage. Once specific conditions are met, this code initiates an obfuscated first-stage component. This design allows the threat to execute during normal program activity, bypassing the more heavily scrutinized installation stage.

This approach fundamentally shifts the focus of defensive strategies from merely scrutinizing installer scripts to understanding a package’s behavior post-import and during active use. Previous incidents involving the abuse of trusted developer channels for delivering malicious packages demonstrate a continuous evolution in attacker tactics.

The initial stage of the malware is dedicated to gathering system intelligence, including the operating system’s architecture, hostname, processor details, memory information, and system uptime. This collected data is then transmitted to attacker-controlled endpoints. Unconventionally, instead of a traditional command-and-control (C2) server, the malware consults a smart contract on the Ethereum Sepolia test network.

This blockchain-based C2 infrastructure offers enhanced resilience against disruption. Should an attacker’s primary C2 address be blocked, the smart contract can dynamically provide a new address for the malware to connect to. The research further details how the code then utilizes a cryptographic key exchange to derive a decryption key, combining encrypted data from the smart contract to assemble and deploy a second-stage payload.

Notably, the package also incorporates functions designed to remove its malicious files and erase the trigger from the prototype method. This cleanup mechanism could effectively obscure forensic evidence after the library’s initial use within an application.

Supply-Chain Defenses Need Runtime Checks

This incident vividly demonstrates a critical vulnerability in security paradigms that equate the absence of lifecycle scripts with a package’s benign nature. Such an approach fails to detect malicious behavior directly integrated into a package’s core JavaScript functions.

Organizations must proactively identify whether any affected package names or versions are present across their entire development and deployment ecosystem, including source trees, lockfiles, build images, developer workstations, and continuous integration (CI) systems. Remediation efforts should involve the immediate removal of these packages, the rotation of any potentially exposed secrets, and a thorough inspection of logs for the Indicators of Compromise (IoCs) provided below. Dependency review processes should be expanded to include scrutiny of package ownership, release history, repository consistency, and the integrity of code distributed via the registry.

Legit-looking commits (Source – Checkmarx)

Recent reports of npm package compromises further underscore how trusted dependencies can become direct conduits for attacks on developer and CI environments. To achieve more robust security, organizations should execute suspicious packages within isolated sandboxes. Monitoring child processes, filesystem modifications, network communications, and behavior upon invocation of common methods can expose malicious runtime paths that static analysis might miss.

Developers are advised to pin reviewed dependency versions, maintain accurate Software Bills of Materials (SBOMs), and enforce strict approval processes for new or unexpectedly altered packages. The recurring pattern of backdoored npm packages and configuration abuse emphasizes the dual necessity of monitoring both installation and execution phases.

For incident responders, the immediate priority is to ascertain whether the malicious library was merely downloaded or actively used in a running process. Runtime evidence, process records, and network telemetry will provide the most definitive answers while this campaign remains a live threat.

Indicators of Compromise (IoCs):

Type Indicator Description
Malicious npm package indexed-btree Primary malicious package impersonating sorted-btree
Malicious npm package ordered-kv-index Subsequently removed related package
Malicious npm package btree-leaderboard Subsequently removed related package
Malicious npm package priority-slot-queue Subsequently removed related package
Malicious npm package btree-range-store Subsequently removed related package
Malicious npm package btree-core Subsequently removed related package
Malicious npm package btree-time-index Subsequently removed related package
Malicious npm package btree-lru-cache Subsequently removed related package
Malicious npm package neighbor-key-map Subsequently removed related package
Malicious npm package sliding-score-window Subsequently removed related package
Related npm package mutex-forge Earlier package associated with the same smart contract
File name sharedLoad.min.js Obfuscated first-stage malware component
GitHub repository https://github.com/INDEXED-BTREE/indexed-btree/commits/main/ Repository used to make the package appear legitimate
Ethereum Sepolia contract 0xE390863Dac96a7118C71227C2b099B50cF602D31 Smart contract used as a command-and-control channel
RPC endpoint https://eth-sepolia.g.alchemy.com/v2/D2-TbkB2m05WXSnSDOCDI Ethereum Sepolia RPC endpoint
RPC endpoint https://sepolia.infura.io/v3/dc7257d09fab42eca2c354c32fec1938 Ethereum Sepolia RPC endpoint
Telegram bot token 8961878831:AAG4WTbRUcbXI5UCaN4VXK8k57ghqqkg_qI Telegram data-exfiltration bot token
Telegram chat ID -1003952553968 Telegram data-exfiltration destination
Slack bot token xoxb-11307403103236-11289767127959-U58yt3zLurAvVoZOf0OBtxCW Slack data-exfiltration bot token
Slack channel ID C0B8XPGCKQS Slack data-exfiltration destination
X25519 public key bad013df6eec5d686f4cc8551e0a5c87a0135164bdd1dafb1c75141d1b526702 Hardcoded SPKI/DER public key in hexadecimal format

Note: IP addresses and domains are intentionally defanged (e.g., [.]) to prevent accidental resolution or hyperlinking. Re-fang only within

Disclaimer: HackersRadar reports on cybersecurity threats and incidents for informational and awareness purposes only. We do not engage in hacking activities, data exfiltration, or the hosting or distribution of stolen or leaked information. All content is based on publicly available sources.

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Jennifer sherman

Jennifer sherman

Jennifer is a cybersecurity news reporter covering data breaches, ransomware campaigns, and dark web markets. With a background in incident response, Jennifer provides unique insights into how organizations respond to cyber attacks and the evolving tactics of threat actors. Her reporting has covered major breaches affecting millions of users and has helped organizations understand emerging threats. Jennifer combines technical knowledge with investigative journalism to deliver in-depth coverage of cybersecurity incidents.

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