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Uncovering a Web3 Interview Scam

Medium
Published: Wed Aug 13 2025 (08/13/2025, 11:57:16 UTC)
Source: AlienVault OTX General

Description

A Ukrainian Web3 team's interview process involved cloning a GitHub repository containing malicious components. Analysis revealed the project replaced a legitimate dependency with a malicious NPM package, rtk-logger@1.11.5. This package collected sensitive data, including cryptocurrency wallet information, from popular browsers and uploaded it to an attacker-controlled server. The malware also implemented keylogging, screen capture, and clipboard monitoring. Two other GitHub accounts were found using a similar malicious package. The scam aimed to trick interviewees into executing malicious code, potentially leading to data leaks and asset theft. Developers are advised to exercise caution when handling unknown GitHub projects and to use isolated environments for execution.

AI-Powered Analysis

AILast updated: 08/13/2025, 16:05:39 UTC

Technical Analysis

This threat involves a sophisticated malware campaign disguised as part of a Web3 development team's interview process. The attackers created a cloned GitHub repository that appeared legitimate but contained a malicious replacement for a common dependency. Specifically, the legitimate NPM package was replaced with a malicious version of "rtk-logger@1.11.5." This malicious package is designed to exfiltrate sensitive data from victims, focusing on cryptocurrency wallet information stored or accessible via popular web browsers. The malware employs multiple advanced techniques including keylogging, screen capture, and clipboard monitoring to harvest credentials, private keys, and other sensitive information. The stolen data is then uploaded to attacker-controlled servers via HTTP endpoints, as indicated by several URLs linked to the malware's command and control infrastructure. The campaign also involved at least two other GitHub accounts distributing similar malicious packages, indicating a broader coordinated effort. The attack vector relies on social engineering, specifically targeting developers during the interview process to trick them into cloning and executing malicious code in their development environments. This approach exploits the trust and eagerness of candidates to engage with codebases during technical interviews. The malware leverages multiple MITRE ATT&CK techniques such as credential access (T1113), input capture (T1056.001), data staging (T1074), and command and control (T1071.004), among others, highlighting its complexity and multi-stage operation. Although no known exploits in the wild have been reported yet, the potential for significant data theft and asset loss is high, especially given the focus on cryptocurrency wallets. Developers and organizations involved in Web3 and blockchain development are particularly at risk, as they are more likely to encounter such repositories and dependencies. The threat underscores the importance of verifying third-party code, especially in high-trust scenarios like interviews, and using isolated environments to prevent malware from accessing sensitive data or system resources.

Potential Impact

For European organizations, especially those involved in blockchain, cryptocurrency, and Web3 development, this threat poses a significant risk to the confidentiality and integrity of sensitive data. The theft of cryptocurrency wallet information can lead to direct financial losses, which are often irreversible. Additionally, the malware's capabilities for keylogging, screen capture, and clipboard monitoring can expose a wide range of confidential information beyond wallets, including private keys, passwords, and proprietary code. This could lead to broader intellectual property theft and compromise of internal systems. The social engineering aspect targeting developers during interviews may also damage organizational reputation and trust, potentially affecting recruitment and operational security. Given the increasing adoption of Web3 technologies in Europe, the threat could impact startups, established tech firms, and financial institutions integrating blockchain solutions. The malware's ability to operate stealthily and exfiltrate data to attacker-controlled servers increases the risk of prolonged undetected breaches, complicating incident response and remediation efforts.

Mitigation Recommendations

1. Implement strict policies for handling third-party code, especially in recruitment and interview processes. Avoid cloning or executing unverified repositories on production or personal machines. 2. Use isolated, sandboxed environments or virtual machines for testing unknown code to contain potential malicious activity. 3. Employ software composition analysis (SCA) tools to detect malicious or tampered dependencies in codebases, focusing on NPM packages and other package managers. 4. Monitor network traffic for unusual outbound connections, particularly to known malicious IPs or domains associated with this threat. 5. Educate developers and HR teams about social engineering tactics used in technical interviews, emphasizing caution with code execution. 6. Enforce multi-factor authentication and hardware wallets for cryptocurrency management to reduce the impact of credential theft. 7. Regularly audit and update dependency lists to remove or replace suspicious or deprecated packages. 8. Leverage endpoint detection and response (EDR) solutions capable of detecting keylogging, screen capture, and clipboard monitoring behaviors. 9. Collaborate with threat intelligence providers to stay updated on emerging malicious packages and indicators of compromise related to Web3 development environments.

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Technical Details

Author
AlienVault
Tlp
white
References
["https://slowmist.medium.com/threat-intelligence-uncovering-a-web3-interview-scam-bb366694b7f3"]
Adversary
null
Pulse Id
689c7d9c70e5cba54257d1a9
Threat Score
null

Indicators of Compromise

Hash

ValueDescriptionCopy
hashaf46c7917f04a9039eb0b439a7615ec07b7ad88048cb24fe23c454c16dffcd57

Url

ValueDescriptionCopy
urlhttp://144.172.112.106:1224/client/5346/64
urlhttp://172.86.64.67/api/service/makelog
urlhttp://172.86.64.67/api/service/process/
urlhttps://api.npoint.io/96979650f5739bcbaebb

Threat ID: 689cb3a4ad5a09ad00459d19

Added to database: 8/13/2025, 3:47:48 PM

Last enriched: 8/13/2025, 4:05:39 PM

Last updated: 8/14/2025, 8:31:35 AM

Views: 5

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