CodeQL 2.25.4

Discover vulnerabilities across a codebase with CodeQL, an industry-leading semantic code analysis engine. CodeQL lets you query code as though it were data. Write a query to find all variants of a vulnerability, eradicating it forever. Then share your query to help others do the same...

Longitudinal Analyses of SAST Tools: A CodeQL Case Study

Open-source software OSS pipelines rely on automated static analysis tools to prevent the introduction of vulnerabilities in code. However, there is limited understanding of the efficacy of these tools across the OSS ecosystem over time. In this paper, we introduce a novel method to evaluate stat...

CodeQL 2.25.3

Discover vulnerabilities across a codebase with CodeQL, an industry-leading semantic code analysis engine. CodeQL lets you query code as though it were data. Write a query to find all variants of a vulnerability, eradicating it forever. Then share your query to help others do the same...

CodeQL 2.25.2

Discover vulnerabilities across a codebase with CodeQL, an industry-leading semantic code analysis engine. CodeQL lets you query code as though it were data. Write a query to find all variants of a vulnerability, eradicating it forever. Then share your query to help others do the same...

How exposed is your code? Find out in minutes—for free

Most security leaders share the same suspicion: there are vulnerabilities in our codebase that we don't know about. The uncomfortable truth is that most code never gets a thorough security review. Vulnerabilities accumulate quietly in active repositories, across languages and teams, often...

Securing the open source supply chain across GitHub

Over the past year, a new pattern has emerged in attacks on the open source supply chain. Attackers are focusing on exfiltrating secrets like API keys in order to both publish malicious packages from an attacker-controlled machine as well as gain access to more projects in order to propagate the...

Finding Memory Leaks in C/C++ Programs Via Neuro-Symbolic Augmented Static Analysis

Memory leaks remain prevalent in real-world C/C++ software. Static analyzers such as CodeQL provide scalable program analysis but frequently miss such bugs because they cannot recognize project-specific custom memory-management functions and lack path-sensitive control-flow modeling. We present...

GitHub expands application security coverage with AI‑powered detections

AI is accelerating software development and expanding the range of languages and frameworks used in modern repositories. Security teams are increasingly responsible for protecting code written across many ecosystems, not just the core enterprise languages traditionally covered by static analysis...

Sifting the Noise: A Comparative Study of LLM Agents in Vulnerability False Positive Filtering

Static Application Security Testing SAST tools are essential for identifying software vulnerabilities, but they often produce a high volume of false positives FPs, imposing a substantial manual triage burden on developers. Recent advances in Large Language Model LLM agents offer a promising...

Malicious Package

Overview codeql-query is a malicious package. This package contains malicious code, and its content was removed from the official package manager. While this package might be attempting to impersonate a valid organization, there is no connection between that organization and this package...

AI-supported vulnerability triage with the GitHub Security Lab Taskflow Agent

Triaging security alerts is often very repetitive because false positives are caused by patterns that are obvious to a human auditor but difficult to encode as a formal code pattern. But large language models LLMs excel at matching the fuzzy patterns that traditional tools struggle with, so we at...

Multi-Agent Taint Specification Extraction for Vulnerability Detection

Static Application Security Testing SAST tools using taint analysis are widely viewed as providing higher-quality vulnerability detection results compared to traditional pattern-based approaches. However, performing static taint analysis for JavaScript poses two major challenges. First,...

Community-powered security with AI: an open source framework for security research

Since its founding in 2019, GitHub Security Lab has had one primary goal: community-powered security. We believe that the best way to improve software security is by sharing knowledge and tools, and by using open source software so that everybody is empowered to audit the code and report any...

CVE-2019-16765

If an attacker can get a user to open a specially prepared directory tree as a workspace in Visual Studio Code with the CodeQL extension active, arbitrary code of the attacker's choosing may be executed on the user's behalf. This is fixed in version 1.0.1 of the extension. Users should upgrade to...

QLCoder: A Query Synthesizer for Static Analysis of Security Vulnerabilities

Static analysis tools provide a powerful means to detect security vulnerabilities by specifying queries that encode vulnerable code patterns. However, writing such queries is challenging and requires diverse expertise in security and program analysis. To address this challenge, we present QLCoder...

EUVD-2019-7295

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EUVD-2020-1489

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EUVD-2021-19465

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EUVD-2023-32123

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EUVD-2023-2119

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