CVE-2022-37734
Java vulnerability analysis and mitigation

Overview

GraphQL Java before version 19.0 is vulnerable to Denial of Service (CVE-2022-37734). The vulnerability allows an attacker to send a malicious GraphQL query that consumes CPU resources. The issue was discovered in July 2022 and publicly disclosed in September 2022. The vulnerability affects all versions of graphql-java library prior to version 19.0, with fixed versions being 19.0 and later, 18.3, and 17.4 (GitHub Discussion).

Technical details

The vulnerability stems from inefficient processing of directives in GraphQL queries. When processing queries with a large number of directives (e.g., @aa repeated thousands of times), the execution time increases linearly with the number of directives. For example, 5,000 directives took 445ms to process, while 70,000 directives took 6,788ms, showing a clear performance degradation pattern. The issue was specifically related to the ANTLR Lexer's greedy nature in processing tokens, causing significant CPU consumption (GitHub Issue).

Impact

The vulnerability can be exploited to cause a Denial of Service condition by consuming excessive CPU resources on the server. When exploited, the attack can significantly degrade system performance and potentially make the service unavailable to legitimate users (NVD).

Mitigation and workarounds

The primary mitigation is to upgrade to a fixed version of graphql-java. The following versions contain the fix: version 19.0 or later, version 18.3, or version 17.4. The fix implements token counting checks in the lexer to stop processing early when malicious input is detected, preventing the DOS condition (GitHub Discussion).

Community reactions

The vulnerability was initially reported through GitHub issues and was quickly addressed by the GraphQL Java team. The fix was backported to multiple versions to ensure wider coverage for users who couldn't immediately upgrade to the latest version. The community response led to the creation of CVE-2022-37734, and various security advisories were published to alert users (Red Hat Advisory).

Additional resources


SourceThis report was generated using AI

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