Information Security 6 min read

Comparative Evaluation of 360 Fireline and Facebook Infer Static Code Analysis Tools

This article compares Facebook's open‑source static analyzer Infer with 360's Fireline, focusing on resource‑leak detection for Android, presenting test methodology, detailed results across 30 leak scenarios, and highlighting Fireline's higher detection rate and lower false‑positive ratio.

360 Quality & Efficiency
360 Quality & Efficiency
360 Quality & Efficiency
Comparative Evaluation of 360 Fireline and Facebook Infer Static Code Analysis Tools

Static code scanning has evolved for over a decade, with many tools available; among them Facebook's open‑source Infer has been prominent, but 360 Fireline has emerged as a strong contender.

Infer, developed by Facebook, supports Java, Objective‑C, and C/C++ and is known for detecting resource leaks and null‑pointer issues, having earned over 6,700 stars on GitHub.

360 Fireline, created by 360's technical committee and the Qtest team, is a free static analysis tool primarily targeting Android applications, offering comprehensive resource‑leak detection, security‑related rules, fast scanning, and integration with Android Studio, Jenkins, and Gradle.

Fireline provides four rule categories: security (based on 360's SDL with real attack cases), memory (resource‑close issues), logging (sensitive information detection), and basic (style, complexity, and conventions).

Based on extensive research and consultation with industry experts, the authors identified resource‑leak problems as a critical yet often overlooked issue for developers, and found that existing open‑source scanners, including Infer, struggle with complex cross‑class or cross‑method leak scenarios.

Fireline introduced a new solution that correctly identifies dozens of leak patterns, achieving 100% detection across 30 tested scenarios, whereas Infer showed a higher false‑positive rate and missed many complex cases.

Beyond leak detection, Fireline also offers unique logging and mobile‑security rules, providing strong advantages over competitors; however, Infer still needs improvement in null‑pointer detection.

In summary, Fireline demonstrates clear superiority in the evaluated dimensions, especially for Android and Kotlin code, while acknowledging ongoing development needs; users are encouraged to provide feedback via the Fireline support email.

Androidsecuritystatic analysisinferFirelineresource leak
360 Quality & Efficiency
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360 Quality & Efficiency

360 Quality & Efficiency focuses on seamlessly integrating quality and efficiency in R&D, sharing 360’s internal best practices with industry peers to foster collaboration among Chinese enterprises and drive greater efficiency value.

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