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29.01.2026 • 05:45 Research & Innovation

Research Highlights Dependency Confusion Vulnerabilities in iOS Package Managers

Global: Research Highlights Dependency Confusion Vulnerabilities in iOS Package Managers

Researchers have identified that iOS applications frequently disclose internal package names and version numbers, creating a viable attack surface for dependency‑confusion exploits. The study examined the most widely used iOS dependency management systems and quantified the associated risks.

Key Findings on CocoaPods and Other Managers

The analysis focused on CocoaPods, Carthage, and Swift Package Manager (SwiftPM). All three systems were shown to reveal package metadata in app binaries, which can be harvested by adversaries.

Exploitation Scenarios Demonstrated

By registering previously unclaimed package identifiers in CocoaPods, attackers can trigger remote code execution on developer workstations and continuous‑integration servers. The researchers also demonstrated that reclaiming abandoned domains or GitHub URLs enables malicious substitution of legitimate libraries.

Scope of Affected Applications

Out of a dataset of 9,212 iOS apps, the authors estimate that 63 applications could be compromised through a single hijacked CocoaPod library, potentially affecting millions of end users.

Analysis of Public Repositories

Inspection of public GitHub repositories revealed numerous projects that depend on vulnerable or abandoned packages, amplifying the supply‑chain threat.

Comparative Perspective with Other Ecosystems

The paper compares iOS package managers with Cargo, Go modules, Maven, npm, and pip, highlighting that similar confusion attacks have been observed elsewhere and suggesting cross‑ecosystem mitigation tactics.

Recommendations and Mitigation Strategies

Suggested defenses include stricter namespace ownership verification, automated monitoring of abandoned domains, and enhanced tooling to obscure package metadata in released binaries.

This report is based on information from arXiv, licensed under Academic Preprint / Open Access. Based on the abstract of the research paper. Full text available via ArXiv.

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