Codacy Coverage offers a convenient way to integrate code coverage reporting into your Codacy projects. Version 2.0.0, released in August 2016, builds upon the foundation of its predecessor, version 1.1.3, which was released a year prior. Both versions share core dependencies like Bluebird for promises, Commander for command-line interface handling, Joi for schema validation, lcov-parse for parsing LCOV data, Log-Driver for logging, and Request-Promise for making HTTP requests. This ensures a consistent experience for users already familiar with the package.
The key difference lies in the development dependencies. Version 2.0.0 sees an update in the nsp (Node Security Platform) dependency from ^1.x to ^2.0.x, potentially addressing security vulnerabilities and leveraging newer security checks for the project. Furthermore, the versioning of buddy.js and istanbul are updated to ~0.x from ^0.x in the older version, that can include breaking changes. These updates showcase the project's commitment to staying current with security best practices and development tools.
For developers using Codacy Coverage, these changes mean an improved security posture and potentially enhanced static analysis capabilities during development. If you're upgrading from 1.1.3, be aware of potential changes to your development workflow due to the updated buddy.js, istanbul and nsp versions. Overall, the 2.0.0 release strengthens the library's reliability and offers developers a more secure and robust tool for code coverage reporting on Codacy.
All the vulnerabilities related to the version 2.0.0 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.
Prototype Pollution in lodash
Versions of lodash
before 4.17.12 are vulnerable to Prototype Pollution. The function defaultsDeep
allows a malicious user to modify the prototype of Object
via {constructor: {prototype: {...}}}
causing the addition or modification of an existing property that will exist on all objects.
Update to version 4.17.12 or later.
Prototype Pollution in lodash
Versions of lodash
before 4.17.5 are vulnerable to prototype pollution.
The vulnerable functions are 'defaultsDeep', 'merge', and 'mergeWith' which allow a malicious user to modify the prototype of Object
via __proto__
causing the addition or modification of an existing property that will exist on all objects.
Update to version 4.17.5 or later.
Prototype Pollution in lodash
Versions of lodash
before 4.17.11 are vulnerable to prototype pollution.
The vulnerable functions are 'defaultsDeep', 'merge', and 'mergeWith' which allow a malicious user to modify the prototype of Object
via {constructor: {prototype: {...}}}
causing the addition or modification of an existing property that will exist on all objects.
Update to version 4.17.11 or later.
Prototype Pollution in lodash
Versions of lodash prior to 4.17.19 are vulnerable to Prototype Pollution. The functions pick
, set
, setWith
, update
, updateWith
, and zipObjectDeep
allow a malicious user to modify the prototype of Object if the property identifiers are user-supplied. Being affected by this issue requires manipulating objects based on user-provided property values or arrays.
This vulnerability causes the addition or modification of an existing property that will exist on all objects and may lead to Denial of Service or Code Execution under specific circumstances.
Command Injection in lodash
lodash
versions prior to 4.17.21 are vulnerable to Command Injection via the template function.
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.