How do I run a proof-of-concept from js-vuln-db?

Navigate to the linked markdown file for the CVE, which often contains PoC code. Set up the vulnerable JavaScript engine version in a sandboxed environment and execute the script to reproduce the exploit.

Is js-vuln-db actively updated with new vulnerabilities?

No, it's a static repository with the latest entries around 2019. For current CVEs, you should supplement with sources like the NVD or official engine security advisories.

js-vuln-db vs. NVD: which is better for studying JavaScript engine flaws?

js-vuln-db is specialized with PoCs and engine-specific details, ideal for deep dives. NVD is broader but less focused; use js-vuln-db for research and NVD for comprehensive, up-to-date coverage.

How can I contribute a new CVE entry to js-vuln-db?

Fork the GitHub repository, add a markdown file following the existing structure with CVE details and PoC, then submit a pull request for community review.

What tools can help analyze js-vuln-db data efficiently?

Since there's no built-in API, you can write custom scripts to parse the markdown files or use command-line tools like grep to search by keywords, engines, or years.

Are there common vulnerability patterns in V8 according to js-vuln-db?

Yes, the database shows frequent issues like type confusion and out-of-bounds access in features such as TypedArray and compiler optimizations, based on the keywords listed in the tables.

js-vuln-db — JavaScript Engine Vulnerability Database

What is js-vuln-db?

js-vuln-db is a curated database of Common Vulnerabilities and Exposures (CVEs) affecting JavaScript engines, complete with proof-of-concept exploits. It organizes vulnerabilities by engine (V8, ChakraCore, JavaScriptCore, etc.) and provides details like affected features, keywords, and researcher credits. The project addresses the need for a centralized, accessible resource for studying historical JavaScript engine security flaws.

Target Audience

Security researchers, vulnerability analysts, and low-level JavaScript developers interested in engine internals, exploit development, or historical security trends.

Value Proposition

It offers a structured, PoC-inclusive database that saves researchers time compared to scattered sources. The focus on JavaScript engines makes it uniquely valuable for browser and runtime security analysis.

A collection of JavaScript engine CVEs with PoCs

Use Cases

Best For

Studying historical JavaScript engine vulnerabilities and their patterns
Learning about exploit techniques like type confusion and out-of-bounds (OOB) access
Reproducing CVEs for security research or educational purposes
Analyzing the security evolution of engines like V8 or ChakraCore
Referencing vulnerability details when writing security tools or patches
Understanding how specific JavaScript features (e.g., TypedArray, wasm) have been exploited

Not Ideal For

Teams needing real-time vulnerability alerts and the latest CVE data
Projects requiring automated security scanning or integration into CI/CD pipelines
Organizations that depend on vendor-supported databases for compliance auditing

Pros & Cons

Pros

Engine-Specific Categorization

Vulnerabilities are organized by JavaScript engine (e.g., V8, ChakraCore) in separate tables, making it easy to focus on specific runtimes for analysis.

Proof-of-Concept Inclusion

Many entries include PoC code, enabling hands-on reproduction and study of exploits, as highlighted in the project description.

Detailed Researcher Credits

Each CVE attributes discoveries to top security teams like Google Project Zero and Qihoo 360, providing valuable context and recognition.

Historical Timeline Coverage

The database spans CVEs from 2013 onward, offering a timeline to analyze security evolution in JavaScript engines over time.

Cons

Incomplete Metadata Entries

Some vulnerabilities list '?' for credits or have sparse details, indicating gaps that reduce the database's completeness and reliability.

Static and Outdated Data

The project appears unmaintained with no update mechanism; for instance, the latest entries are from 2019, missing recent CVEs.

No Query or Search Features

As a collection of raw markdown files, it lacks advanced filtering, search, or API access, making data extraction cumbersome.

Frequently Asked Questions

What is js-vuln-db?

Target Audience

Security researchers, vulnerability analysts, and low-level JavaScript developers interested in engine internals, exploit development, or historical security trends.

Value Proposition

Use Cases

Best For

Studying historical JavaScript engine vulnerabilities and their patterns
Learning about exploit techniques like type confusion and out-of-bounds (OOB) access
Reproducing CVEs for security research or educational purposes
Analyzing the security evolution of engines like V8 or ChakraCore
Referencing vulnerability details when writing security tools or patches
Understanding how specific JavaScript features (e.g., TypedArray, wasm) have been exploited

Not Ideal For

Teams needing real-time vulnerability alerts and the latest CVE data
Projects requiring automated security scanning or integration into CI/CD pipelines
Organizations that depend on vendor-supported databases for compliance auditing

Pros & Cons

Pros

Engine-Specific Categorization

Vulnerabilities are organized by JavaScript engine (e.g., V8, ChakraCore) in separate tables, making it easy to focus on specific runtimes for analysis.

Proof-of-Concept Inclusion

Many entries include PoC code, enabling hands-on reproduction and study of exploits, as highlighted in the project description.

Detailed Researcher Credits

Each CVE attributes discoveries to top security teams like Google Project Zero and Qihoo 360, providing valuable context and recognition.

Historical Timeline Coverage

The database spans CVEs from 2013 onward, offering a timeline to analyze security evolution in JavaScript engines over time.

Cons

Incomplete Metadata Entries

Some vulnerabilities list '?' for credits or have sparse details, indicating gaps that reduce the database's completeness and reliability.

Static and Outdated Data

The project appears unmaintained with no update mechanism; for instance, the latest entries are from 2019, missing recent CVEs.

No Query or Search Features

As a collection of raw markdown files, it lacks advanced filtering, search, or API access, making data extraction cumbersome.

Frequently Asked Questions

js-vuln-db

What is js-vuln-db?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

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js-vuln-db

What is js-vuln-db?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

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