Codacy Coverage offers a streamlined solution for integrating code coverage reporting into Codacy.com from your JavaScript projects. Version 2.0.3 brings subtle improvements over the prior stable release, version 2.0.2, impacting development workflows. Core dependencies remain consistent, ensuring continuity for existing users, with libraries like Bluebird for promises, Commander for CLI argument parsing, Joi for schema validation, and Lodash for utility functions present in both versions.
The most notable change lies in the development dependencies. Version 2.0.3 removes "buddy.js," a JavaScript code analysis tool, and introduces "chai-as-promised" as a new development dependency. "chai-as-promised" extends Chai.js, a popular assertion library, providing improved readability and expressiveness when testing asynchronous code – likely indicating a shift towards more robust asynchronous testing within the Codacy Coverage development cycle. The removal of "buddy.js" might suggest a change in linting or code quality analysis strategies.
For developers integrating Codacy Coverage, this upgrade implies enhanced asynchronous testing capabilities, potentially simplifying test suite validation for projects reliant on asynchronous operations. Existing users should verify compatibility due to the removed dependency. New adopters will benefit from improved assertion clarity, leading to more maintainable and understandable test suites. The core functionality of the tool remains consistent, focusing on seamless integration with Codacy.com for comprehensive code coverage analysis. The upgrade from 2.0.2 to 2.0.3 introduces an improved test-oriented approach with better support asynchronous code.
All the vulnerabilities related to the version 2.0.3 of the package
Prototype Pollution in hoek
Versions of hoek
prior to 4.2.1 and 5.0.3 are vulnerable to prototype pollution.
The merge
function, and the applyToDefaults
and applyToDefaultsWithShallow
functions which leverage merge
behind the scenes, are vulnerable to a prototype pollution attack when provided an unvalidated payload created from a JSON string containing the __proto__
property.
This can be demonstrated like so:
var Hoek = require('hoek');
var malicious_payload = '{"__proto__":{"oops":"It works !"}}';
var a = {};
console.log("Before : " + a.oops);
Hoek.merge({}, JSON.parse(malicious_payload));
console.log("After : " + a.oops);
This type of attack can be used to overwrite existing properties causing a potential denial of service.
Update to version 4.2.1, 5.0.3 or later.
hoek subject to prototype pollution via the clone function.
hoek versions prior to 8.5.1, and 9.x prior to 9.0.3 are vulnerable to prototype pollution in the clone function. If an object with the proto key is passed to clone() the key is converted to a prototype. This issue has been patched in version 9.0.3, and backported to 8.5.1.
Server-Side Request Forgery in Request
The request
package through 2.88.2 for Node.js and the @cypress/request
package prior to 3.0.0 allow a bypass of SSRF mitigations via an attacker-controller server that does a cross-protocol redirect (HTTP to HTTPS, or HTTPS to HTTP).
NOTE: The request
package is no longer supported by the maintainer.
form-data uses unsafe random function in form-data for choosing boundary
form-data uses Math.random()
to select a boundary value for multipart form-encoded data. This can lead to a security issue if an attacker:
Because the values of Math.random() are pseudo-random and predictable (see: https://blog.securityevaluators.com/hacking-the-javascript-lottery-80cc437e3b7f), an attacker who can observe a few sequential values can determine the state of the PRNG and predict future values, includes those used to generate form-data's boundary value. The allows the attacker to craft a value that contains a boundary value, allowing them to inject additional parameters into the request.
This is largely the same vulnerability as was recently found in undici
by parrot409
-- I'm not affiliated with that researcher but want to give credit where credit is due! My PoC is largely based on their work.
The culprit is this line here: https://github.com/form-data/form-data/blob/426ba9ac440f95d1998dac9a5cd8d738043b048f/lib/form_data.js#L347
An attacker who is able to predict the output of Math.random() can predict this boundary value, and craft a payload that contains the boundary value, followed by another, fully attacker-controlled field. This is roughly equivalent to any sort of improper escaping vulnerability, with the caveat that the attacker must find a way to observe other Math.random() values generated by the application to solve for the state of the PRNG. However, Math.random() is used in all sorts of places that might be visible to an attacker (including by form-data itself, if the attacker can arrange for the vulnerable application to make a request to an attacker-controlled server using form-data, such as a user-controlled webhook -- the attacker could observe the boundary values from those requests to observe the Math.random() outputs). A common example would be a x-request-id
header added by the server. These sorts of headers are often used for distributed tracing, to correlate errors across the frontend and backend. Math.random()
is a fine place to get these sorts of IDs (in fact, opentelemetry uses Math.random for this purpose)
PoC here: https://github.com/benweissmann/CVE-2025-7783-poc
Instructions are in that repo. It's based on the PoC from https://hackerone.com/reports/2913312 but simplified somewhat; the vulnerable application has a more direct side-channel from which to observe Math.random() values (a separate endpoint that happens to include a randomly-generated request ID).
For an application to be vulnerable, it must:
form-data
to send data including user-controlled data to some other system. The attacker must be able to do something malicious by adding extra parameters (that were not intended to be user-controlled) to this request. Depending on the target system's handling of repeated parameters, the attacker might be able to overwrite values in addition to appending values (some multipart form handlers deal with repeats by overwriting values instead of representing them as an array)If an application is vulnerable, this allows an attacker to make arbitrary requests to internal systems.
tough-cookie Prototype Pollution vulnerability
Versions of the package tough-cookie before 4.1.3 are vulnerable to Prototype Pollution due to improper handling of Cookies when using CookieJar in rejectPublicSuffixes=false
mode. This issue arises from the manner in which the objects are initialized.