All versions of package record-like-deep-assign are vulnerable to Prototype Pollution via the main functionality.

All versions of package config-handler are vulnerable to Prototype Pollution when loading config files.

The package object-path-set before 1.0.2 are vulnerable to Prototype Pollution via the setPath method, as it allows an attacker to merge object prototypes into it. *Note:* This vulnerability derives from an incomplete fix in https://security.snyk.io/vuln/SNYK-JS-OBJECTPATHSET-607908

All versions of package sey are vulnerable to Prototype Pollution via the deepmerge() function.

The package object-extend from 0.0.0 are vulnerable to Prototype Pollution via object-extend.

The package handlebars before 4.7.7 are vulnerable to Prototype Pollution when selecting certain compiling options to compile templates coming from an untrusted source.

Parse Server is an open source backend that can be deployed to any infrastructure that can run Node.js. Versions prior to 4.10.18, and prior to 5.3.1 on the 5.X branch, are vulnerable to Remote Code Execution via prototype pollution. An attacker can use this prototype pollution sink to trigger a remote code execution through the MongoDB BSON parser. This issue is patched in version 5.3.1 and in 4.10.18. There are no known workarounds.

Prototype pollution vulnerability in beautify-web js-beautify 1.13.7 via the name variable in options.js.

Prototype pollution vulnerability in stealjs steal 2.2.4 via the optionName variable in main.js.

Prototype pollution vulnerability in function convertLater in npm-convert.js in stealjs steal 2.2.4 via the requestedVersion variable in npm-convert.js.

Prototype pollution vulnerability in function parseQuery in parseQuery.js in webpack loader-utils via the name variable in parseQuery.js. This affects all versions prior to 1.4.1 and 2.0.3.

Prototype pollution vulnerability in tschaub gh-pages 3.1.0 via the partial variable in util.js.

Prototype pollution vulnerability in function convertLater in npm-convert.js in stealjs steal 2.2.4 via the packageName variable in npm-convert.js.

Improperly Controlled Modification of Object Prototype Attributes ('Prototype Pollution') vulnerability in Rajesh Thanoch Quick Learn allows Object Injection.This issue affects Quick Learn: from n/a through 1.0.1.

Prototype pollution vulnerability in 'js-extend' versions 0.0.1 through 1.0.1 allows attacker to cause a denial of service and may lead to remote code execution.

Prototype pollution vulnerability in 'safe-flat' versions 2.0.0 through 2.0.1 allows an attacker to cause a denial of service and may lead to remote code execution.

This affects all versions of package mout. The deepFillIn function can be used to 'fill missing properties recursively', while the deepMixIn 'mixes objects into the target object, recursively mixing existing child objects as well'. In both cases, the key used to access the target object recursively is not checked, leading to a Prototype Pollution.

This affects the package ini before 1.3.6. If an attacker submits a malicious INI file to an application that parses it with ini.parse, they will pollute the prototype on the application. This can be exploited further depending on the context.

This affects the package express-fileupload before 1.1.8. If the parseNested option is enabled, sending a corrupt HTTP request can lead to denial of service or arbitrary code execution.

All versions of package arr-flatten-unflatten are vulnerable to Prototype Pollution via the constructor.

The package irrelon-path before 4.7.0; the package @irrelon/path before 4.7.0 are vulnerable to Prototype Pollution via the set, unSet, pushVal and pullVal functions.

All versions of package promisehelpers are vulnerable to Prototype Pollution via the insert function.

The package connie-lang before 0.1.1 are vulnerable to Prototype Pollution in the configuration language library used by connie.

All versions of package tiny-conf are vulnerable to Prototype Pollution via the set function.

The package bmoor before 0.8.12 are vulnerable to Prototype Pollution via the set function.