CVE-2024-32971
Apollo Router is a configurable, graph router written in Rust to run a federated supergraph that uses Apollo Federation 2. The affected versions of Apollo Router contain a bug that in limited circumstances, could lead to unexpected operations being executed which can result in unintended data or effects. This only affects Router instances configured to use distributed query plan caching. The root cause of this defect is a bug in Apollo Router’s cache retrieval logic: When this defect is present and distributed query planning caching is enabled, asking the Router to execute an operation (whether it is a query, a mutation, or a subscription) may result in an unexpected variation of that operation being executed or the generation of unexpected errors. The issue stems from inadvertently executing a modified version of a previously executed operation, whose query plan is stored in the underlying cache (specifically, Redis). Depending on the type of the operation, the result may vary. For a query, results may be fetched that don’t match what was requested (e.g., rather than running fetchUsers(type: ENTERPRISE) the Router may run fetchUsers(type: TRIAL). For a mutation, this may result in incorrect mutations being sent to underlying subgraph servers (e.g., rather than sending deleteUser(id: 10) to a subgraph, the Router may run deleteUser(id: 12). Users who are using distributed query plan caching, are advised to either upgrade to version 1.45.1 or above or downgrade to version 1.43.2 of the Apollo Router. Apollo Router versions 1.44.0 or 1.45.0 are not recommended for use and have been withdrawn. Users unable to upgrade can disable distributed query plan caching to mitigate this issue.
| Software | From | Fixed in |
|---|---|---|
apollo-router
|
1.44.0 | 1.45.1 |
- https://github.com/apollographql/router/commit/ff9f666598cd17661880fe7fc6e9c9611316e529
- https://github.com/apollographql/router/releases/tag/v1.45.1
- https://github.com/apollographql/router/security/advisories/GHSA-q9p4-hw9m-fj2v
- https://www.apollographql.com/docs/router/configuration/distributed-caching/#distributed-query-plan-caching
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A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.
CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.
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Recurring findings usually come from incomplete Asset Discovery, inconsistent patch management, inherited images, and configuration drift. In modern environments, you also need to watch the software supply chain: dependencies, containers, build pipelines, and third-party services can reintroduce the same weakness even after you patch a single host. Unknown or unmanaged assets (often called Shadow IT) are a common reason the same issues resurface.
Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.
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